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1. Neuroanatomical regions associated with non-progressive dysarthria post-stroke: a systematic review

Author: Marwa Summaka, Salem Hannoun, Hayat Harati, Rama Daoud, Hiba Zein, Elias Estephan, Ibrahim Naim, and Zeina Nasser
Subjects: Non-progressive dysarthria, Stroke, Neuroanatomical regions, Systematic Review, Neurology. Diseases of the nervous system, RC346-429
Abstract: Abstract Background Dysarthria is a common and persisting sequela to stroke. It can have a negative influence on psychological wellbeing, and quality of life. This systematic review aimed to describe and identify the neuroanatomical regions associated with non-progressive dysarthria following stroke. Methods A systematic search of PubMed, Ovid Medline, CINAHL, Cochrane, Scopus, and ScienceDirect was conducted to identify all relevant articles published in peer-reviewed journals up to December 2021. Following data extraction, the National Institutes of Health (NIH) quality assessment tools were used to evaluate the methodological quality of the included studies. Results Out of 2186 papers found in the literature related to dysarthria post-stroke, 24 met the inclusion criteria. Eligible articles assessed 1150 post-stroke subjects. Out of them, 420 subjects had dysarthria from isolated lesions. Regarding dysarthric subjects with ischemic strokes, 153 sustained supratentorial infarctions, while 267 had infratentorial infarctions. The majority had pontine infarctions (n = 142), followed by infarctions in the corona radiata (n = 104), and the cerebellum (n = 64). Conclusion This systematic review is the first step toward establishing a neuroanatomical model of dysarthria throughout the whole brain. Our findings have many implications for clinical practice and provide a framework for implementing guidelines for early detection and management of dysarthria post-stroke.
Published: 2022
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2. Assessment of non-progressive dysarthria: practice and attitude of speech and language therapists in Lebanon

Author: Marwa Summaka, Hayat Harati, Salem Hannoun, Hiba Zein, Nour Koubaisy, Youssef Fares, and Zeina Nasser
Subjects: Non-progressive dysarthria, Assessment, Speech and language therapy, Survey, ICF, Lebanon, Neurology. Diseases of the nervous system, RC346-429
Abstract: Abstract Background Non-progressive dysarthria is an acquired motor speech disorder resulting from neurological diseases such as stroke and traumatic brain injury. The evidence base for the assessment of non-progressive dysarthria remains limited with professional practices relying mainly on therapists’ clinical experience. Limited information on the assessment practices of Lebanese speech and language therapists (SLTs) is available. Such information is crucial for the development of adequate therapy services for clients with non-progressive dysarthria. This study aims to explore the assessment practices and attitudes of Lebanese SLTs working with adults with non-progressive dysarthria and to investigate their adherence to the framework of the World Health Organization’s International Classification of Functioning, Disability and Health (ICF). Methods A cross-sectional study was conducted in Lebanon between March and May 2021. Data was collected through an online survey that included information on socio-demographic characteristics, practices, and attitudes of SLTs who assess adults with non-progressive dysarthria. Results A total of 50 Lebanese SLTs responded to the survey. The majority of SLTs (78%) assessed clients with non-progressive dysarthria across all ICF domains. SLTs reported dissatisfaction with the available assessment tools (64%) and reliance on informal tools (84%). In addition, 68% of the SLTs suggested the crucial need for the development of Arabic formal assessments that can quantitatively evaluate dysarthria and determine severity. The survey also showed that the respondents demonstrated a preference for the use of impairment-based tools. Conclusion It can be concluded that the assessment practices of Lebanese SLTs, generally, follow the international trend and the recommended professional guidelines. Further research initiatives should be held to develop Arabic formal assessment tools for non-progressive dysarthria.
Published: 2021
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3. Editorial: MRI-Based Methods for the Identification of Cerebellar Ataxia Types

Author: Salem Hannoun and Roula Hourani
Subjects: ataxia, markers, neurodegeneration, MRI, detection, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Published: 2022
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4. Case Report: True Motor Recovery of Upper Limb Beyond 5 Years Post-stroke

Author: Carine Ciceron, Dominique Sappey-Marinier, Paola Riffo, Soline Bellaiche, Gabriel Kocevar, Salem Hannoun, Claudio Stamile, Jérôme Redoute, Francois Cotton, Patrice Revol, Nathalie Andre-Obadia, Jacques Luaute, and Gilles Rode
Subjects: stroke, motor, recovery, upper-limb, dexterity, motion analysis, Neurology. Diseases of the nervous system, RC346-429
Abstract: Most of motor recovery usually occurs within the first 3 months after stroke. Herein is reported a remarkable late recovery of the right upper-limb motor function after a left middle cerebral artery stroke. This recovery happened progressively, from two to 12 years post-stroke onset, and along a proximo-distal gradient, including dissociated finger movements after 5 years. Standardized clinical assessment and quantified analysis of the reach-to-grasp movement were repeated over time to characterize the recovery. Twelve years after stroke onset, diffusion tensor imaging (DTI), functional magnetic resonance imaging (fMRI), and transcranial magnetic stimulation (TMS) analyses of the corticospinal tracts were carried out to investigate the plasticity mechanisms and efferent pathways underlying motor control of the paretic hand. Clinical evaluations and quantified movement analysis argue for a true neurological recovery rather than a compensation mechanism. DTI showed a significant decrease of fractional anisotropy, associated with a severe atrophy, only in the upper part of the left corticospinal tract (CST), suggesting an alteration of the CST at the level of the infarction that is not propagated downstream. The finger opposition movement of the right paretic hand was associated with fMRI activations of a broad network including predominantly the contralateral sensorimotor areas. Motor evoked potentials were normal and the selective stimulation of the right hemisphere did not elicit any response of the ipsilateral upper limb. These findings support the idea that the motor control of the paretic hand is mediated mainly by the contralateral sensorimotor cortex and the corresponding CST, but also by a plasticity of motor-related areas in both hemispheres. To our knowledge, this is the first report of a high quality upper-limb recovery occurring more than 2 years after stroke with a genuine insight of brain plasticity mechanisms.
Published: 2022
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5. Corrigendum: Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study

Author: Ilaria Suprano, Chantal Delon-Martin, Gabriel Kocevar, Claudio Stamile, Salem Hannoun, Sophie Achard, Amanpreet Badhwar, Pierre Fourneret, Olivier Revol, Fanny Nusbaum, and Dominique Sappey-Marinier
Subjects: intelligence, functional MRI, resting state, functional connectivity, brain networks, hub disruption index, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Published: 2020
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6. Pre- and Post-therapy Assessment of Clinical Outcomes and White Matter Integrity in Autism Spectrum Disorder: Pilot Study

Author: Stephanie Saaybi, Natally AlArab, Salem Hannoun, Maritherese Saade, Rayyan Tutunji, Carine Zeeni, Rolla Shbarou, Roula Hourani, and Rose-Mary Boustany
Subjects: diffusion tensor imaging (DTI), autism spectrum disorder (ASD), applied behavior analysis (ABA) therapy, ASD interventional therapies, VB-MAPP assessment, Neurology. Diseases of the nervous system, RC346-429
Abstract: Objective: This pilot study aims to identify white matter (WM) tract abnormalities in Autism Spectrum Disorders (ASD) toddlers and pre-schoolers by Diffusion Tensor Imaging (DTI), and to correlate imaging findings with clinical improvement after early interventional and Applied Behavior Analysis (ABA) therapies by Verbal Behavior Milestones Assessment and Placement Program (VB-MAPP).Methods: DTI scans were performed on 17 ASD toddlers/pre-schoolers and seven age-matched controls. Nine ASD patients had follow-up MRI 12 months following early intervention and ABA therapy. VB-MAPP was assessed and compared at diagnosis, 6 and 12 months after therapies. Tract-Based Spatial Statistics (TBSS) was used to measure fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial (RD) diffusivity.Results: VB-MAPP scores improved at 6 and 12 months after early intervention and ABA therapy compared to scores at baseline. TBSS analysis showed significant FA decrease and/or RD increase in ASD patients before therapy vs. controls in inferior fronto-occipital fasciculi, uncinate fasciculi, left superior fronto-occipital fasciculus, forceps minor, left superior fronto-occipital fasciculus, right superior longitudinal fasciculus, corona radiate bilaterally, and left external capsule. A significantly FA increase in 21 tracts and ROIs is reported in post- vs. pre-therapy DTI analysis.Conclusion: DTI findings highlighted ASD patient WM abnormalities at diagnosis and confirmed the benefits of 12 months of early intervention and ABA therapy on clinical and neuro imaging outcomes.
Published: 2019
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7. Topological Modification of Brain Networks Organization in Children With High Intelligence Quotient: A Resting-State fMRI Study

Author: Ilaria Suprano, Chantal Delon-Martin, Gabriel Kocevar, Claudio Stamile, Salem Hannoun, Sophie Achard, Amanpreet Badhwar, Pierre Fourneret, Olivier Revol, Fanny Nusbaum, and Dominique Sappey-Marinier
Subjects: intelligence, functional MRI, resting state, functional connectivity, brain networks, hub disruption index, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: The idea that intelligence is embedded not only in a single brain network, but instead in a complex, well-optimized system of complementary networks, has led to the development of whole brain network analysis. Using graph theory to analyze resting-state functional MRI data, we investigated the brain graph networks (or brain networks) of high intelligence quotient (HIQ) children. To this end, we computed the “hub disruption index κ,” an index sensitive to graph network modifications. We found significant topological differences in the integration and segregation properties of brain networks in HIQ compared to standard IQ children, not only for the whole brain graph, but also for each hemispheric graph, and for the homotopic connectivity. Moreover, two profiles of HIQ children, homogenous and heterogeneous, based on the differences between the two main IQ subscales [verbal comprehension index (VCI) and perceptual reasoning index (PRI)], were compared. Brain network changes were more pronounced in the heterogeneous than in the homogeneous HIQ subgroups. Finally, we found significant correlations between the graph networks’ changes and the full-scale IQ (FSIQ), as well as the subscales VCI and PRI. Specifically, the higher the FSIQ the greater was the brain organization modification in the whole brain, the left hemisphere, and the homotopic connectivity. These results shed new light on the relation between functional connectivity topology and high intelligence, as well as on different intelligence profiles.
Published: 2019
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8. Graph Theory-Based Brain Connectivity for Automatic Classification of Multiple Sclerosis Clinical Courses

Author: Gabriel Kocevar, Claudio Stamile, Salem Hannoun, François Cotton, Sandra Vukusic, Françoise Durand-Dubief, and Dominique Sappey-Marinier
Subjects: Classification, Diffusion Tensor Imaging, Multiple Sclerosis, MRI, SVM, graph theory, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract: Purpose: In this work, we introduce a method to classify Multiple Sclerosis (MS) patients into four clinical profiles using structural connectivity information. For the first time, we try to solve this question in a fully automated way using a computer-based method. The main goal is to show how the combination of graph-derived metrics with machine learning techniques constitutes a powerful tool for a better characterization and classification of MS clinical profiles.Materials and methods: Sixty-four MS patients (12 Clinical Isolated Syndrome (CIS), 24 Relapsing Remitting (RR), 24 Secondary Progressive (SP), and 17 Primary Progressive (PP)) along with 26 healthy controls (HC) underwent MR examination. T1 and diffusion tensor imaging (DTI) were used to obtain structural connectivity matrices for each subject. Global graph metrics, such as density and modularity, were estimated and compared between subjects’ groups. These metrics were further used to classify patients using tuned Support Vector Machine (SVM) combined with Radial Basic Function (RBF) kernel.Results: When comparing MS patients to HC subjects, a greater assortativity, transitivity and characteristic path length as well as a lower global efficiency were found. Using all graph metrics, the best F-Measures (91.8%, 91.8%, 75.6% and 70.6%) were obtained for binary (HC-CIS, CIS-RR, RR-PP) and multi-class (CIS-RR-SP) classification tasks, respectively. When using only one graph metric, the best F-Measures (83.6%, 88.9% and 70.7%) were achieved for modularity with previous binary classification tasks.Conclusion: Based on a simple DTI acquisition associated with structural brain connectivity analysis, this automatic method allowed an accurate classification of different MS patients’ clinical profiles.
Published: 2016
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9. A Sensitive and Automatic White Matter Fiber Tracts Model for Longitudinal Analysis of Diffusion Tensor Images in Multiple Sclerosis.

Author: Claudio Stamile, Gabriel Kocevar, François Cotton, Françoise Durand-Dubief, Salem Hannoun, Carole Frindel, Charles R G Guttmann, David Rousseau, and Dominique Sappey-Marinier
Subjects: Medicine, Science
Abstract: Diffusion tensor imaging (DTI) is a sensitive tool for the assessment of microstructural alterations in brain white matter (WM). We propose a new processing technique to detect, local and global longitudinal changes of diffusivity metrics, in homologous regions along WM fiber-bundles. To this end, a reliable and automatic processing pipeline was developed in three steps: 1) co-registration and diffusion metrics computation, 2) tractography, bundle extraction and processing, and 3) longitudinal fiber-bundle analysis. The last step was based on an original Gaussian mixture model providing a fine analysis of fiber-bundle cross-sections, and allowing a sensitive detection of longitudinal changes along fibers. This method was tested on simulated and clinical data. High levels of F-Measure were obtained on simulated data. Experiments on cortico-spinal tract and inferior fronto-occipital fasciculi of five patients with Multiple Sclerosis (MS) included in a weekly follow-up protocol highlighted the greater sensitivity of this fiber scale approach to detect small longitudinal alterations.
Published: 2016
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10. Microstructural changes in the striatum and their impact on motor and neuropsychological performance in patients with multiple sclerosis.

Author: Michele Cavallari, Antonia Ceccarelli, Guang-Yi Wang, Nicola Moscufo, Salem Hannoun, Christina R Matulis, Jonathan S Jackson, Bonnie I Glanz, Rohit Bakshi, Mohit Neema, and Charles R G Guttmann
Subjects: Medicine, Science
Abstract: Grey matter (GM) damage is a clinically relevant feature of multiple sclerosis (MS) that has been previously assessed with diffusion tensor imaging (DTI). Fractional anisotropy (FA) of the basal ganglia and thalamus might be increased in MS patients, and correlates with disability scores. Despite the established role of the striatum and thalamus in motor control, mood and cognition, the impact of DTI changes within these structures on motor and neuropsychological performance has not yet been specifically addressed in MS. We investigated DTI metrics of deep GM nuclei and their potential association with mobility and neuropsychological function. DTI metrics from 3T MRI were assessed in the caudate, putamen, and thalamus of 30 MS patients and 10 controls. Sixteen of the patients underwent neuropsychological testing. FA of the caudate and putamen was higher in MS patients compared to controls. Caudate FA correlated with Expanded Disability Status Scale score, Ambulation Index, and severity of depressive symptomatology. Putamen and thalamus FA correlated with deficits in memory tests. In contrast, cerebral white matter (WM) lesion burden showed no significant correlation with any of the disability, mobility and psychometric parameters. Our findings support evidence of FA changes in the basal ganglia in MS patients, as well as deep GM involvement in disabling features of MS, including mobility and cognitive impairment. Deep GM FA appears to be a more sensitive correlate of disability than WM lesion burden.
Published: 2014
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11. Personal Income Performance Correlates with Brain Structural Network Modularity but Not Intelligence Quotient.

Author: Fanny Nusbaum, Salem Hannoun, Berardino Barile, Ilaria Suprano, Sabine Mouchet, and Dominique Sappey-Marinier
Published: 2024
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12. Correlation of diffusion and metabolic alterations in different clinical forms of multiple sclerosis.

Author: Salem Hannoun, Matthieu Bagory, Francoise Durand-Dubief, Danielle Ibarrola, Jean-Christophe Comte, Christian Confavreux, Francois Cotton, and Dominique Sappey-Marinier
Subjects: Medicine, Science
Abstract: Diffusion tensor imaging (DTI) and MR spectroscopic imaging (MRSI) provide greater sensitivity than conventional MRI to detect diffuse alterations in normal appearing white matter (NAWM) of Multiple Sclerosis (MS) patients with different clinical forms. Therefore, the goal of this study is to combine DTI and MRSI measurements to analyze the relation between diffusion and metabolic markers, T2-weighted lesion load (T2-LL) and the patients clinical status. The sensitivity and specificity of both methods were then compared in terms of MS clinical forms differentiation. MR examination was performed on 71 MS patients (27 relapsing remitting (RR), 26 secondary progressive (SP) and 18 primary progressive (PP)) and 24 control subjects. DTI and MRSI measurements were obtained from two identical regions of interest selected in left and right centrum semioval (CSO) WM. DTI metrics and metabolic contents were significantly altered in MS patients with the exception of N-acetyl-aspartate (NAA) and NAA/Choline (Cho) ratio in RR patients. Significant correlations were observed between diffusion and metabolic measures to various degrees in every MS patients group. Most DTI metrics were significantly correlated with the T2-LL while only NAA/Cr ratio was correlated in RR patients. A comparison analysis of MR methods efficiency demonstrated a better sensitivity/specificity of DTI over MRSI. Nevertheless, NAA/Cr ratio could distinguish all MS and SP patients groups from controls, while NAA/Cho ratio differentiated PP patients from controls. This study demonstrated that diffusivity changes related to microstructural alterations were correlated with metabolic changes and provided a better sensitivity to detect early changes, particularly in RR patients who are more subject to inflammatory processes. In contrast, the better specificity of metabolic ratios to detect axonal damage and demyelination may provide a better index for identification of PP patients.
Published: 2012
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13. Correction: Correlation of Diffusion and Metabolic Alterations in Different Clinical Forms of Multiple Sclerosis.

Author: Salem Hannoun, Matthieu Bagory, Francoise Durand-Dubief, Danielle Ibarrola, Jean-Christophe Comte, Christian Confavreux, Francois Cotton, and Dominique Sappey-Marinier
Subjects: Medicine, Science
Published: 2012
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14. Automatic Thalamus Segmentation on Unenhanced 3D T1 Weighted Images: Comparison of Publicly Available Segmentation Methods in a Pediatric Population.

Author: Salem Hannoun, Rayyan Tutunji, Maria El Homsi, Stephanie Saaybi, and Roula Hourani
Published: 2019
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15. Numerical, spatial and material magnitude estimation in left and right brain-damaged patients

Author: Alexandrine Faye, François Osiurak, Mathieu Lesourd, Salem Hannoun, François Cotton, Jérémy Besnard, and Sophie Jacquin-Courtois
Subjects: Cellular and Molecular Neuroscience, Neuropsychology and Physiological Psychology
Abstract: In this study, we tested the main prediction derived from the “A Theory Of Magnitude” or ATOM, according to which discrete (e.g., numbers) and continuous (e.g., space, material) magnitudes are processed within the right hemisphere. To do so, we examined 11 right brain-damaged patients, 19 left brain-damaged patients, and 30 healthy subjects on different tasks assessing magnitude estimation: symbolic and non-symbolic numerical magnitude as well as spatial (i.e., length) and material (i.e., weight) magnitude. Contrary to the ATOM’s predictions, we did not find significant correlations between all the magnitude estimation tasks in right brain-damaged patients. Correlations between numerical and length magnitudes were found in left brain-damaged patients and healthy subjects. Our results support the existence of a partial independence between the different forms of magnitude estimation processing.
Published: 2022
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16. A longitudinal model for variations detection in white matter fiber-bundles.

Author: Claudio Stamile, Gabriel Kocevar, François Cotton, Salem Hannoun, Françoise Durand-Dubief, Carole Frindel, David Rousseau, and Dominique Sappey-Marinier
Published: 2015
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17. A Graph Based Classification Method for Multiple Sclerosis Clinical Forms Using Support Vector Machine.

Author: Claudio Stamile, Gabriel Kocevar, Salem Hannoun, Françoise Durand-Dubief, and Dominique Sappey-Marinier
Published: 2015
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18. Brain magnetic resonance imaging findings and brain volumetric differences in a large series of benign rolandic epilepsy

Author: Rida Salman, Wassim Nasreddine, Salem Hannoun, Widad Abou Chaar, Karl Asmar, Ahmad Beydoun, and Roula Hourani
Subjects: Case-Control Studies, Humans, Brain, Radiology, Nuclear Medicine and imaging, Neurology (clinical), General Medicine, Gray Matter, Child, Epilepsy, Rolandic, Magnetic Resonance Imaging
Abstract: Background Several studies with a small sample size have investigated the relationship between structural and functional changes on MRI and the clinical and natural history of BRE. We aim to assess the frequency of incidental epileptogenic lesions on brain MRI in a large cohort of patients diagnosed with BRE and to assess the difference in volumetric brain measurements in BRE patients compared to healthy controls. Methods The case–control study includes 214 typical BRE cases and 197 control children with non-epileptic spells. Brain MRIs were evaluated for abnormalities which were classified into normal and abnormal with or without epileptogenic lesions with categorization of epileptogenic lesions. Brain segmentation was also performed for a smaller group of BRE patients and another healthy control group. Pearson’s chi-squared test and two-tailed independent samples t-test were used. Results In patients with BRE, 7% had an epileptogenic lesion on their MRI. The frequency of epileptogenic lesion in the control group was 10.2% and not significantly different from those with BRE ( p= 0.2). Significantly higher intracranial and white matter volumes were found in BRE patients compared to the healthy group while lower gray matter volume was found in BRE patients. Cortical and subcortical regions showed either higher or lower volumes with BRE. Interestingly, altered subcallosal cortex development which has a known association with depression was also found in BRE. Conclusions Our findings confirm the absence of any association between specific brain MRI abnormalities and BRE. However, the altered cortical and subcortical development in BRE patients suggests a microstructural-functional correlation.
Published: 2022
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19. T1/T2 ratio: A quantitative sensitive marker of brain tissue integrity in multiple sclerosis

Author: François Cotton, Françoise Durand-Dubief, Pekes Codjia, Salem Hannoun, Gabriel Kocevar, Berardino Barile, and Dominique Sappey-Marinier
Subjects: Multiple Sclerosis, business.industry, Cerebral white matter, Multiple sclerosis, Brain, Structural integrity, Brain tissue, medicine.disease, White Matter, Diffusion Tensor Imaging, Multiple Sclerosis, Relapsing-Remitting, Fractional anisotropy, Healthy control, medicine, Humans, Radiology, Nuclear Medicine and imaging, Neurology (clinical), Nuclear medicine, business, Diffusion MRI
Abstract: BACKGROUND AND PURPOSE The aim of this study is to determine whether cerebral white matter (WM) microstructural damage, defined by decreased fractional anisotropy (FA) and increased axial (AD) and radial (RD) diffusivities, could be detected as accurately by measuring the T1/T2 ratio, in relapsing-remitting multiple sclerosis (RRMS) patients compared to healthy control (HC) subjects. METHODS Twenty-eight RRMS patients and 24 HC subjects were included in this study. Region-based analysis based on the ICBM-81 diffusion tensor imaging (DTI) atlas WM labels was performed to compare T1/T2 ratio to DTI values in normal-appearing WM (NAWM) regions of interest. Lesions segmentation was also performed and compared to the HC global WM. RESULTS A significant 19.65% decrease of T1/T2 ratio values was observed in NAWM regions of RRMS patients compared to HC. A significant 6.30% decrease of FA, as well as significant 4.76% and 10.27% increases of AD and RD, respectively, were observed in RRMS compared to the HC group in various NAWM regions. Compared to the global WM HC mask, lesions have significantly decreased T1/T2 ratio and FA and increased AD and RD (p < . 001). CONCLUSIONS Results showed significant differences between RRMS and HC in both DTI and T1/T2 ratio measurements. T1/T2 ratio even demonstrated extensive WM abnormalities when compared to DTI, thereby highlighting the ratio's sensitivity to subtle differences in cerebral WM structural integrity using only conventional MRI sequences.
Published: 2021
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20. MRI to detect and localize the area postrema in multiple sclerosis: The role of 3D‐DIR and 3D‐FLAIR

Author: Romain Marignier, Valentine Farges, Salem Hannoun, François Cotton, and Théo Benini
Subjects: Multiple Sclerosis, Inversion recovery, Fluid-attenuated inversion recovery, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Imaging, Three-Dimensional, 0302 clinical medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Neuromyelitis optica, medicine.diagnostic_test, business.industry, Multiple sclerosis, Neuromyelitis Optica, Area postrema, Magnetic resonance imaging, medicine.disease, Magnetic Resonance Imaging, Area Postrema, Medulla oblongata, Neurology (clinical), No detection, Nuclear medicine, business, 030217 neurology & neurosurgery
Abstract: Background and purpose Area postrema (AP) is a highly vascularized paired 2 mm-long anatomical structure, localized on the dorsal inferior surface of the medulla oblongata, at the caudal end of the fourth-ventricle. AP is principally affected in AP syndrome, which is commonly associated with autoimmune inflammatory diseases, including essentially neuromyelitis optica spectrum disorder (NMOSD). The aim of this study is to assess the best cerebral MRI sequences and planes for AP detection in order to assist or aid in the diagnosis of difficult NMOSD cases. Methods 3DT1, 2DT2, 3D-fluid-attenuated inversion recovery (3DFLAIR), and 3D-double inversion recuperation (3DDIR), routinely used in inflammatory diseases, were analyzed and scored based on quality (0-2), and ability to detect AP in each plane (0 = no detection, 1 = probable detection, 2 = obvious detection). Based on image availability, subjects were divided into three groups: Group-1, including 100 randomly selected subjects with 3DT1 and 3DFLAIR, Group-2, including 30 multiple sclerosis (MS) patients from the "Observatoire Francais de la Sclerose En Plaques" (OFSEP) with 3DT1, 3DFLAIR, and 3DDIR, and Group-3, including 164 OFSEP MS patients with 3DFLAIR and 2DT2. Results AP was undetectable on 3DT1 and 2DT2. AP was detected in 87% of 3DFLAIR in Group-1, 90% in Group-2, and 90% in Group-3. AP was also detected in 100% of 3DDIR images in the axial plane. Conclusions As evidenced, AP was easily assessed on 3DDIR and 3DFLAIR emphasizing the importance of adding these sequences to NMOSD MRI-protocols. Moreover, the most effective imaging plane in identifying AP was the axial plane.
Published: 2021
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21. Signal Intensity Evaluation in the Dentate Nucleus and Subcortical Gray Matter

Author: Françoise Durand-Dubief, François Cotton, Gabriel Kocevar, Sandra Vukusic, Delphine Maucort-Boulch, Dominique Sappey-Marinier, Salem Hannoun, and Pekes Codjia
Subjects: Clinically isolated syndrome, business.industry, Gadolinium, Multiple sclerosis, chemistry.chemical_element, medicine.disease, Subcortical gray matter, 030218 nuclear medicine & medical imaging, White matter, 03 medical and health sciences, 0302 clinical medicine, medicine.anatomical_structure, Dentate nucleus, Nuclear magnetic resonance, Globus pallidus, chemistry, medicine, Radiology, Nuclear Medicine and imaging, Neurology (clinical), Signal intensity, business, 030217 neurology & neurosurgery
Abstract: Several studies reported gadolinium deposition in the dentate nuclei (DN) and the globus pallidus (GP) that was associated to linear GBCA administrations rather than macrocyclic. It is therefore imperative to evaluate and assess the safety of cumulative administration of gadoterate meglumine (macrocyclic). Thus, T1-weighted images (T1WI) of multiple sclerosis (MS) patients longitudinally followed for 4 years were retrospectively analyzed. In this study 44 patients, 10 with clinically isolated syndrome (CIS), 24 relapsing-remitting MS (RRMS) and 10 primary-progressive MS (PPMS) were examined every 6 months (first four scans) and then with a 1-year interval (last two scans). Image processing consisted in reorienting unenhanced T1WI to standard space, followed by B1 inhomogeneity correction. A patient-specific template was then generated to normalize T1WI signal intensity (SI) and segment the DN and subcortical GM structures. All structures were then transformed to each patient space in order to measure the SI in each region. The cerebellar peduncles (CP) and semi-oval (SO) white matter were then manually delineated and used as reference to calculate SI ratios in the DN and subcortical GM structures. A linear mixed-effect model was finally applied to longitudinally analyze SI variations. The SI measurements performed in all structures showed no significant increases with the cumulative GBCA administration. This study showed no significant SI increases within the DN and subcortical GM structures of longitudinally followed MS patients even with the cumulative administration of the macrocyclic GBCA gadoterate meglumine.
Published: 2021
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22. Is Migraine Associated to Brain Anatomical Alterations? New Data and Coordinate-Based Meta-analysis

Author: Rémy Masson, David Meunier, Salem Hannoun, Aurélie Bidet-Caulet, Geneviève Demarquay, Yohana Lévêque, Anne Caclin, Centre de recherche en neurosciences de Lyon (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon, Hospices Civils de Lyon (HCL), American University of Beirut Faculty of Medicine and Medical Center (AUB), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), American University of Beirut [Beyrouth] (AUB), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), ANR-11-LABX-0042,CORTEX,Construction, Fonction Cognitive et Réhabilitation du Cerveau(2011), ANR-10-LABX-0060,CeLyA,Lyon Acoustics Centre(2010), ANR-16-IDEX-0005,IDEXLYON,IDEXLYON(2016), Otten, Lisa, Construction, Fonction Cognitive et Réhabilitation du Cerveau - - CORTEX2011 - ANR-11-LABX-0042 - LABX - VALID, Lyon Acoustics Centre - - CeLyA2010 - ANR-10-LABX-0060 - LABX - VALID, and IDEXLYON - - IDEXLYON2016 - ANR-16-IDEX-0005 - IDEX - VALID
Subjects: Aura, tractbased spatial statistics, coordinate-based meta-analysis, Migraine Disorders, computer.software_genre, 050105 experimental psychology, 03 medical and health sciences, 0302 clinical medicine, Neuroimaging, Voxel, medicine, voxel-based morphometry, Humans, migraine, 0501 psychology and cognitive sciences, Radiology, Nuclear Medicine and imaging, Gray Matter, Gyrification, Left superior longitudinal fasciculus, ComputingMilieux_MISCELLANEOUS, 030304 developmental biology, 0303 health sciences, Radiological and Ultrasound Technology, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, 05 social sciences, Brain, Voxel-based morphometry, Anatomy, Sulcus, medicine.disease, Magnetic Resonance Imaging, White Matter, surface-based morphometry, Diffusion Tensor Imaging, medicine.anatomical_structure, Neurology, Migraine, Meta-analysis, Neurology (clinical), business, computer, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, 030217 neurology & neurosurgery, Diffusion MRI
Abstract: A growing number of studies investigate brain anatomy in migraine using voxel-(VBM) and surface-based morphometry (SBM), as well as diffusion tensor imaging (DTI). The purpose of this article is to identify consistent patterns of anatomical alterations associated with migraine. First, 19 migraineurs without aura and 19 healthy participants were included in a brain imaging study. T1-weighted MRIs and DTI sequences were acquired and analyzed using VBM, SBM and tract-based spatial statistics. No significant alterations of gray matter (GM) volume, cortical thickness, cortical gyrification, sulcus depth and white-matter tract integrity could be observed. However, migraineurs displayed decreased white matter (WM) volume in the left superior longitudinal fasciculus. Second, a systematic review of the literature employing VBM, SBM and DTI was conducted to investigate brain anatomy in migraine. Meta-analysis was performed using Seed-based d Mapping via permutation of subject images (SDM-PSI) on GM volume, WM volume and cortical thickness data. Alterations of GM volume, WM volume, cortical thickness or white-matter tract integrity were reported in 72%, 50%, 56% and 33% of published studies respectively. Spatial distribution and direction of the disclosed effects were highly inconsistent across studies. The SDM-PSI analysis revealed neither significant decrease nor significant increase of GM volume, WM volume or cortical thickness in migraine. Overall there is to this day no strong evidence of specific brain anatomical alterations reliably associated to migraine. Possible explanations of this conflicting literature are discussed.Trial registration numberNCT02791997, registrated February 6th, 2015.
Published: 2021
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23. Rate of Retinal Layer Thinning as a Biomarker for Conversion to Progressive Disease in Multiple Sclerosis

Author: Nabil K. El Ayoubi, Hadi M. Sabbagh, Nicole Bou Rjeily, Salem Hannoun, and Samia J. Khoury
Subjects: Multiple Sclerosis, Neurology, Humans, Neurology (clinical), Multiple Sclerosis, Chronic Progressive, Biomarkers, Retina, Tomography, Optical Coherence
Abstract: Background and ObjectivesThe diagnosis of secondary progressive multiple sclerosis (SPMS) is often delayed because of the lack of objective clinical tools, which increases the diagnostic uncertainty and hampers the therapeutic development in progressive multiple sclerosis (MS). Optical coherence tomography (OCT) has been proposed as a promising biomarker of progressive neurodegeneration. To explore longitudinal changes in the thicknesses of retinal layers on OCT in individuals with relapsing-remitting MS (RRMS) who converted to SPMS vs matched patients with RRMS who did not convert to SPMS. Our hypothesis is that the 2 cohorts exhibit different rates of retinal thinning.MethodsFrom our prospective observational cohort of patients with MS at the American University of Beirut, we selected patients with RRMS who converted to SPMS during the observation period and patients with RRMS, matched by age, disease duration, and Expanded Disability Status Scale (EDSS) at the first visit. Baseline retinal measurements were obtained using spectral domain OCT, and all patients underwent clinical and OCT evaluation every 6–12 months on average throughout the study period (mean = 4 years). Mixed-effect regression models were used to assess the annualized rates of retinal changes and the differences between the 2 groups and between converters to SPMS before and after their conversion.ResultsA total of 61 participants were selected (21 SPMS and 40 RRMS). There were no differences in baseline characteristics and retinal measurements between the 2 groups. The annualized rates of thinning of all retinal layers, except for macular volume, were greater in converters before conversion compared with nonconverters by 112% for peripapillary retinal nerve fiber layer (p= 0.008), 344% for tRNFL (p< 0.0001), and 82% for cell-inner plexiform layer (GCIPL) (p= 0.002). When comparing the annualized rate of thinning for the same patients with SPMS before and after conversion, no significant differences were found except for tRNFL and GCIPL with slower thinning rates postconversion (46% and 68%, respectively).DiscussionPatients who converted to SPMS exhibited faster retinal thinning as reflected on OCT. Longitudinal assessment of retinal thinning could confirm the transition to SPMS and help with the therapeutic decision making for patients with MS with clinical suspicion of disease progression.
Published: 2022

24. Cerebellar Ataxia With Anti-DNER Antibodies: Outcomes and Immunologic Features

Author: Elise Peter, Le Duy Do, Salem Hannoun, Sergio Muñiz-Castrillo, Alberto Vogrig, Valentin Wucher, Anne-Laurie Pinto, Naura Chounlamountri, Walaa Zakaria, Veronique Rogemond, Geraldine Picard, Julien-Jacques Hedou, Aditya Ambati, Agusti Alentorn, Alexandra Traverse-Glehen, Mario Manto, Dimitri Psimaras, Emmanuel Mignot, Francois Cotton, Virginie Desestret, Jérôme Honnorat, and Bastien Joubert
Subjects: Adult, Aged, 80 and over, Male, Proteomics, Cerebellar Ataxia, Nerve Tissue Proteins, Receptors, Cell Surface, Middle Aged, Young Adult, Neurology, Immunoglobulin G, Cell Surface, Receptors, 80 and over, Aged, Female, Humans, Retrospective Studies, Neurology (clinical)
Abstract: Background and ObjectivesThere is no report on the long-term outcomes of ataxia with antibodies against Delta and Notch-like epidermal growth factor–related (DNER). We aimed to describe the clinical-immunologic features and long-term outcomes of patients with anti-DNER antibodies.MethodsPatients tested positive for anti-DNER antibodies between 2000 and 2020 were identified retrospectively. In those with available samples, immunoglobulin G (IgG) subclass analysis, longitudinal cerebellum volumetry, human leukocyte antigen isotyping, and CSF proteomic analysis were performed. Rodent brain membrane fractionation and organotypic cerebellar slices were used to study DNER cell-surface expression and human IgG binding to the Purkinje cell surface.ResultsTwenty-eight patients were included (median age, 52 years, range 19–81): 23 of 28 (82.1%) were male and 23 of 28 (82.1%) had a hematologic malignancy. Most patients (27/28, 96.4%) had cerebellar ataxia; 16 of 28 (57.1%) had noncerebellar symptoms (cognitive impairment, neuropathy, and/or seizures), and 27 of 28 (96.4%) became moderately to severely disabled. Half of the patients (50%) improved, and 32.1% (9/28) had no or slight disability at the last visit (median, 26 months; range, 3–238). Good outcome significantly associated with younger age, milder clinical presentations, and less decrease of cerebellar gray matter volumes at follow-up. No human leukocyte antigen association was identified. Inflammation-related proteins were overexpressed in the patients' CSF. In the rodent brain, DNER was enriched in plasma membrane fractions. Patients' anti-DNER antibodies were predominantly IgG1/3 and bound live Purkinje cells in vitro.DiscussionDNER ataxia is a treatable condition in which nearly a third of patients have a favorable outcome. DNER antibodies bind to the surface of Purkinje cells and are therefore potentially pathogenic, supporting the use of B-cell–targeting treatments.
Published: 2022

25. Assessment of non-progressive dysarthria: practice and attitude of speech and language therapists in Lebanon

Author: Salem Hannoun, Hiba Zein, Marwa Summaka, Zeina Nasser, Nour Koubaisy, Hayat Harati, and Youssef Fares
Subjects: Adult, congenital, hereditary, and neonatal diseases and abnormalities, Attitude of Health Personnel, Arabic, Speech Therapy, Assessment, World health, Dysarthria, International Classification of Functioning, Disability and Health, Motor speech disorders, medicine, Humans, Speech, Lebanon, RC346-429, Survey, business.industry, Research, ICF, General Medicine, Speech and language therapy, medicine.disease, Non-progressive dysarthria, language.human_language, nervous system diseases, Cross-Sectional Studies, Language Therapy, language, Neurology. Diseases of the nervous system, Neurology (clinical), medicine.symptom, business, Clinical psychology
Abstract: Background Non-progressive dysarthria is an acquired motor speech disorder resulting from neurological diseases such as stroke and traumatic brain injury. The evidence base for the assessment of non-progressive dysarthria remains limited with professional practices relying mainly on therapists’ clinical experience. Limited information on the assessment practices of Lebanese speech and language therapists (SLTs) is available. Such information is crucial for the development of adequate therapy services for clients with non-progressive dysarthria. This study aims to explore the assessment practices and attitudes of Lebanese SLTs working with adults with non-progressive dysarthria and to investigate their adherence to the framework of the World Health Organization’s International Classification of Functioning, Disability and Health (ICF). Methods A cross-sectional study was conducted in Lebanon between March and May 2021. Data was collected through an online survey that included information on socio-demographic characteristics, practices, and attitudes of SLTs who assess adults with non-progressive dysarthria. Results A total of 50 Lebanese SLTs responded to the survey. The majority of SLTs (78%) assessed clients with non-progressive dysarthria across all ICF domains. SLTs reported dissatisfaction with the available assessment tools (64%) and reliance on informal tools (84%). In addition, 68% of the SLTs suggested the crucial need for the development of Arabic formal assessments that can quantitatively evaluate dysarthria and determine severity. The survey also showed that the respondents demonstrated a preference for the use of impairment-based tools. Conclusion It can be concluded that the assessment practices of Lebanese SLTs, generally, follow the international trend and the recommended professional guidelines. Further research initiatives should be held to develop Arabic formal assessment tools for non-progressive dysarthria.
Published: 2021
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26. Central vein sign: A putative diagnostic marker for multiple sclerosis

Author: Samia J. Khoury, Nancy Safwan, Salem Hannoun, Lara Chaaban, Sally El-Sammak, and Hussein Moussa
Subjects: medicine.medical_specialty, Multiple Sclerosis, Veins, fluids and secretions, medicine, Humans, Vein, medicine.diagnostic_test, business.industry, Multiple sclerosis, Brain, Diagnostic marker, Magnetic resonance imaging, General Medicine, equipment and supplies, medicine.disease, Magnetic Resonance Imaging, Biomarker (cell), medicine.anatomical_structure, Neurology, White Matter Diseases, Susceptibility weighted imaging, Neurology (clinical), Radiology, business, Biomarkers, Sign (mathematics)
Abstract: The presence of a "central vein sign" (CVS) has been introduced as a biomarker for the diagnosis of multiple sclerosis (MS) and shown to have the ability to accurately differentiate MS from other white matter diseases (MS mimics). Following the development of susceptibility-based magnetic resonance venography that allowed the in vivo detection of CVS, a standard CVS definition was established by introducing the "40% rule" that assesses the number of MS lesions with CVS as a fraction of the total number of lesions to differentiate MS lesions from other types of lesions. The "50% rule," the "three-lesion criteria," and the "six-lesion criteria" were later introduced and defined. Each of these rules had high levels of sensitivity, specificity, and accuracy in differentiating MS from other diseases, which has been recognized by the Magnetic Resonance Imaging in MS (MAGNIMS) group and the Consortium of MS Centers task force. The North American Imaging in Multiple Sclerosis Cooperative even provided statements and recommendations aiming to refine, standardize and evaluate the CVS in MS. Herein, we review the existing literature on CVS and evaluate its added value in the diagnosis of MS and usefulness in differentiating it from other vasculopathies. We also review the histopathology of CVS and identify available automated CVS assessment methods as well as define the role of vascular comorbidities in the diagnosis of MS.
Published: 2021

27. Gadoterate Meglumine Administration in Multiple Sclerosis has no Effect on the Dentate Nucleus and the Globus Pallidus Signal Intensities

Author: Marwa Baalbaki, Nabil K. El Ayoubi, Rayane Issa, Salem Hannoun, Roula Hourani, Ribal Haddad, Bassem Yamout, and Samia J. Khoury
Subjects: Adult, Male, Multiple Sclerosis, Adolescent, Gadolinium, Contrast Media, chemistry.chemical_element, Globus Pallidus, 030218 nuclear medicine & medical imaging, Cohort Studies, Young Adult, 03 medical and health sciences, Meglumine, 0302 clinical medicine, Centrum semiovale, Mole, Organometallic Compounds, medicine, Humans, Radiology, Nuclear Medicine and imaging, Longitudinal Studies, Child, Aged, Retrospective Studies, business.industry, Multiple sclerosis, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Pons, Globus pallidus, Dentate nucleus, Cerebellar Nuclei, chemistry, 030220 oncology & carcinogenesis, Administration, Intravenous, Female, business, Nuclear medicine, GADOTERATE MEGLUMINE
Abstract: Previous studies on possible accumulation of gadolinium-based contrast agents (GBCA) in the brain suggest that macrocyclic GBCA are less likely to accumulate than linear GBCA. However, conflicting results have been reported, especially in MS. The aim of this study is to investigate retrospectively the correlation between gadoterate-meglumine (macrocyclic GBCA) use and T1 signal intensity changes (SI) in the dentate nucleus and the GP on unenhanced T1-weighted images in a large cohort of MS patients.Unenhanced T1-weighted images of 232 MS patients who previously received multiple intravenous administrations of 0.1 mmol/kg of gadoterate-meglumine were reviewed. The change in T1 SI ratios of dentate nucleus/central pons (DN/CP) and globus pallidus/centrum semiovale (GP/CSO) was calculated between the first and last MRIs and correlated with age, number of injections, time interval between MRIs, disease duration, activity, and therapy.DN/CP ratio showed no significant changes whereas the GP/CSO ratio showed a significant decrease (p0.0001) between the first and last MRIs. Multivariable analyses of both ratios, controlling for age, disease duration, and time interval between MRIs, showed no significant correlation between the number of gadolinium injections and the differences in DN/CP (standardized beta = -0.018, p = 0.811) or GP/CSO SI ratios (standardized beta = -0.049, p = 0.499).Repeated administration of gadoterate-meglumine in MS patients did not result in increased T1 SI in the DN or the GP. The significant decrease of GP/CSO ratio between the first and last MRIs is not due to gadolinium accumulation but rather to varying MR parameters.
Published: 2019
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28. Cumulative administrations of gadolinium-based contrast agents: risks of accumulation and toxicity of linear vs macrocyclic agents

Author: Salem Hannoun, Lara Chehabeddine, Samia J. Khoury, Eman Saleh, Tala Al Saleh, and Marwa Baalbaki
Subjects: Adult, Gadolinium DTPA, Male, media_common.quotation_subject, Gadolinium, Contrast Media, Renal function, chemistry.chemical_element, macromolecular substances, 010501 environmental sciences, Pharmacology, Toxicology, 01 natural sciences, 03 medical and health sciences, Meglumine, Organometallic Compounds, Humans, Contrast (vision), Medicine, 030304 developmental biology, 0105 earth and related environmental sciences, media_common, 0303 health sciences, business.industry, Brain, Environmental Exposure, Magnetic Resonance Imaging, Globus pallidus, Dentate nucleus, Cerebellar Nuclei, chemistry, Toxicity, Female, business
Abstract: Ever since gadolinium was found to deposit in the brain of patients with normal kidney function by Kanda et al. in 2014, several studies have been conducted to evaluate its effect on the patients' health. However, conflicting results were obtained regarding imaging in gadolinium retention. These finding were attributed to the chelating structure of the administered gadolinium-based contrast agent (GBCA): linear agents were found to accumulate in the dentate nucleus (DN) and the globus pallidus (GP) of subjects even after one dose. There are some contradictory results when assessing macrocyclic agents. In the following article, we review the basis of GBCAs characteristics and their side effects, as well as, the MRI studies that assessed the accumulation of gadolinium in the brain. Based on the results of several studies, in 2017, the European Medicine Agency requested the suspension of the marketing authorizations for three linear GBCAs: gadodiamide (Omniscan®), gadoversetamide (Optimark®) and gadopentate dimeglimine (Magnevist®) and limited the use of gadoxetate disodium (Primovist/Eovist®) and gadobenate dimeglumine (MultiHance®) to hepatic uptake for imaging poorly vascularized hepatic lesions. Accordingly, the FDA did not restrict GBCA use, but will continue to study their safety and urged clinicians to use these agents sparingly. All macrocyclic GBCAs continued however to be used as no available valid evidence linked them to brain gadolinium retention. Regardless of possible accumulation in the brain, there is no evidence to-date that gadolinium retention leads to any disease or disorders in subjects with normal renal function. Further investigations with long-term follow-up are needed.
Published: 2019
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29. Brain structural connectivity correlates with fluid intelligence in children: A DTI graph analysis

Author: Ilaria Suprano, Salem Hannoun, Gabriel Kocevar, Fanny Nusbaum, Claudio Stamile, Dominique Sappey-Marinier, Pierre Fourneret, and O. Revol
Subjects: Power graph analysis, Intelligence quotient, Neural substrate, 05 social sciences, Neuropsychology, 050109 social psychology, Experimental and Cognitive Psychology, Graph theory, 050105 experimental psychology, White matter, medicine.anatomical_structure, Arts and Humanities (miscellaneous), Developmental and Educational Psychology, medicine, 0501 psychology and cognitive sciences, Psychology, Cognitive psychology, Tractography, Diffusion MRI
Abstract: Purpose The aim of this study is to better understand the neural substrate of intelligence in children, through the characterization of the brain's structural connectivity (graph measures), as well as the major white matter (WM) fibers microstructure. Materials and methods Fourty-three children (8 to 12 years) were include in this study. MRI acquisition included conventional and diffusion tensor imaging sequences. Children also underwent neuropsychological tests, providing the ten WISC-subtests. A factor analysis was performed to explore the inter-correlations of WISC-IV subtests and to extract intelligence domains as well as the general intelligence factor (g-score). Correlations between the intelligence domains and both graphs and diffusivity metrics were also explored. Results Global graph metrics revealed a strong relationship between high intelligence scores and brain network homogeneity (high density and low modularity), mainly in the temporal and parietal lobes. Furthermore, quantitative WM fiber-bundle analysis showed an increased axonal density in the major WM fiber-bundles that was associated to increased intelligence performances. Conclusion These findings demonstrated that intelligence neural substrate is based on a strong WM microstructure of the major intra- and inter- hemispheric fiber-bundles and a well-balanced network organization between local and global scales.
Published: 2019
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30. Aquaporin 4 distribution in the brain and its relevance for the radiological appearance of neuromyelitis optica spectrum disease

Author: Roxana Ameli, Charles R.G. Guttmann, Juan Carlos Prieto, Fabien Rollot, Miklos Palotai, Sandra Vukusic, Romain Marignier, François Cotton, René Anxionnat, Jean-Paul Armspach, Bertrand Audoin, Christian Barillot, Isabelle Berry, Fabrice Bonneville, Claire Boutet, Giovanni Castelnovo, Frédéric Cervenanski, Mikael Cohen, Olivier Commowick, Jerome De Seze, Vincent Dousset, Francoise Durand-Dubief, Gilles Edan, Jean-Christophe Ferre, Damien Galanaud, Tristan Glattard, Sylvie Grand, Justine Guillaumont, Rémy Guillevin, Salem Hannoun, Fabrice Heitz, Alexandre Krainik, Stéphane Kremer, Pierre Labauge, Nicolas Menjot De Champfleur, Jean-Philippe Ranjeva, Jean-Amédée Roch, Dominique Sappey-Marinier, Julien Savatovsky, Bruno Stankoff, Ayman Tourbah, Thomas Tourdias, Bruno Brochet, Michel Clanet, Nathalie Dufay, David Laplaud, Marie-Claire Maze, Thibault Moreau, Cédric Trolliet, Bernard Frangoulis, Javier Olaiz, Jean Pelletier, Bertrand Bourre, David Brassat, Philippe Cabre, Jean-Philippe Camdessanche, William Camu, Olivier Casez, Pierre Clavelou, Nicolas Collongues, Alain Creange, Gilles Defer, Marc Debouverie, Olivier Gout, Christine Lebrun-Frenay, Catherine Lubetzki, Caroline Papeix, Patrick Vermersch, Hélène Zephir, Service de Radiologie [Hôpital Femme Mère Enfant - HCL], Hôpital Femme Mère Enfant [CHU - HCL] (HFME), Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Department of Radiology [Boston], Brigham and Women's Hospital [Boston], Observatoire Français de la Sclérose En Plaques [Lyon] (OFSEP), Service de Neurologie [Lyon], CHU Lyon, Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Imagerie Adaptative Diagnostique et Interventionnelle (IADI), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - APHM] (CEMEREM), Hôpital de la Timone [CHU - APHM] (TIMONE)-Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Neuroimagerie: méthodes et applications (Empenn), Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE (IRISA-D5), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Service de Médecine Nucléaire - Pierre-Paul Riquet [CHU Toulouse], Pôle imagerie médicale [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Pôle Neurosciences [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Service de Radiologie [CHU Saint-Etienne], Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E)-Université Jean Monnet - Saint-Étienne (UJM), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de Neurologie [CHU Nice], Hôpital Pasteur [Nice] (CHU)-Centre Hospitalier Universitaire de Nice (CHU Nice), CHU Strasbourg, Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale (U1215 Inserm - UB), Université de Bordeaux (UB)-Institut François Magendie-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de neuroradiologie [Grenoble], CHU Grenoble, Centre hospitalier universitaire de Poitiers (CHU Poitiers), Département de neurologie [Montpellier], Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [CHU Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université de Montpellier (UM), Institut d’Imagerie Fonctionnelle Humaine [CHU Montpellier] (I2FH), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Hôpital privé Jean Mermoz [Lyon], CHU Rothschild [AP-HP], CHU Tenon [AP-HP], Université de Reims Champagne-Ardenne (URCA), Service de neurologie [Bordeaux], CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Neurologie Vasculaire [Toulouse], Service de neurochirurgie [CHU Nantes], Centre hospitalier universitaire de Nantes (CHU Nantes)-Hôpital Guillaume-et-René-Laennec [Saint-Herblain], Service de Neurologie générale, vasculaire et dégénérative (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Fondation Eugène Devic EDMUS, Hôpital Charles Nicolle [Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), Hôpital Albert Clarac [CHU de la Martinique], CHU de la Martinique [Fort de France], Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Institut de Biologie Computationnelle (IBC), Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département de neurologie, Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble, Service de Neurologie [CHU Clermont-Ferrand], CHU Gabriel Montpied [Clermont-Ferrand], CHU Clermont-Ferrand-CHU Clermont-Ferrand-CHU Estaing [Clermont-Ferrand], CHU Clermont-Ferrand, Hôpital de Hautepierre [Strasbourg], Département de neurosciences (CHU Henri Mondor), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor, Service de Neurologie [CHU Caen], Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN), Service de neurologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Département de neurologie [Lille], Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et nanosciences d'Alsace (FMNGE), Centre d'Exploration Métabolique par Résonance Magnétique [Hôpital de la Timone - AP-HM] (CEMEREM), Empenn, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Service de Médecine Nucléaire [Toulouse], CHU Toulouse [Toulouse], Pôle neurosciences [Hôpital de Purpan - Toulouse], Service de radiologie [Saint-Etienne], CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM), Service de Neuroradiologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [Montpellier]-Université de Montpellier (UM), Hôpital Rothschild [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse], Service de neurochirurgie [Nantes], Hôpital Nord (Saint Etienne), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], and Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)
Subjects: Male, Pathology, medicine.medical_specialty, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Myelitis, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, medicine, Humans, Radiology, Nuclear Medicine and imaging, Clinical significance, Retrospective Studies, Aquaporin 4, Neuromyelitis optica, Radiological and Ultrasound Technology, business.industry, Incidence (epidemiology), Neuromyelitis Optica, Brain, Human brain, Middle Aged, medicine.disease, Spinal cord, Magnetic Resonance Imaging, medicine.anatomical_structure, Cohort, Female, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract: International audience; Background and purposeTo determine the precise incidence of lesions at sites of high Aquaporin-4 expression (hAQP4) and their possible association with known neuromyelitis optica spectrum disease (NMOSD) lesions patterns.Materials and methodsA retrospective analysis of brain and, when available, spinal cord MRI scans of 54 NMOSD patients recruited among the French NMOSD cohort was performed. Brain lesions were annotated as MS-like, non-specific, or evocative of NMOSD. The topography of hAQP4 was reassessed by human brain atlas. The incidence of lesions in hAQP4 and their association with lesions evocative of NMOSD was estimated.ResultsAmong those included (41/54 female, mean age: 45 years) 47/54 (87%) presented brain lesions. Twenty-six/47 (55%) had lesions in hAQP4. Thirty-two/54 patients (60%) had lesions considered evocative of NMOSD. The majority of them also presented lesions in hAQP4 (65%, 21/32). Patients with lesions in hAQP4 and lesions evocative of NMOSD demonstrated more extensive myelitis compared to the other patients (7 [6–10] versus 4 [3–5] vertebral segments, P = 0.009).ConclusionThe coexistence of lesions evocative of NMOSD and in hAQP4 is associated with significantly more extensive myelitis, and might have pathophysiological and clinical significance.
Published: 2021
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31. White matter microarchitecture and structural network integrity correlate with children intelligence quotient

Author: Fanny Nusbaum, Ilaria Suprano, Dominique Sappey-Marinier, Pierre Fourneret, Gabriel Kocevar, Salem Hannoun, O. Revol, and Claudio Stamile
Subjects: Male, Neural substrate, Intelligence, lcsh:Medicine, Cognitive neuroscience, behavioral disciplines and activities, 050105 experimental psychology, Article, White matter, 03 medical and health sciences, 0302 clinical medicine, Human behaviour, medicine, Humans, 0501 psychology and cognitive sciences, lcsh:Science, Child, Wechsler Intelligence Scale for Children, Intelligence Tests, Network integrity, Multidisciplinary, Intelligence quotient, Working memory, 05 social sciences, lcsh:R, Wechsler Scales, White Matter, medicine.anatomical_structure, Diffusion Magnetic Resonance Imaging, Diffusion Tensor Imaging, Memory, Short-Term, lcsh:Q, Female, Psychology, Cognition Disorders, 030217 neurology & neurosurgery, Diffusion MRI, Cognitive psychology
Abstract: The neural substrate of high intelligence performances remains not well understood. Based on diffusion tensor imaging (DTI) which provides microstructural information of white matter fibers, we proposed in this work to investigate the relationship between structural brain connectivity and intelligence quotient (IQ) scores. Fifty-seven children (8–12 y.o.) underwent a MRI examination, including conventional T1-weighted and DTI sequences, and neuropsychological testing using the fourth edition of Wechsler Intelligence Scale for Children (WISC-IV), providing an estimation of the Full-Scale Intelligence Quotient (FSIQ) based on four subscales: verbal comprehension index (VCI), perceptual reasoning index (PRI), working memory index (WMI), and processing speed index (PSI). Correlations between the IQ scores and both graphs and diffusivity metrics were explored. First, we found significant correlations between the increased integrity of WM fiber-bundles and high intelligence scores. Second, the graph theory analysis showed that integration and segregation graph metrics were positively and negatively correlated with WISC-IV scores, respectively. These results were mainly driven by significant correlations between FSIQ, VCI, and PRI and graph metrics in the temporal and parietal lobes. In conclusion, these findings demonstrated that intelligence performances are related to the integrity of WM fiber-bundles as well as the density and homogeneity of WM brain networks.
Published: 2020

32. Signal Intensity Evaluation in the Dentate Nucleus and Subcortical Gray Matter : Effect of Several Administrations of Gadoterate Meglumine in Multiple Sclerosis

Author: Salem, Hannoun, Gabriel, Kocevar, Pekes, Codjia, Delphine, Maucort-Boulch, François, Cotton, Sandra, Vukusic, Françoise, Durand-Dubief, and Dominique, Sappey-Marinier
Subjects: Gadolinium DTPA, Meglumine, Multiple Sclerosis, Cerebellar Nuclei, Organometallic Compounds, Contrast Media, Humans, Gray Matter, Magnetic Resonance Imaging, Retrospective Studies
Abstract: Several studies reported gadolinium deposition in the dentate nuclei (DN) and the globus pallidus (GP) that was associated to linear GBCA administrations rather than macrocyclic. It is therefore imperative to evaluate and assess the safety of cumulative administration of gadoterate meglumine (macrocyclic). Thus, T1-weighted images (T1WI) of multiple sclerosis (MS) patients longitudinally followed for 4 years were retrospectively analyzed.In this study 44 patients, 10 with clinically isolated syndrome (CIS), 24 relapsing-remitting MS (RRMS) and 10 primary-progressive MS (PPMS) were examined every 6 months (first four scans) and then with a 1-year interval (last two scans). Image processing consisted in reorienting unenhanced T1WI to standard space, followed by B1 inhomogeneity correction. A patient-specific template was then generated to normalize T1WI signal intensity (SI) and segment the DN and subcortical GM structures. All structures were then transformed to each patient space in order to measure the SI in each region. The cerebellar peduncles (CP) and semi-oval (SO) white matter were then manually delineated and used as reference to calculate SI ratios in the DN and subcortical GM structures. A linear mixed-effect model was finally applied to longitudinally analyze SI variations.The SI measurements performed in all structures showed no significant increases with the cumulative GBCA administration.This study showed no significant SI increases within the DN and subcortical GM structures of longitudinally followed MS patients even with the cumulative administration of the macrocyclic GBCA gadoterate meglumine.
Published: 2020

33. New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions

Author: Jean-Christophe Brisset, Stephane Kremer, Salem Hannoun, Fabrice Bonneville, Francoise Durand-Dubief, Thomas Tourdias, Christian Barillot, Charles Guttmann, Sandra Vukusic, Vincent Dousset, Francois Cotton, R. Ameli, R. Anxionnat, B. Audoin, A. Attye, E. Bannier, C. Barillot, D. Ben Salem, M.-P. Boncoeur-Martel, G. Bonhomme, F. Bonneville, C. Boutet, J.C. Brisset, F. Cervenanski, B. Claise, O. Commowick, J.-M. Constans, F. Cotton, P. Dardel, H. Desal, V. Dousset, F. Durand-Dubief, J.-C. Ferre, A. Gaultier, E. Gerardin, T. Glattard, S. Grand, T. Grenier, R. Guillevin, C. Guttmann, A. Krainik, S. Kremer, S. Lion, N. Menjot De Champfleur, L. Mondot, O. Outteryck, N. Pyatigorskaya, J.-P. Pruvo, S. Rabaste, J.-P. Ranjeva, J.-A. Roch, J.-C. Sadik, D. Sappey-Marinier, J. Savatovsky, B. Stankoff, J.-Y. Tanguy, A. Tourbah, T. Tourdias, B. Brochet, R. Casey, J. De Sèze, P. Douek, F. Guillemin, D. Laplaud, C. Lebrun-Frenay, L. Mansuy, T. Moreau, J. Olaiz, J. Pelletier, C. Rigaud-Bully, S. Vukusic, M. Debouverie, G. Edan, J. Ciron, C. Lubetzki, P. Vermersch, P. Labauge, G. Defer, E. Berger, P. Clavelou, O. Gout, E. Thouvenot, O. Heinzlef, A. Al-Khedr, B. Bourre, O. Casez, P. Cabre, A. Montcuquet, A. Créange, J.-P. Camdessanché, S. Bakchine, A. Maurousset, I. Patry, T. De Broucker, C. Pottier, J.-P. Neau, C. Labeyrie, C. Nifle, Hôpital de Hautepierre [Strasbourg], Nehme and Therese Tohme Multiple Sclerosis Center [Beyrouth, Liban] (AUBMC), American University of Beirut Medical Center [Beyrouth, Liban] (AUBMC), American University of Beirut [Beyrouth] (AUB)-American University of Beirut [Beyrouth] (AUB), Neuroradiologie Diagnostique et Thérapeutique [Toulouse], Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse], Hôpital neurologique et neurochirurgical Pierre Wertheimer [CHU - HCL], Hospices Civils de Lyon (HCL), INSERM, Neurocentre Magendie, U1215, Physiopathologie de la Plasticité Neuronale, F-33000 Bordeaux, France, Empenn, Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE (IRISA-D5), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Center for Neurological Imaging, Departments of Radiology and Neurology, Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Observatoire Français de la Sclérose En Plaques [Lyon] (OFSEP), Service de neuroradiologie [Lyon], Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Département de neuroradiologie diagnostique et thérapeutique [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Neurologie, maladies neuro-musculaires [Hôpital de la Timone - APHM], Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), Service de neuroradiologie [Grenoble], CHU Grenoble, Laboratoire de Traitement de l'Information Medicale (LaTIM), Institut National de la Santé et de la Recherche Médicale (INSERM)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-Université de Brest (UBO)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Service de Radiologie et Imagerie Médicale [CHU Limoges], CHU Limoges, Auteur indépendant, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), CHU Clermont-Ferrand, CHU Amiens-Picardie, Centre hospitalier universitaire de Nantes (CHU Nantes), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Hôpital des Charpennes [CHU - HCL], Centre Hospitalier Universitaire [Grenoble] (CHU), Centre hospitalier universitaire de Poitiers (CHU Poitiers), CHU Montpellier, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Hôpital Pasteur [Nice] (CHU), Hôpital Roger Salengro [Lille], CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Aix Marseille Université (AMU), Fondation Ophtalmologique Adolphe de Rothschild [Paris], Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM), Hôpital Raymond Poincaré [AP-HP], CHU de Bordeaux Pellegrin [Bordeaux], Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques (BMNST), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Union pour la lutte contre la sclérose en plaques (UNISEP), Centre d'investigation clinique [Nancy] (CIC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Hôpital de la Timone [CHU - APHM] (TIMONE), Fondation Eugène Devic EDMUS, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital Gui de Chauliac, Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), CHU Gabriel Montpied [Clermont-Ferrand], Hôpital Universitaire Carémeau [Nîmes] (CHU Nîmes), Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), centre hospitalier intercommunal de Poissy/Saint-Germain-en-Laye - CHIPS [Poissy], Hôpital Charles Nicolle [Rouen], Hôpital Pierre Zobda-Quitman [CHU de la Martinique], CHU de la Martinique [Fort de France], Hôpital Dupuytren [CHU Limoges], Hôpital Henri Mondor, Centre Hospitalier Universitaire de Reims (CHU Reims), Hôpital Bretonneau, Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Centre Hospitalier Sud Francilien, CH Evry-Corbeil, Hôpital Delafontaine, Centre Hospitalier de Saint-Denis [Ile-de-France], Centre Hospitalier René Dubos [Pontoise], AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), Centre Hospitalier de Versailles André Mignot (CHV), French State, 'Investments for the Future', Eugène Devic EDMUS Foundation, ARSEP Foundation, Service Neuroradiologie Diagnostique et Thérapeutique [CHU Toulouse], Pôle imagerie médicale [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale (U1215 Inserm - UB), Université de Bordeaux (UB)-Institut François Magendie-Institut National de la Santé et de la Recherche Médicale (INSERM), Neuroimagerie: méthodes et applications (Empenn), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut Brestois Santé Agro Matière (IBSAM), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Hôpital Gui de Chauliac [CHU Montpellier], Centre hospitalier intercommunal de Poissy/Saint-Germain-en-Laye - CHIPS [Poissy], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM), CCSD, Accord Elsevier, and Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: medicine.medical_specialty, Consensus, Multiple Sclerosis, Gadolinium, chemistry.chemical_element, Contrast Media, Fluid-attenuated inversion recovery, 030218 nuclear medicine & medical imaging, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Atrophy, Quality of life, Medicine, Humans, Radiology, Nuclear Medicine and imaging, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Adverse effect, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Progressive multifocal leukoencephalopathy, Multiple sclerosis, Brain, Magnetic resonance imaging, medicine.disease, Image Enhancement, Magnetic Resonance Imaging, 3. Good health, chemistry, OFSEP, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Neurology (clinical), Radiology, business, 030217 neurology & neurosurgery
Abstract: Purpose New multiple sclerosis (MS) disease-modifying therapies (DMTs), which exert beneficial effects through prevention of relapse, limitation of disability progression, and improvement of patients’ quality of life, have recently emerged. Nonetheless, these DMTs are not without associated complications (severe adverse events like. progressive multifocal leukoencephalopathy). Patient follow-up requires regular clinical evaluations and close monitoring with magnetic resonance imaging (MRI). Detection of new T2 lesions and potential brain atrophy measurements contribute to the evaluation of treatment effectiveness. Current MRI protocols for MS recommend the acquisition of an annual gadolinium (Gd) enhanced MRI, resulting in administration of high volume of contrast agents over time and Gd accumulation in the brain. Methods A consensus report was established by neuroradiologists and neurologists from the French Observatory of MS, which aimed at reducing the number of Gd injections required during MS patient follow-up. Recommendations The French Observatory of MS recommends the use of macrocyclic Gd enhancement at time of diagnosis, when a new DMT is introduced, at 6-month re-baseline, and when previous scans are unavailable for comparison. Gd administration can be performed as an option in case of relapse or suspicion of intercurrent disease such as progressive multifocal leukoencephalopathy. Other follow-up MRIs do not require contrast enhancement, provided current and previous MRI acquisitions follow the same standardized protocol including 3D FLAIR sequences.
Published: 2020
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34. The Bayesian risk estimate at onset (BREMSO) correlates with cognitive and physical disability in patients with early multiple sclerosis

Author: Bassem Yamout, Marianne Said, Samia J. Khoury, Salem Hannoun, Ribal Haddad, Leslie Saba, Youmna Jalkh, and Nabil K. El Ayoubi
Subjects: Adult, Male, medicine.medical_specialty, Physical disability, Corpus callosum, Risk Assessment, Severity of Illness Index, 03 medical and health sciences, Multiple Sclerosis, Relapsing-Remitting, 0302 clinical medicine, Physical medicine and rehabilitation, Atrophy, Humans, Medicine, Cognitive Dysfunction, In patient, 030212 general & internal medicine, Secondary progressive, business.industry, Multiple sclerosis, Bayes Theorem, Cognition, General Medicine, Middle Aged, Bayesian risk, medicine.disease, Magnetic Resonance Imaging, Neurology, Exercise Test, Female, Neurology (clinical), business, 030217 neurology & neurosurgery, Follow-Up Studies
Abstract: Prevention of long-term disability is the goal of therapeutic intervention in Relapsing Remitting MS (RRMS). The Bayesian Risk Estimate for MS at Onset (BREMSO) gives an individual risk score predicting disease evolution into Secondary Progressive MS (SPMS). We investigated whether BREMSO correlates with physical disability, cognitive dysfunction, and regional brain atrophy early in MS.One hundred RRMS patients with at least two years of follow-up were enrolled. BREMSO score as well as Symbol Digit Modalities Test (SDMT) and Multiple Sclerosis Severity Score (MSSS), Timed 25-Foot Walk Test (T25-FW) and 9-Hole Peg Test (9-HPT), were assessed. Intracranial volume (ICV), subcortical gray matter structures and corpus callosum (CC) were automatically segmented on MRI images and their volumes measured.BREMSO score correlated negatively with SDMT at visit1 (β = -0.33, p = 0.019), visit2 (β = -0.34, p = 0.017) and visit3 (β = -0.34, p = 0.014), and positively with MSSS at visit1 (r = 0.38, p = 0.006), visit2 (r = 0.47, p 0.0001) and visit3 (r = 0.42, p = 0.002), but not with T25-FW and 9-HPT. BREMSO negatively correlated with CC volume at baseline (p 0.03). No correlations were found with ICV and subcortical gray matter.BREMSO score at onset correlated with physical disability (MSSS), cognitive function (SDMT) and CC volume measurements in patients with early MS.
Published: 2018
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35. Gadolinium effect on thalamus and whole brain tissue segmentation

Author: Salem Hannoun, Nabil K. El Ayoubi, Stephanie Saaybi, Samia J. Khoury, Roula Hourani, Ribal Haddad, Bassem Yamout, and Marwa Baalbaki
Subjects: Multiple Sclerosis, Gadolinium, Thalamus, Contrast Media, chemistry.chemical_element, 030218 nuclear medicine & medical imaging, White matter, 03 medical and health sciences, Lateral ventricles, 0302 clinical medicine, Image Interpretation, Computer-Assisted, Humans, Medicine, Radiology, Nuclear Medicine and imaging, Segmentation, Neuroradiology, business.industry, Brain, Gold standard (test), Magnetic Resonance Imaging, Subcortical gray matter, medicine.anatomical_structure, chemistry, Neurology (clinical), Cardiology and Cardiovascular Medicine, Nuclear medicine, business, Algorithms, 030217 neurology & neurosurgery
Abstract: Gadolinium-based contrast agent (GBCA) effect on automated segmentation algorithms of subcortical gray matter (GM) is not fully known. The aim of this study is to determine gadolinium effect on the segmentation of the thalamus and whole brain tissue using different automated segmentation techniques. Eighty-four multiple sclerosis (MS) patients underwent an MRI acquisition of two 3DT1-weighted sequences with and without gadolinium injection among which 10 were excluded after image quality check. Manual thalamic segmentation considered as gold standard was performed on unenhanced T1 images. volBrain and FSL-Anat were used to automatically segment the thalamus on both enhanced and unenhanced T1 and the degree of similitude (DICE) values were compared between manual and automatic segmentations. Whole brain tissue segmentation (GM, white matter (WM), and lateral ventricles (LV)) was also performed using SIENAX. A paired samples t test was applied to test the significance of DICE value differences between the thalamic manual and automatic segmentations of both enhanced and unenhanced T1 images. Significant differences (FSL-Anat 1.474% p
Published: 2018
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36. Weekly enhanced T1-weighted MRI with Gadobutrol injections in MS patients: Is there a signal intensity increase in the dentate nucleus and the globus pallidus?

Author: Jean-Christophe Brisset, Salem Hannoun, Paul Jaulent, Françoise Durand-Dubief, Fabien Rollot, Sandra Vukusic, François Cotton, Gabriel Kocevar, and Dominique Sappey-Marinier
Subjects: Adult, Male, Multiple Sclerosis, Gadolinium, Contrast Media, chemistry.chemical_element, Globus Pallidus, Injections, 030218 nuclear medicine & medical imaging, Gadobutrol, White matter, 03 medical and health sciences, 0302 clinical medicine, Organometallic Compounds, medicine, Middle cerebellar peduncle, Humans, Radiology, Nuclear Medicine and imaging, Retrospective Studies, Dose-Response Relationship, Drug, medicine.diagnostic_test, business.industry, Multiple sclerosis, Magnetic resonance imaging, General Medicine, Middle Aged, medicine.disease, Magnetic Resonance Imaging, medicine.anatomical_structure, Globus pallidus, Dentate nucleus, Cerebellar Nuclei, chemistry, Disease Progression, Female, business, Nuclear medicine, 030217 neurology & neurosurgery, medicine.drug
Abstract: Background and Purpose Gadolinium-based contrast agents (GBCAs) administration have drastically improved the accuracy of Multiple Sclerosis (MS) diagnosis by highlighting any damage to the brain blood barrier, thereby differentiating between active and non-active lesions. Following multiple administrations of GBCAs, several MS studies have reported a signal intensity (SI) increase on unenhanced T1-weighted images in certain brain regions such as the dentate nucleus (DN) and the globus pallidus (GP). Our aim was therefore to determine the accumulation of macrocyclic GBCAs on enhanced T1-weighted images SI in the DN and the GP of MS patients injected eight times. Materials and Methods Five MS patients underwent eight weekly consecutive MRI scans. Enhanced 3D T1-weighted images with Gadobutrol as a macrocyclic GBCA, were acquired. A ROI-based approach was applied for the evaluation of SI in the DN to middle cerebellar peduncle (DN-MCP) and GP to semi-oval white matter (GP-SOWM) ratios. An analysis of variance on repeated measures was used for the statistical analysis of each ratio. Results No DN-MCP and GP-SOWM SI ratio differences were observed over the eight-weeks period using the macrocyclic GBCA. Conclusion Iterative and weekly injections of macrocyclic GBCAs are not associated with T1 signal increase in the DN and GP of MS patients. These results would suggest a no gadolinium accumulation in the brain using macrocyclic GBCA even after several close injections and promote the use of a macrocylcic GBCA rather than linear agents for MS patients.
Published: 2018
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37. Verbal and musical short-term memory: Variety of auditory disorders after stroke

Author: Yohana Lévêque, Patrick Bouchet, Sébastien Daligault, Barbara Tillmann, Lesly Fornoni, Anne Caclin, Julien Jung, Norbert Nighoghossian, Salem Hannoun, Catherine Hirel, Centre de recherche en neurosciences de Lyon (CRNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Hospices Civils de Lyon (HCL), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Hospices Civils de Lyon, Departement de Neurologie (HCL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), and Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Subjects: Adult, Male, Melody, Cognitive Neuroscience, Short-term memory, Experimental and Cognitive Psychology, Neuropsychological Tests, Amusia, computer.software_genre, behavioral disciplines and activities, 050105 experimental psychology, Brain Ischemia, 03 medical and health sciences, 0302 clinical medicine, Arts and Humanities (miscellaneous), Voxel, Aphasia, Developmental and Educational Psychology, medicine, Humans, 0501 psychology and cognitive sciences, Neuropsychological assessment, Stroke, Aged, Aged, 80 and over, medicine.diagnostic_test, [SCCO.NEUR]Cognitive science/Neuroscience, 05 social sciences, Cognition, Middle Aged, medicine.disease, Memory, Short-Term, Neuropsychology and Physiological Psychology, Female, medicine.symptom, Psychology, computer, Music, 030217 neurology & neurosurgery, Cognitive psychology
Abstract: International audience; Auditory cognitive deficits after stroke may concern language and/or music processing, resulting in aphasia and/or amusia. The aim of the present study was to assess the potential deficits of auditory short-term memory for verbal and musical material after stroke and their underlying cerebral correlates with a Voxel-based Lesion Symptom Mapping approach (VLSM). Patients with an ischemic stroke in the right (N=10) or left (N=10) middle cerebral artery territory and matched control participants (N=14) were tested with a detailed neuropsychological assessment including global cognitive functions, music perception and language tasks. All participants then performed verbal and musical auditory short-term memory (STM) tasks that were implemented in the same way for both materials. Participants had to indicate whether series of four words or four tones presented in pairs, were the same or different. To detect domain-general STM deficits, they also had to perform a visual STM task. Behavioral results showed that patients had lower performance for the STM tasks in comparison with control participants, regardless of the material (words, tones, visual) and the lesion side. The individual patient data showed a double dissociation between some patients exhibiting verbal deficits without musical deficits or the reverse. Exploratory VLSM analyses suggested that dorsal pathways are involved in verbal (phonetic), musical (melodic), and visual STM, while the ventral auditory pathway is involved in musical STM.
Published: 2017
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38. 'No evidence of disease activity': Is it an aspirational therapeutic goal in multiple sclerosis?

Author: Salem Hannoun, Samia J. Khoury, Cynthia Eid, and El Najjar Mayssam
Subjects: medicine.medical_specialty, Multiple Sclerosis, Disease, Severity of Illness Index, Therapeutic goal, Disease activity, 03 medical and health sciences, 0302 clinical medicine, Atrophy, Outcome Assessment, Health Care, medicine, Humans, Immunologic Factors, 030212 general & internal medicine, Intensive care medicine, Predictive marker, business.industry, Surrogate endpoint, Multiple sclerosis, General Medicine, medicine.disease, Magnetic Resonance Imaging, Clinical trial, Neurology, Disease Progression, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract: 'No evidence of disease activity' (NEDA) that has been identified as a potential outcome measure for the evaluation of DMTs effects. The concept has been adopted from other diseases such as cancer where treatment is intended to free the patient from the disease. Disease-free status has been substituted by NEDA in MS, since we are limited when it comes to fully evaluating the underlying disease. In general, NEDA, otherwise termed as NEDA-3, is defined by the lack of disease activity based on the absence of clinical relapses, disability progression with the expanded disability status score (EDSS), and radiological activity. Recently, brain atrophy, a highly predictive marker of disability progression, has been added as a fourth component (NEDA-4). The use of this composite allowed a more comprehensive assessment of the disease activity. Indeed, it has an important role in clinical trials as a secondary outcome in addition to primary endpoints. However, the evidence is insufficient regarding the ability of NEDA to predict future disability and treatment response. Moreover, combining different composites does not eliminate the limitation of each, therefore the use of NEDA in clinical routine is still not implemented. The aim of this review is first to report from the literature the available definitions of NEDA and its different variants, and second, evaluate the importance of its use as a surrogate marker to assess the efficacy of different DMTs.
Published: 2019

39. Rapport T1/T2 : un marqueur sensible de l'intégrité tissulaire dans la SEP

Author: Kocevar, G., Salem Hannoun, Codjia, P., François Cotton, Camille Khoury, Françoise Durand-Dubief, Dominique Sappey-Marinier, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Hospices Civils de Lyon, Departement de Neurologie (HCL)
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2019

40. Brain structural connectivity correlates with fluid intelligence in children: A DTI graph analysis

Author: Kocevar, G., Ilaria Suprano, Claudio Stamile, Salem Hannoun, Pierre Fourneret, Olivier Revol, Fanny Nusbaum, Dominique Sappey-Marinier, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Nehme and Therese Tohme Multiple Sclerosis Center, Faculty of Medicine, American University of Beirut Medical Center, Beirut, Lebanon, Institut des Sciences Cognitives (ISC), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, Hospices Civils de Lyon (HCL), Parcours santé systémique (P2S), Université Claude Bernard Lyon 1 (UCBL), Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), and Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2019

41. Rebound syndrome after teriflunomide cessation in a patient with multiple sclerosis

Author: Maya Zeineddine, Joelle Massouh, Bassem Yamout, Samia J. Khoury, Marianne Said, and Salem Hannoun
Subjects: medicine.medical_specialty, Pathology, medicine.diagnostic_test, business.industry, Multiple sclerosis, Magnetic resonance imaging, medicine.disease, Discontinuation, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, nervous system, Neurology, chemistry, Relapsing remitting, Teriflunomide, medicine, Rituximab, 030212 general & internal medicine, Neurology (clinical), Radiology, business, 030217 neurology & neurosurgery, medicine.drug
Abstract: We report a case of relapsing remitting multiple sclerosis (RRMS) with severe rebound syndrome 12weeks following discontinuation of teriflunomide therapy. The patient developed severe clinical relapses with significant increase in the number of brain and spine magnetic resonance imaging (MRI) lesions. She responded well to intravenous and oral steroids and was later maintained on rituximab.
Published: 2017
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42. 'No Evidence of Disease Activity': Is it An Aspirational Therapeutic Goal in MS?

Author: Samia J. Khoury, Cynthia Eid, Mayssam El Najjar, and Salem Hannoun
Subjects: Disease activity, medicine.medical_specialty, Neurology, business.industry, Multiple sclerosis, medicine, Neurology (clinical), General Medicine, medicine.disease, Intensive care medicine, business, Therapeutic goal
Published: 2020
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43. Automatic Thalamus Segmentation on Unenhanced 3D T1 Weighted Images: Comparison of Publicly Available Segmentation Methods in a Pediatric Population

Author: Salem Hannoun, Roula Hourani, Maria El Homsi, Stephanie Saaybi, and Rayyan Tutunji
Subjects: Male, Adolescent, Computer science, Automated segmentation, Dice, Neuroimaging, 050105 experimental psychology, 03 medical and health sciences, 0302 clinical medicine, Imaging, Three-Dimensional, Thalamus, T1 weighted, Image Processing, Computer-Assisted, Humans, 0501 psychology and cognitive sciences, Segmentation, Child, business.industry, General Neuroscience, 05 social sciences, Contrast (statistics), Infant, Pattern recognition, Magnetic Resonance Imaging, Similitude, Child, Preschool, Manual segmentation, Female, Artificial intelligence, business, 030217 neurology & neurosurgery, Software, Algorithms, Information Systems, Pediatric population
Abstract: The anatomical structure of the thalamus renders its segmentation on 3DT1 images harder due to its low tissue contrast, and not well-defined boundaries. We aimed to investigate the differences in the precision of publicly available segmentation techniques on 3DT1 images acquired at 1.5 T and 3 T machines compared to the thalamic manual segmentation in a pediatric population. Sixty-eight subjects were recruited between the ages of one and 18 years. Manual segmentation of the thalamus was done by three junior raters, and then corrected by an experienced rater. Automated segmentation was then performed with FSL Anat, FIRST, FreeSurfer, MRICloud, and volBrain. A mask of the intersections between the manual and automated segmentation was created for each algorithm to measure the degree of similitude (DICE) with the manual segmentation. The DICE score was shown to be highest using volBrain in all subjects (0.873 ± 0.036), as well as in the 1.5 T (0.871 ± 0.037), and the 3 T (0.875 ± 0.036) groups. FSL-Anat and FIRST came in second and third. MRICloud was shown to have the lowest DICE values. When comparing 1.5 T to 3 T groups, no significant differences were observed in all segmentation methods, except for FIRST (p = 0.038). Age was not a significant predictor of DICE in any of the measurements. When using automated segmentation, the best option in both field strengths would be the use of volBrain. This will achieve results closest to the manual segmentation while reducing the amount of time and computing power needed by researchers.
Published: 2018

44. Evidence of axonal damage in cerebellar peduncles without T2-lesions in multiple sclerosis

Author: Salem Hannoun, Kocevar, G., Durand-Dubief, F., Stamile, C., Naji, A., Cotton, F., Cavallari, M., Guttmann, C. R. G., Sappey-Marinier, D., RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), American University of Beirut [Beyrouth] (AUB), Service de Neurologie à l'Hôpital neurologique de Lyon, Hôpital neurologique et neurochirurgical Pierre Wertheimer [CHU - HCL], Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Département de Neuroradiologie [Centre Hospitalier Lyon Sud - HCL], Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Center for Neurological Imaging, Departments of Radiology and Neurology, Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)
Subjects: [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2018

45. A new MRI marker of ataxia with oculomotor apraxia

Author: Solène, Ronsin, Salem, Hannoun, Stéphane, Thobois, Philippe, Petiot, Alain, Vighetto, François, Cotton, and Caroline, Tilikete
Subjects: Adult, Male, Cross-Sectional Studies, Apraxias, Brain, Cogan Syndrome, Humans, Spinocerebellar Ataxias, Female, Prospective Studies, Middle Aged, Magnetic Resonance Imaging, Sensitivity and Specificity
Abstract: Evaluate the specificity and sensitivity of disappearance of susceptibility weighted imaging (SWI) dentate nuclei (DN) hypointensity in oculomotor apraxia patients (AOA).In this prospective study, 27 patients with autosomal genetic ataxia (AOA (n = 11), Friedreich ataxia and ataxia with vitamin E deficit (n = 4), and dominant genetic ataxia (n = 12)) were included along with fifteen healthy controls. MRIs were qualitatively classified for the presence or absence of DN hypointensity on FLAIR and SWI sequences. The MRIs were then quantitatively studied, with measurement of a ratio of DN over brainstem white matter signal intensity through manual delineation. The institutional review board approved this study, and written informed consent was obtained. In the cross-sectional analysis, the Mann-Whitney test was applied.Qualitatively, the eleven AOA patients presented absence of both DN SWI and FLAIR hyposignals; three dominant genetic ataxia patients had moderate SWI DN hyposignal and absent FLAIR hyposignal; the thirteen remaining subjects presented normal SWI and FLAIR DN hyposignal. Absence of DN SWI hypointensity was 100% sensitive and specific to AOA. Quantitative signal intensity ratio (mean ± standard deviation) of the AOA group (98·96 ± 5·37%) was significantly higher than in control subjects group (76.40 ± 8.34%; p 0.001), dominant genetic ataxia group (81·15 ± 9·94%; p 0·001), and Friedreich ataxia and ataxia with vitamin E deficit group (87·56 ± 2·78%; p 0·02).This small study shows that loss of the normal hypointensity in the dentate nucleus on both SWI and FLAIR imaging at 3 T is a highly sensitive and specific biomarker for AOA.
Published: 2018

46. Main inherited neurodegenerative cerebellar ataxias, how to recognize them using magnetic resonance imaging?

Author: Caroline Tilikete, François Cotton, Salem Hannoun, S. Ronsin, D. Heidelberg, Fabrice Bonneville, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Département de Neuroradiologie [Centre Hospitalier Lyon Sud - HCL], Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), and Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL)
Subjects: Ataxia, Cerebellar Ataxia, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Neurogenetics, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Atrophy, medicine, Humans, Radiology, Nuclear Medicine and imaging, ComputingMilieux_MISCELLANEOUS, Spinocerebellar tract, Radiological and Ultrasound Technology, medicine.diagnostic_test, Genetic heterogeneity, business.industry, Magnetic resonance imaging, medicine.disease, Magnetic Resonance Imaging, Hyperintensity, medicine.anatomical_structure, Phenotype, Neurology (clinical), Brainstem, medicine.symptom, business, Neuroscience, 030217 neurology & neurosurgery
Abstract: Ataxia is a neurodegenerative disease resulting from brainstem, cerebellar, and/or spinocerebellar tracts impairments. Symptoms onset could vary widely from childhood to late-adulthood. Autosomal cerebellar ataxias are considered as one of the most complex group in neurogenetics. In addition to their genetic heterogeneity, there is an important phenotypic variability in the expression of cerebellar impairment, complicating the genetic mutation research. A pattern recognition approach using brain MRI measures of atrophy, hyperintensities and iron-induced hypointensity of the dentate nuclei, could be therefore helpful in guiding genetic research. This review will discuss a pattern recognition approach that, associated with the age at disease onset, and clinical manifestations, may help neuroradiologists differentiate the most frequent profiles of ataxia.
Published: 2018

47. Weekly follow up of acute lesions in three early multiple sclerosis patients using MR spectroscopy and diffusion

Author: Salem Hannoun, Françoise Durand-Dubief, Gabriel Kocevar, Claudio Stamile, François Cotton, Jean-Amédée Roch, Dominique Sappey-Marinier, Sandra Vukusic, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Neurologie [Lyon], CHU Lyon, Département de Neuroradiologie [Centre Hospitalier Lyon Sud - HCL], Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)
Subjects: Adult, In vivo magnetic resonance spectroscopy, Pathology, medicine.medical_specialty, Magnetic Resonance Spectroscopy, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Contrast Media, Signal-To-Noise Ratio, 030218 nuclear medicine & medical imaging, Lesion, 03 medical and health sciences, Multiple Sclerosis, Relapsing-Remitting, 0302 clinical medicine, Fractional anisotropy, Image Processing, Computer-Assisted, Organometallic Compounds, medicine, [INFO.INFO-IM]Computer Science [cs]/Medical Imaging, Humans, Radiology, Nuclear Medicine and imaging, Remyelination, ComputingMilieux_MISCELLANEOUS, Brain Chemistry, Radiological and Ultrasound Technology, medicine.diagnostic_test, business.industry, Multiple sclerosis, Magnetic resonance imaging, medicine.disease, Hyperintensity, 3. Good health, Diffusion Tensor Imaging, medicine.anatomical_structure, Anisotropy, Female, Neurology (clinical), medicine.symptom, Nuclear medicine, business, 030217 neurology & neurosurgery, Diffusion MRI
Abstract: Object Pathophysiological mechanisms underlying multiple sclerosis (MS) lesion formation, including inflammation, demyelination/remyelination and axonal damage, and their temporal evolution are still not clearly understood. To this end, three acute white matter lesions were monitored using a weekly multimodal magnetic resonance (MR) protocol. Materials and methods Three untreated patients with early relapsing-remitting MS and one healthy control subject were followed weekly for two months. MR protocol included conventional MR imaging (MRI), diffusion tensor imaging (DTI), and localized MR spectroscopy (MRS), performed on the largest gadolinium-enhancing lesion, selected at the first exam. Results Mean diffusivity increased and fractional anisotropy decreased in lesions compared to healthy control. Cho/Cr ratios remained elevated in lesions throughout the follow-up. In contrast, temporal profiles of mI/Cr ratios varied between patients’ lesions. For patient 1, mI/Cr ratios were already elevated at the beginning of the follow-up. Patients 2 and 3 ratios increase was delayed by two and five weeks. Blood-brain barrier (BBB) recovery occurred after three weeks. Conclusion This multimodal MR follow-up highlighted the complementary role of DTI and MRS in identifying temporal relationships between BBB disruption, inflammation, and demyelination. Diffusion metrics showed high sensitivity to detect inflammatory processes. The different temporal profiles of mI suggested a potential better specificity to monitor pathological mechanisms occurring after lesion formation, such as glial proliferation and remyelination.
Published: 2018
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48. Multiple sclerosis lesion formation and early evolution revisited: A weekly high-resolution magnetic resonance imaging study

Author: François Cotton, Jean-Amédée Roch, Boubakeur Belaroussi, Sandra Vukusic, Dominique Sappey-Marinier, Charles R.G. Guttmann, Françoise Durand-Dubief, Michele Cavallari, Matthieu Rousset, Muriel Rabilloud, Salem Hannoun, Center for Neurological Imaging, Department of Radiology, Brigham and Women's Hospital [Boston], Service de Radiologie [Hôpital de la Croix-Rousse - HCL], Hôpital de la Croix-Rousse [CHU - HCL], Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Nehme and Therese Tohme Multiple Sclerosis Center, Faculty of Medicine, American University of Beirut Medical Center, Beirut, Lebanon, Service de Neurologie [Lyon], CHU Lyon, Bioclinica SAS (B SAS), Bioclinica SAS, Biostatistiques santé, Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Département de Neuroradiologie [Centre Hospitalier Lyon Sud - HCL], Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)
Subjects: Adult, Male, 0301 basic medicine, medicine.medical_specialty, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, High resolution, relapsing–remitting, Lesion formation, Inversion recovery, Fluid-attenuated inversion recovery, multiple sclerosis, Lesion, 03 medical and health sciences, Multiple Sclerosis, Relapsing-Remitting, Magnetic resonance imaging, 0302 clinical medicine, T2 lesions, medicine, Humans, Longitudinal Studies, Multiple sclerosis lesion, medicine.diagnostic_test, business.industry, Multiple sclerosis, Middle Aged, medicine.disease, 030104 developmental biology, Neurology, Disease Progression, Female, Neurology (clinical), Radiology, medicine.symptom, business, 030217 neurology & neurosurgery
Abstract: Background: Several magnetic resonance imaging (MRI) studies investigated the evolution of multiple sclerosis (MS) lesions to understand the pathophysiological mechanisms leading to blood-brain barrier breakdown and lesion formation. Only a few assessed the early natural history of MS lesions using short-interval longitudinal MRI. Objective: The purpose of this study was to characterize MS lesion occurrence and early evolution on high-resolution MRI acquired at weekly intervals. Methods: Active lesions were characterized on 3D fluid attenuation inversion recovery (FLAIR) and gadolinium-enhanced 3D T1-weighted MRI performed weekly (seven weeks) on five untreated patients with relapsing–remitting MS (RRMS). Results: Active lesions ( n=212) were detected in all patients. All showed contrast-enhancement on at least one time-point. Most new lesions (83.5%) were visible on FLAIR and post-contrast T1-weighted images at first detection; 11.2% showed activity on FLAIR images, one or more weeks before the appearance of contrast-enhancement; 12.5% enhanced before being apparent on FLAIR. Conclusion: Blood brain barrier disruption is a constant step in the natural history of active MS lesions, but does not always constitute the initial event. These findings are consistent with the existence of a subpopulation of lesions with an ‘inside-out’ genesis, where neurodegenerative processes might precede microglial activation, and a subsequent adaptive immune response.
Published: 2015
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49. Impact of Brain Atrophy on Early Neurological Deterioration and Outcome in Severe Ischemic Stroke Treated by Intravenous Thrombolysis

Author: Salem Hannoun, Norbert Nighoghossian, Adeline Mansuy, Nathan Mewton, Gabriela Moreno Legast, Magali Bischoff, Yves Berthezène, Audrey de Parisot, Laurent Derex, Dominique Sappey-Marinier, Marielle Buisson, Carlos El Khoury, Olivier Tschirret, Leila Chamard, Laura Mechtouff, aucun, Syndicat mixte des bassins hydrauliques de l'Isère, Centre d'Etude et de Recherche Multimodal Et Pluridisciplinaire en imagerie du vivant (CERMEP - imagerie du vivant), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-CHU Grenoble-Hospices Civils de Lyon (HCL)-CHU Saint-Etienne-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE), Stroke Department, Neurological Hospital, Hospices Civils de Lyon (HCL), and Neuroradiology Department, Neurological Hospital
Subjects: Male, medicine.medical_specialty, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, medicine.medical_treatment, Infarction, 030204 cardiovascular system & hematology, Brain Ischemia, Brain ischemia, 03 medical and health sciences, 0302 clinical medicine, Atrophy, Modified Rankin Scale, Internal medicine, medicine, Humans, Thrombolytic Therapy, Prospective Studies, Prospective cohort study, Stroke, Aged, Aged, 80 and over, Univariate analysis, business.industry, Brain, Thrombolysis, Recovery of Function, Middle Aged, medicine.disease, Magnetic Resonance Imaging, 3. Good health, Treatment Outcome, Neurology, Cardiology, Administration, Intravenous, Female, Neurology (clinical), business, 030217 neurology & neurosurgery
Abstract: Background: Brain atrophy has shown a protective effect on the risk of early neurological deterioration (END) related to malignant edema in patients with hemispheric infarction but could be deleterious on the outcome. Aims: We aimed to assess whether brain atrophy has an impact on the risk of END and on the outcome in severe ischemic strokes after intravenous (IV) thrombolysis. Methods: From a prospective thrombolysis registry, 137 patients who had a National Institutes of Health Stroke Scale (NIHSS) ≥15, MRI at admission, and IV thrombolysis were included. Relative cerebral volume was calculated. END was defined as a ≥2-points deterioration 72-h NIHSS and a good outcome as a modified Rankin Scale (mRS) ≤2 at 3 months. A multiple logistic regression analysis with a stepwise backward procedure was performed. Results: END and a good outcome were observed, respectively, in 20 (14.6%) and 48 (37.5%) patients. In univariate analysis, predictors of END included age (p = 0.049), diabetes (p = 0.041), and parenchymal hemorrhage (p = 0.039). In multivariate analysis, age (p = 0.018) was significantly associated with END. Brain atrophy was not associated with END even in subgroup analysis according to the baseline infarct size. In univariate analysis, age (p = 0.003), prestroke mRS (p = 0.002), hypertension (p = 0.006), baseline NIHSS (p = 0.002), END (p = 0.002), proximal occlusion (p = 0.006), and recanalization at 24 h (p < 0.001) were associated with a good outcome. Only baseline NIHSS (p = 0.006) was associated with a good outcome after adjustment. Conclusions: We did not find any impact of brain atrophy on the risk of END and the outcome at 3 months in severe ischemic strokes after IV thrombolysis.
Published: 2017

50. Diagnostic value of 3DFLAIR in clinical practice for the detection of infratentorial lesions in multiple sclerosis in regard to dual echo T2 sequences

Author: Fabrice Bonneville, François Cotton, Salem Hannoun, Charles R.G. Guttmann, Damien Heidelberg, Jean-Christophe Brisset, Vincent Dousset, Roula Hourani, Stéphane Kremer, Thi Thuy Trang Nguyen, Sylvie Grand, RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Observatoire Français de la Sclérose En Plaques [Lyon] (OFSEP), American University of Beirut Medical Center, Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL), Service d'Imagerie par Résonance Magnétique (IRM), CHU Grenoble, Service de radiologie [Strasbourg], CHU Strasbourg-Hôpital de Hautepierre [Strasbourg], Laboratoire des sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Université de Strasbourg (UNISTRA)-Institut National des Sciences Appliquées - Strasbourg (INSA Strasbourg), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et nanosciences d'Alsace (FMNGE), Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg (UNISTRA), Service de neuroradiologie, CHU Toulouse [Toulouse], Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées, Center for Neurological Imaging, Departments of Radiology and Neurology, Neuroinflammation: imagerie et thérapie de la sclérose en plaques, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Bordeaux (UB), Physiopathologie du système nerveux central - Institut François Magendie, Université Bordeaux Segalen - Bordeaux 2-IFR8-Institut National de la Santé et de la Recherche Médicale (INSERM), Département de Neuroradiologie [Centre Hospitalier Lyon Sud - HCL], Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), ANR-10-COHO-0002,OFSEP,Observatoire Français de la Sclérose en Plaques(2010), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Les Hôpitaux Universitaires de Strasbourg (HUS)-Centre National de la Recherche Scientifique (CNRS)-Matériaux et Nanosciences Grand-Est (MNGE), Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS)-Réseau nanophotonique et optique, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Pôle Cardiovasculaire et Métabolique [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), and Université de Toulouse (UT)
Subjects: 2DT2/PD, Adult, Male, medicine.medical_specialty, Multiple Sclerosis, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, education, Posterior fossa, Lesion detection, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Imaging, Three-Dimensional, Radiologists, medicine, Humans, Radiology, Nuclear Medicine and imaging, Prospective cohort study, 3DFLAIR, Neuroradiology, Observer Variation, Brain Diseases, Infratentorial region, business.industry, Multiple sclerosis, General Medicine, medicine.disease, Magnetic Resonance Imaging, Clinical Practice, Dual echo, Female, Radiology, Clinical Competence, business, Epidemiologic Methods, 030217 neurology & neurosurgery
Abstract: Background and purpose The aim of this prospective study is to investigate and evaluate in clinical practice the diagnostic impact of 3DFLAIR in regards to 2DT2/PD in terms of infratentorial lesions detection in multiple sclerosis (MS). Material and methods 164 MS patients from the OFSEP database were reviewed retrospectively. MR examinations were performed on 1.5T or 3T systems from four different centers. Infratentorial lesions were counted and allocated to different regions of the posterior fossa by three raters independently (junior resident, resident with an expertise in neuroradiology, and senior neuro-radiologist) on the 3DFLAIR and 2DT2/PD. Both sequences do not have the same spatial resolution but reflect what is recommended by most of the consensus and done in clinical practice. Results With an overall number of 528 for Rater-1 and 798 for Rater-2 infratentorial lesions, 3DFLAIR had a significantly higher number of lesions detected than 2DT2/PD (303 for Rater-1 and 370 for Rater-2). The prevalence of trigeminal lesions detected by using 3DFLAIR was also significantly higher than 2DT2/PD. ROC analysis showed 3DFLAIR to be more specific and sensitive than 2DT2/PD. An overall difference between all three Raters has been observed. The more the Rater is experienced the more lesions he detects. Conclusion Along with the radiologist ability to detect lesions based on his level of experience, the OFSEP optimized 3DFLAIR can significantly improve infratentorial lesion detection in MS compared to 2DT2/PD. This is important in MS follow-up that takes into account new lesions number to adapt patients’ treatment.
Published: 2017
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