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1. Isolated parkinsonism is an atypical presentation of GRN and C9orf72 gene mutations

Author

Carneiro, Fábio, Saracino, Dario, Huin, Vincent, Clot, Fabienne, Delorme, Cécile, Méneret, Aurélie, Thobois, Stéphane, Cormier, Florence, Corvol, Jean Christophe, Lenglet, Timothée, Vidailhet, Marie, Habert, Marie-Odile, Gabelle, Audrey, Beaufils, Émilie, Mondon, Karl, Tir, Mélissa, Andriuta, Daniela, Brice, Alexis, Deramecourt, Vincent, and Ber, Isabelle Le

Subjects
Quantitative Biology - Neurons and Cognition
Abstract

Introduction: A phenotype of isolated parkinsonism mimicking Idiopathic Parkinson's Disease (IPD) is a rare clinical presentation of GRN and C9orf72 mutations, the major genetic causes of frontotemporal dementia (FTD). It still remains controversial if this association is fortuitous or not, and which clinical clues could reliably suggest a genetic FTD etiology in IPD patients. This study aims to describe the clinical characteristics of FTD mutation carriers presenting with IPD phenotype, provide neuropathological evidence of the mutation's causality, and specifically address their "red flags" according to current IPD criteria. Methods: Seven GRN and C9orf72 carriers with isolated parkinsonism at onset, and three patients from the literature were included in this study. To allow better delineation of their phenotype, the presence of supportive, exclusion and "red flag" features from MDS criteria were analyzed for each case. Results: Amongst the ten patients (5 GRN, 5 C9orf72), seven fulfilled probable IPD criteria during all the disease course, while behavioral/language or motoneuron dysfunctions occurred later in three. Disease duration was longer and dopa-responsiveness was more sustained in C9orf72 than in GRN carriers. Subtle motor features, cognitive/behavioral changes, family history of dementia/ALS were suggestive clues for a genetic diagnosis. Importantly, neuropathological examination in one patient revealed typical TDP-43-inclusions without alpha-synucleinopathy, thus demonstrating the causal link between FTD mutations, TDP-43-pathology and PD phenotype. Conclusion: We showed that, altogether, family history of early-onset dementia/ALS, the presence of cognitive/behavioral dysfunction and subtle motor characteristics are atypical features frequently present in the parkinsonian presentations of GRN and C9orf72 mutations .

Published
2022
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2. Cerebral Metabolic Signature of Chronic Benzodiazepine Use in Nondemented Older Adults: An FDG-PET Study in the MEMENTO Cohort

Author

Gallet, Quentin, Bouteloup, Vincent, Locatelli, Maxime, Habert, Marie-Odile, Chupin, Marie, Campion, Jacques-Yves, Michels, Pierre-Emmanuel, Delrieu, Julien, Lebouvier, Thibaud, Balageas, Anna-Chloé, Surget, Alexandre, Belzung, Catherine, Arlicot, Nicolas, Ribeiro, Maria-Joao Santiago, Gissot, Valérie, El-Hage, Wissam, Camus, Vincent, Gohier, Bénédicte, and Desmidt, Thomas

Published
2024
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3. The association between posterior resting-state EEG alpha rhythms and functional MRI connectivity in older adults with subjective memory complaint

Author

Lopez, Susanna, Hampel, Harald, Chiesa, Patrizia Andrea, Del Percio, Claudio, Noce, Giuseppe, Lizio, Roberta, Teipel, Stefan J., Dyrba, Martin, González-Escamilla, Gabriel, Bakardjian, Hovagim, Cavedo, Enrica, Lista, Simone, Vergallo, Andrea, Lemercier, Pablo, Spinelli, Giuseppe, Grothe, Michel J., Potier, Marie-Claude, Stocchi, Fabrizio, Ferri, Raffaele, Habert, Marie-Odile, Dubois, Bruno, and Babiloni, Claudio

Published
2024
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4. Clinica: an open source software platform for reproducible clinical neuroscience studies

Author

Routier, Alexandre, Burgos, Ninon, Díaz, Mauricio, Bacci, Michael, Bottani, Simona, El-Rifai, Omar, Fontanella, Sabrina, Gori, Pietro, Guillon, Jérémy, Guyot, Alexis, Hassanaly, Ravi, Jacquemont, Thomas, Lu, Pascal, Marcoux, Arnaud, Moreau, Tristan, Samper-González, Jorge, Teichmann, Marc, Thibeau--Sutre, Elina, Vaillant, Ghislain, Wen, Junhao, Wild, Adam, Habert, Marie-Odile, Durrleman, Stanley, and Colliot, Olivier

Subjects
Quantitative Biology - Quantitative Methods
Abstract

We present Clinica (www.clinica.run), an open-source software platform designed to make clinical neuroscience studies easier and more reproducible. Clinica aims for researchers to i) spend less time on data management and processing, ii) perform reproducible evaluations of their methods, and iii) easily share data and results within their institution and with external collaborators. The core of Clinica is a set of automatic pipelines for processing and analysis of multimodal neuroimaging data (currently, T1-weighted MRI, diffusion MRI and PET data), as well as tools for statistics, machine learning and deep learning. It relies on the brain imaging data structure (BIDS) for the organization of raw neuroimaging datasets and on established tools written by the community to build its pipelines. It also provides converters of public neuroimaging datasets to BIDS (currently ADNI, AIBL, OASIS and NIFD). Processed data include image-valued scalar fields (e.g. tissue probability maps), meshes, surface-based scalar fields (e.g. cortical thickness maps) or scalar outputs (e.g. regional averages). These data follow the ClinicA Processed Structure (CAPS) format which shares the same philosophy as BIDS. Consistent organization of raw and processed neuroimaging files facilitates the execution of single pipelines and of sequences of pipelines, as well as the integration of processed data into statistics or machine learning frameworks. The target audience of Clinica is neuroscientists or clinicians conducting clinical neuroscience studies involving multimodal imaging, and researchers developing advanced machine learning algorithms applied to neuroimaging data.

Published
2021

5. Clinical diagnosis of Alzheimer's disease: recommendations of the International Working Group

Author

Dubois, Bruno, Villain, Nicolas, Frisoni, Giovanni B, Rabinovici, Gil D, Sabbagh, Marwan, Cappa, Stefano, Bejanin, Alexandre, Bombois, Stéphanie, Epelbaum, Stéphane, Teichmann, Marc, Habert, Marie-Odile, Nordberg, Agneta, Blennow, Kaj, Galasko, Douglas, Stern, Yaakov, Rowe, Christopher C, Salloway, Stephen, Schneider, Lon S, Cummings, Jeffrey L, and Feldman, Howard H

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Dementia, Acquired Cognitive Impairment, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Alzheimer's Disease, Aging, Brain Disorders, Neurodegenerative, Clinical Research, Prevention, 4.1 Discovery and preclinical testing of markers and technologies, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Neurological, Good Health and Well Being, Alzheimer Disease, Amyloid beta-Peptides, Biomarkers, Cognitive Dysfunction, Disease Progression, Humans, Phenotype, tau Proteins, Neurology & Neurosurgery, Clinical sciences
Abstract

In 2018, the US National Institute on Aging and the Alzheimer's Association proposed a purely biological definition of Alzheimer's disease that relies on biomarkers. Although the intended use of this framework was for research purposes, it has engendered debate and challenges regarding its use in everyday clinical practice. For instance, cognitively unimpaired individuals can have biomarker evidence of both amyloid β and tau pathology but will often not develop clinical manifestations in their lifetime. Furthermore, a positive Alzheimer's disease pattern of biomarkers can be observed in other brain diseases in which Alzheimer's disease pathology is present as a comorbidity. In this Personal View, the International Working Group presents what we consider to be the current limitations of biomarkers in the diagnosis of Alzheimer's disease and, on the basis of this evidence, we propose recommendations for how biomarkers should and should not be used for diagnosing Alzheimer's disease in a clinical setting. We recommend that Alzheimer's disease diagnosis be restricted to people who have positive biomarkers together with specific Alzheimer's disease phenotypes, whereas biomarker-positive cognitively unimpaired individuals should be considered only at-risk for progression to Alzheimer's disease.

Published
2021

6. MiRNA-15b and miRNA-125b are associated with regional Aβ-PET and FDG-PET uptake in cognitively normal individuals with subjective memory complaints.

Author

Vergallo, Andrea, Lista, Simone, Zhao, Yuhai, Lemercier, Pablo, Teipel, Stefan J, Potier, Marie-Claude, Habert, Marie-Odile, Dubois, Bruno, Lukiw, Walter J, Hampel, Harald, INSIGHT-preAD study group, and Alzheimer Precision Medicine Initiative (APMI)

Subjects
INSIGHT-preAD study group, Alzheimer Precision Medicine Initiative, Clinical Sciences, Public Health and Health Services, Psychology
Abstract

There is substantial experimental evidence for dysregulation of several microRNA (miRNA) expression levels in Alzheimer's disease (AD). MiRNAs modulate critical brain intracellular signaling pathways and are associated with AD core pathophysiological mechanisms. First, we conducted a real-time quantitative PCR-based pilot study to identify a set of brain-enriched miRNAs in a monocentric cohort of cognitively normal individuals with subjective memory complaints, a condition associated with increased risk of AD. Second, we investigated the impact of age, sex, and the Apolipoprotein E ε4 (APOE ε4) allele, on the identified miRNA plasma concentrations. In addition, we explored the cross-sectional and longitudinal association of the miRNAs plasma concentrations with regional brain metabolic uptake using amyloid-β (Aβ)-positron emission tomography (Aβ-PET) and 18F-fluorodeoxyglucose-PET (18F-FDG-PET). We identified a set of six brain-enriched miRNAs-miRNA-125b, miRNA-146a, miRNA-15b, miRNA-148a, miRNA-26b, and miRNA-100. Age, sex, and APOE ε4 allele were not associated with individual miRNA abundance. MiRNA-15b concentrations were significantly lower in the Aβ-PET-positive compared to Aβ-PET-negative individuals. Furthermore, we found a positive effect of the miRNA-15b*time interaction on regional metabolic 18F-FDG-PET uptake in the left hippocampus. Plasma miRNA-125b concentrations, as well as the miRNA-125b*time interaction (over a 2-year follow-up), were negatively associated with regional Aβ-PET standard uptake value ratio in the right anterior cingulate cortex. At baseline, we found a significantly negative association between plasma miRNA-125b concentrations and 18F-FDG-PET uptake in specific brain regions. In an asymptomatic at-risk population for AD, we show significant associations between plasma concentrations of miRNA-125b and miRNA-15b with core neuroimaging biomarkers of AD pathophysiology. Our results, coupled with existing experimental evidence, suggest a potential protective anti-Aβ effect of miRNA-15b and a biological link between miRNA-125b and Aβ-independent neurotoxic pathways.

Published
2021

7. Age and sex impact plasma NFL and t-Tau trajectories in individuals with subjective memory complaints: a 3-year follow-up study.

Author

Baldacci, Filippo, Lista, Simone, Manca, Maria Laura, Chiesa, Patrizia A, Cavedo, Enrica, Lemercier, Pablo, Zetterberg, Henrik, Blennow, Kaj, Habert, Marie-Odile, Potier, Marie Claude, Dubois, Bruno, Vergallo, Andrea, Hampel, Harald, INSIGHT-preAD study group, and Alzheimer Precision Medicine Initiative (APMI)

Subjects
INSIGHT-preAD study group, Alzheimer Precision Medicine Initiative, Alzheimer’s disease, Biomarkers, Mild cognitive impairment, Neurofilament light chain, Subjective memory complainers, Tau, Medical and Health Sciences
Abstract

BackgroundPlasma neurofilament light (NFL) and total Tau (t-Tau) proteins are candidate biomarkers for early stages of Alzheimer's disease (AD). The impact of biological factors on their plasma concentrations in individuals with subjective memory complaints (SMC) has been poorly explored. We longitudinally investigate the effect of sex, age, APOE ε4 allele, comorbidities, brain amyloid-β (Aβ) burden, and cognitive scores on plasma NFL and t-Tau concentrations in cognitively healthy individuals with SMC, a condition associated with AD development.MethodsThree hundred sixteen and 79 individuals, respectively, have baseline and three-time point assessments (at baseline, 1-year, and 3-year follow-up) of the two biomarkers. Plasma biomarkers were measured with an ultrasensitive assay in a mono-center cohort (INSIGHT-preAD study).ResultsWe show an effect of age on plasma NFL, with women having a higher increase of plasma t-Tau concentrations compared to men, over time. The APOE ε4 allele does not affect the biomarker concentrations while plasma vitamin B12 deficiency is associated with higher plasma t-Tau concentrations. Both biomarkers are correlated and increase over time. Baseline NFL is related to the rate of Aβ deposition at 2-year follow-up in the left-posterior cingulate and the inferior parietal gyri. Baseline plasma NFL and the rate of change of plasma t-Tau are inversely associated with cognitive score.ConclusionWe find that plasma NFL and t-Tau longitudinal trajectories are affected by age and female sex, respectively, in SMC individuals. Exploring the influence of biological variables on AD biomarkers is crucial for their clinical validation in blood.

Published
2020

8. COGEVIS: A New Scale to Evaluate Cognition in Patients with Visual Deficiency

Author

Meyniel, Claire, Samri, Dalila, Stefano, Farah, Crevoisier, Joel, Bonté, Florence, Migliaccio, Raffaella, Delaby, Laure, Bertrand, Anne, Habert, Marie Odile, Dubois, Bruno, Bodaghi, Bahram, and Epelbaum, Stéphane

Subjects
Quantitative Biology - Neurons and Cognition, Computer Science - Human-Computer Interaction
Abstract

We evaluated the cognitive status of visually impaired patients referred to low vision rehabilitation (LVR) based on a standard cognitive battery and a new evaluation tool, named the COGEVIS, which can be used to assess patients with severe visual deficits. We studied patients aged 60 and above, referred to the LVR Hospital in Paris. Neurological and cognitive evaluations were performed in an expert memory center. Thirty-eight individuals, 17 women and 21 men with a mean age of 70.3 $\pm$ 1.3 years and a mean visual acuity of 0.12 $\pm$ 0.02, were recruited over a one-year period. Sixty-three percent of participants had normal cognitive status. Cognitive impairment was diagnosed in 37.5% of participants. The COGEVIS score cutoff point to screen for cognitive impairment was 24 (maximum score of 30) with a sensitivity of 66.7% and a specificity of 95%. Evaluation following 4 months of visual rehabilitation showed an improvement of Instrumental Activities of Daily Living (p = 0 004), National Eye Institute Visual Functioning Questionnaire (p = 0 035), and Montgomery-{\AA}sberg Depression Rating Scale (p = 0 037). This study introduces a new short test to screen for cognitive impairment in visually impaired patients.

Published
2018
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10. Reproducible evaluation of classification methods in Alzheimer's disease: framework and application to MRI and PET data

Author

Samper-González, Jorge, Burgos, Ninon, Bottani, Simona, Fontanella, Sabrina, Lu, Pascal, Marcoux, Arnaud, Routier, Alexandre, Guillon, Jérémy, Bacci, Michael, Wen, Junhao, Bertrand, Anne, Bertin, Hugo, Habert, Marie-Odile, Durrleman, Stanley, Evgeniou, Theodoros, and Colliot, Olivier

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

A large number of papers have introduced novel machine learning and feature extraction methods for automatic classification of AD. However, they are difficult to reproduce because key components of the validation are often not readily available. These components include selected participants and input data, image preprocessing and cross-validation procedures. The performance of the different approaches is also difficult to compare objectively. In particular, it is often difficult to assess which part of the method provides a real improvement, if any. We propose a framework for reproducible and objective classification experiments in AD using three publicly available datasets (ADNI, AIBL and OASIS). The framework comprises: i) automatic conversion of the three datasets into BIDS format, ii) a modular set of preprocessing pipelines, feature extraction and classification methods, together with an evaluation framework, that provide a baseline for benchmarking the different components. We demonstrate the use of the framework for a large-scale evaluation on 1960 participants using T1 MRI and FDG PET data. In this evaluation, we assess the influence of different modalities, preprocessing, feature types, classifiers, training set sizes and datasets. Performances were in line with the state-of-the-art. FDG PET outperformed T1 MRI for all classification tasks. No difference in performance was found for the use of different atlases, image smoothing, partial volume correction of FDG PET images, or feature type. Linear SVM and L2-logistic regression resulted in similar performance and both outperformed random forests. The classification performance increased along with the number of subjects used for training. Classifiers trained on ADNI generalized well to AIBL and OASIS. All the code of the framework and the experiments is publicly available at: https://gitlab.icm-institute.org/aramislab/AD-ML.

Published
2018
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11. Applicability of in vivo staging of regional amyloid burden in a cognitively normal cohort with subjective memory complaints: the INSIGHT-preAD study.

Author

Sakr, Fatemah, Grothe, Michel, Cavedo, Enrica, Jelistratova, Irina, Habert, Marie-Odile, Dyrba, Martin, Gonzalez-Escamilla, Gabriel, Bertin, Hugo, Locatelli, Maxime, Lehericy, Stephane, Teipel, Stefan, Dubois, Bruno, and Hampel, Harald

Subjects
Amyloid PET, In vivo staging, Subjective memory complaint, Aged, Aged, 80 and over, Alzheimer Disease, Amyloid, Cognition, Cognitive Dysfunction, Cohort Studies, Diagnostic Self Evaluation, Female, Follow-Up Studies, Humans, Male, Memory, Mental Status and Dementia Tests
Abstract

BACKGROUND: Current methods of amyloid PET interpretation based on the binary classification of global amyloid signal fail to identify early phases of amyloid deposition. A recent analysis of 18F-florbetapir PET data from the Alzheimers disease Neuroimaging Initiative cohort suggested a hierarchical four-stage model of regional amyloid deposition that resembles neuropathologic estimates and can be used to stage an individuals amyloid burden in vivo. Here, we evaluated the validity of this in vivo amyloid staging model in an independent cohort of older people with subjective memory complaints (SMC). We further examined its potential association with subtle cognitive impairments in this population at elevated risk for Alzheimers disease (AD). METHODS: The monocentric INSIGHT-preAD cohort includes 318 cognitively intact older individuals with SMC. All individuals underwent 18F-florbetapir PET scanning and extensive neuropsychological testing. We projected the regional amyloid uptake signal into the previously proposed hierarchical staging model of in vivo amyloid progression. We determined the adherence to this model across all cases and tested the association between increasing in vivo amyloid stage and cognitive performance using ANCOVA models. RESULTS: In total, 156 participants (49%) showed evidence of regional amyloid deposition, and all but 2 of these (99%) adhered to the hierarchical regional pattern implied by the in vivo amyloid progression model. According to a conventional binary classification based on global signal (SUVRCereb = 1.10), individuals in stages III and IV were classified as amyloid-positive (except one in stage III), but 99% of individuals in stage I and even 28% of individuals in stage II were classified as amyloid-negative. Neither in vivo amyloid stage nor conventional binary amyloid status was significantly associated with cognitive performance in this preclinical cohort. CONCLUSIONS: The proposed hierarchical staging scheme of PET-evidenced amyloid deposition generalizes well to data from an independent cohort of older people at elevated risk for AD. Future studies will determine the prognostic value of the staging approach for predicting longitudinal cognitive decline in older individuals at increased risk for AD.

Published
2019

12. Benzodiazepine use and neuroimaging markers of Alzheimer’s disease in nondemented older individuals: an MRI and 18F Florbetapir PET study in the MEMENTO cohort

Author

Gallet, Quentin, Bouteloup, Vincent, Locatelli, Maxime, Habert, Marie-Odile, Chupin, Marie, Delrieu, Julien, Lebouvier, Thibaud, Robert, Gabriel, David, Renaud, Bulteau, Samuel, Balageas, Anna-Chloé, Surget, Alexandre, Belzung, Catherine, Arlicot, Nicolas, Ribeiro, Maria-Joao, Barantin, Laurent, Andersson, Frédéric, Cottier, Jean-Philippe, Gissot, Valérie, El-Hage, Wissam, Camus, Vincent, Gohier, Bénédicte, and Desmidt, Thomas

Published
2022
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14. Explaining the association between social and lifestyle factors and cognitive functions: a pathway analysis in the Memento cohort

Author

Grasset, Leslie, Proust-Lima, Cécile, Mangin, Jean-François, Habert, Marie-Odile, Dubois, Bruno, Paquet, Claire, Hanon, Olivier, Gabelle, Audrey, Ceccaldi, Mathieu, Annweiler, Cédric, David, Renaud, Jonveaux, Therese, Belin, Catherine, Julian, Adrien, Rouch-Leroyer, Isabelle, Pariente, Jérémie, Locatelli, Maxime, Chupin, Marie, Chêne, Geneviève, and Dufouil, Carole

Published
2022
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15. Pilot study of repeated blood-brain barrier disruption in patients with mild Alzheimer’s disease with an implantable ultrasound device

Author

Epelbaum, Stéphane, Burgos, Ninon, Canney, Michael, Matthews, Dawn, Houot, Marion, Santin, Mathieu D., Desseaux, Carole, Bouchoux, Guillaume, Stroer, Sebastian, Martin, Cyril, Habert, Marie-Odile, Levy, Marcel, Bah, Aicha, Martin, Karine, Delatour, Benoît, Riche, Maximilien, Dubois, Bruno, Belin, Lisa, and Carpentier, Alexandre

Published
2022
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16. Prodromal characteristics of dementia with Lewy bodies: baseline results of the MEMENTO memory clinics nationwide cohort

Author

Blanc, Frederic, Bouteloup, Vincent, Paquet, Claire, Chupin, Marie, Pasquier, Florence, Gabelle, Audrey, Ceccaldi, Mathieu, de Sousa, Paulo Loureiro, Krolak-Salmon, Pierre, David, Renaud, Fischer, Clara, Dartigues, Jean-François, Wallon, David, Moreaud, Olivier, Sauvée, Mathilde, Belin, Catherine, Harston, Sandrine, Botzung, Anne, Albasser, Timothée, Demuynck, Catherine, Namer, Izzie, Habert, Marie-Odile, Kremer, Stéphane, Bousiges, Olivier, Verny, Marc, Muller, Candice, Philippi, Nathalie, Chene, Geneviève, Cretin, Benjamin, Mangin, Jean-François, and Dufouil, Carole

Published
2022
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18. Yet Another ADNI Machine Learning Paper? Paving The Way Towards Fully-reproducible Research on Classification of Alzheimer's Disease

Author

Samper-González, Jorge, Burgos, Ninon, Fontanella, Sabrina, Bertin, Hugo, Habert, Marie-Odile, Durrleman, Stanley, Evgeniou, Theodoros, and Colliot, Olivier

Subjects
Statistics - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Quantitative Biology - Neurons and Cognition, Quantitative Biology - Quantitative Methods
Abstract

In recent years, the number of papers on Alzheimer's disease classification has increased dramatically, generating interesting methodological ideas on the use machine learning and feature extraction methods. However, practical impact is much more limited and, eventually, one could not tell which of these approaches are the most efficient. While over 90\% of these works make use of ADNI an objective comparison between approaches is impossible due to variations in the subjects included, image pre-processing, performance metrics and cross-validation procedures. In this paper, we propose a framework for reproducible classification experiments using multimodal MRI and PET data from ADNI. The core components are: 1) code to automatically convert the full ADNI database into BIDS format; 2) a modular architecture based on Nipype in order to easily plug-in different classification and feature extraction tools; 3) feature extraction pipelines for MRI and PET data; 4) baseline classification approaches for unimodal and multimodal features. This provides a flexible framework for benchmarking different feature extraction and classification tools in a reproducible manner. We demonstrate its use on all (1519) baseline T1 MR images and all (1102) baseline FDG PET images from ADNI 1, GO and 2 with SPM-based feature extraction pipelines and three different classification techniques (linear SVM, anatomically regularized SVM and multiple kernel learning SVM). The highest accuracies achieved were: 91% for AD vs CN, 83% for MCIc vs CN, 75% for MCIc vs MCInc, 94% for AD-A$\beta$+ vs CN-A$\beta$- and 72% for MCIc-A$\beta$+ vs MCInc-A$\beta$+. The code is publicly available at https://gitlab.icm-institute.org/aramislab/AD-ML (depends on the Clinica software platform, publicly available at http://www.clinica.run).

Published
2017
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19. Basal Forebrain Volume, but Not Hippocampal Volume, Is a Predictor of Global Cognitive Decline in Patients With Alzheimer's Disease Treated With Cholinesterase Inhibitors

Author

Teipel, Stefan J, Cavedo, Enrica, Hampel, Harald, Grothe, Michel J, Initiative, Alzheimer's Disease Neuroimaging, Initiative, Alzheimer Precision Medicine, Aguilar, Lisi Flores, Babiloni, Claudio, Baldacci, Filippo, Benda, Norbert, Black, Keith L, Bokde, Arun LW, Bonuccelli, Ubaldo, Broich, Karl, Bun, René S, Cacciola, Francesco, Castrillo, Juan, Ceravolo, Roberto, chiesa, Patrizia A, Colliot, Olivier, Coman, Cristina-Maria, Corvol, Jean-Christophe, Cuello, Augusto Claudio, Cummings, Jeffrey L, Depypere, Herman, Dubois, Bruno, Duggento, Andrea, Durrleman, Stanley, Escott-price, Valentina, Federoff, Howard, Ferretti, Maria Teresa, Fiandaca, Massimo, Frank, Richard A, Garaci, Francesco, Genthon, Remy, George, Nathalie, Giorgi, Filippo S, Graziani, Manuela, Haberkamp, Marion, Habert, Marie-Odile, Herholz, Karl, Karran, Eric, Seung, H KIM, Koronyo, Yosef, Koronyo-Hamaoui, Maya, Lamari, Foudil, Langevin, Todd, Lehéricy, Stéphane, Lista, Simone, Lorenceau, Jean, Mapstone, Mark, Neri, Christian, Nisticò, Robert, Nyasse-Messene, Francis, O'Bryant, Sid E, Perry, George, Ritchie, Craig, Rojkova, Katrine, Rossi, Simone, Saidi, Amira, Santarnecchi, Emiliano, Schneider, Lon S, Sporns, Olaf, Toschi, Nicola, Verdooner, Steven R, Vergallo, Andrea, Villain, Nicolas, Welikovitch, Lindsay A, Woodcock, Janet, and Younesi, Erfan

Subjects
Biological Psychology, Psychology, Neurosciences, Brain Disorders, Dementia, Neurodegenerative, Clinical Research, Acquired Cognitive Impairment, Behavioral and Social Science, Alzheimer's Disease, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aging, Neurological, Alzheimer's Disease Neuroimaging Initiative, Alzheimer Precision Medicine Initiative, MRI, basal forebrain, cholinergic treatment, executive function, hippocampus, memory, prediction, Clinical Sciences, Clinical sciences, Biological psychology
Abstract

Background: Predicting the progression of cognitive decline in Alzheimer's disease (AD) is important for treatment selection and patient counseling. Structural MRI markers such as hippocampus or basal forebrain volumes might represent useful instruments for the prediction of cognitive decline. The primary objective was to determine the predictive value of hippocampus and basal forebrain volumes for global and domain specific cognitive decline in AD dementia during cholinergic treatment. Methods: We used MRI and cognitive data from 124 patients with the clinical diagnosis of AD dementia, derived from the ADNI-1 cohort, who were on standard of care cholinesterase inhibitor treatment during a follow-up period between 0.4 and 3.1 years. We used linear mixed effects models with cognitive function as outcome to assess the main effects as well as two-way interactions between baseline volumes and time controlling for age, sex, and total intracranial volume. This model accounts for individual variation in follow-up times. Results: Basal forebrain volume, but not hippocampus volume, was a significant predictor of rates of global cognitive decline. Larger volumes were associated with smaller rates of cognitive decline. Left hippocampus volume had a modest association with rates of episodic memory decline. Baseline performance in global cognition and memory was significantly associated with hippocampus and basal forebrain volumes; in addition, basal forebrain volume was associated with baseline performance in executive function. Conclusions: Our findings indicate that in AD dementia patients, basal forebrain volume may be a useful marker to predict subsequent cognitive decline during cholinergic treatment.

Published
2018

24. Association of plasma YKL-40 with brain amyloid-β levels, memory performance, and sex in subjective memory complainers

Author

Bakardjian, Hovagim, Benali, Habib, Bertin, Hugo, Bonheur, Joel, Boukadida, Laurie, Boukerrou, Nadia, Cavedo, Enrica, Chiesa, Patrizia, Colliot, Olivier, Dubois, Bruno, Dubois, Marion, Epelbaum, Stéphane, Gagliardi, Geoffroy, Genthon, Remy, Habert, Marie-Odile, Hampel, Harald, Houot, Marion, Kas, Aurélie, Lamari, Foudil, Levy, Marcel, Lista, Simone, Metzinger, Christiane, Mochel, Fanny, Nyasse, Francis, Poisson, Catherine, Potier, Marie-Claude, Revillon, Marie, Santos, Antonio, Andrade, Katia Santos, Sole, Marine, Surtee, Mohmed, de Schotten, Michel Thiebaut, Vergallo, Andrea, Younsi, Nadjia, Afshar, Mohammad, Aguilar, Lisi Flores, Akman-Anderson, Leyla, Arenas, Joaquín, Ávila, Jesús, Babiloni, Claudio, Baldacci, Filippo, Batrla, Richard, Benda, Norbert, Black, Keith L., Bokde, Arun L.W., Bonuccelli, Ubaldo, Broich, Karl, Cacciola, Francesco, Caraci, Filippo, Caruso, Giuseppe, Castrillo†, Juan, Ceravolo, Roberto, Chiesa, Patrizia A., Corbo, Massimo, Corvol, Jean-Christophe, Cuello, Augusto Claudio, Cummings, Jeffrey L., Depypere, Herman, Duggento, Andrea, Emanuele, Enzo, Escott-Price, Valentina, Federoff, Howard, Ferretti, Maria Teresa, Fiandaca, Massimo, Frank, Richard A., Garaci, Francesco, Geerts, Hugo, Giacobini, Ezio, Giorgi, Filippo S., Goetzl, Edward J., Graziani, Manuela, Haberkamp, Marion, Hänisch, Britta, Herholz, Karl, Hernandez, Felix, Imbimbo, Bruno P., Kapogiannis, Dimitrios, Karran, Eric, Kiddle, Steven J., Kim, Seung H., Koronyo, Yosef, Koronyo-Hamaoui, Maya, Langevin, Todd, Lehéricy, Stéphane, Lemercier, Pablo, Llavero, Francisco, Lorenceau, Jean, Lucía, Alejandro, Mango, Dalila, Mapstone, Mark, Neri, Christian, Nisticò, Robert, O’bryant, Sid E., Palermo, Giovanni, Perry, George, Ritchie, Craig, Rossi, Simone, Saidi, Amira, Santarnecchi, Emiliano, Schneider, Lon S., Sporns, Olaf, Toschi, Nicola, Valenzuela, Pedro L., Vellas, Bruno, Verdooner, Steven R., Villain, Nicolas, Giudici, Kelly Virecoulon, Watling, Mark, Welikovitch, Lindsay A., Woodcock, Janet, Younesi, Erfan, Zugaza, José L., Zetterberg, Henrik, and Blennow, Kaj

Published
2020
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25. Isolated parkinsonism is an atypical presentation of GRN and C9orf72 gene mutations

Author

Carneiro, Fábio, Saracino, Dario, Huin, Vincent, Clot, Fabienne, Delorme, Cécile, Méneret, Aurélie, Thobois, Stéphane, Cormier, Florence, Corvol, Jean Christophe, Lenglet, Timothée, Vidailhet, Marie, Habert, Marie-Odile, Gabelle, Audrey, Beaufils, Émilie, Mondon, Karl, Tir, Mélissa, Andriuta, Daniela, Brice, Alexis, Deramecourt, Vincent, and Le Ber, Isabelle

Published
2020
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27. Resting-state posterior alpha rhythms are abnormal in subjective memory complaint seniors with preclinical Alzheimer's neuropathology and high education level: the INSIGHT-preAD study

Author

Babiloni, Claudio, Lopez, Susanna, Del Percio, Claudio, Noce, Giuseppe, Pascarelli, Maria Teresa, Lizio, Roberta, Teipel, Stefan J., González-Escamilla, Gabriel, Bakardjian, Hovagim, George, Nathalie, Cavedo, Enrica, Lista, Simone, Chiesa, Patrizia Andrea, Vergallo, Andrea, Lemercier, Pablo, Spinelli, Giuseppe, Grothe, Michel J., Potier, Marie-Claude, Stocchi, Fabrizio, Ferri, Raffaele, Habert, Marie-Odile, Fraga, Francisco J., Dubois, Bruno, and Hampel, Harald

Published
2020
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28. Preclinical Alzheimer's disease: Definition, natural history, and diagnostic criteria.

Author

Dubois, Bruno, Hampel, Harald, Feldman, Howard H, Scheltens, Philip, Aisen, Paul, Andrieu, Sandrine, Bakardjian, Hovagim, Benali, Habib, Bertram, Lars, Blennow, Kaj, Broich, Karl, Cavedo, Enrica, Crutch, Sebastian, Dartigues, Jean-François, Duyckaerts, Charles, Epelbaum, Stéphane, Frisoni, Giovanni B, Gauthier, Serge, Genthon, Remy, Gouw, Alida A, Habert, Marie-Odile, Holtzman, David M, Kivipelto, Miia, Lista, Simone, Molinuevo, José-Luis, O'Bryant, Sid E, Rabinovici, Gil D, Rowe, Christopher, Salloway, Stephen, Schneider, Lon S, Sperling, Reisa, Teichmann, Marc, Carrillo, Maria C, Cummings, Jeffrey, Jack, Cliff R, Proceedings of the Meeting of the International Working Group (IWG) and the American Alzheimer's Association on “The Preclinical State of AD”, July 23, 2015, and Washington DC, USA

Subjects
Proceedings of the Meeting of the International Working Group (IWG) and the American Alzheimer's Association on “The Preclinical State of AD”, July 23, 2015, Washington DC, USA, Brain, Animals, Humans, Alzheimer Disease, Disease Progression, Alzheimer's disease, Amyloid PET, Asymptomatic, Biomarkers, Blood biomarkers, CSF biomarkers, Diagnostic criteria, Genetics, MRI, Pathophysiology, Preclinical, Tau PET, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Aging, Neurodegenerative, Dementia, Alzheimer's Disease, Brain Disorders, Acquired Cognitive Impairment, Human Genome, Neurosciences, Neurological, Clinical Sciences, Geriatrics
Abstract

During the past decade, a conceptual shift occurred in the field of Alzheimer's disease (AD) considering the disease as a continuum. Thanks to evolving biomarker research and substantial discoveries, it is now possible to identify the disease even at the preclinical stage before the occurrence of the first clinical symptoms. This preclinical stage of AD has become a major research focus as the field postulates that early intervention may offer the best chance of therapeutic success. To date, very little evidence is established on this "silent" stage of the disease. A clarification is needed about the definitions and lexicon, the limits, the natural history, the markers of progression, and the ethical consequence of detecting the disease at this asymptomatic stage. This article is aimed at addressing all the different issues by providing for each of them an updated review of the literature and evidence, with practical recommendations.

Published
2016

29. Biomarker-guided clustering of Alzheimer's disease clinical syndromes

Author

Bakardjian, Hovagim, Benali, Habib, Bertin, Hugo, Bonheur, Joel, Boukadida, Laurie, Boukerrou, Nadia, Cavedo, Enrica, Chiesa, Patrizia, Colliot, Olivier, Dubois, Bruno, Dubois, Marion, Epelbaum, Stéphane, Gagliardi, Geoffroy, Genthon, Remy, Habert, Marie-Odile, Hampel, Harald, Houot, Marion, Kas, Aurélie, Lamari, Foudil, Levy, Marcel, Lista, Simone, Metzinger, Christiane, Mochel, Fanny, Nyasse, Francis, Poisson, Catherine, Potier, Marie-Claude, Revillon, Marie, Santos, Antonio, Andrade, Katia Santos, Sole, Marine, Surtee, Mohmed, Thiebaut de Schotten, Michel, Vergallo, Andrea, Younsi, Nadjia, Toschi, Nicola, Baldacci, Filippo, Zetterberg, Henrik, Blennow, Kaj, Kilimann, Ingo, Teipel, Stefan J., Melo dos Santos, Antonio, Floris, Roberto, and Garaci, Francesco

Published
2019
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33. Brain Aβ load association and sexual dimorphism of plasma BACE1 concentrations in cognitively normal individuals at risk for AD

Author

Bakardjian, H., Benali, H., Bertin, H., Bonheur, J., Boukadida, L., Boukerrou, N., Cavedo, E., Chiesa, P., Colliot, O., Dubois, B., Dubois, M., Epelbaum, S., Gagliardi, G., Genthon, R., Habert, M.O., Hampel, H., Houot, M., Kas, A., Lamari, F., Levy, M., Lista, S., Metzinger, C., Mochel, F., Nyasse, F., Poisson, C., Potier, M.C., Revillon, M., Santos, A., Andrade, K.S., Sole, M., Surtee, M., Thiebaud de Schotten, M., Vergallo, A., Younsi, N., Afshar, Mohammad, Flores Aguilar, Lisi, Akman-Anderson, Leyla, Arenas, Joaquín, Avila, Jesus, Babiloni, Claudio, Baldacci, Filippo, Batrla, Richard, Benda, Norbert, Black, Keith L., Bokde, Arun L.W., Bonuccelli, Ubaldo, Broich, Karl, Cacciola, Francesco, Caraci, Filippo, Castrillo, Juan, Cavedo, Enrica, Ceravolo, Roberto, Chiesa, Patrizia A., Corvol, Jean-Christophe, Claudio Cuello, Augusto, Cummings, Jeffrey L., Depypere, Herman, Dubois, Bruno, Duggento, Andrea, Emanuele, Enzo, Escott-Price, Valentina, Federoff, Howard, Teresa Ferretti, Maria, Fiandaca, Massimo, Frank, Richard A., Garaci, Francesco, Geerts, Hugo, Giorgi, Filippo S., Goetzl, Edward J., Graziani, Manuela, Haberkamp, Marion, Marie-Odile, Habert, Hampel, Harald, Herholz, Karl, Hernandez, Felix, Kapogiannis, Dimitrios, Karran, Eric, Kiddle, Steven J., Kim, Seung H., Koronyo, Yosef, Koronyo-Hamaoui, Maya, Langevin, Todd, Lehéricy, Stéphane, Lucía, Alejandro, Lista, Simone, Lorenceau, Jean, Mango, Dalila, Mapstone, Mark, Neri, Christian, Nisticò, Robert, O'Bryant, Sid E., Palermo, Giovanni, Perry, George, Ritchie, Craig, Rossi, Simone, Saidi, Amira, Santarnecchi, Emiliano, Schneider, Lon S., Sporns, Olaf, Toschi, Nicola, Verdooner, Steven R., Vergallo, Andrea, Villain, Nicolas, Welikovitch, Lindsay A., Woodcock, Janet, Younesi, Erfan, Houot, Marion, Lemercier, Pablo, Vanmechelen, Eugeen, De Vos, Ann, Habert, Marie-Odile, and Potier, Marie-Claude

Published
2019
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34. Differential default mode network trajectories in asymptomatic individuals at risk for Alzheimer's disease

Author

Bakardjian, Hovagim, Benali, Habib, Bertin, Hugo, Bonheur, Joel, Boukadida, Laurie, Boukerrou, Nadia, Cavedo, Enrica, Chiesa, Patrizia, Colliot, Olivier, Dubois, Bruno, Dubois, Marion, Epelbaum, Stéphane, Gagliardi, Geoffroy, Genthon, Remy, Habert, Marie-Odile, Hampel, Harald, Houot, Marion, Kas, Aurélie, Lamari, Foudil, Levy, Marcel, Lista, Simone, Metzinger, Christiane, Mochel, Fanny, Nyasse, Francis, Poisson, Catherine, Potier, Marie-Claude, Revillon, Marie, Santos, Antonio, Andrade, Katia Santos, Sole, Marine, Surtee, Mohmed, de Schotten, Michel Thiebaud, Vergallo, Andrea, Younsi, Nadjia, Afshar, Mohammad, Aguilar, Lisi Flores, Akman-Anderson, Leyla, Arenas, Joaquín, Avila, Jesus, Babiloni, Claudio, Baldacci, Filippo, Batrla, Richard, Benda, Norbert, Black, Keith L., Bokde, Arun L.W., Bonuccelli, Ubaldo, Broich, Karl, Cacciola, Francesco, Caraci, Filippo, Castrillo, Juan, Ceravolo, Roberto, Chiesa, Patrizia A., Corvol, Jean-Christophe, Cuello, Augusto Claudio, Cummings, Jeffrey L., Depypere, Herman, Duggento, Andrea, Emanuele, Enzo, Escott-Price, Valentina, Federoff, Howard, Ferretti, Maria Teresa, Fiandaca, Massimo, Frank, Richard A., Garaci, Francesco, Geerts, Hugo, Giorgi, Filippo S., Goetzl, Edward J., Graziani, Manuela, Haberkamp, Marion, Herholz, Karl, Hernandez, Felix, Kapogiannis, Dimitrios, Karran, Eric, Kiddle, Steven J., Kim, Seung H., Koronyo, Yosef, Koronyo-Hamaoui, Maya, Langevin, Todd, Lehéricy, Stéphane, Lucía, Alejandro, Lorenceau, Jean, Mango, Dalila, Mapstone, Mark, Neri, Christian, Nisticó, Robert, O’Bryant, Sid E., Palermo, Giovanni, Perry, George, Ritchie, Craig, Rossi, Simone, Saidi, Amira, Santarnecchi, Emiliano, Schneider, Lon S., Sporns, Olaf, Toschi, Nicola, Verdooner, Steven R., Villain, Nicolas, Welikovitch, Lindsay A., Woodcock, Janet, Younesi, Erfan, and Thiebaut de Schotten, Michel

Published
2019
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35. Plasma amyloid β 40/42 ratio predicts cerebral amyloidosis in cognitively normal individuals at risk for Alzheimer's disease

Author

Bakardjian, H., Benali, H., Bertin, H., Bonheur, J., Boukadida, L., Boukerrou, N., Cavedo, E., Chiesa, P., Colliot, O., Dubois, B., Dubois, M., Epelbaum, S., Gagliardi, G., Genthon, R., Habert, M.O., Hampel, H., Houot, M., Kas, A., Lamari, F., Levy, M., Lista, S., Metzinger, C., Mochel, F., Nyasse, F., Poisson, C., Potier, M.C., Revillon, M., Santos, A., Andrade, K.S., Sole, M., Surtee, M., de Schotten M, Thiebaud, Vergallo, A., Younsi, N., Aguilar, Lisi Flores, Babiloni, Claudio, Baldacci, Filippo, Benda, Norbert, Black, Keith L., Bokde, Arun L.W., Bonuccelli, Ubaldo, Broich, Karl, Cacciola, Francesco, Castrillo, Juan, Cavedo, Enrica, Ceravolo, Roberto, Chiesa, Patrizia A., Corvol, Jean-Christophe, Cuello, Augusto Claudio, Cummings, Jeffrey L., Depypere, Herman, Dubois, Bruno, Duggento, Andrea, Escott-Price, Valentina, Federoff, Howard, Ferretti, Maria Teresa, Fiandaca, Massimo, Frank, Richard A., Garaci, Francesco, Geerts, Hugo, Giorgi, Filippo S., Graziani, Manuela, Haberkamp, Marion, Habert, Marie-Odile, Hampel, Harald, Herholz, Karl, Karran, Eric, Kim, Seung H., Koronyo, Yosef, Koronyo-Hamaoui, Maya, Lamari, Foudil, Langevin, Todd, Lehéricy, Stéphane, Lista, Simone, Lorenceau, Jean, Mango, Dalila, Mapstone, Mark, Neri, Christian, Nisticò, Robert, O'Bryant, Sid E., Perry, George, Ritchie, Craig, Rossi, Simone, Saidi, Amira, Santarnecchi, Emiliano, Schneider, Lon S., Sporns, Olaf, Toschi, Nicola, Verdooner, Steven R., Vergallo, Andrea, Villain, Nicolas, Welikovitch, Lindsay A., Woodcock, Janet, Younesi, Erfan, Mégret, Lucile, Zetterberg, Henrik, Blennow, Kaj, Vanmechelen, Eugeen, De Vos, Ann, and Potier, Marie-Claude

Published
2019
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36. Subjective cognitive decline and rates of incident Alzheimer's disease and non–Alzheimer's disease dementia

Author

Boada, Mercè, de Deyn, Peter Paul, Jones, Roy, Frisoni, Giovanni, Spiru, Luiza, Nobili, Flavio, Freund-Levi, Yvonne, Soininen, Hilkka, Verhey, Frans, Wallin, Åsa K., Touchon, Jacques, Rikkert, Marcel Olde, Rigaud, Anne-Sophie, Bullock, Roger, Tsolaki, Magda, Vellas, Bruno, Wilcock, Gordon, Hampel, Harald, Froelich, Lutz, Bakardjian, Hovagim, Benali, Habib, Bertin, Hugo, Bonheur, Joel, Boukadida, Laurie, Boukerrou, Nadia, Cavedo, Enrica, Chiesa, Patrizia, Colliot, Olivier, Dubois, Bruno, Dubois, Marion, Epelbaum, Stéphane, Gagliardi, Geoffroy, Genthon, Remy, Habert, Marie-Odile, Houot, Marion, Kas, Aurélie, Lamari, Foudil, Levy, Marcel, Lista, Simone, Metzinger, Christiane, Mochel, Fanny, Nyasse, Francis, Poisson, Catherine, Potier, Marie-Claude, Revillon, Marie, Santos, Antonio, Andrade, Katia Santos, Sole, Marine, Surtee, Mohmed, Thiebaud de Schotten, Michel, Vergallo, Andrea, Younsi, Nadjia, Slot, Rosalinde E.R., Sikkes, Sietske A.M., Berkhof, Johannes, Brodaty, Henry, Buckley, Rachel, Dardiotis, Efthimios, Guillo-Benarous, Francoise, Kochan, Nicole A., Luck, Tobias, Maruff, Paul, Molinuevo, José Luis, Kornhuber, Johannes, Reisberg, Barry, Riedel-Heller, Steffi G., Risacher, Shannon L., Roehr, Susanne, Sachdev, Perminder S., Scarmeas, Nikolaos, Scheltens, Philip, Shulman, Melanie B., Saykin, Andrew J., Verfaillie, Sander C.J., Visser, Pieter Jelle, Vos, Stephanie J.B., Wagner, Michael, Wolfsgruber, Steffen, Jessen, Frank, and van der Flier, Wiesje M.

Published
2019
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37. Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease

Author

Bakardjian, Hovagim, Benali, Habib, Bertin, Hugo, LaurieBoukadida, Joel Bonheur, Boukerrou, Nadia, Cavedo, Enrica, Chiesa, Patrizia, Colliot, Olivier, Dubois, Bruno, Dubois, Marion, Epelbaum, Stéphane, Gagliardi, Geoffroy, Genthon, Remy, Habert, Marie-Odile, Hampel, Harald, Houot, Marion, Kas, Aurélie, Lamari, Foudil, Levy, Marcel, Lista, Simone, Metzinger, Christiane, Mochel, Fanny, Nyasse, Francis, Poisson, Catherine, Potier, Marie-Claude, Revillon, Marie, Santos, Antonio, Andrade, Katia Santos, Sole, Marine, Surtee, Mohmed, Thiebaud de Schotten, Michel, Vergallo, Andrea, Younsi, Nadjia, Villeneuve, Sarah-Christine, Cacciamani, Federica, Verrijp, Merike, and Sikkes, Sietske

Published
2019
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38. Trial of Deferiprone in Parkinson’s Disease

Author

Devos, David, Labreuche, Julien, Dušek, Petr, Post, Bart, Bloem, Bastiaan R, Berg, Daniela, Maetzler, Walter, Otto, Markus, Habert, Marie-Odile, Lehericy, Stéphane, Ferreira, Joaquim, Dodel, Richard, Rascol, Olivier, Tranchant, Christine, Eusebio, Alexandre, Thobois, Stéphane, Marques, Ana-Raquel, Meissner, Wassilios G, Ory-Magne, Fabienne, Walter, Uwe, de Bie, Rob M A, Gago, Miguel, Vilas, Dolores, Corvol, Jean-Christophe, Kulisevsky, Jaime, Januario, Cristina, Coelho, Miguel V S, Behnke, Stefanie, Worth, Paul, Seppi, Klaus, Ouk, Thavarak, Potey, Camille, Leclercq, Céline, Viard, Romain, Duhamel, Alain, Kuchcinski, Gregory, Lopes, Renaud, Pruvo, Jean-Pierre, Pigny, Pascal, Garçon, Guillaume, Simonin, Ophélie, Carpentier, Jessica, Rolland, Anne-Sophie, Nyholm, Dag, Scherfler, Christoph, Guyon Delannoy, Pauline, Mangin, Jean-François, Chupin, Marie, Bordet, Régis, Dexter, David T, Fradette, Caroline, Spino, Michael, Tricta, Fernando, Ayton, Scott, Bush, Ashley I, Devedjian, Jean-Christophe, Poewe, Werner, Duce, James A, Cabantchik, Ioav, Defebvre, Luc, Deplanque, Dominique, Moreau, Caroline, Group, FAIRPARK-II Study, Compta, Yaroslau, Pavese, Nicola, Růžička, Evžen, Basenau, Sandra, Beliveau, Vincent, Benchetrit, Eve, Best, Laura, Bloem, Bas, Bonicel, Robin, Boraud, T., Bordet, Regis, Bouca, Raquel, Bourdain, Frédéric, Bouzas, Jimena, Brefel-Courbon, Christine, Bubenheim, Michael, Burn, David, Bush, Ashley I, Cabantchik, Ioav, Calvas, Fabienne, Cámara, Ana, Campolongo, Antonia, Carrière, Nicolas, Chaigneau, Véronique, Matthieu, Collin, Compta, Yaroslau, Connelly, John, Cormier-Dequaire, Florence, Cranston, Amy, Dean, Rory, De Marzi, Roberto, Degos, Bertrand, Demotes, Jacques, Dellapina, Estelle, Deplanque, Dominique, Devedjian, Jean-Christophe, Devos, David, Dexter, David, Dodel, Richard, Dongmo, Carole, Duce, James, Duhamel, Alain, Dupouy, Julia, Dusek, Petr, El Mountassir, Fouzia, Eyvrard, Frédéric, Fernández, Manel, Ferreira, Joaquim, Forni, Gian Luca, Foster, Victoria, Foubert-Samier, Alexandra, Fradette, Caroline, Fréville, Laëtitia, Galitzky, Monique, Gaudebout, Cecile, Gelé, Patrick, Giladi, Nir, Grabli, David, Gleixner, Franck, Grolez, Guillaume, Guyon, Pauline, Habert, Marie-Odile, Harroch, Estelle, Hartmann, Andreas, Hirsch, Denise, Hisbergues, Michael, Hobert, Markus A, Hopfner, Franziska, Jurado, Camille, Kaiser, Andreas, Keen, Gill, Klaus, Seppi, Kouassi, Nadège, Labreuch, Julien, Lacomblez, Lucette, Lagha Boukbiza, Ouhaid, Lanthaler, Barbara, Lechatellier, Gilles, Le Forestier, Nadine, Lehmann, Fred, Lloret, Teresa, Le Naour, J., Le Toullec, Benjamin, Locatelli, Maxime, Löhle, Matthias, Lomeña, F., Longato, Nadine, Lützen, Ulf, McNichol, Ann, Maetzler, Corina, Maetzler, Walter, Mahlknecht, Philipp, Mangone, Graziella, Marín-Lahoz, Juan, Mariani, Louise-Laure, Marques, Ana, Matei, Mihaela, Matthias, Löhle, Maucourt Bacchi, Emilie, Meissner, Wassilios, Michon, Amelie, Moreau, Caroline, Nardocci, Nardo, Nosal, Florence, Nyholm, Dag, Oeckl, Patrick, Oravska, Irena, Ory, Fabienne, Otto, Markus, Ouk, Thavarak, Pagonabarraga, Javier, Pascual-Sedano, Berta, Peball, Marina, Phillips, Clélie, Pineau, Fanny, Planellas, Lluís, Pop-Ilieva, Chiesi, Rabier, Aurélie, Olivier, D., Riedel, Christian, Rodrigues, Maura, Roullet-Solignac, Isabelle, Rose, Christian, Rozova, Anna, Růžička, Evžen, Salis, Alexandra, Schäffer, Eva, Scherfler, Christoph, Schiefermeier, Natalia, Seppi, Klaus, Smagghe, Delphine, Silva, Tânia, Silva, Pedro, Socha, Julie, Souyris, Corinne, Spampinato, Umberto, Spino, Michael, Steel, Alison, Sweta, Bajaj, Thalamas, Claire, Teodor, Danaila, Teresa, Anna, Tison, François, Tolosa, Eduardo, Tricta, Fernando, Trifirò Trifirò, Gianluca, Vidailhet, Marie, Wang, Yi, Werkmann, Mario, Yilmas, Rezzak, You, Hana, Zeuner, Kirsten, Defebvre, Luc, Rascol, Olivier, Tranchant, Christine, Eusebio, Alexandre, Thobois, Stéphane, Corvol, Jean-Christophe, Durif, Franck, Meissner, Wassilos, Yaroslau, Compta, Vilas, Dolores, Kulisevsky, Jaime, Poewe, Werner, Ruzicka, Evzen, Gago, Miguel, Januario, Cristina, Vilhena Soares Coelho, Miguel, Berg, Daniela, Behnke, Stefanie, Walter, Uwe, Worth, Paul, Pavese, Nicola, Post, Bart, de Bie, Rob M A, Abbruzzese, Giovanni, Accart, Bertrand, Allain, Marie-Anne, Anheim, Mathieu, Ardigo, Diego, Aracil-Bolaños, Ignacio, Baba, Paul, Bakker, Martijn, Balzer-Geldsetzer, Monika, Bargalló, Núria, Barone, Paolo, Neurology, ANS - Neurodegeneration, and APH - Aging & Later Life

Subjects
administration & dosage [Deferiprone], Dopamine, Dopamine Agents, Medizin, Administration, Oral, Levodopa, Antiparkinson Agents, therapeutic use [Dopamine Agents], therapeutic use [Deferiprone], Deferiprone, metabolism [Iron], adverse effects [Deferiprone], Geriatrics/Aging, Parkinson Disease, General Medicine, Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3], Hematology/Oncology, chemistry [Substantia Nigra], adverse effects [Dopamine Agents], Disease Progression, administration & dosage [Dopamine Agents], physiopathology [Parkinson Disease], adverse effects [Iron Chelating Agents], Neutropenia, analysis [Iron], administration & dosage [Antiparkinson Agents], Iron, metabolism [Parkinson Disease], Neurology/Neurosurgery, therapeutic use [Levodopa], Iron Chelating Agents, pharmacology [Iron Chelating Agents], Double-Blind Method, adverse effects [Antiparkinson Agents], Genetics, diagnostic imaging [Substantia Nigra], metabolism [Substantia Nigra], Humans, ddc:610, diagnostic imaging [Brain], therapeutic use [Antiparkinson Agents], Brain Chemistry, pharmacology [Antiparkinson Agents], therapeutic use [Iron Chelating Agents], Hematology/Oncology General, chemically induced [Neutropenia], pharmacology [Deferiprone], drug therapy [Parkinson Disease], administration & dosage [Iron Chelating Agents], Geriatrics/Aging General, pharmacology [Dopamine Agents], drug effects [Substantia Nigra], Neuroscience
Abstract

Contains fulltext : 287484.pdf (Publisher’s version ) (Open Access) BACKGROUND: Iron content is increased in the substantia nigra of persons with Parkinson's disease and may contribute to the pathophysiology of the disorder. Early research suggests that the iron chelator deferiprone can reduce nigrostriatal iron content in persons with Parkinson's disease, but its effects on disease progression are unclear. METHODS: We conducted a multicenter, phase 2, randomized, double-blind trial involving participants with newly diagnosed Parkinson's disease who had never received levodopa. Participants were assigned (in a 1:1 ratio) to receive oral deferiprone at a dose of 15 mg per kilogram of body weight twice daily or matched placebo for 36 weeks. Dopaminergic therapy was withheld unless deemed necessary for symptom control. The primary outcome was the change in the total score on the Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS; range, 0 to 260, with higher scores indicating more severe impairment) at 36 weeks. Secondary and exploratory clinical outcomes at up to 40 weeks included measures of motor and nonmotor disability. Brain iron content measured with the use of magnetic resonance imaging was also an exploratory outcome. RESULTS: A total of 372 participants were enrolled; 186 were assigned to receive deferiprone and 186 to receive placebo. Progression of symptoms led to the initiation of dopaminergic therapy in 22.0% of the participants in the deferiprone group and 2.7% of those in the placebo group. The mean MDS-UPDRS total score at baseline was 34.3 in the deferiprone group and 33.2 in the placebo group and increased (worsened) by 15.6 points and 6.3 points, respectively (difference, 9.3 points; 95% confidence interval, 6.3 to 12.2; P

Published
2022

40. Association of cerebrospinal fluid α-synuclein with total and phospho-tau181 protein concentrations and brain amyloid load in cognitively normal subjective memory complainers stratified by Alzheimer's disease biomarkers

Author

Audrain, C., Auffret, A., Bakardjian, H., Baldacci, F., Batrancourt, B., Benakki, I., Benali, H., Bertin, H., Bertrand, A., Boukadida, L., Cacciamani, F., Causse, V., Cavedo, E., Cherif Touil, S., Chiesa, P.A., Colliot, O., Dalla Barba, G., Depaulis, M., Dos Santos, A., Dubois, B., Dubois, M., Epelbaum, S., Fontaine, B., Francisque, H., Gagliardi, G., Genin, A., Genthon, R., Glasman, P., Gombert, F., Habert, M.O., Hampel, H., Hewa, H., Houot, M., Jungalee, N., Kas, A., Kilani, M., La Corte, V., Le Roy, F., Lehericy, S., Letondor, C., Levy, M., Lista, S., Lowrey, M., Ly, J., Makiese, O., Masetti, I., Mendes, A., Metzinger, C., Michon, A., Mochel, F., Nait Arab, R., Nyasse, F., Perrin, C., Poirier, F., Poisson, C., Potier, M.C., Ratovohery, S., Revillon, M., Rojkova, K., Santos-Andrade, K., Schindler, R., Servera, M.C., Seux, L., Simon, V., Skovronsky, D., Thiebaut, M., Uspenskaya, O., Vlaincu, M., Aguilar, L.F., Babiloni, C., Benda, N., Black, K.L., Bokde, A.L.W., Bonuccelli, U., Broich, K., Bun, R.S., Cacciola, F., Castrillo, J., Ceravolo, R., Coman, C.M., Corvol, J.C., Cuello, A.C., Cummings, J.L., Depypere, H., Duggento, A., Durrleman, S., Escott-Price, V., Federoff, H., Ferretti, M.T., Fiandaca, M., Frank, R.A., Garaci, F., George, N., Giorgi, F.S., Graziani, M., Haberkamp, M., Herholz, K., Karran, E., Kim, S.H., Koronyo, Y., Koronyo-Hamaoui, M., Lamari, F., Langevin, T., Lehéricy, S., Lorenceau, J., Mapstone, M., Neri, C., Nisticò, R., Nyasse-Messene, F., O'Bryant, S.E., Perry, G., Ritchie, C., Rossi, S., Santarnecchi, E., Schneider, L.S., Sporns, O., Toschi, N., Verdooner, S.R., Vergallo, A., Villain, N., Welikovitch, L., Woodcock, J., Younesi, E., Vergallo, Andrea, Bun, René-Sosata, Toschi, Nicola, Baldacci, Filippo, Zetterberg, Henrik, Blennow, Kaj, Cavedo, Enrica, Lamari, Foudil, Habert, Marie-Odile, Dubois, Bruno, Floris, Roberto, Garaci, Francesco, Lista, Simone, and Hampel, Harald

Published
2018
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41. Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria.

Author

Dubois, Bruno, Feldman, Howard H, Jacova, Claudia, Hampel, Harald, Molinuevo, José Luis, Blennow, Kaj, DeKosky, Steven T, Gauthier, Serge, Selkoe, Dennis, Bateman, Randall, Cappa, Stefano, Crutch, Sebastian, Engelborghs, Sebastiaan, Frisoni, Giovanni B, Fox, Nick C, Galasko, Douglas, Habert, Marie-Odile, Jicha, Gregory A, Nordberg, Agneta, Pasquier, Florence, Rabinovici, Gil, Robert, Philippe, Rowe, Christopher, Salloway, Stephen, Sarazin, Marie, Epelbaum, Stéphane, de Souza, Leonardo C, Vellas, Bruno, Visser, Pieter J, Schneider, Lon, Stern, Yaakov, Scheltens, Philip, and Cummings, Jeffrey L

Subjects
Humans, Alzheimer Disease, Phenotype, International Cooperation, Societies, Medical, Practice Guidelines as Topic, Biomarkers, Societies, Medical, Biological Markers, Neurology & Neurosurgery, Clinical Sciences, Neurosciences
Abstract

In the past 8 years, both the International Working Group (IWG) and the US National Institute on Aging-Alzheimer's Association have contributed criteria for the diagnosis of Alzheimer's disease (AD) that better define clinical phenotypes and integrate biomarkers into the diagnostic process, covering the full staging of the disease. This Position Paper considers the strengths and limitations of the IWG research diagnostic criteria and proposes advances to improve the diagnostic framework. On the basis of these refinements, the diagnosis of AD can be simplified, requiring the presence of an appropriate clinical AD phenotype (typical or atypical) and a pathophysiological biomarker consistent with the presence of Alzheimer's pathology. We propose that downstream topographical biomarkers of the disease, such as volumetric MRI and fluorodeoxyglucose PET, might better serve in the measurement and monitoring of the course of disease. This paper also elaborates on the specific diagnostic criteria for atypical forms of AD, for mixed AD, and for the preclinical states of AD.

Published
2014

42. Cerebral Metabolic Signature of Chronic Benzodiazepine Use in Nondemented Older Adults: An FDG-PET Study in the MEMENTO Cohort

Author

Gallet, Quentin, primary, Bouteloup, Vincent, additional, Locatelli, Maxime, additional, Habert, Marie-Odile, additional, Chupin, Marie, additional, Campion, Jacques-Yves, additional, Michels, Pierre-Emmanuel, additional, Delrieu, Julien, additional, Lebouvier, Thibaud, additional, Balageas, Anna-Chloé, additional, Surget, Alexandre, additional, Belzung, Catherine, additional, Arlicot, Nicolas, additional, Ribeiro, Maria-Joao Santiago, additional, Gissot, Valérie, additional, El-Hage, Wissam, additional, Camus, Vincent, additional, Gohier, Bénédicte, additional, and Desmidt, Thomas, additional

Published
2023
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43. Individual Analysis of Molecular Brain Imaging Data Through Automatic Identification of Abnormality Patterns

Author

Burgos, Ninon, Samper-González, Jorge, Bertrand, Anne, Habert, Marie-Odile, Ourselin, Sébastien, Durrleman, Stanley, Cardoso, M. Jorge, Colliot, Olivier, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Cardoso, M. Jorge, editor, Arbel, Tal, editor, Gao, Fei, editor, Kainz, Bernhard, editor, van Walsum, Theo, editor, Shi, Kuangyu, editor, Bhatia, Kanwal K., editor, Peter, Roman, editor, Vercauteren, Tom, editor, Reyes, Mauricio, editor, Dalca, Adrian, editor, Wiest, Roland, editor, Niessen, Wiro, editor, and Emmer, Bart J., editor

Published
2017
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44. Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer’s Disease

Author

the Alzheimer’s Disease Neuroimaging Initiative, Samper-González, Jorge, Burgos, Ninon, Fontanella, Sabrina, Bertin, Hugo, Habert, Marie-Odile, Durrleman, Stanley, Evgeniou, Theodoros, Colliot, Olivier, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Wang, Qian, editor, Shi, Yinghuan, editor, Suk, Heung-Il, editor, and Suzuki, Kenji, editor

Published
2017
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45. Effect of Alzheimer's disease risk and protective factors on cognitive trajectories in subjective memory complainers: An INSIGHT-preAD study

Author

Audrain, C., Auffret, A., Bakardjian, H., Baldacci, F., Batrancourt, B., Benakki, I., Benali, H., Bertin, H., Bertrand, A., Boukadida, L., Cacciamani, F., Causse, V., Cavedo, E., Cherif Touil, S., Chiesa, P.A., Colliot, O., Dalla Barba, G., Depaulis, M., Dos Santos, A., Dubois, B., Dubois, M., Epelbaum, S., Fontaine, B., Francisque, H., Gagliardi, G., Genin, A., Genthon, R., Glasman, P., Gombert, F., Habert, M.O., Hampel, H., Hewa, H., Houot, M., Jungalee, N., Kas, A., Kilani, M., La Corte, V., Le Roy, F., Lehericy, S., Letondor, C., Levy, M., Lista, S., Lowrey, M., Ly, J., Makiese, O., Masetti, I., Mendes, A., Metzinger, C., Michon, A., Mochel, F., Nait Arab, R., Nyasse, F., Perrin, C., Poirier, F., Poisson, C., Potier, M.C., Ratovohery, S., Revillon, M., Rojkova, K., Santos-Andrade, K., Schindler, R., Servera, M.C., Seux, L., Simon, V., Skovronsky, D., Thiebaut, M., Uspenskaya, O., Vlaincu, M., Teipel, Stefan J., Cavedo, Enrica, Lista, Simone, Habert, Marie-Odile, Potier, Marie-Claude, Grothe, Michel J., Epelbaum, Stephane, Sambati, Luisa, Gagliardi, Geoffroy, Toschi, Nicola, Greicius, Michael D., Dubois, Bruno, and Hampel, Harald

Published
2018
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46. Sex differences in functional and molecular neuroimaging biomarkers of Alzheimer's disease in cognitively normal older adults with subjective memory complaints

Author

Bakardjian, Hovagim, Benali, Habib, Bertin, Hugo, Bonheur, Joel, Boukadida, Laurie, Boukerrou, Nadia, Cavedo, Enrica, Chiesa, Patrizia, Colliot, Olivier, Dubois, Bruno, Dubois, Marion, Epelbaum, Stéphane, Gagliardi, Geoffroy, Genthon, Remy, Habert, Marie-Odile, Hampel, Harald, Houot, Marion, Kas, Aurélie, Lamari, Foudil, Levy, Marcel, Lista, Simone, Metzinger, Christiane, Mochel, Fanny, Nyasse, Francis, Poisson, Catherine, Potier, Marie-Claude, Revillon, Marie, Santos, Antonio, Andrade, Katia Santos, Sole, Marine, Surtee, Mohmed, de Schotten, Michel Thiebaud, Vergallo, Andrea, Younsi, Nadjia, Aguilar, Lisi Flores, Babiloni, Claudio, Baldacci, Filippo, Benda, Norbert, Black, Keith L., Bokde, Arun L.W., Bonuccelli, Ubaldo, Broich, Karl, Bun, René S., Cacciola, Francesco, Castrillo, Juan, Ceravolo, Roberto, Chiesa, Patrizia A., Coman, Cristina-Maria, Corvol, Jean-Christophe, Cuello, Augusto Claudio, Cummings, Jeffrey L., Depypere, Herman, Duggento, Andrea, Durrleman, Stanley, Escott-Price, Valentina, Federoff, Howard, Ferretti, Maria Teresa, Fiandaca, Massimo, Frank, Richard A., Garaci, Francesco, George, Nathalie, Giorgi, Filippo S., Graziani, Manuela, Haberkamp, Marion, Herholz, Karl, Karran, Eric, Kim, Seung H., Koronyo, Yosef, Koronyo-Hamaoui, Maya, Langevin, Todd, Lehéricy, Stéphane, Lorenceau, Jean, Mapstone, Mark, Neri, Christian, Nisticò, Robert, Nyasse-Messene, Francis, O'bryant, Sid E., Perry, George, Ritchie, Craig, Rojkova, Katrine, Rossi, Simone, Saidi, Amira, Santarnecchi, Emiliano, Schneider, Lon S., Sporns, Olaf, Toschi, Nicola, Verdooner, Steven R., Villain, Nicolas, Welikovitch, Lindsay A., Woodcock, Janet, Younesi, Erfan, Grothe, Michel J., and Teipel, Stefan J.

Published
2018
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47. Cognitive and neuroimaging features and brain β-amyloidosis in individuals at risk of Alzheimer's disease (INSIGHT-preAD): a longitudinal observational study

Author

Audrain, Christelle, Auffret, Alexandra, Baldacci, Filippo, Benakki, Ismahane, Bertin, Hugo, Boukadida, Laurie, Cavedo, Enrica, Chiesa, Patrizia, Dauphinot, Luce, Dos Santos, Antonio, Dubois, Marion, Durrleman, Stanley, Fontaine, Gaëlle, Genin, Alexis, Glasman, Pauline, Jungalee, Navichka, Kas, Aurélie, Kilani, Maya, La Corte, Valentina, Lehericy, Stephane, Letondor, Claire, Levy, Marcel, Lowrey, Mark, Ly, Juliette, Makiese, Ornella, Metzinger, Christiane, Michon, Agnès, Mochel, Fanny, Poisson, Catherine, Ratovohery, Stephie, Revillon, Marie, Rojkova, Katrine, Roy, Perrine, Santos-Andrade, Katia, Schindler, Rachel, Seux, Laure, Simon, Valérie, Sole, Marine, Tandetnik, Caroline, Teichmann, Marc, Thiebaut de Shotten, Michel, Younsi, Nadjia, Dubois, Bruno, Epelbaum, Stephane, Nyasse, Francis, Bakardjian, Hovagim, Gagliardi, Geoffroy, Uspenskaya, Olga, Houot, Marion, Lista, Simone, Cacciamani, Federica, Potier, Marie-Claude, Bertrand, Anne, Lamari, Foudil, Benali, Habib, Mangin, Jean-François, Colliot, Olivier, Genthon, Remy, Habert, Marie-Odile, and Hampel, Harald

Published
2018
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48. Added value of 18F-florbetaben amyloid PET in the diagnostic workup of most complex patients with dementia in France: A naturalistic study

Author

Ceccaldi, Mathieu, Guedj, Eric, Felician, Olivier, Didic, Mira, Gueriot, Claude, Koric, Lejla, Kletchkova-Gantchev, Radka, Godefroy, Olivier, Andriuta, Daniela, Devendeville, Agnès, Dupuis, Diane, Binot, Ingrid, Barbay, Mélanie, Meyer, Marc-Etienne, Moullard, Véronique, Magnin, Eloi, Chamard, Ludivine, Haffen, Sophie, Morel, Olivier, Drouet, Clément, Boulahdour, Hatem, Goas, Philippe, Querellou-Lefranc, Solène, de la Sayette, Vincent, Cogez, Julien, Branger, Pierre, Agostini, Denis, Manrique, Alain, Rouaud, Olivier, Bejot, Yannick, Jacquin-Piques, Agnès, Dygai-Cochet, Inna, Berriolo-Riedinger, Alina, Moreaud, Olivier, Sauvee, Mathilde, Crépin, Céline Gallazzani, Pasquier, Florence, Bombois, Stéphanie, Lebouvier, Thibaud, Mackowiak-Cordoliani, Marie-Anne, Deramecourt, Vincent, Rollin-Sillaire, Adeline, Cassagnaud-Thuillet, Pascaline, Chen, Yaohua, Semah, Franck, Petyt, Grégory, Krolak-Salmon, Pierre, Federico, Denis, Danaila, Keren Liora, Guilhermet, Yves, Magnier, Christophe, Makaroff, Zaza, Rouch, Isabelle, Xie, Jing, Roubaud, Caroline, Coste, Marie-Hélène, David, Kenny, Sarciron, Alain, Waissi, Aziza Sediq, Scheiber, Christian, Houzard, Claire, Gabelle-Deloustal, Audrey, Bennys, Karim, Marelli, Cecilia, Touati, Lynda, Mariano-Goulart, Denis, de Verbizier-Lonjon, Delphine, Jonveaux, Thérèse, Benetos, Athanase, Kearney-Schwartz, Anna, Perret-Guillaume, Christine, Verger, Antoine, Vercelletto, Martine, Boutoleau-Bretonniere, Claire, Pouclet-Courtemanche, Hélène, Wagemann, Nathalie, Pallardy, Amandine, Hugon, Jacques, Paquet, Claire, Dumurgier, Julien, Millet, Pascal, Queneau, Mathieu, Dubois, Bruno, Epelbaum, Stéphane, Levy, Marcel, Habert, Marie-Odile, Novella, Jean-Luc, Jaidi, Yacine, Papathanassiou, Dimitri, Morland, David, Belliard, Serge, Salmon, Anne, Lejeune, Florence, Hannequin, Didier, Wallon, David, Martinaud, Olivier, Zarea, Aline, Chastan, Mathieu, Pariente, Jérémie, Thalamas, Claire, Galitzky-Gerber, Monique, Tricoire Ricard, Anne-Marie, Calvas, Fabienne, Rigal, Emilie, Payoux, Pierre, Hitzel, Anne, Delrieu, Julien, Ousset, Pierre-Jean, Lala, Françoise, Sastre-Hengan, Nathalie, Shields, Trevor, Perrotin, Audrey, Gismondi, Rossella, Bullich, Santiago, Jovalekic, Aleksandar, Raffa, Nicola, and Stephens, Andrew

Published
2018
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49. Cortical amyloid accumulation is associated with alterations of structural integrity in older people with subjective memory complaints

Author

Christelle, Audrain, Hugo, Bertin, Laurie, Boukadida, Federica, Cacciamani, Enrica, Cavedo, Patrizia, Chiesa A., Stanley, Durrleman, Stephane, Epelbaum, Geoffroy, Gagliardi, Remy, Genthon, Pailine, Glasman, Aurelie, Kas, Marcel, Levy, Simone, Lista, Christiane, Metzinger, Francis, Nyasse, Catherine, Poisson, Stephie, Ratovohery, Marie, Revillon, Katrine, Rojkova, Perrine, Roy, Katia, Santos Andrade, Antonio, Santos, Valérie, Simon, Marine, Sole, Caroline, Tandetnik, Bruno, Dubois, Harald, Hampel, Hovagim, Bakardjian, Habib, Benali, Olivier, Colliot, Marie-Odile, Habert, Foudil, Lamari, Fanny, Mochel, Marie-Claude, Potier, de Schotten Michel, Thiebaud, Teipel, Stefan J., Cavedo, Enrica, Weschke, Sarah, Grothe, Michel J., Rojkova, Katrine, Fontaine, Gaëlle, Dauphinot, Luce, Gonzalez-Escamilla, Gabriel, Potier, Marie-Claude, Bertin, Hugo, Habert, Marie-Odile, Dubois, Bruno, and Hampel, Harald

Published
2017
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