9 results on '"Mataró, Maria"'
Search Results
2. A large, curated, open-source stroke neuroimaging dataset to improve lesion segmentation algorithms.
- Author
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Liew SL, Lo BP, Donnelly MR, Zavaliangos-Petropulu A, Jeong JN, Barisano G, Hutton A, Simon JP, Juliano JM, Suri A, Wang Z, Abdullah A, Kim J, Ard T, Banaj N, Borich MR, Boyd LA, Brodtmann A, Buetefisch CM, Cao L, Cassidy JM, Ciullo V, Conforto AB, Cramer SC, Dacosta-Aguayo R, de la Rosa E, Domin M, Dula AN, Feng W, Franco AR, Geranmayeh F, Gramfort A, Gregory CM, Hanlon CA, Hordacre BG, Kautz SA, Khlif MS, Kim H, Kirschke JS, Liu J, Lotze M, MacIntosh BJ, Mataró M, Mohamed FB, Nordvik JE, Park G, Pienta A, Piras F, Redman SM, Revill KP, Reyes M, Robertson AD, Seo NJ, Soekadar SR, Spalletta G, Sweet A, Telenczuk M, Thielman G, Westlye LT, Winstein CJ, Wittenberg GF, Wong KA, and Yu C
- Subjects
- Algorithms, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Neuroimaging, Brain diagnostic imaging, Brain pathology, Stroke diagnostic imaging, Stroke pathology
- Abstract
Accurate lesion segmentation is critical in stroke rehabilitation research for the quantification of lesion burden and accurate image processing. Current automated lesion segmentation methods for T1-weighted (T1w) MRIs, commonly used in stroke research, lack accuracy and reliability. Manual segmentation remains the gold standard, but it is time-consuming, subjective, and requires neuroanatomical expertise. We previously released an open-source dataset of stroke T1w MRIs and manually-segmented lesion masks (ATLAS v1.2, N = 304) to encourage the development of better algorithms. However, many methods developed with ATLAS v1.2 report low accuracy, are not publicly accessible or are improperly validated, limiting their utility to the field. Here we present ATLAS v2.0 (N = 1271), a larger dataset of T1w MRIs and manually segmented lesion masks that includes training (n = 655), test (hidden masks, n = 300), and generalizability (hidden MRIs and masks, n = 316) datasets. Algorithm development using this larger sample should lead to more robust solutions; the hidden datasets allow for unbiased performance evaluation via segmentation challenges. We anticipate that ATLAS v2.0 will lead to improved algorithms, facilitating large-scale stroke research., (© 2022. The Author(s).)
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- 2022
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3. Cardiovascular risk and white matter lesions after endocrine control of Cushing's syndrome.
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Santos A, Resmini E, Gómez-Ansón B, Crespo I, Granell E, Valassi E, Pires P, Vives-Gilabert Y, Martínez-Momblán MA, de Juan M, Mataró M, and Webb SM
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- Adult, Blood Pressure, Cardiovascular Diseases epidemiology, Cardiovascular Diseases physiopathology, Case-Control Studies, Cholesterol, HDL blood, Cognition, Cognition Disorders psychology, Cushing Syndrome psychology, Cushing Syndrome surgery, Diabetes Mellitus epidemiology, Female, Humans, Hypertension epidemiology, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Organ Size, Remission Induction, Risk Factors, Smoking epidemiology, ACTH-Secreting Pituitary Adenoma surgery, Adenoma surgery, Brain pathology, Cardiovascular Diseases metabolism, Cognition Disorders pathology, Cushing Syndrome pathology, White Matter pathology
- Abstract
Objective: Cushing's syndrome (CS) is associated with high cardiovascular risk. White matter lesions (WML) are common on brain magnetic resonance imaging (MRI) in patients with increased cardiovascular risk., Aim: To investigate the relationship between cardiovascular risk, WML, neuropsychological performance and brain volume in CS., Design/methods: Thirty-eight patients with CS (23 in remission, 15 active) and 38 controls sex-, age- and education-level matched underwent a neuropsychological and clinical evaluation, blood and urine tests and 3Tesla brain MRI. WML were analysed with the Scheltens scale. Ten-year cardiovascular risk (10CVR) and vascular age (VA) were calculated according to an algorithm based on the Framingham heart study., Results: Patients in remission had a higher degree of WML than controls and active patients (P<0.001 and P=0.008 respectively), which did not correlate with cognitive performance in any group. WML severity positively correlated with diastolic blood pressure (r=0.659, P=0.001) and duration of hypertension (r=0.478, P=0.021) in patients in remission. Both patient groups (active and in remission) had higher 10CVR (P=0.030, P=0.041) and VA than controls (P=0.013, P=0.039). Neither the 10CVR nor the VA correlated with WML, although both negatively correlated with cognitive function and brain volume in patients in remission (P<0.05). Total brain volume and grey matter volume in both CS patient groups were reduced compared to controls (total volume: active P=0.006, in remission P=0.012; grey matter: active P=0.001, in remission P=0.003), with no differences in white matter volume between groups., Conclusions: Patients in remission of Cushing's syndrome (but not active patients) have more severe white matter lesions than controls, positively correlated with diastolic pressure and duration of hypertension. Ten-year cardiovascular risk and vascular age appear to be negatively correlated with the cognitive function and brain volume in patients in remission of Cushing's syndrome., (© 2015 European Society of Endocrinology.)
- Published
- 2015
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4. Impairment of functional integration of the default mode network correlates with cognitive outcome at three months after stroke.
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Dacosta-Aguayo R, Graña M, Iturria-Medina Y, Fernández-Andújar M, López-Cancio E, Cáceres C, Bargalló N, Barrios M, Clemente I, Toran P, Forés R, Dávalos A, Auer T, and Mataró M
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- Adult, Aged, Brain Mapping, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neural Pathways physiopathology, Neuropsychological Tests, Rest, Signal Processing, Computer-Assisted, Brain physiopathology, Brain Ischemia physiopathology, Brain Ischemia psychology, Stroke physiopathology, Stroke psychology
- Abstract
Resting-state studies conducted with stroke patients are scarce. The study of brain activity and connectivity at rest provides a unique opportunity for the investigation of brain rewiring after stroke and plasticity changes. This study sought to identify dynamic changes in the functional organization of the default mode network (DMN) of stroke patients at three months after stroke. Eleven patients (eight male and three female; age range: 48-72) with right cortical and subcortical ischemic infarctions and 17 controls (eleven males and six females; age range: 57-69) were assessed by neurological and neuropsychological examinations and scanned with resting-state functional magnetic ressonance imaging. First, we explored group differences in functional activity within the DMN by means of probabilistic independent component analysis followed by a dual regression approach. Second, we estimated functional connectivity between 11 DMN nodes both locally by means of seed-based connectivity analysis, as well as globally by means of graph-computation analysis. We found that patients had greater DMN activity in the left precuneus and the left anterior cingulate gyrus when compared with healthy controls (P < 0.05 family-wise error corrected). Seed-based connectivity analysis showed that stroke patients had significant impairment (P = 0.014; threshold = 2.00) in the connectivity between the following five DMN nodes: left superior frontal gyrus (lSFG) and posterior cingulate cortex (t = 2.01); left parahippocampal gyrus and right superior frontal gyrus (t = 2.11); left parahippocampal gyrus and lSFG (t = 2.39); right parietal and lSFG (t = 2.29). Finally, mean path length obtained from graph-computation analysis showed positive correlations with semantic fluency test (r(s) = 0.454; P = 0.023), phonetic fluency test (r(s) = 0.523; P = 0.007) and the mini mental state examination (r(s) = 0.528; P = 0.007). In conclusion, the ability to regulate activity of the DMN appears to be a central part of normal brain function in stroke patients. Our study expands the understanding of the changes occurring in the brain after stroke providing a new avenue for investigating lesion-induced network plasticity., (© 2014 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.)
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- 2015
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5. Tract-specific fractional anisotropy predicts cognitive outcome in a community sample of middle-aged participants with white matter lesions.
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Soriano-Raya JJ, Miralbell J, López-Cancio E, Bargalló N, Arenillas JF, Barrios M, Cáceres C, Toran P, Alzamora M, Dávalos A, and Mataró M
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- Brain physiopathology, Cognition Disorders diagnosis, Diffusion Tensor Imaging, Female, Humans, Leukoencephalopathies physiopathology, Male, Middle Aged, Neuroimaging, Prognosis, Brain pathology, Cognition Disorders etiology, Leukoencephalopathies complications, Leukoencephalopathies pathology
- Abstract
Cerebral white matter lesions (WMLs) have been consistently related to cognitive dysfunction but the role of white matter (WM) damage in cognitive impairment is not fully determined. Diffusion tensor imaging is a promising tool to explain impaired cognition related to WMLs. We investigated the separate association of high-grade periventricular hyperintensities (PVHs) and deep white matter hyperintensities (DWMHs) with fractional anisotropy (FA) in middle-aged individuals. We also assessed the predictive value to cognition of FA within specific WM tracts associated with high-grade WMLs. One hundred participants from the Barcelona-AsIA Neuropsychology Study were divided into groups based on low- and high-grade WMLs. Voxel-by-voxel FA were compared between groups, with separate analyses for high-grade PVHs and DWMHs. The mean FA within areas showing differences between groups was extracted in each tract for linear regression analyses. Participants with high-grade PVHs and participants with high-grade DWMHs showed lower FA in different areas of specific tracts. Areas showing decreased FA in high-grade DWMHs predicted lower cognition, whereas areas with decreased FA in high-grade PVHs did not. The predictive value to cognition of specific WM tracts supports the involvement of cortico-subcortical circuits in cognitive deficits only in DWMHs.
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- 2014
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6. Structural brain changes and cognition in relation to markers of vascular dysfunction.
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Miralbell J, Soriano JJ, Spulber G, López-Cancio E, Arenillas JF, Bargalló N, Galán A, Barrios MT, Cáceres C, Alzamora MT, Pera G, Kivipelto M, Wahlund LO, Dávalos A, and Mataró M
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- Aged, Aging blood, Aging pathology, Brain blood supply, Brain physiopathology, Cerebral Arteries physiopathology, Cerebrovascular Disorders epidemiology, Cognition Disorders epidemiology, Comorbidity trends, Female, Humans, Male, Middle Aged, Nerve Fibers, Myelinated pathology, Predictive Value of Tests, Psychomotor Performance physiology, Brain pathology, Cerebrovascular Disorders blood, Cerebrovascular Disorders physiopathology, Cognition Disorders blood, Cognition Disorders pathology
- Abstract
The aim was to investigate the relationship between blood markers of vascular dysfunction with brain microstructural changes and cognition. Eighty-six participants from the Barcelona-Asymptomatic Intracranial Atherosclerosis (AsIA) neuropsychology study were included. Subjects were 50-65 years old, free from dementia and without history of vascular disease. We assessed correlations of blood levels of inflammatory biomarkers (C-reactive protein [CRP] and resistin) and fibrinolysis inhibitors (plasminogen activator inhibitor-1 [PAI-1] and A-lipoprotein (Lp (a)) with fractional anisotropy (FA) measurements of diffusion tensor images (DTI), regional gray matter (GM) volumes and performance in several cognitive domains. Increasing levels of C-reactive protein and PAI-1 levels were associated with white matter (WM) integrity loss in corticosubcortical pathways and association fibers of frontal and temporal lobes, independently of age, sex and vascular risk factors. PAI-1 was also related to lower speed and visuomotor/coordination. None of the biomarkers were related to gray matter volume changes. Our findings suggest that inflammation and dysregulation of the fibrynolitic system may be involved in the pathological mechanisms underlying the WM damage seen in cerebrovascular disease and subsequent cognitive impairment., (Copyright © 2012 Elsevier Inc. All rights reserved.)
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- 2012
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7. Grey matter and cognitive patterns in cognitive impaired subjects using CSF biomarker cut-offs.
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Miralbell J, Spulber G, Hooshmand B, Besga A, Mataró M, Cedazo-Minguez A, Kivipelto M, and Wahlund LO
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- Alzheimer Disease cerebrospinal fluid, Alzheimer Disease genetics, Alzheimer Disease pathology, Apolipoproteins E genetics, Biomarkers cerebrospinal fluid, Brain Mapping, Cognition Disorders genetics, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Mental Status Schedule, Amyloid beta-Peptides cerebrospinal fluid, Brain pathology, Cognition Disorders cerebrospinal fluid, Cognition Disorders pathology, Peptide Fragments cerebrospinal fluid, tau Proteins cerebrospinal fluid
- Abstract
The aim of this study was to investigate brain tissue volumes, grey matter (GM) distribution, and cognitive performance for cognitively impaired subjects using cerebrospinal fluid (CSF) biomarker cut-offs as grouping criteria. 41 subjects attending the Memory Clinic, Karolinska University Hospital, Huddinge, Sweden, were divided into groups based on normal or abnormal CSF levels of Aβ1-42, t-tau, and p-tau181. SIENAX algorithms were employed for brain tissue volumes estimation and voxel-based morphometry (VBM) for mapping the differences in GM patterns. VBM revealed significant lower GM volumes in temporo-parietal, occipital, and prefrontal cortices for those subjects belonging to abnormal CSF t-tau and p-tau181 groups. No differences were found between groups according to CSF Aβ1-42 cut-offs. Patients with abnormal CSF p-tau181 showed lower cognitive performance compared to those with normal levels. Patients with abnormal levels of CSF tau (but not Aβ1-42) showed an Alzheimer's disease-like pattern for both GM distribution and cognitive profile, compared to those with normal levels. These results support the hypothesis that CSF t-tau or p-tau181 levels may be of direct value for the evaluation of disease severity.
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- 2012
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8. Postsurgical cerebral perfusion changes in idiopathic normal pressure hydrocephalus: a statistical parametric mapping study of SPECT images.
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Mataró M, Poca MA, Salgado-Pineda P, Castell-Conesa J, Sahuquillo J, Díez-Castro MJ, Aguadé-Bruix S, Vendrell P, del Mar Matarín M, and Junqué C
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- Aged, Aged, 80 and over, Algorithms, Female, Humans, Male, Middle Aged, Models, Statistical, Postoperative Period, Radiopharmaceuticals, Treatment Outcome, Brain blood supply, Brain diagnostic imaging, Cerebrovascular Circulation, Hydrocephalus, Normal Pressure diagnostic imaging, Hydrocephalus, Normal Pressure surgery, Image Interpretation, Computer-Assisted methods, Technetium Tc 99m Exametazime, Tomography, Emission-Computed, Single-Photon methods
- Abstract
Unlabelled: Our goal was to study cerebral blood flow (CBF) changes after surgery in a group of 15 patients with idiopathic normal pressure hydrocephalus (NPH)., Methods: We used hexamethylpropyleneamine oxime SPECT and statistical parametric mapping (SPM), an image analysis method that does not require prior selection of regions of interest., Results: Our study showed areas of significant increase in perfusion in specific regions of both frontal lobes and the right parietal lobe. Regions of increased perfusion were found in the left prefrontal dorsolateral areas (Brodmann's areas 9 and 45 or 47), right frontal premotor area (Brodmann's area 44), right medial prefrontal region (Brodmann's area 10 or 32), right frontal white matter area (superior longitudinalis fasciculus), and right basal ganglia (lenticular nucleus, putamen, and globus pallidus). In the right hemisphere, another region of increased perfusion was found in the inferior parietal lobule (Brodmann's area 40). The 2 areas most related to clinical improvement were Brodmann's area 32 and the frontal part of the left lobule of Reil insula., Conclusion: The results obtained with the SPM method of image analysis confirm and expand on previous CBF literature in NPH, with specific CBF regions located in frontal and parietal areas that improve after surgery in idiopathic NPH.
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- 2003
9. Hippocampal head atrophy after traumatic brain injury
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Ariza, Mar, Serra-Grabulosa, Josep M., Junqué, Carme, Ramírez, Blanca, Mataró, Maria, Poca, Antonia, Bargalló, Nuria, and Sahuquillo, Juan
- Subjects
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HUMAN biology , *BRAIN , *HEALTH , *LIFE sciences - Abstract
Abstract: Traumatic brain injury (TBI) causes hippocampal damage. The hippocampus can be macroscopically divided into the head, body and tail, which differ in terms of their sensitivity to excitability and also in terms of their cortical connections. We investigated whether damage also varies according to the hippocampal area involved, and studied the relationship of hippocampal reductions with memory performance. Twenty TBI patients and matched controls were examined. MRI measurements were performed separately for the hippocampal head, body and tail. Memory outcome was measured by Rey''s auditory verbal learning test, Rey''s complex figure test and a modified version of Warrington''s facial recognition memory test. Group comparison showed that patients had bilateral hippocampal atrophy, mainly involving the hippocampal head. Moreover, TBI subjects showed verbal memory deficits which presented slight correlations with left hippocampal head atrophy. [Copyright &y& Elsevier]
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- 2006
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