A5048671908- Dementia and Cognitive Impairment Research
- Alzheimer's disease research and treatments
- Functional Brain Connectivity Studies
- Neurological Disease Mechanisms and Treatments
- Parkinson's Disease Mechanisms and Treatments
- Amyotrophic Lateral Sclerosis Research
- Advanced MRI Techniques and Applications
- Advanced Neuroimaging Techniques and Applications
- Neurological disorders and treatments
- Biomedical Text Mining and Ontologies
- Epilepsy research and treatment
- Medical Imaging Techniques and Applications
- Advanced X-ray and CT Imaging
- Cell Image Analysis Techniques
- Acute Ischemic Stroke Management
- Neurological diseases and metabolism
- Digital Radiography and Breast Imaging
- Genetic Neurodegenerative Diseases
- Brain Tumor Detection and Classification
- Cerebrovascular and Carotid Artery Diseases
- Moyamoya disease diagnosis and treatment
Montreal Neurological Institute and Hospital
2019-2024
McGill University
2019-2024
McGill University Health Centre
2021-2022
Favaloro Foundation
2018
Abstract Accurate anatomical atlases are recognized as important tools in brain-imaging research. They widely used to estimate disease-specific changes and therefore, of great relevance extracting regional information on volumetric variations clinical cohorts comparison healthy populations. The use high spatial resolution magnetic resonance imaging the improvement data preprocessing methods have enabled study structural volume a wide range disorders, particularly neurodegenerative diseases...
Connections among brain regions allow pathological perturbations to spread from a single source region multiple regions. Patterns of neurodegeneration in diseases, including behavioural variant frontotemporal dementia (bvFTD), resemble the large-scale functional systems, but how bvFTD-related atrophy patterns relate structural network organization remains unknown. Here we investigate whether sporadic and genetic bvFTD are conditioned by connectome architecture. Regional were estimated both...
To objectively quantify how cerebral volume loss could assist with clinical diagnosis and trial design in the behavioural variant of frontotemporal dementia (bvFTD). We applied deformation-based morphometric analyses robust registration to precisely magnitude pattern atrophy patients bvFTD as compared cognitively normal controls (CNCs), assess progression over one year follow up generate sample size estimates detect differences for structures most sensitive change. This study included 203...
Abstract Amyotrophic lateral sclerosis is a neurodegenerative disease characterized by preferential involvement of both upper and lower motor neurons. Evidence from neuroimaging post-mortem studies confirms additional brain regions extending beyond the cortex. The aim this study was to assess extent cerebral in amyotrophic cross-sectionally longitudinally compare findings with recently proposed disease-staging model pathology. Deformation-based morphometry used identify patterns atrophy...
Previous studies have reported misdiagnosis rates of nondegenerative primary psychiatric disorders up to 50% among patients with behavioral variant frontotemporal dementia (bvFTD). The authors hypothesized that decreased over time because an increased awareness and a better understanding prodromes FTD. Retrospective data on past trajectories individuals probable or definite bvFTD (N=609) were acquired from 12 sites the Neuropsychiatric International Consortium Symptom profiles, disorder...
Lateral ventricles are reliable and sensitive indicators of brain atrophy disease progression in behavioral variant frontotemporal dementia (bvFTD). We aimed to investigate whether an automated tool using ventricular features could improve diagnostic accuracy bvFTD across neurodegenerative diseases. Using 678 subjects −69 bvFTD, 38 semantic variant, 37 primary non-fluent aphasia, 218 amyloid + mild cognitive impairment, 74 Alzheimer's Dementia 242 normal controls- with a total 2750...
Introduction Structural brain imaging is paramount for the diagnosis of behavioural variant frontotemporal dementia (bvFTD), but it has low sensitivity leading to erroneous or late diagnosis. Methods A total 515 subjects from two different bvFTD cohorts (training and independent validation cohorts) were used perform voxel-wise morphometric analysis identify regions with significant differences between controls. random forest classifier was individually predict deformation-based morphometry...
Abstract Standard templates are widely used in human neuroimaging processing pipelines to facilitate group-level analyses and comparisons across subjects/populations. MNI-ICBM152 template is the most commonly standard template, representing an average of 152 healthy young adult brains. However, patients with neurodegenerative diseases such as frontotemporal dementia (FTD), high atrophy levels lead significant differences between individuals’ brain shapes template. Such might inevitably...
Abstract Accurate anatomical atlases are recognized as important tools in brain-imaging research. They widely used to estimate disease-specific changes and therefore, of great relevance extracting regional information on volumetric variations clinical cohorts comparison healthy populations. The use high spatial resolution magnetic resonance imaging the improvement data preprocessing methods have enabled study structural volume a wide range disorders, particularly neurodegenerative diseases...
Abstract Connections among brain regions allow pathological perturbations to spread from a single source region multiple regions. Patterns of neurodegeneration in diseases, including behavioral variant frontotemporal dementia (bvFTD), resemble the large-scale functional systems, but how bvFTD-related atrophy patterns relate structural network organization remains unknown. Here we investigate whether sporadic and genetic bvFTD are conditioned by connectome architecture. Regional were...
Abstract Standard anatomical templates are widely used in human neuroimaging processing pipelines to facilitate group level analyses and comparisons across different subjects populations. The MNI-ICBM152 template is the most commonly standard template, representing an average of 152 healthy young adult brains. However, patients with neurodegenerative diseases such as frontotemporal dementia (FTD), high levels atrophy lead significant differences between brain shape individuals template. Such...
Abstract The volume of the lateral ventricles is a reliable and sensitive indicator brain atrophy disease progression in behavioural variant frontotemporal dementia. In this study, we validate our previously developed automated tool using ventricular features (known as VentRa) for classification dementia versus mixed cohort neurodegenerative, vascular psychiatric disorders from clinically representative independent dataset. Lateral were segmented 1110 subjects—14 dementia, 30 other 70 Lewy...
Quality control (QC) is an important part of all scientific analyses, including neuroscience. With manual curation considered the gold standard, there remains a lack available tools that make neuroimaging QC accessible, fast, and easy. In this article we present Qrater, containerized web-based Python application enables viewing rating any type image for purposes. Qrater functionalities allow collaboration between various raters on same dataset which can facilitate completing large tasks. was...
Abstract Background Frontotemporal dementia (FTD) is a progressive neurodegenerative disorder associated with atrophy of the frontal and/or anterior temporal lobes, it highly heterogeneous and represents about 5% all cases one most common causes early‐onset (Onyike Diehl‐Schmid, 2013). FTD syndromes can be divided into three major groups: behavioral variant (bvFTD) characterised by prominent early personality changes, two language variants: semantic (svFTD) non‐fluent primary aphasia...
ABSTRACT Objective To objectively quantify how cerebral volume loss could assist with clinical diagnosis and trial design in the behavioural variant of frontotemporal dementia (bvFTD). Methods We applied deformation-based morphometric analyses robust registration to precisely magnitude pattern atrophy patients bvFTD as compared cognitively normal controls (CNCs), assess progression over one year follow up generate sample size estimates detect differences for structures most sensitive change....
Abstract INTRODUCTION Brain structural imaging is paramount for the diagnosis of behavioral variant frontotemporal dementia (bvFTD), but it has low sensitivity leading to erroneous or late diagnosis. METHODS A total 515 subjects from two different bvFTD databases (training and validation cohorts) were included perform voxel-wise deformation-based morphometry analysis identify regions with significant differences between controls. random forest classifier was used individually predict...
Abstract Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease characterized by preferential involvement of both upper and lower motor neurons. Evidence from neuroimaging post-mortem studies confirms additional brain regions extending beyond the cortex. The aim this study was to assess extent cerebral in ALS cross-sectionally longitudinally, compare findings with recently proposed disease-staging model pathology. Deformation-based morphometry (DBM) used identify patterns atrophy...
Abstract Quality control (QC) is an important part of all scientific analysis, including neuroscience. With manual curation considered the gold standard, there remains a lack available tools that make neuroimaging QC accessible, fast, and easy. In this article we present Qrater, containerized web-based python application enables viewing rating previously generated images. A group raters with varying amounts experience in evaluated Qrater three different tasks: MRI raw acquisition (10,196...
Abstract Introduction White matter hyperintensities (WMHs) as seen on T2w and FLAIR scans represent small-vessel disease related changes in the brain. WMHs are associated with cognitive decline normal aging population general more specifically patients neurodegenerative diseases. In this study, we assessed different spatial patterns relationships between grey (GM) atrophy aging, individuals mild impairment (MCI), Alzheimer’s dementia (AD), fronto-temporal (FTD), de novo Parkinson’s (PD)....
Cognitive reserve is a factor that can modify the clinical expression of different degenerative diseases (Stern, 2012). Some studies have shown older who engage in mental activities better overall functioning (Aguirre et al., 2013). However few those controlled their results according to level previous intellectual function and degree initial cognitive between other variables. The aim present study analyze impact Training Group (CTG)in adults controlling age, year formal education,...
Cerebral atrophy has the potential to be a diagnostic biomarker of behavioural variant frontotemporal dementia (bvFTD), but current imaging methods are limited when detecting subtle early-disease changes. Using deformation-based morphometry (DBM) and relying on robust registration methods, we aimed precisely measure changes in pattern patients with bvFTD compared cognitively normal controls (CN) develop data-driven MRI biomarker. T1-weighted magnetic resonance scans from 70 (152 timepoints)...
White matter hyperintensities (WMHs) are areas of increased signal on FLAIR images which indicate the presence small-vessel disease in brain. They associated with cognitive deficits aging as well Alzheimer's disease. We investigated differences WMH burden between variants frontotemporal dementia (i.e. behavioral, semantic, and progressive non-fluent aphasia abbreviated bv-FTD, sv-FTD, pnfa-FTD) their relation to decline. Longitudinal imaging/clinical data were obtained from lobar...