A5083632563- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Mental Health Research Topics
- Advanced MRI Techniques and Applications
- Neural dynamics and brain function
- Memory and Neural Mechanisms
- Neonatal and fetal brain pathology
- Autism Spectrum Disorder Research
- Fetal and Pediatric Neurological Disorders
- EEG and Brain-Computer Interfaces
- Epilepsy research and treatment
- Neuroscience and Neuropharmacology Research
- Dementia and Cognitive Impairment Research
- Mind wandering and attention
- Sleep and related disorders
- Advanced Causal Inference Techniques
- Face Recognition and Perception
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Psychosomatic Disorders and Their Treatments
- Memory Processes and Influences
- Cerebrovascular and Carotid Artery Diseases
- Sleep and Wakefulness Research
- Child and Adolescent Psychosocial and Emotional Development
- Cell Image Analysis Techniques
- Schizophrenia research and treatment
McGill University
2021-2025
Montreal Neurological Institute and Hospital
2021-2025
McGill Genome Centre
2024
National University of Singapore
2018-2024
University of Geneva
2014-2021
A*STAR-NUS Clinical Imaging Research Centre
2019
University Hospital of Geneva
2015-2016
National Hospital for Neurology and Neurosurgery
2011-2015
University College London
2011-2015
Geneva College
2014
BackgroundThere is considerable interest in a dimensional transdiagnostic approach to psychiatry. Most studies have derived factors based only on clinical symptoms, which might miss possible links between psychopathology, cognitive processes, and personality traits. Furthermore, many psychiatric focus higher-order association brain networks, thereby neglecting the potential influence of huge swaths brain.MethodsA multivariate data-driven (partial least squares) was used identify latent...
Abstract How individual differences in brain network organization track behavioral variability is a fundamental question systems neuroscience. Recent work suggests that resting-state and task-state functional connectivity can predict specific traits at the level. However, most studies focus on single traits, thus not capturing broader relationships across behaviors. In large sample of 1858 typically developing children from Adolescent Brain Cognitive Development (ABCD) study, we show...
Abstract Emotion dysregulation is central to the development and maintenance of psychopathology, common across many psychiatric disorders. Neurobiological models emotion involve fronto-limbic brain network, including in particular amygdala prefrontal cortex (PFC). Neural variability has recently been suggested as an index cognitive flexibility. We hypothesized that within-subject neural network would be related inter-individual variation context low affective control. In a multi-site cohort...
Brain imaging research enjoys increasing adoption of supervised machine learning for single-participant disease classification. Yet, the success these algorithms likely depends on population diversity, including demographic differences and other factors that may be outside primary scientific interest. Here, we capitalize propensity scores as a composite confound index to quantify diversity due major sources variation. We delineate impact heterogeneity predictive accuracy pattern stability in...
It is increasingly recognized that multiple psychiatric conditions are underpinned by shared neural pathways, affecting similar brain systems. Here, we carried out a multiscale contextualization of alterations cortical morphology across six major (autism spectrum disorder, attention deficit/hyperactivity depression obsessive-compulsive bipolar and schizophrenia). Our framework cross-referenced morphological anomalies with respect to myeloarchitecture cytoarchitecture, as well connectome...
Multimodal neuroimaging, in particular magnetic resonance imaging (MRI), allows for non-invasive examination of human brain structure and function across multiple scales. Precision neuroimaging builds upon this foundation, enabling the mapping structure, function, connectivity patterns with high fidelity single individuals. Highfield MRI, operating at field strengths 7 Tesla (T) or higher, increases signal-to-noise ratio opens up possibilities gains spatial resolution. Here, we share a...
Motor functional neurological disorder (mFND) is a clinical diagnosis with reliable features; however, patients are reluctant to accept the and physicians themselves bear doubts on potential misdiagnoses. The identification of positive biomarker could help limiting unnecessary costs multiple referrals investigations, thus promoting early allowing engagement in appropriate therapy. To test whether resting-state (RS) magnetic resonance imaging discriminate suffering from mFND healthy controls....
The human mind wanders spontaneously and frequently, revisiting the past imagining future of self others. External internal factors can influence wandering spontaneous thoughts, whose content predicts subsequent emotional states. We propose that social imitation, an action increases well-being closeness by poorly understood mechanisms, impacts behavioural states in part modulating post-imitation mind-wandering. In 43 young subjects, we find imitating arm movements actor alters dynamics...
Atrophy in both grey and white matter is found normal aging. The prefrontal cortex the frontal lobe are thought to be most affected regions. Our aim was examine effects of aging on cortical using a 3D quantitative mapping method.We analyzed 1.5-tesla brain magnetic resonance imaging data from 44 cognitively elderly subjects pattern matching thickness analyses. Linear regression analysis used study effect age thickness. map-wide correction for multiple comparisons conducted with permutation...
The impact of in-scanner motion on functional magnetic resonance imaging (fMRI) data has a notorious reputation in the neuroimaging community. State-of-the-art guidelines advise to scrub out excessively corrupted frames as assessed by composite framewise displacement (FD) score, regress models nuisance variables, and include average FD covariate group-level analyses. Here, we studied individual time courses at points typically retained fMRI We observed that even this set putatively clean...
Abstract The manner through which individual differences in brain network organization track population-level behavioral variability is a fundamental question systems neuroscience. Recent work suggests that resting-state and task-state functional connectivity can predict specific traits at the level. However, focus of most studies on single has come expense capturing broader relationships across behaviors. Here, we utilized large-scale dataset 1858 typically developing children to estimate...
A bstract Temporal lobe epilepsy with hippocampal sclerosis (TLE-HS) is associated a complex genetic architecture, but the translation from risk factors to brain vulnerability remains unclear. Here, we examined associations between epilepsy-related polygenic scores for HS (PRS-HS) and structure in large sample of neurotypical children, correlated these signatures case-control findings multicentric cohorts patients TLE-HS. Imaging-genetic analyses revealed PRS-related cortical thinning...
Background Cerebrovascular disease and neurodegeneration cause cognitive impairment frequently coexist. Aims Our objectives were to investigate the prevalence impact of medial temporal lobe atrophy – a radiological marker often associated with Alzheimer's in hospital stroke service. Methods Retrospective cohort study patients from Patients assessed for suspected ischemic or transient attack, irrespective final diagnosis, underwent neuropsychological testing magnetic resonance imaging....
A bstract Complex structural and functional changes occurring in typical atypical development necessitate multidimensional approaches to better understand the risk of developing psychopathology. Here, we simultaneously examined brain network patterns relation dimensions psychopathology Adolescent Brain Cognitive Development dataset. Several components were identified, recapitulating hierarchy, with general ( p ) factor explaining most covariance multimodal imaging features, while...
Complex structural and functional changes occurring in typical atypical development necessitate multidimensional approaches to better understand the risk of developing psychopathology. Here, we simultaneously examined brain network patterns relation dimensions psychopathology Adolescent Brain Cognitive Development dataset. Several components were identified, recapitulating hierarchy, with general ( p ) factor explaining most covariance multimodal imaging features, while internalizing,...
Abstract Background There is considerable interest in a dimensional transdiagnostic approach to psychiatry. Most studies have derived factors based only on clinical symptoms, which might miss possible links between psychopathology, cognitive processes and personality traits. Furthermore, many psychiatric focus higher-order association brain networks, thus neglecting the potential influence of huge swaths brain. Methods A multivariate data-driven (partial least squares; PLS) was utilized...
The corpus callosum is the largest white matter pathway in brain connecting two hemispheres. In context of developmental absence (agenesis) (AgCC), a proposed candidate for neuroplastic response strengthening intrahemispheric pathways. To test this hypothesis, we assessed structural and functional connectivity uniquely large cohort children with AgCC (n = 20) compared typically developing controls (TDC, n 29), then examined associations neurobehavioral outcomes using multivariate data-driven...
Autism spectrum disorder (ASD) is one of the most common neurodevelopmental diagnoses. Although incompletely understood, structural and functional network alterations are increasingly recognized to be at core condition. We utilized multimodal imaging connectivity modeling study structure-function coupling in ASD probed mono- polysynaptic mechanisms on structurally-governed function. examined magnetic resonance data 80 61 neurotypical controls from Brain Imaging Data Exchange (ABIDE) II...
The posterior parietal cortex (PPC) is an anatomically heterogeneous brain region implicated in a wide range of cognitive operations, including egocentric spatial processing and both short- long-term memory. Here, we report functional specificities cytoarchitectonically defined subregions PPC during the scenes across changes viewpoint. Participants (n = 16) saw photographs familiar unfamiliar places while undergoing magnetic resonance imaging (fMRI). On each trial, 4 viewpoints same place...
Abstract Brain-imaging research enjoys increasing adoption of supervised machine learning for singlesubject disease classification. Yet, the success these algorithms likely depends on population diversity, including demographic differences and other factors that may be outside primary scientific interest. Here, we capitalize propensity scores as a composite confound index to quantify diversity due major sources stratification. We delineate impact heterogeneity predictive accuracy pattern...
ABSTRACT Objective Autism spectrum disorder (ASD) is a pervasive neurodevelopmental condition that associated with atypical brain network organization, prior work suggesting differential connectivity alterations respect to functional connection length. Here, we tested whether connectopathy in ASD specifically relates disruptions long-relative short-range profiles. Our approach combined connectomics geodesic distance mapping, and studied associations macroscale networks, microarchitectural...
Multimodal neuroimaging allows for non-invasive examination of human brain structure and function across multiple scales. Precision builds upon this foundation, enabling the mapping structure, function, connectivity patterns with high fidelity in single individuals. Ultra-high field (UHF) neuroimaging, operating at magnetic strengths 7 Tesla or higher, increases signal-to-noise ratio offers even higher spatial resolution. Here, we provide a multimodal Neuroimaging Connectomics (PNI) dataset,...
Agenesis of the corpus callosum (AgCC) is a congenital brain malformation characterized by complete or partial failure to develop callosum. Despite missing largest white matter bundle connecting left and right hemispheres brain, studies have shown preserved inter-hemispheric communication in individuals with AgCC. It likely that plasticity provides mechanisms for adjust context AgCC, as disrupts programmed developmental processes very early on. A proposed candidate neuroplastic response AgCC...