A5035044804- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neurobiology of Language and Bilingualism
- Acute Ischemic Stroke Management
- Fetal and Pediatric Neurological Disorders
- Cerebrospinal fluid and hydrocephalus
- Intracerebral and Subarachnoid Hemorrhage Research
- Action Observation and Synchronization
- Stroke Rehabilitation and Recovery
- Advanced Memory and Neural Computing
- MRI in cancer diagnosis
- Neural and Behavioral Psychology Studies
- Neuroscience and Neuropharmacology Research
- Cerebrovascular and Carotid Artery Diseases
- Motor Control and Adaptation
Centre National de la Recherche Scientifique
2020-2025
Université de Bordeaux
2020-2025
Commissariat à l'Énergie Atomique et aux Énergies Alternatives
2020-2025
Institut des Maladies Neurodégénératives
2020-2025
Sorbonne Université
2021-2025
Fealinx (France)
2024
TE Connectivity (France)
2024
University of Glasgow
2023
Radboud University Nijmegen
2022
Schott (Germany)
2022
Abstract Stroke significantly impacts the quality of life. However, long-term cognitive evolution in stroke is poorly predictable at individual level. There an urgent need to better predict symptoms based on acute clinical neuroimaging data. Previous works have demonstrated a strong relationship between location white matter disconnections and symptoms. rendering entire space possible disconnection-deficit associations optimally surveyable will allow for systematic association brain...
Over the past two decades, study of resting-state functional magnetic resonance imaging has revealed that connectivity within and between networks is linked to cognitive states pathologies. However, white matter connections supporting this remain only partially described. We developed a method jointly map grey contributing each network (RSN). Using Human Connectome Project, we generated an atlas 30 RSNs. The also highlighted overlap networks, which most brain's (89%) shared multiple RSNs,...
Abstract In recent years, the field of functional neuroimaging has moved away from a pure localisationist approach isolated brain regions to more integrated view these within networks. However, methods used investigate networks rely on local signals in grey matter and are limited identifying anatomical circuitries supporting interaction between regions. Mapping circuits mediating signal would propel our understanding brain’s signatures dysfunctions. We developed method unravel relationship...
We implemented a deep learning (DL) algorithm for the 3-dimensional segmentation of perivascular spaces (PVSs) in white matter (DWM) and basal ganglia (BG). This is based on an autoencoder U-shaped network (U-net), was trained tested using T1-weighted magnetic resonance imaging (MRI) data from large database 1,832 healthy young adults. An important feature this approach ability to learn relatively sparse data, which gives present major advantage over other DL algorithms. Here, we with 40 MRI...
Distinctive patterns of brain neurotransmission frame determinant circuits for behavior. Understanding the relationship between their damage and cognitive impairment provoked by lesions could provide insights into pathophysiology therapeutics disabling disorders, like stroke. Yet, challenges neurotransmitter mapping in vivo have hampered this investigation. Here, we developed an MRI white matter atlas created a method to chart how stroke damages systems, which distinguishes pre postsynaptic...
The contribution of structural connectivity to functional dynamics is still far from being elucidated. Herein, we applied track-weighted dynamic (tw-dFC), a model integrating structural, functional, and connectivity, on high quality diffusion weighted imaging resting-state fMRI data two independent repositories. tw-dFC maps were analyzed using component analysis, aiming at identifying spatially white matter components which support changes in connectivity. Each consisted spatial map bundles...
Abstract Traditionally, the frontotemporal arcuate fasciculus (AF) is viewed as a single entity in anatomo-clinical models. However, it unclear if distinct cortical origin and termination patterns within this bundle correspond to specific language functions. We use track-weighted dynamic functional connectivity, hybrid imaging technique, study AF structure function two datasets of healthy subjects. Here we show that can be subdivided based on changes connectivity at streamline endpoints. An...
Abstract Characterizing how, when, and where the human brain changes across lifespan is fundamental to our understanding of developmental processes childhood adolescence, degenerative aging, divergence from normal patterns in disease disorders. We aimed provide detailed descriptions white matter pathways by thoroughly characterizing microstructure, macrostructure, morphology cortex associated with pathways. analyzed four large, high-quality, cross-sectional datasets comprising 2789 total...
Cerebral microbleeds (CMB) represent a feature of cerebral small vessel disease (cSVD), prominent vascular contributor to age-related cognitive decline, dementia, and stroke. They are visible as spherical hypointense signals on T2*- or susceptibility-weighted magnetic resonance imaging (MRI) sequences. An increasing number automated CMB detection methods being proposed based supervised deep learning (DL). Yet, the lack open sharing pre-trained models hampers practical application evaluation...
Abstract Characterizing how, when and where the human brain changes across lifespan is fundamental to our understanding of developmental processes childhood adolescence, degenerative aging, divergence from normal patterns in disease disorders. We aimed provide detailed descriptions white matter pathways by thoroughly characterizing microstructure , macrostructure morphology cortex associated with pathways. analyzed 4 large, high-quality, publicly-available datasets comprising 2789 total...
Abstract We report on MRi-Share, a multi-modal brain MRI database acquired in unique sample of 1,870 young healthy adults, aged 18 to 35 years, while undergoing university-level education. MRi-Share contains structural (T1 and FLAIR), diffusion (multispectral), susceptibility weighted (SWI), resting-state functional imaging modalities. Here, we described the contents these different neuroimaging datasets processing pipelines used derive phenotypes, as well how quality control was assessed....
Abstract Over the past two decades, study of resting-state functional magnetic resonance imaging has revealed that connectivity within and between networks are linked to cognitive states pathologies. However, white matter connections supporting remain only partially described. We developed a method jointly map grey contributing each network. Using Human Connectome Project, we generated an atlas 30 networks. The also allows highlighting overlap networks, which most brain’s (89%) is shared...
Abstract Stroke significantly impacts quality of life. However, the long-term cognitive evolution in stroke is poorly predictable at individual level. There an urgent need for a better prediction symptoms based on acute clinical neuroimaging data. Previous works have demonstrated strong relationship between location white matter disconnections and symptoms. rendering entire space possible disconnections-deficit associations optimally surveyable will allow systematic association brain...
Limb apraxia is a higher-order motor disorder often occurring post-stroke, which affects skilled actions. It assessed through tasks involving gesture production or pantomime, recognition, meaningless imitation, complex figure drawing, single and multi-object use. A two-system model for the organisation of actions hypothesizes distinct pathways mediating praxis deficits via conceptual, 'indirect', perceptual 'direct' routes to action. Traditional lesion- symptom mapping techniques have failed...
<title>Abstract</title> Cerebral microbleeds (CMB) represent a feature of cerebral small vessel disease (cSVD), prominent vascular contributor to age-related cognitive decline, dementia, and stroke. They are visible as spherical hypointense signals on T2*- or susceptibility-weighted magnetic resonance imaging (MRI) sequences. An increasing number automated CMB detection methods being proposed based supervised deep learning (DL). Yet, the lack open sharing pre-trained models hampers practical...
Stroke is a significant cause of mortality and long-term disability worldwide, with variable recovery trajectories posing substantial challenges in anticipating post-event care rehabilitation planning. The NeuralCup 2023 consortium was established to address these by comparing the predictability stroke outcome models through collaborative, data-driven approach. This study presents consortium's findings, which involved 15 participating teams worldwide. Using comprehensive dataset, included...
Abstract Distinctive patterns of brain neurotransmission frame determinant circuits for behavior. Understanding the relationship between their damage and cognitive impairment provoked by lesions could provide important insights into pathophysiology therapeutics highly disabling disorders, like stroke. Yet, challenges neurotransmitter mapping in vivo have hampered this investigation. Here, we developed a novel MRI white matter atlas created method to chart how stroke damages systems, which...
Figure 3 and 5 have been updated due to formatting issues with the colorbar labels on several subplots. These corrected, however, color format of rest figure remains unchanged, no results nor interpretation are changed by issue.
<title>Abstract</title> Traditionally, the frontotemporal arcuate fasciculus (AF) is viewed as a single entity in anatomo-clinical models. However, it unclear if distinct cortical origin and termination patterns within this bundle correspond to specific language functions. We used track-weighted dynamic functional connectivity, hybrid imaging technique, study AF structure function large cohort of healthy participants. Our results suggest can be subdivided based on changes connectivity at...
Brain functions are a property of the interaction between brain areas. While much is known about cortical structure and structural connections in white matter, cortex matter underexplored. Here, we aim to investigate characterize relationship changes across lifespan. We use functionnectome framework associate morphological features cortex. Biologically, this influences (or influenced by) these changes.
Abstract Integrating the underlying brain circuit's structural and functional architecture is required to explore organization of cognitive networks properly. In that regard, we recently introduced Functionnectome. This structural-functional method combines an fMRI acquisition with tractography-derived white matter connectivity data map processes onto matter. However, this multimodal integration faces three significant challenges: 1) definition interface between grey matter, as tractography...