Michel Thiebaut de Schotten

This paper develops and validates a deep learning model to generate synthetic T-max perfusion maps from non-contrast MRI data in acute stroke patients.

This paper introduces a neuroimaging framework to map brain mitochondria non-invasively and finds age-related declines in mitochondrial density and respiratory capacity, along with disease-specific alterations and links to systemic stress and cognition.

This study maps the neurotransmitter architecture of the human language network and identifies neurochemical disruptions in post-stroke aphasia, suggesting potential for personalized pharmacological strategies.

The paper investigates how mitochondrial energy capacity affects brain function during cognitive, sensory, and affective tasks, finding that working memory is more vulnerable to energetic stress than sensory or affective processes.

This paper develops a non-invasive transcranial ultrasound imaging method in non-human primates, achieving high-resolution vascular visualization and flow quantification.

DeepDisco predicts brain connectivity maps from binary regions or lesions using deep learning, providing a scalable and accessible tool for large datasets.

The paper creates a brain-wide map of mitochondrial phenotypes by combining physical voxelization with biochemical profiling, revealing regional differences in mitochondrial density and function.

This study shows that MRI R2* changes reflect inflammation in disconnected brain regions after stroke, both in humans and mice, linking disconnection to iron accumulation and microglial activation.

The paper identifies two distinct pathways between visual and default mode networks that support semantic and spatial cognition, showing their dissociation in functional connectivity and task responses.

This study benchmarks predictive models for long-term stroke outcomes using a global consortium, revealing mechanistic diversity and key predictors across motor, cognitive, and emotional domains.

This paper uses deep learning to generate disconnectomes from stroke lesion masks, achieving faster computation and better prediction of post-stroke cognitive and behavioral outcomes.

The paper develops a method to map white and grey matter contributions to resting-state networks and finds that 89% of white matter is shared across multiple networks.

The paper analyzes cortical asymmetry across age and datasets, finding stable areal asymmetry and developmental changes in thickness asymmetry, with genetic and phenotypic associations.

This study uses a disconnectome method to identify white matter networks critical for reading and predicts lesion locations causing reading deficits.

The paper investigates the relationship between arcuate fasciculus lateralization and literacy skills in children with developmental dyslexia, finding adaptive compensation in specific segments.

This study examines connectivity disruptions in the uncinate fasciculus in developmental dyslexia, finding sex-specific effects and a link to visual attention span.

The paper maps lesion locations, structural, and functional disconnection patterns in semantic aphasia to semantic and executive impairments.

This study examines how stroke affects neural criticality in individual brain models and shows recovery over time linked to white matter remodeling.

The paper examines how fiber length scaling in the corpus callosum varies with brain size across two large cohorts, showing differences linked to functional lateralization, evolution, and development.

The paper introduces Functionnectome, a method that maps functional white matter circuits using fMRI and anatomy, revealing their contribution to motor, working memory, and language functions.

This paper provides a modern description of occipital intralobar fiber tracts using diffusion MRI tractography, reconstructing five tracts described by Dejerines and identifying a sixth.

This study investigates the relationship between post-stroke fatigue and brain disconnectivity in chronic stroke patients, finding no significant associations with disconnectome measures or lesion characteristics.

This study maps the human Disconnectome using 1333 stroke lesions, revealing how white matter disconnections relate to brain function and behavior.

The paper maps the principal gradient onto the corpus callosum and shows its spatial distribution and connectivity patterns.

The paper links the fifth functional connectivity gradient to the olfactocentric system in the Dual Origin theory of the human brain.

The paper investigates the relationship between hemi-face dominance in emotional expression and cerebral white matter asymmetries in healthy participants.

This study identifies three neural networks involved in Anosognosia for Hemiplegia using structural neuroimaging in stroke patients.

The paper maps functional hemispheric asymmetries in the human brain, identifies four functional axes, and links lateralisation to reduced inter-hemispheric connectivity.

The paper identifies a new white matter tract, the superoanterior fasciculus, using diffusion MRI tractography and validates it across multiple cohorts and techniques.

This study presents a new neuroanatomical model of the default-mode network (DMN) that includes subcortical structures, revealing their structural and functional importance through diffusion tractography and interindividual brain alignment.