Gaël Jobard

The paper investigates SC-FC coupling in healthy adults to identify markers distinguishing typical, atypical, and non-lateralised language lateralisation profiles.

The paper examines how resting-state network connectivity relates to cognition and affect, finding that cognitive patterns reflect a segregated network architecture while affective patterns show less consistent signatures.

This study examines the relationship between white matter microstructure and cognitive performance in individuals with different language lateralisation patterns using neuroimaging and cognitive data.

This study identifies distinct structural connectivity patterns in the brains of individuals with different language lateralisation groups using whole-brain tractograms and network analysis.

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.

The paper uses fMRI to show that early human engravings activate brain regions similar to those for objects and written words, suggesting they had a representational purpose.

The paper creates an atlas of 32 sentence-related brain areas using task-induced activation and resting-state connectivity analysis in healthy right-handers.

The paper constructs a population-based atlas of the human pyramidal tract using diffusion MRI and a new tractography algorithm, showing improved resolution of cortico-lateral projections.