Simon Sean Keller

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

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 systematic review examines the relationship between white matter structure and language lateralisation, finding variability in results across studies and methodological challenges.

The paper examines associations between epilepsy-related polygenic risk scores and brain morphology in children, finding PRS-related cortical thinning linked to structural patterns in TLE-HS patients.

The paper identifies structural and functional white matter changes in R221W mutation carriers, suggesting motor under-reactivity rather than sensory insensitivity in congenital insensitivity to pain.

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 examines the relationship between white matter architecture and language lateralisation using connectomic analysis in a large cohort, finding that diffusion measures, not geometric features, correlate with language dominance.

This study examines age-related changes in grey and white matter in TLE patients across the adult lifespan, finding accelerated aging effects after age 55.

This study identifies subregional cerebellar atrophy patterns in epilepsy syndromes using MRI data from 1,602 patients and 1,022 controls, finding significant volume loss in posterior lobe regions.

This study identifies divergent patterns of atypical cortical asymmetry and regional atrophy in temporal lobe epilepsy using MRI data from a large multi-site cohort.

This study links structural network changes in epilepsy syndromes to risk gene expression patterns using ENIGMA data.

The paper identifies microglial activation as a factor contributing to cortical thinning in epilepsy by integrating neuroimaging and gene expression data.

This study identifies white matter microstructural differences across epilepsy syndromes using diffusion MRI data from a large multicenter cohort.

This study identifies network associations with atrophy patterns in epilepsy using neuroimaging and connectome analysis across 1,021 patients and 1,564 controls.