Lucy E. Vivash

This study examines sex differences in structural brain alterations in common epilepsies using neuroimaging data from a large international cohort, finding some regional differences but no significant sex-by-diagnosis interactions.

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 uses factor analysis on multimodal biomarkers to identify latent constructs of brain health, finding five distinct constructs associated with age and cognitive function.

This study examines relationships between MRI-based measures of neurovascular integrity and fluid transport in older adults, finding age-related changes and stable inter-relationships among these metrics.

This study finds plasma pTau-217 correlates with cognition and brain atrophy in cognitively healthy older adults and strongly correlates with its CSF counterpart.

The paper compares four automated MRI segmentation methods for epilepsy resection cavities to manual segmentation, finding SPM-based methods outperform deep learning approaches in most cases.

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.