Niels K. Focke

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 investigates predictive coding strategies in cortex by analyzing information transfer and predictability using human and mouse data, finding that predictable information is predominantly encoded.

The paper identifies neurophysiological markers of cortical hierarchy and shows how these markers change with age using MEG data from 350 participants.

This study uses MEG time-series analysis to identify neural markers predictive of age, finding that temporal autocorrelation in specific brain regions is the most robust predictor.

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.

The paper examines age-related changes in neuromagnetic signals and their relationship with cortical thickness across adulthood, finding frequency-specific patterns and sex differences.

This study examines the relationship between BOLD-fMRI and EEG signals in the resting human brain, finding frequency- and network-specific time-lags and correlations.

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.

The paper proposes a machine learning framework for automatically checking the quality of rigid and affine brain MRI registrations using similarity functions as features, achieving high F1-scores on a dataset of 215 autism subjects.

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.