Epilepsy is a disorder of brain networks. A better understanding of structural and dynamic
network properties may improve epilepsy diagnosis, treatment, and prognostics. Hubs are …

Cognitive and behavioural comorbidities are prevalent in childhood and adult epilepsies
and impose a substantial human and economic burden. Over the past century, the classic …

Importance It remains unclear why lesions in some locations cause epilepsy while others do
not. Identifying the brain regions or networks associated with epilepsy by map** these …

Artificial intelligence (AI)-based tools are widely employed, but their use for diagnosis and
prognosis of neurological disorders is still evolving. Here we analyse a cross-sectional …

Network control theory is increasingly used to profile the brain's energy landscape via
simulations of neural dynamics. This approach estimates the control energy required to …

Objective To determine the involvement of subcortical regions in human epilepsy by
analyzing direct recordings from these regions during epileptic seizures using stereo-EEG …

Artificial intelligence provides an opportunity to try to redefine disease subtypes based on
similar pathobiology. Using a machine-learning algorithm (Subtype and Stage Inference) …

Objective With a growing appreciation for interindividual anatomical variability and patient‐
specific brain connectivity, advanced imaging sequences offer the opportunity to directly …

Objective To investigate the functional correlates of recurrent secondarily generalized
seizures in temporal lobe epilepsy (TLE) using task-based fMRI as a framework to test for …

Objective Our objective was to identify whether the whole‐brain structural network
alterations in patients with temporal lobe epilepsy (TLE) and focal to bilateral tonic–clonic …