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 …

Human neuroimaging has had a major impact on the biological understanding of epilepsy
and the relationship between pathophysiology, seizure management, and outcomes. This …

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 …

Chronic brain recordings suggest that seizure risk is not uniform, but rather varies
systematically relative to daily (circadian) and multiday (multidien) cycles. Here, one human …

The cortical patterning principle has been a long-standing question in neuroscience, yet
how this translates to macroscale functional specialization in the human brain remains …

Objective This study aims to evaluate the role of scalp electroencephalography (EEG; ictal
and interictal patterns) in predicting resective epilepsy surgery outcomes. We use the data to …

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 …

Cognitive impairment is a common comorbidity of epilepsy and adversely impacts people
with both frontal lobe (FLE) and temporal lobe (TLE) epilepsy. While its neural substrates …

Objective Focused ultrasound ablation (FUSA) is an emerging treatment for neurological
and psychiatric diseases. We describe the initial experience from a pilot, open‐label, single …

Objective Temporal lobe epilepsy (TLE) affects brain networks and is associated with
impairment of episodic memory. Temporal and extratemporal reorganization of memory …