Recent years have witnessed a paradigm shift in the study and conceptualization of
epilepsy, which is increasingly understood as a network-level disorder. An emblematic case …

Early imaging studies in temporal lobe epilepsy (TLE) focused on the search for mesial
temporal sclerosis, as its surgical removal results in clinically meaningful improvement in …

Progressive functional decline in the epilepsies is largely unexplained. We formed the
ENIGMA-Epilepsy consortium to understand factors that influence brain measures in …

Hippocampal sclerosis (HS) is the most frequent histopathology encountered in patients with
drug‐resistant temporal lobe epilepsy (TLE). Over the past decades, various attempts have …

Objective: It remains unclear whether drug-resistant temporal lobe epilepsy (TLE) is
associated with cumulative brain damage, with no expert consensus and no quantitative …

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 …

Objective We evaluated whether deep learning applied to whole‐brain presurgical structural
connectomes could be used to predict postoperative seizure outcome more accurately than …

Focal to bilateral tonic-clonic seizures are associated with lower quality of life, higher risk of
seizure-related injuries, increased chance of sudden unexpected death, and unfavourable …

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 …

The assessment of neural networks in epilepsy has become increasingly relevant in the
context of translational research, given that localized forms of epilepsy are more likely to be …