Modern network science has revealed fundamental aspects of normal brain-network
organization, such as small-world and scale-free patterns, hierarchical modularity, hubs and …

Candidates for epilepsy surgery must undergo presurgical evaluation to establish whether
and how surgical treatment can stop seizures without causing neurological deficits. Various …

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 …

Drug-refractory focal epilepsies are network diseases associated with functional connectivity
alterations both during ictal and interictal periods. A large majority of studies on the …

Objective We assessed preoperative structural brain networks and clinical characteristics of
patients with drug-resistant temporal lobe epilepsy (TLE) to identify correlates of postsurgical …

Epilepsy is among the most common chronic neurologic disorders, with 30%‐40% of
patients having seizures despite antiepileptic drug treatment. The advent of brain imaging …

Our knowledge on temporal lobe epilepsy (TLE) with hippocampal sclerosis has evolved
towards the view that this syndrome affects widespread brain networks. Diffusion weighted …

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

The objective of this study is to evaluate machine learning algorithms aimed at predicting
surgical treatment outcomes in groups of patients with temporal lobe epilepsy (TLE) using …

Background Temporal lobe surgical resection brings seizure remission in up to 80% of
patients, with long-term complete seizure freedom in 41%. However, it is unclear how …