Epilepsy is a common medical condition that affects people of all ages, races, social classes,
and geographical regions. Diagnosis of epilepsy remains clinical, and ancillary …

Paediatric epilepsy surgery is an increasingly used evidence-based management option
with low risks for complications. Developments in neuroimaging techniques and other …

The analysis of biomedical signals for clinical studies and therapeutic applications can
benefit from embedded devices that can process these signals locally and in real-time. An …

The ability to non-invasively visualize endogenous chromophores and exogenous probes
and sensors across the entire rodent brain with the high spatial and temporal resolution has …

High-frequency oscillations (HFOs) are a promising biomarker for localizing epileptogenic
brain and guiding successful neurosurgery. However, the utility and translation of …

Epilepsy is increasingly considered a disorder of brain networks. Studying these networks
with functional connectivity can help identify hubs that facilitate the spread of epileptiform …

Abstract Machine learning is playing an increasingly important role in medical image
analysis, spawning new advances in the clinical application of neuroimaging. There have …

Electroencephalographic (EEG) source imaging localizes the generators of neural activity in
the brain. During presurgical epilepsy evaluation, EEG source imaging of interictal …

Intrahippocampal kainic acid (IHKA) has been widely implemented to simulate temporal
lobe epilepsy (TLE), but evidence of robust seizures is usually limited. To resolve this …

Objective Intracranial electroencephalographic (icEEG) studies show that interictal ripples
propagate across the brain of children with medically refractory epilepsy (MRE), and the …