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

Electroencephalogram (EEG) and magnetoencephalogram (MEG) recordings during resting
state are increasingly used to study functional connectivity and network topology. Moreover …

The ability to decode mood state over time from neural activity could enable closed-loop
systems to treat neuropsychiatric disorders. However, this decoding has not been …

Over the past 10 years, the drive to improve outcomes from epilepsy surgery has stimulated
widespread interest in methods to quantitatively guide epilepsy surgery from intracranial …

In∼ 20 million people with drug-resistant epilepsy, focal seizures originating in
dysfunctional brain networks will often evolve and spread to surrounding tissue, disrupting …

Objective To investigate whether high‐frequency oscillations (HFOs) show spatiotemporal
propagation and assess the relevance of the earliest oscillations in relation to the seizure …

Objective We hypothesized that the modulation index (MI), a summary measure of the
strength of phase‐amplitude coupling between high‐frequency activity (> 150 Hz) and the …

Covering the latest cutting-edge techniques in biomedical signal processing while
presenting a coherent treatment of various signal processing methods and applications, this …

Patients with drug-resistant focal epilepsy are often candidates for invasive surgical
therapies. In these patients, it is necessary to accurately localize seizure generators to …

Objective: This paper addresses the critical problem of estimating time-evolving effective
brain connectivity. Current approaches based on sliding window analysis or time-varying …