Electrophysiological source imaging (ESI) has been successfully employed in many brain
imaging applications during the last 20 years. ESI estimates of underlying brain networks …

EEG inverse problem is underdetermined, which poses a long standing challenge in
Neuroimaging. The combination of source-imaging and analysis of cortical directional …

Affective computing is an important subfield of artificial intelligence, and with the rapid
development of brain-computer interface technology, emotion recognition based on EEG …

Non-invasive MEG/EEG source imaging provides valuable information about the
epileptogenic brain areas which can be used to aid presurgical planning in focal epilepsy …

Objective. The goal of this work is to identify the spatio-temporal facets of state-of-the-art
electroencephalography (EEG)-based continuous neurorobotics that need to be addressed …

We present CiftiStorm, an electrophysiological source imaging (ESI) pipeline incorporating
recently developed methods to improve forward and inverse solutions. The CiftiStorm …

Electroencephalographic (EEG) source imaging (ESI) is a powerful method for studying
brain functions and surgical resection of epileptic foci. However, accurately estimating the …

Brains of human, as well as of other species, are all known to be organized into distinct
neural networks, which have been found to serve as the basis for various brain functions …

The objective of this study is to extract pathological brain networks from interictal period of
E/MEG recordings to localize epileptic foci for presurgical evaluation. We proposed here a …

For patients with drug-resistant epilepsy, surgical resection of the epileptogenic zone is a
major therapeutic intervention which may lead to seizure reduction or freedom. A successful …