Graph theoretical studies have been designed to investigate network topologies during life.
Network science and graph theory methods may contribute to a better understanding of …

Great strides have been made recently in documenting that machine-learning programs can
predict seizure occurrence in people who have epilepsy. Along with this progress have …

The situation when the blood circulation of some areas of brain cut of is known as brain
stroke. Nowadays, it is a very common disease and the number of patients who attack by …

Basal ganglia (BG) has been demonstrated to play the role of modulation for absence
seizure generated in the corticothalamic (CT) circuit. But it is unknown what the principle of …

Scalp Electroencephalography (EEG) is one of the most popular noninvasive modalities for
studying real-time neural phenomena. While traditional EEG studies have focused on …

Epilepsy is a network disease caused by aberrant neocortical large-scale connectivity
spanning regions on the scale of several centimeters. High-frequency oscillations …

In this paper, phase space reconstruction from stereo-electroencephalography data of ten
patients with focal epilepsy forms a series of graphs. Those obtained graphs reflect the …

Global initiatives to study the brain have led to the emergence of new neurotechnologies
that probe and manipulate the brain at multiple scales, from neuromodulators to cells to …