Sep 20, 2014 · This work presents a novel modeling of neuronal activity of the brain by capturing the synchronization of EEG signals along the scalp.
Jul 8, 2015 · This work presents a novel modeling of neuronal activity of the brain by capturing the synchronization of EEG sig- nals along the scalp.
Our purpose in this work is to establish the extent to which they influence the graph theoretic measures of brain networks in epilepsy obtained from scalp EEG.
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Jun 1, 2022 · proposed a study on graph theoretical analysis of seizure onset observed from minimally invasive scalp EEG. The approach considered the ...
Automated seizure detection using electroencephalograph (EEG) recordings would improve the quality of treatment and reduce medical overhead. The purpose of this ...
In this work, we introduce a graph-based model of the brain interactions developed to study synchronization patterns in the electroencephalogram (EEG) signals.
Nov 8, 2022 · This paper proposed a new graph-generative neural network (GGN) model for the dynamic discovery of brain functional connectivity via deep ...
Abstract—It is well established that both the choice of recording reference (montage) and volume conduction affect the connectivity measures obtained from ...
Mar 20, 2019 · Using a unique dataset of long-term (days) continuous scalp EEG recordings in patients with epilepsy, we recently showed that the summative ...
Jan 1, 2015 · Ponten et al. Small-world networks and epilepsy: graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures. Clin ...