ESENA: A Novel Spatiotemporal Event Network Information Approach for Mining Scalp EEG Data

ESENA: A Novel Spatiotemporal Event Network Information Approach for Mining Scalp EEG Data

ABSTRACT Objective Brain activity possesses unique spatiotemporal characteristics. However, few electroencephalogram (EEG) analysis methods were designed to capture these features. Here, we developed a novel approach to mine spatiotemporal information contained in EEG data. Methods In this work, a n...

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Bibliographic Details
Main Authors: Qiwei Dong, Runchen Yang, Xinrui Wang, Zongwen Feng, Chenggan Liu, Shiyu Chen, Yuxi Zhou, Dezhong Yao, Junru Ren, Qi Xu, Li Dong
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Brain and Behavior
Subjects:
EEG
EEG network
spatiotemporal information mining
Online Access:https://doi.org/10.1002/brb3.70426
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