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Frontiers in Physiology
(Oct 2022)
Editorial: Investigation of brain functional connectivity from electroencephalogram data
Giovanni Chiarion,
Soroush Safaei,
Alireza Valizadeh,
Alireza Valizadeh,
Pouya Bashivan,
Chien-Hung Yeh,
Chuting Zhang,
Yufei Wang,
Luca Mesin
Affiliations
Giovanni Chiarion
Mathematical Biology & Physiology, Department Electronics and Communications, Politecnico di Torino, Turin, Italy
Soroush Safaei
Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand
Alireza Valizadeh
Department of Physics, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran
Alireza Valizadeh
Pasargad Institute for Advanced Innovative Solutions (PIAIS), Tehran, Iran
Pouya Bashivan
Department of Physiology, McGill University, Montreal, QB, Canada
Chien-Hung Yeh
School of Information and Electronics, Beijing Institute of Technology, Beijing, China
Chuting Zhang
School of Information and Electronics, Beijing Institute of Technology, Beijing, China
Yufei Wang
School of Information and Electronics, Beijing Institute of Technology, Beijing, China
Luca Mesin
Mathematical Biology & Physiology, Department Electronics and Communications, Politecnico di Torino, Turin, Italy
DOI
https://doi.org/10.3389/fphys.2022.1058683
Journal volume & issue
Vol. 13
Abstract
Read online
No abstracts available.
Keywords
brain
functional connectivity
EEG
electroencephalogram
graph theory
machine learning
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