Editorial: Investigation of brain functional connectivity from electroencephalogram data
Front Physiol
.
2022 Oct 31:13:1058683.
doi: 10.3389/fphys.2022.1058683.
eCollection 2022.
Authors
Giovanni Chiarion
1
,
Soroush Safaei
2
,
Alireza Valizadeh
3
4
,
Pouya Bashivan
5
,
Chien-Hung Yeh
6
,
Chuting Zhang
6
,
Yufei Wang
6
,
Luca Mesin
1
Affiliations
1
Mathematical Biology & Physiology, Department Electronics and Communications, Politecnico di Torino, Turin, Italy.
2
Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.
3
Department of Physics, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, Iran.
4
Pasargad Institute for Advanced Innovative Solutions (PIAIS), Tehran, Iran.
5
Department of Physiology, McGill University, Montreal, QB, Canada.
6
School of Information and Electronics, Beijing Institute of Technology, Beijing, China.
PMID:
36388102
PMCID:
PMC9662294
DOI:
10.3389/fphys.2022.1058683
No abstract available
Keywords:
EEG; brain; electroencephalogram; functional connectivity; graph theory; machine learning.
Publication types
Editorial