Functional Connectivity Estimation by Phase Synchronization and Information Flow Approaches in Coupled Chaotic Dynamical Systems-Reference-Cited by-同舟云学术

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Functional Connectivity Estimation by Phase Synchronization and Information Flow Approaches in Coupled Chaotic Dynamical Systems

Published:2022-12-01 Issue:12 Volume:E105.A Page:1604-1611
ISSN:0916-8508
Container-title:IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
language:en
Short-container-title:IEICE Trans. Fundamentals

Author:

TOBE Mayuna¹,NOBUKAWA Sou¹

Affiliation:

1. Graduate School of Information and Computer Science, Chiba Institute of Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing

Link

https://www.jstage.jst.go.jp/article/transfun/E105.A/12/E105.A_2021EAP1169/_pdf

Reference34 articles.

1. [1] M.F. Glasser, S.M. Smith, D.S. Marcus, J.L.R. Andersson, E.J. Auerbach, T.E.J. Behrens, T.S. Coalson, M.P. Harms, M. Jenkinson, S. Moeller, E.C. Robinson, S.N. Sotiropoulos, J. Xu, E. Yacoub, K. Ugurbil, and D.C. Van Essen, “The human connectome project's neuroimaging approach,” Nature Neuroscience, vol.19, no.9, pp.1175-1187, 2016. 10.1038/nn.4361

2. [2] M.F. Glasser, T.S. Coalson, E.C. Robinson, C.D. Hacker, J. Harwell, E. Yacoub, K. Ugurbil, J. Andersson, C.F. Beckmann, M. Jenkinson, S.M. Smith, and D.C. Van Essen, “A multi-modal parcellation of human cerebral cortex,” Nature, vol.536, no.7615, pp.171-178, 2016. 10.1038/nature18933

3. [3] N. Coquelet, X. De Tiège, F. Destoky, L. Roshchupkina, M. Bourguignon, S. Goldman, P. Peigneux, and V. Wens, “Comparing meg and high-density eeg for intrinsic functional connectivity mapping,” NeuroImage, vol.210, p.116556, 2020. 10.1016/j.neuroimage.2020.116556

4. [4] L.M. Andersen, K. Jerbi, and S.S. Dalal, “Can EEG and MEG detect signals from the human cerebellum?,” NeuroImage, vol.215, p.116817, 2020. 10.1016/j.neuroimage.2020.116817

5. [5] S. Nobukawa, T. Yamanishi, S. Kasakawa, H. Nishimura, M. Kikuchi, and T. Takahashi, “Classification methods based on complexity and synchronization of electroencephalography signals in alzheimer's disease,” Front. Psychiatry, vol.11, 2020. 10.3389/fpsyt.2020.00255

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1. Hub structure in functional network of EEG signals supporting high cognitive functions in older individuals;Frontiers in Aging Neuroscience;2023-04-17

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