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Detection of phase coupling in interacting networks of cortical columns

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preprint
posted on 21.04.2022, 16:11 by Takeshi AbeTakeshi Abe, Yoshiyuki Asai, Alessandro E. P. Villa
This is a preprint version submitted to review for publication on the IEEE Transactions on Biomedical Engineering (TBME).

In this study we investigated the estimation method of cross-bicoherence to infer quadratic phase coupling (QPC) in interaction networks based on empirical Bayes estimation. Nonlinear interaction, ubiquitous in a wide range of biomedical fields, often makes it challenging to apply conventional parametric approaches. While cross-bicoherence has been recognized as a key statistic of QPC, prior studies have not elucidated how reliable the estimation can be for realistic time series. This work demonstrates that cross-bicoherence estimated by the proposed method effectively detects QPC, with illustrative simulation studies of both typical QPC and neural mass models of cortical columns.

History

Email Address of Submitting Author

t.abe@yamaguchi-u.ac.jp

ORCID of Submitting Author

0000-0002-7074-4561

Submitting Author's Institution

Yamaguchi University

Submitting Author's Country

Japan