Spurious cross-frequency amplitude-amplitude coupling in nonstationary, nonlinear signals

NCUIR > college of Health Sciences and Technology > Department of Biomedical Sciences and Engineering > journal & Dissertation > Item 987654321/102990

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/102990

Title:	Spurious cross-frequency amplitude-amplitude coupling in nonstationary, nonlinear signals
Authors:	羅孟宗;Yeh, Chien-Hung;Lo, Men-Tzung;Hu, Kun
Contributors:	生醫理工學院生醫科學與工程學系
Keywords:	Amplitude–amplitude coupling;Assessments;Brain;Chlorofluorocarbons;Coupling;Cross-frequency coupling;Empirical mode decomposition;Learning;Modulation index;Nonlinearity;Phase–amplitude coupling;Statistical mechanics;Strategy
Date:	2016-07-15
Issue Date:	2026-04-23 11:21:29 (UTC+8)
Publisher:	Elsevier;Netherlands: Elsevier B.V
Abstract:	摘要： Recent studies of brain activities show that cross-frequency coupling (CFC) plays an important role in memory and learning. Many measures have been proposed to investigate the CFC phenomenon, including the correlation between the amplitude envelopes of two brain waves at different frequencies — cross-frequency amplitude–amplitude coupling (AAC). In this short communication, we describe how nonstationary, nonlinear oscillatory signals may produce spurious cross-frequency AAC. Utilizing the empirical mode decomposition, we also propose a new method for assessment of AAC that can potentially reduce the effects of nonlinearity and nonstationarity and, thus, help to avoid the detection of artificial AACs. We compare the performances of this new method and the traditional Fourier-based AAC method. We also discuss the strategies to identify potential spurious AACs. •Nonstationary oscillations can induce spurious amplitude–amplitude coupling (AAC).•Nonlinear waveform can induce spurious AAC.•The EMD-based AAC method performs better than the Fourier-based AAC method. 其他題名： Physica A 出版者： Netherlands: Elsevier B.V 出版日期： 2016-07-15 出處： Physica A, 2016-07, Vol.454, p.143-150 版權： 2016 識別號： ISSN: 0378-4371 識別號： EISSN: 1873-2119 識別號： DOI: 10.1016/j.physa.2016.02.012 識別號： PMID: 27103757
Appears in Collections:	[Department of Biomedical Sciences and Engineering ] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	26	View/Open

社群 sharing

Loading...