Estimation of Time-Varying Coherence and Its Application in Understanding Brain Functional Connectivity

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ID: 55999
2010
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Abstract
Time-varying coherence is a powerful tool for revealing functional dynamics between different regions in the brain. In this paper, we address ways of estimating evolutionary spectrum and coherence using the general Cohen's class distributions. We show that the intimate connection between the Cohen's class-based spectra and the evolutionary spectra defined on the locally stationary time series can be linked by the kernel functions of the Cohen's class distributions. The time-varying spectra and coherence are further generalized with the Stockwell transform, a multiscale time-frequency representation. The Stockwell measures can be studied in the framework of the Cohen's class distributions with a generalized frequency-dependent kernel function. A magnetoencephalography study using the Stockwell coherence reveals an interesting temporal interaction between contralateral and ipsilateral motor cortices under the multisource interference task.
Reference Key
liu2010estimationeurasip Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Liu, Cheng;Gaetz, William;Zhu, Hongmei;
Journal eurasip journal on advances in signal processing
Year 2010
DOI
DOI not found
URL
http://dx.doi.org/10.1155/2010/390910
Keywords
Chemical technology Science telecommunication electronics

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