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Conf Proc IEEE Eng Med Biol Soc. 2011;2011:4725-8. doi: 10.1109/IEMBS.2011.6091170.

Robust time-varying multivariate coherence estimation: application to electroencephalogram recordings during general anesthesia.

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1
Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA. kfwong@partners.org

Abstract

Coherence analysis characterizes frequency-dependent covariance between signals, and is useful for multivariate oscillatory data often encountered in neuroscience. The global coherence provides a summary of coherent behavior in high-dimensional multivariate data by quantifying the concentration of variance in the first mode of an eigenvalue decomposition of the cross-spectral matrix. Practical application of this useful method is sensitive to noise, and can confound coherent activity in disparate neural populations or spatial locations that have a similar frequency structure. In this paper we describe two methodological enhancements to the global coherence procedure that increase robustness of the technique to noise, and that allow characterization of how power within specific coherent modes change through time.

PMID:
22255393
PMCID:
PMC3293406
DOI:
10.1109/IEMBS.2011.6091170
[Indexed for MEDLINE]
Free PMC Article
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