Title :
Robust time-varying multivariate coherence estimation: Application to electroencephalogram recordings during general anesthesia
Author :
Wong, Kin Foon Kevin ; Mukamel, Eran A. ; Salazar, Andrés Felipe ; Pierce, Eric T. ; Harrell, P. Grace ; Walsh, John L. ; Sampson, Aaron ; Brown, Emery N. ; Purdon, Patrick L.
Author_Institution :
Dept. of Anesthesia, Critical Care & Pain Med., Massachusetts Gen. Hosp., Boston, MA, USA
fDate :
Aug. 30 2011-Sept. 3 2011
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.
Keywords :
eigenvalues and eigenfunctions; electroencephalography; noise; coherence analysis; eigenvalue decomposition; electroencephalogram recording; general anesthesia; global coherence procedure; multivariate oscillatory data; neuroscience; noise; robust time-varying multivariate coherence estimation; Anesthesia; Coherence; Electroencephalography; Neuroscience; Noise; Robustness; Time frequency analysis; Anesthesia, General; Electroencephalography; Humans; Multivariate Analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091170