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|a Sampson, A. L.
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|a Harvard University-
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|a Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
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|a Babadi, Behtash
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|a Prerau, Michael J.
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|a Brown, Emery N.
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|a Purdon, Patrick Lee
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|a Mukamel, Eran A.
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|a Babadi, Behtash
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|a Prerau, Michael J.
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|a Brown, Emery N.
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|a Purdon, Patrick Lee
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|a A beamforming approach to phase-amplitude modulation analysis of multi-channel EEG
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|b Institute of Electrical and Electronics Engineers (IEEE),
|c 2014-05-01T13:57:55Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/86316
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|a Phase-amplitude modulation is a form of cross frequency coupling where the phase of one frequency influences the amplitude of another higher frequency. It has been observed in neurophysiological recordings during sensory, motor, and cognitive tasks, as well as during general anesthesia. In this paper, we describe a novel beamforming procedure to improve estimation of phase-amplitude modulation. We apply this method to 64-channel EEG data recorded during propofol general anesthesia. The method improves the sensitivity of phase-amplitude analyses, and can be applied to a variety of multi-channel neuroscience data where phase-amplitude modulation is present.
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|a National Institutes of Health (U.S.) (Grant DP2-OD006454)
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|a National Institutes of Health (U.S.) (Grant K25-NS057580)
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|a National Institutes of Health (U.S.) (Grant DP1-OD003646)
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|a National Institutes of Health (U.S.) (Grant R01-EB006385)
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|a en_US
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|a Article
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|t Proceedings of the 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
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