Partial coherence of the event related potential: A new and powerful index of cerebral activation

David L. Sherman, Nathan E. Crone, Dana Boatman, Barry Gordon, Nitish V. Thakor, Melvin J. Hinich

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A new method of measuring cerebral activation during perceptual and cognitive tasks is presented using the partial coherence. ERP averaging allows one to capture the underlying signal embedded in noise. The fidelity of signal averaging depends on the cumulative history of latency and amplitude fluctuations gathered from trial-to-trial. Signals that exhibit randomly modulated periodicities are said to show partial coherence. A partially coherent time series is one that is measurably synchronized or phase locked with a periodic signal representation such as the Fourier components. Partial coherence is measured by examining the fluctuations or variance in these components. We use partial coherence to provide a regional assessment of ERP strength recorded from a patient's subdural electrode grid during auditory stimulation. We show that partial coherence varies as a function of location along the grid and exhibits exceedingly large values in areas both on and near the superior temporal gyrus.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages170-173
Number of pages4
ISBN (Electronic)0769501400, 9780769501406
DOIs
StatePublished - 1999
Event1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999 - Caesarea, Israel
Duration: Jun 14 1999Jun 16 1999

Publication series

NameProceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999

Other

Other1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999
Country/TerritoryIsrael
CityCaesarea
Period6/14/996/16/99

ASJC Scopus subject areas

  • Signal Processing
  • Statistics and Probability

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