Neurophysiological investigation of spontaneous correlated and anticorrelated fluctuations of the BOLD signal

Corey J. Keller, Stephan Bickel, Christopher J. Honey, David M. Groppe, Laszlo Entz, R. Cameron Craddock, Fred A. Lado, Clare Kelly, Michael Milham, Ashesh D. Mehta

Research output: Contribution to journalArticlepeer-review

176 Scopus citations

Abstract

Analyses of intrinsic fMRI BOLD signal fluctuations reliably reveal correlated and anticorrelated functional networks in the brain. Because the BOLD signal is an indirect measure of neuronal activity and anticorrelations can be introduced by preprocessing steps, such as global signal regression, the neurophysiological significance of correlated and anticorrelated BOLD fluctuations is a source of debate. Here, we address this question by examining the correspondence between the spatial organization of correlated BOLD fluctuations and correlated fluctuations in electrophysiological high y power signals recorded directly from the cortical surface of 5 patients. We demonstrate that both positive and negative BOLD correlations have neurophysiological correlates reflected in fluctuations of spontaneous neuronal activity. Although applying global signal regression to BOLD signals results in some BOLD anticorrelations that are not apparent in the ECoG data, it enhances the neuronal-hemodynamic correspondence overall. Together, these findings provide support for the neurophysiological fidelity of BOLD correlations and anticorrelations.

Original languageEnglish (US)
Pages (from-to)6333-6342
Number of pages10
JournalJournal of Neuroscience
Volume33
Issue number15
DOIs
StatePublished - Apr 10 2013

ASJC Scopus subject areas

  • General Neuroscience

Fingerprint

Dive into the research topics of 'Neurophysiological investigation of spontaneous correlated and anticorrelated fluctuations of the BOLD signal'. Together they form a unique fingerprint.

Cite this