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journal article Apr 19, 2016

Correlated inter‐regional variations in low frequency local field potentials and resting state BOLD signals within S1 cortex of monkeys

George H. Wilson Pai‐Feng Yang John C. Gore ORCID Li Min Chen ORCID
Human Brain Mapping Vol. 37 No. 8 pp. 2755-2766 · Wiley
View at Publisher Save 10.1002/hbm.23207
Abstract
AbstractThe hypothesis that specific frequency components of the spontaneous local field potentials (LFPs) underlie low frequency fluctuations of resting state fMRI (rsfMRI) signals was tested. The previous analyses of rsfMRI signals revealed differential inter‐regional correlations among areas 3a, 3b, and 1 of primary somatosensory cortex (S1) in anesthetized monkeys (Wang et al. [2013]: Neuron 78:1116–1126). Here LFP band(s) which correlated between S1 regions, and how these inter‐regional correlation differences covaried with rsfMRI signals were examined. LFP signals were filtered into seven bands (delta, theta, alpha, beta, gamma low, gamma high, and gamma very high), and then a Hilbert transformation was applied to obtain measures of instantaneous amplitudes and temporal lags between regions of interest (ROI) digit–digit pairs (areas 3b–area 1, area 3a–area 1, area 3a–area 3b) and digit–face pairs (area 3b–face, area 1–face, and area 3a–face). It was found that variations in the inter‐regional correlation strengths between digit–digit and digit–face pairs in the delta (1–4 Hz), alpha (9–14 Hz), beta (15–30 Hz), and gamma (31–50 Hz) bands parallel those of rsfMRI signals to varying degrees. Temporal lags between digit–digit area pairs varied across LFP bands, with area 3a mostly leading areas 1/2 and 3b. In summary, the data demonstrates that the low and middle frequency range (1–50 Hz) of spontaneous LFP signals similarly covary with the low frequency fluctuations of rsfMRI signals within local circuits of S1, supporting a neuronal electrophysiological basis of rsfMRI signals. Inter‐areal LFP temporal lag differences provided novel insights into the directionality of information flow among S1 areas at rest. Hum Brain Mapp 37:2755–2766, 2016. © 2016 Wiley Periodicals, Inc.
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Cited By
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The VALiDATe29 MRI Based Multi-Channel Atlas of the Squirrel Monkey Brain

Kurt G. Schilling, Yurui Gao · 2017

Neuroinformatics
Metrics
23
Citations
90
References
Details
Published
Apr 19, 2016
Vol/Issue
37(8)
Pages
2755-2766
License
View
Authors
G
George H. Wilson

Vanderbilt University Institute of Imaging Science Nashville Tennessee; Department of Radiology and Radiological Sciences Vanderbilt University Medical Center Nashville Tennessee

P
Pai‐Feng Yang

Vanderbilt University Institute of Imaging Science Nashville Tennessee; Department of Radiology and Radiological Sciences Vanderbilt University Medical Center Nashville Tennessee

J
John C. Gore

Vanderbilt University Institute of Imaging Science Nashville Tennessee; Department of Radiology and Radiological Sciences Vanderbilt University Medical Center Nashville Tennessee

L
Li Min Chen

Vanderbilt University Institute of Imaging Science Nashville Tennessee; Department of Radiology and Radiological Sciences Vanderbilt University Medical Center Nashville Tennessee

Funding
National Institutes of Health Award: NS078680 (JCG) and NS069909 (LMC)
Cite This Article
George H. Wilson, Pai‐Feng Yang, John C. Gore, et al. (2016). Correlated inter‐regional variations in low frequency local field potentials and resting state BOLD signals within S1 cortex of monkeys. Human Brain Mapping, 37(8), 2755-2766. https://doi.org/10.1002/hbm.23207
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