Correlated inter-regional variations in low frequency local field potentials and resting state BOLD signals within S1 cortex of monkeys.
The 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.
Vanderbilt University Institute of Imaging Science, Nashville, Tennessee.|Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
George H
GH
Wilson
Vanderbilt University Institute of Imaging Science, Nashville, Tennessee.|Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
Pai-Feng
PF
Yang
Vanderbilt University Institute of Imaging Science, Nashville, Tennessee.|Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
John C
JC
Gore
Vanderbilt University Institute of Imaging Science, Nashville, Tennessee.|Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
Li Min
LM
Chen
D000818:Animals; D001931:Brain Mapping / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging; D012146:Rest / Q000502:physiology; D012453:Saimiri; D013003:Somatosensory Cortex / Q000502:physiology*
LFP; fMRI; non-human primate; resting state functional connectivity; somatosensory cortex