Intrinsic functional architecture of the non-human primate spinal cord derived from fMRI and electrophysiology

Tung-Lin Wu (), Pai-Feng Yang, Feng Wang, Zhaoyue Shi, Arabinda Mishra, Ruiqi Wu, Li Min Chen and John C. Gore
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Tung-Lin Wu: Vanderbilt University Institute of Imaging Science
Pai-Feng Yang: Vanderbilt University Institute of Imaging Science
Feng Wang: Vanderbilt University Institute of Imaging Science
Zhaoyue Shi: Vanderbilt University Institute of Imaging Science
Arabinda Mishra: Vanderbilt University Institute of Imaging Science
Ruiqi Wu: Vanderbilt University Institute of Imaging Science
Li Min Chen: Vanderbilt University Institute of Imaging Science
John C. Gore: Vanderbilt University Institute of Imaging Science

Nature Communications, 2019, vol. 10, issue 1, 1-10

Abstract: Abstract Resting-state functional MRI (rsfMRI) has recently revealed correlated signals in the spinal cord horns of monkeys and humans. However, the interpretation of these rsfMRI correlations as indicators of functional connectivity in the spinal cord remains unclear. Here, we recorded stimulus-evoked and spontaneous spiking activity and local field potentials (LFPs) from monkey spinal cord in order to validate fMRI measures. We found that both BOLD and electrophysiological signals elicited by tactile stimulation co-localized to the ipsilateral dorsal horn. Temporal profiles of stimulus-evoked BOLD signals covaried with LFP and multiunit spiking in a similar way to those observed in the brain. Functional connectivity of dorsal horns exhibited a U-shaped profile along the dorsal-intermediate-ventral axis. Overall, these results suggest that there is an intrinsic functional architecture within the gray matter of a single spinal segment, and that rsfMRI signals at high field directly reflect this underlying spontaneous neuronal activity.

Date: 2019
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DOI: 10.1038/s41467-019-09485-3

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