Layer-specific interhemispheric functional connectivity in the somatosensory cortex of rats: resting state electrophysiology and fMRI studies
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Author(s) • • • • • • • •
Baek, Kwangyeol
Jeong, Jaeseung
Radhakrishnan, Harsha
Shim, Woo Hyun
Biswal, Bharat B.
Kim, Young R.
Rosen, Bruce R
Boas, David A
Franceschini, Maria Angela
Date Issued
June 2015
Journal
Brain Structure and Function
Publisher
Springer Berlin Heidelberg
Citation
Baek, Kwangyeol et al. “Layer-Specific Interhemispheric Functional Connectivity in the Somatosensory Cortex of Rats: Resting State Electrophysiology and fMRI Studies.” Brain Structure and Function 221.5 (2016): 2801–2815.
Version
Author's final manuscript
Abstract
The spontaneous cerebral hemodynamic fluctuations observed during the resting state have been frequently visualized using functional magnetic resonance imaging (rsfMRI). However, the neuronal populations and neuroelectric characteristics underlying the functional connectivity of cerebrohemodynamic activities are poorly understood. We investigated the characteristics of bi-hemispheric functional connectivity via electrophysiology and rsfMRI in the primary sensory cortex of rats anesthetized by α-chloralose. Unlike the evoked responses, the spontaneous electrophysiological activity was concentrated in the infragranular layers and could be classified into subtypes with distinctive current sources and sinks. Both neuroelectric and rsfMRI signals were interhemispherically correlated in a layer-specific manner, suggesting that there are independent neural inputs to infragranular and granular/supragranular layers. The majority of spontaneous electrophysiological activities were bilaterally paired with delays of up to ~50 ms between each pair. The variable interhemispheric delay implies the involvement of indirect, multi-neural pathways. Our findings demonstrated the diverse activity patterns of layer-specific electrophysiological substrates and suggest the recruitment of multiple, non-specific brain regions in construction of interhemispheric functional connectivity.
MIT Department
Institute for Medical Engineering and Science
Harvard University--MIT Division of Health Sciences and Technology
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1007/s00429-015-1073-0