Network asymmetry of motor areas revealed by resting-state functional magnetic resonance imaging |
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Authors: | Yan Li-Rong Wu Yi-Bo Hu De-Wen Qin Shang-Zhen Xu Guo-Zheng Zeng Xiao-Hua Song Hua |
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Affiliation: | a Department of Information, Wuhan General Hospital of Guangzhou Command, Wuluo Road 627, Wuhan 430070, China b Department of Unmanned Aerial Vehicle, Wuhan Mechanical Technology College, Wuhan 430075, China c Department of Automatic Control, College of Mechatronics and Automation, National University of Defense Technology, Changsha 410073, China d Department of Neurosurgery, Wuhan General Hospital of Guangzhou Command, Wuhan 430070, China e Department of Radiology, Wuhan General Hospital of Guangzhou Command, Wuhan 430070, China |
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Abstract: | There are ample functional magnetic resonance imaging (fMRI) studies on functional brain asymmetries, and the asymmetry of cerebral network in the resting state may be crucial to brain function organization. In this paper, a unified schema of voxel-wise functional connectivity and asymmetry analysis was presented and the network asymmetry of motor areas was studied. Twelve healthy male subjects with mean age 29.8 ± 6.4 were studied. Functional network in the resting state was described by using functional connectivity magnetic resonance imaging (fcMRI) analysis. Motor areas were selected as regions of interest (ROIs). Network asymmetry, including intra- and inter-network asymmetries, was formulated and analyzed. The intra-network asymmetry was defined as the difference between the left and right part of a particular functional network. The inter-network asymmetry was defined as the difference between the networks for a specific ROI in the left hemisphere and its homotopic ROI in the right hemisphere. Primary motor area (M1), primary sensory area (S1) and premotor area (PMA) exhibited higher functional correlation with the right parietal-temporal-occipital circuit and the middle frontal gyrus than they did with the left hemisphere. Right S1 and right PMA exhibited higher functional correlation with the ipsilateral precentral and supramarginal areas. There exist the large-scale hierarchical network asymmetries of the motor areas in the resting state. These asymmetries imply the right hemisphere dominance for predictive motor coding based on spatial attention and higher sensory processing load for the motor performance of non-dominant hemisphere. |
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Keywords: | BA, Brodmann's area fcMRI, functional connectivity magnetic resonance imaging FDR, false discovery rate fMRI, functional magnetic resonance imaging FWHM, full-width half-maximum M1, primary motor area OVBM, optimized voxel based morphometry PMA, premotor area ROI, region of interest S1, primary sensory area SMA, supplementary motor area SNR, signal-to-noise ratio SPC, superior parietal cortex |
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