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Different macaque brain network remodeling after spinal cord injury and NT3 treatment.


ABSTRACT: Graph theory-based analysis describes the brain as a complex network. Only a few studies have examined modular composition and functional connectivity (FC) between modules in patients with spinal cord injury (SCI). Little is known about the longitudinal changes in hubs and topological properties at the modular level after SCI and treatment. We analyzed differences in FC and nodal metrics reflecting modular interaction to investigate brain reorganization after SCI-induced compensation and neurotrophin-3 (NT3)-chitosan-induced regeneration. Mean inter-modular FC and participation coefficient of areas related to motor coordination were significantly higher in the treatment animals than in the SCI-only ones at the late stage. The magnocellular part of the red nucleus may reflect the best difference in brain reorganization after SCI and therapy. Treatment can enhance information flows between regions and promote the integration of motor functions to return to normal. These findings may reveal the information processing of disrupted network modules.

SUBMITTER: Feng T 

PROVIDER: S-EPMC10291247 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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Different macaque brain network remodeling after spinal cord injury and NT3 treatment.

Feng Ting T   Zhao Can C   Rao Jia-Sheng JS   Guo Xiao-Jun XJ   Bao Shu-Sheng SS   He Le-Wei LW   Zhao Wen W   Liu Zuxiang Z   Yang Zhao-Yang ZY   Li Xiao-Guang XG  

iScience 20230429 6


Graph theory-based analysis describes the brain as a complex network. Only a few studies have examined modular composition and functional connectivity (FC) between modules in patients with spinal cord injury (SCI). Little is known about the longitudinal changes in hubs and topological properties at the modular level after SCI and treatment. We analyzed differences in FC and nodal metrics reflecting modular interaction to investigate brain reorganization after SCI-induced compensation and neurotr  ...[more]

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