Altered Dynamic Brain Functional Network Connectivity Related to Visual Network in Spinal Cord Injury

Visual feedback training (VFT) plays an important role in the motor rehabilitation of patients with spinal cord injury (SCI). However, the neural mechanisms are unclear. We aimed to investigate the changes in dynamic functional network connectivity (FNC) related to visual networks (VN) in patients with SCI and to reveal the neural mechanism of VFT promoting motor function rehabilitation. Dynamic FNC and the sliding window method were performed in 18 complete SCI (CSCI), 16 patients with incomplete SCI (ISCI), and 42 healthy controls (HCs). Then, k-mean clustering was implemented to identify discrete FNC states, and temporal properties were computed. The correlations between these dynamic features and neurological parameters in all patients with SCI were calculated. The majority of aberrant FNC was manifested between VN and executive control network (ECN). In addition, compared with HCs, temporal metrics derived from state transition vectors were decreased in patients with CSCI including the mean dwell time and the fraction of time spent in state 3. Furthermore, the disrupted FNC between salience network and ECN in state 2 and the number of transitions were all positively correlated with neurological scores in patients with SCI. Our findings indicated that SCI could result in VN-related FNC alterations, revealing the possible mechanism for VFT in rehabilitation of patients with SCI and increasing the training efficacy and promoting rehabilitation for SCI.

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Publication Details

Journal
Journal of Neurotrauma
Published
2024-11-19
DOI
https://doi.org/10.1089/neu.2024.0318
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.34
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article

Altered Dynamic Brain Functional Network Connectivity Related to Visual Network in Spinal Cord Injury

Haotian Xin, Li Fang, Beining Yang, Qian Chen et al.
1 citations
Journal of Neurotrauma
EEG and Brain-Computer Interfaces
0.34
article

Altered Dynamic Brain Functional Network Connectivity Related to Visual Network in Spinal Cord Injury

Haotian Xin, Li Fang, Beining Yang, Qian Chen, Jie Lu, Ling Wang, Nan Chen, Yulong Jia, Chuchu Sun, Xin Chen, Jubao Du, Yu Wang, Weimin Zheng, Qunya Qi
article en
1 citations

Abstract

Visual feedback training (VFT) plays an important role in the motor rehabilitation of patients with spinal cord injury (SCI). However, the neural mechanisms are unclear. We aimed to investigate the changes in dynamic functional network connectivity (FNC) related to visual networks (VN) in patients with SCI and to reveal the neural mechanism of VFT promoting motor function rehabilitation. Dynamic FNC and the sliding window method were performed in 18 complete SCI (CSCI), 16 patients with incomplete SCI (ISCI), and 42 healthy controls (HCs). Then, k-mean clustering was implemented to identify discrete FNC states, and temporal properties were computed. The correlations between these dynamic features and neurological parameters in all patients with SCI were calculated. The majority of aberrant FNC was manifested between VN and executive control network (ECN). In addition, compared with HCs, temporal metrics derived from state transition vectors were decreased in patients with CSCI including the mean dwell time and the fraction of time spent in state 3. Furthermore, the disrupted FNC between salience network and ECN in state 2 and the number of transitions were all positively correlated with neurological scores in patients with SCI. Our findings indicated that SCI could result in VN-related FNC alterations, revealing the possible mechanism for VFT in rehabilitation of patients with SCI and increasing the training efficacy and promoting rehabilitation for SCI.

Journal of NeurotraumaVol. 42(3-4)
Capital Medical University (CN), Beijing Friendship Hospital (CN)
Openalex Percentile: Top 39%
EEG and Brain-Computer Interfaces
0.34
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