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Task- and frequency-specific brain network reorganization in patients with rotator cuff injury
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DOI：10.1016/j.bspc.2026.110696.png)
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Abstract
En 中文
This study aimed to investigate neurophysiological evidence of task- and frequency-specific brain network reorganization after rotator cuff injury (RCI) and to explore its potential relevance for rehabilitation. Specifically, EEG source localization combined with weighted phase-lag index (WPLI) connectivity analysis was performed on data from 51 RCI patients and 50 healthy controls. Group-level differences in functional networks were identified using network-based statistics (NBS), and both global and subnetwork graph-theoretical metrics were quantified. A naïve Bayes classifier was trained and five-fold cross-validated using global and subnetwork features that showed significant group differences. Results showed that RCI patients exhibited higher global efficiency and clustering coefficients, whereas healthy controls showed greater modularity and longer characteristic path length; significant differences were observed across the α-, β-, low-γ-, and high-γ-band. NBS analysis further revealed enhanced β- (13–30 Hz) and low-γ-band (30–50 Hz) connectivity in RCI within altered cross-regional subnetworks involving frontal, parietal, occipital, thalamic, subcortical, and atlas-defined cerebellar regions. Subnetwork metrics were significantly elevated in the RCI group (p < 0.001). Classification accuracies exceeded 90% in the β- and low-γ-bands, suggesting that mid-frequency oscillatory network features are particularly sensitive to RCI-related sensorimotor reorganization. Overall, these findings indicate that RCI is associated with frequency-specific functional network reorganization characterized by increased integration and reduced modularity, with prominent changes observed in cerebellar-related circuits.
Keywords:
rotator cuff injury
brain network reorganization
EEG source localization
functional connectivity
frequency-specific changes
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