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Neuromodulation-induced normalization of cortical metastable dynamics signatures in Parkinson’s disease

  • Chenfei Ye
  • , Chen Ran
  • , Yongxin Xu
  • , Chunguang Chu
  • , Chenhao Yang
  • , Chencheng Zhang*
  • , Yu Liu*
  • , Ting Ma*
  • *Corresponding author for this work
  • School of Biomedical Engineering, Harbin Institute of Technology Shenzhen
  • Harbin Institute of Technology Shenzhen
  • Shanghai University of Sport
  • Shanghai Jiao Tong University

Research output: Contribution to journalArticlepeer-review

Abstract

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) alleviates motor symptoms in Parkinson’s disease (PD), but how it modulates whole-brain dynamics to drive therapeutic effects remains unclear. We hypothesized that STN-DBS restores signatures of cortical metastability—a dynamic balance between integration and segregation of neural networks—critical for adaptive behavior. Using a novel Weighted Eigenvector Dynamics Analysis (WEiDA) on resting-state fMRI data from PD patients, we identified four recurring probabilistic metastable substates (PMS). PD patients exhibited aberrantly low occupancy of a state characterized by decoupling between visual (VN) and somatomotor/ventral attention (SMN/VAN) networks (State V-VA/SM), which normalized with DBS and correlated with motor improvement. This rebalancing was mediated by decreased local metastability and enhanced functional segregation between VN and SMN/VAN modules, linked to cholinergic gene expression (CHRNA10). Notably, analogous normalization of metastable dynamics and symptom relief emerged during noninvasive STN-targeted temporal interference stimulation (tTIS), indicating converged network-level mechanisms across neuromodulation modalities. Our findings highlight cortical metastability signatures as a potential substrate for DBS efficacy in PD, bridging invasive and noninvasive therapeutic strategies through dynamic brain state modulation.

Original languageEnglish
Article number150
Journalnpj Parkinson's Disease
Volume12
Issue number1
DOIs
StatePublished - Dec 2026
Externally publishedYes

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