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ORIGINAL RESEARCH article

Front. Syst. Neurosci.

Volume 19 - 2025 | doi: 10.3389/fnsys.2025.1654795

This article is part of the Research TopicSpatial and Regional Mapping of Brain Neural CommunicationView all 3 articles

Brain functional network topology and connectivity in primary blepharospasm

Provisionally accepted
Xin-Xin  YaoXin-Xin YaoHua-Liang  LiHua-Liang LiShu  WangShu WangSi-Yu  GuSi-Yu GuJian-Bin  HuJian-Bin HuWen-Hui  LiWen-Hui LiPing-Lei  PanPing-Lei Pan*
  • Nantong University, Nantong, China

The final, formatted version of the article will be published soon.

Background: The pathophysiology of primary blepharospasm (BSP) remains incompletely understood. This study aimed to characterize whole-brain functional network topology in treatment-naive BSP patients. Methods: Thirty-nine treatment-naive BSP patients and 39 matched healthy controls (HCs) underwent resting-state fMRI. Graph theoretical analysis was applied to assess global and nodal network metrics. Network-Based Statistics (NBS) identified subnetworks with altered functional connectivity (FC). Correlations between network metrics and clinical variables (Jankovic Rating Scale [JRS], illness duration) were explored. Results: Compared to HCs, BSP patients exhibited significantly lower local efficiency (p = 0.0002, false discovery rate [FDR] corrected), while global efficiency, characteristic path length, clustering coefficient, normalized clustering coefficient, normalized characteristic path length, or small-worldness were preserved (all p > 0.05, FDR corrected). Nodal analysis revealed decreased efficiency/degree in the bilateral thalamus and left supplementary motor area, and increased efficiency/degree in the bilateral precentral gyri, right postcentral gyrus, and left insula (all p < 0.05, FDR corrected). NBS identified subnetworks with altered FC across sensorimotor, limbic-subcortical, frontoparietal, and default mode networks, featuring both hyper- and hypo-connectivity (p < 0.05, NBS-corrected). Notably, left thalamic efficiency negatively correlated with illness duration (r = -0.481, p = 0.0019), and right precentral gyrus efficiency positively correlated with JRS total score (r = 0.395, p = 0.0129). Conclusions: BSP is characterized by complex functional network disruptions, including impaired local information processing, altered nodal importance in key motor and relay hubs, and widespread connectivity changes. These findings reinforce BSP as a network disorder. These network alterations may serve as objective markers for disease progression and could guide the development of targeted neuromodulation therapies.

Keywords: Blepharospasm, Resting-state fMRI, graph theory, network topology, functional connectivity

Received: 26 Jun 2025; Accepted: 25 Sep 2025.

Copyright: © 2025 Yao, Li, Wang, Gu, Hu, Li and Pan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Ping-Lei Pan, panpinglei@163.com

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