Shared and Specific Patterns of Brain Functional Network Abnormalities in Patients With Idiopathic Dystonia and Across Subtypes
AIMS: Accumulating neuroimaging evidence showed that idiopathic dystonia is a large-scale network disorder, but whether the various clinical sub-types shared imaging abnormalities remains controversial. We aimed to determine whether various forms of idiopathic dystonia have common topological changes or are distinct entities. METHODS: Resting-state functional magnetic resonance imaging and clinical data were obtained from 215 patients with various forms of dystonia and 160 healthy controls (HCs). Whole-brain functional networks were constructed, and the topological parameters were calculated via graph theoretical analyses. Networks were compared between patients with idiopathic dystonia and HCs and in subgroup analyses (each dystonia subtype vs. HCs; one-to-one and one-to-many comparisons among blepharospasm [BSP], blepharospasm-oromandibular dystonia [BOD], and cervical dystonia [CD] subgroups). Then, we analyzed the relationship between network topological changes and clinical characteristics in patients with idiopathic dystonia. RESULTS: Compared to HCs, patients with idiopathic dystonia exhibited alterations in network integration and segregation. Subgroup analyses revealed similar changes in BSP and BOD but not in CD. Regionally, degree centrality and nodal efficiency (Ne) in the somatomotor network of patients with idiopathic dystonia decreased and increased in the subcortical and cerebellar networks. Decreased nodal clustering coefficient (Ncp) and nodal local efficiency were observed in the visual and subcortical networks. Similar regional alterations were observed in patients with BSP. Patients with idiopathic dystonia showed additional hub regions. Correlation analyses showed that higher Ne in visual and cerebellar networks correlated positively, and lower Ncp correlated negatively in the visual network with motor severity in patients with BSP. CONCLUSION: Our findings suggest that patients with BSP and BOD share extensive reorganization in the large-scale functional network.
Authors
- Zhicong Yan (ORCID: https://orcid.org/0000-0003-3363-7713)
- Huiming Liu
- Qingmao Hu (ORCID: https://orcid.org/0000-0002-2465-0556)
- Jinping Xu (ORCID: https://orcid.org/0000-0003-3877-5445)
- Yuhan Luo (ORCID: https://orcid.org/0009-0007-0458-1091)
- Shuai Liu (ORCID: https://orcid.org/0000-0002-0699-2296)
- Zilin Ou
- Linchang Zhong
- Jiana Zhang
- Kangqiang Peng
- Weixi Zhang
Institutions
- Sun Yat-sen University (CN)
- Shenzhen University (CN)
- Chinese Academy of Sciences (CN)
- Shenzhen Institutes of Advanced Technology (CN)
- Sun Yat-sen University Cancer Center (CN)
- Shenzhen Technology University (CN)
Publication Details
- Journal
- CNS Neuroscience & Therapeutics
- Published
- 2026-04-01
- DOI
- https://doi.org/10.1002/cns.70816
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Guangdong Provincial Translational Medicine Innovation Platform for Diagnosis and Treatment of Major Neurological Disease
- National Natural Science Foundation of China
- Natural Science Foundation of Guangdong Province
- Guangzhou Municipal Science and Technology Project