ArticleCNS neuroscience & therapeutics2026
Geometric Microstructural Characteristics of White Matter Differentiate Patients With Facial Dyskinesias and Palsy.
Article in CNS neuroscience & therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Geometric Microstructural Characteristics of White Matter Differentiate Patients With Facial Dyskinesias and Palsy.CNS neuroscience & therapeutics · 2026Article
- Application of magnetic resonance diffusion tensor imaging for the treatment of hemifacial spasm.American journal of translational research · 2026Article
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Authors and funding
13 authors.
Funding
Abstract
purposeThe heterogeneous and homogeneous clinical manifestations of peripheral facial palsy (FP), hemifacial spasm (HFS), and Meige's syndrome (MS) complicate the differentiation of diagnoses for these facial motor diseases. To comprehensively investigate the white matter microstructural characteristics in patients with facial dyskinesias and palsy using geometric and integrity metrics in DTI. MATERIAL AND
methodsIn this prospective study conducted from September 2020 to January 2022, patients with FP, HFS, and MS, as well as sex-matched healthy control subjects, underwent 3.0 T MRI. Geometric metrics (i.e., splay, bend, twist, and total distortion) based on "Director Field Analysis" and fractional anisotropy (FA) and mean diffusivity (MD) were calculated from DTI data. Cross-sectional tract-based spatial statistics were performed among FP, HFS, MS patients, and healthy controls. The correlation between disease severity and DTI metrics was evaluated. Additionally, the geometric microstructural properties combining FA and MD were used to classify FP, HFS, and MS patients using machine learning methods.
resultsGeometric metrics and FA/MD were widely altered across white matter in FP and HFS patients compared with healthy controls. However, in MS patients only DFA metrics were significantly altered. FA and DFA values strongly correlated with the severity of facial movement disorder in FP patients. Combing conventional FA/MD value with DFA metrics enabled the diagnostic differentiation of FP and HFS from MS.
conclusionOur findings demonstrated that the geometric microstructural information of white matter fibers could provide novel insight into the underlying pathological changes in facial dyskinesias and palsy.
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