Dual Oscillatory Signatures in Pallidal Circuits Underlie Symptom Complexity in Huntington's Disease Patients

神经科学 脑深部刺激 疾病 电生理学 对偶(语法数字) 退行性疾病 帕金森病 心理学 医学 刺激 神经系统疾病 运动症状 中枢神经系统疾病 神经影像学 脑电图 神经生理学 运动障碍 神经学 神经网络 功能连接 电诊断 脑刺激 生物神经网络 大脑定位
作者
Yan Xu,Zixiao. Yin,Houyou Fan,Yutong Bai,Qi An,Zi-Ming Zhao,Yifei Gan,Yanwen Wang,Tianxue Hu,Hutao Xie,Yu Diao,Jinhui Yin,Yue Huang,Lin Shi,Guanyu Zhu,Yanjun Guo,Jean‐Marc Burgunder,Jianguo Zhang,Anchao Yang
出处
期刊:Movement Disorders [Wiley]
标识
DOI:10.1002/mds.70290
摘要

BACKGROUND: Huntington's disease (HD) presents a unique clinical challenge with coexisting hyperkinetic and hypokinetic symptoms, yet the underlying neural oscillatory mechanisms remain poorly understood. OBJECTIVE: The aim of this study was to characterize pathological pallidal neural activity in HD and identify biomarkers for therapeutic optimization. METHODS: We investigated pallidal oscillatory patterns in 15 patients with HD undergoing deep brain stimulation, recording video-synchronized local field potentials during symptom fluctuations and comparing findings with patients with Parkinson's disease and dystonia. RESULTS: HD exhibited distinct pallidal oscillatory signatures that differed from PD and dystonia. Theta power (2-8 Hz) increased during hyperkinetic states, whereas high beta power (20-30 Hz) elevated during hypokinetic states, both correlating significantly with clinical symptom severity. These patterns were not modulated by voluntary movement. Electrophysiological connectivity analysis integrated with neuroimaging analysis showed that globus pallidum externus-globus pallidus internus theta coherence correlated with indirect pathway structural connectivity, whereas pallidal high beta power associated with direct pathway functional connectivity, reflecting HD's dual circuit pathology. Spatial mapping localized theta oscillations to the posterior globus pallidus, with fibers projecting to motor cortical areas. CONCLUSIONS: We establish an electrophysiological framework explaining HD's complex symptomatology through dual oscillatory signatures. These findings provide circuit-specific biomarkers for disease monitoring and anatomical targets for optimizing deep brain stimulation in patients with HD. © 2026 International Parkinson and Movement Disorder Society.
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