Li Yongjie, Zeng Yuqi, Lin Mangui, Wang Yingqing, Ye Qinyong, Meng Fangang, Cai Guofa, Cai Guoen
College of Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.
Department of Neurology, Fujian Medical University Union Hospital, Fuzhou 350001, China.
Brain Sci. 2023 Apr 28;13(5):737. doi: 10.3390/brainsci13050737.
Parkinson's disease (PD) can be divided into postural instability and difficult gait (PIGD) and tremor dominance (TD) subtypes. However, potential neural markers located in the dorsal ventral side of the subthalamic nucleus (STN) for delineating the two subtypes of PIGD and TD have not been demonstrated. Therefore, this study aimed to investigate the spectral characteristics of PD on the dorsal ventral side. The differences in the β oscillation spectrum of the spike signal on the dorsal and ventral sides of the STN during deep brain stimulation (DBS) were investigated in 23 patients with PD, and coherence analysis was performed for both subtypes. Finally, each feature was associated with the Unified Parkinson's Disease Rating Scale (UPDRS). The β power spectral density (PSD) in the dorsal STN was found to be the best predictor of the PD subtype, with 82.6% accuracy. The PSD of dorsal STN β oscillations was greater in the PIGD group than in the TD group (22.17% vs. 18.22%; < 0.001). Compared with the PIGD group, the TD group showed greater consistency in the β and γ bands. In conclusion, dorsal STN β oscillations could be used as a biomarker to classify PIGD and TD subtypes, guide STN-DBS treatment, and relate to some motor symptoms.
帕金森病(PD)可分为姿势不稳和步态障碍(PIGD)型以及震颤为主(TD)型。然而,尚未证实位于丘脑底核(STN)背腹侧的潜在神经标志物可用于区分PIGD和TD这两种亚型。因此,本研究旨在探究PD在背腹侧的频谱特征。对23例PD患者在脑深部电刺激(DBS)期间STN背侧和腹侧的尖峰信号β振荡频谱差异进行了研究,并对两种亚型进行了相干分析。最后,将每个特征与统一帕金森病评定量表(UPDRS)相关联。发现STN背侧的β功率谱密度(PSD)是PD亚型的最佳预测指标,准确率达82.6%。PIGD组STN背侧β振荡的PSD高于TD组(22.17%对18.22%;<0.001)。与PIGD组相比,TD组在β和γ频段表现出更高的一致性。总之,STN背侧β振荡可作为一种生物标志物,用于对PIGD和TD亚型进行分类、指导STN-DBS治疗,并与某些运动症状相关。