Division of Basic Biomedical Sciences, Sanford School of Medicine, University of South Dakota, 414 E. Clark St., Vermillion, SD, 57069, USA.
Center for Brain and Behavior Research, University of South Dakota, Vermillion, SD, USA.
Cerebellum. 2022 Dec;21(6):1139-1143. doi: 10.1007/s12311-021-01343-7. Epub 2021 Nov 10.
Recent anatomical studies have shown connections between the basal ganglia and the cerebellum. The basal ganglia and cerebellum are major subcortical structures that influence motor and cognitive functions. Recent neuroimaging and animal studies have suggested the role of the cerebellum in the pathophysiology of Parkinson's disease. However, the role of cerebellar oscillations in PD has not been studied. Here, we recruited 75 PD and 39 healthy control subjects to collect cerebellar EEG during a resting-state condition. We followed the recently published protocols to collect cerebellar oscillations. Relative spectral power was computed in the delta, theta, beta, and gamma frequency bands. Further, we performed classifier methods to differentiate PD subjects from controls. We observed significantly increased theta-band (4-7 Hz) relative power in the cerebellar electrodes in PD subjects compared to controls. We also found differences in different frequency bands between mid-cerebellar and nearby mid-occipital EEG signals. Classification analysis using mid-cerebellar theta relative power showed differentiation between PD and control groups. Our results demonstrate that in addition to established cortical and basal ganglia oscillations, abnormal cerebellar oscillations in the theta-band may also participate in the underlying pathophysiology of PD. We suggest that low-frequency cerebellar oscillations may be a potential target for non-invasive neuromodulation to improve PD symptoms.
最近的解剖学研究表明基底节与小脑之间存在联系。基底节和小脑是影响运动和认知功能的主要皮质下结构。最近的神经影像学和动物研究表明小脑在帕金森病的病理生理学中的作用。然而,小脑振荡在 PD 中的作用尚未得到研究。在这里,我们招募了 75 名 PD 患者和 39 名健康对照者在静息状态下采集小脑 EEG。我们按照最近发表的方案来采集小脑振荡。在 delta、theta、beta 和 gamma 频带中计算相对光谱功率。此外,我们还使用分类器方法将 PD 患者与对照组区分开来。与对照组相比,我们观察到 PD 患者小脑电极的 theta 波段(4-7 Hz)相对功率显著增加。我们还发现中脑和附近中枕叶 EEG 信号之间不同频带之间存在差异。使用中脑 theta 相对功率的分类分析显示 PD 组与对照组之间的差异。我们的结果表明,除了已建立的皮质和基底节振荡外,theta 波段的异常小脑振荡也可能参与 PD 的潜在病理生理学。我们认为低频小脑振荡可能是改善 PD 症状的潜在非侵入性神经调节的目标。