Objective

Bradykinesia has been associated with beta and gamma band interactions in the basal ganglia-thalamo-cortical circuit in Parkinson’s disease. In this present cross-sectional study, we aimed to search for neural networks with electroencephalography whose frequency-specific actions may predict bradykinesia.

Methods

Twenty Parkinsonian patients treated with bilateral subthalamic stimulation were first prescreened while we selected four levels of contralateral stimulation (0: OFF, 1–3: decreasing symptoms to ON state) individually, based on kinematics. In the screening period, we performed 64-channel electroencephalography measurements simultaneously with electromyography and motion detection during a resting state, finger tapping, hand grasping tasks, and pronation-supination of the arm, with the four levels of contralateral stimulation. We analyzed spectral power at the low (13–20 Hz) and high (21–30 Hz) beta frequency bands and low (31–60 Hz) and high (61–100 Hz) gamma frequency bands using the dynamic imaging of coherent sources. Structural equation modelling estimated causal relationships between the slope of changes in network beta and gamma activities and the slope of changes in bradykinesia measures.

Results

Activity in different subnetworks, including predominantly the primary motor and premotor cortex, the subthalamic nucleus predicted the slopes in amplitude and speed while switching between stimulation levels. These subnetwork dynamics on their preferred frequencies predicted distinct types and parameters of the movement only on the contralateral side.

Discussion

Concurrent subnetworks affected in bradykinesia and their activity changes in the different frequency bands are specific to the type and parameters of the movement; and the primary motor and premotor cortex are common nodes.

中文翻译：

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频率特异性网络活动预测帕金森病运动迟缓的严重程度

客观的

运动迟缓与帕金森病的基底神经节-丘脑-皮质回路中的 β 和 γ 带相互作用有关。在这项横断面研究中，我们的目的是寻找具有脑电图的神经网络，其特定频率的动作可以预测运动迟缓。

方法

首先对 20 名接受双侧丘脑底刺激治疗的帕金森病患者进行预筛选，同时我们根据运动学分别选择了四个水平的对侧刺激（0：关闭，1-3：将症状减轻至开启状态）。在筛选期间，我们在静息状态、手指敲击、手抓握任务和手臂旋前旋后同时进行64通道脑电图测量，同时进行肌电图和运动检测，并进行四个级别的对侧刺激。我们使用相干源的动态成像分析了低（13-20 Hz）和高（21-30 Hz）β频带以及低（31-60 Hz）和高（61-100 Hz）伽马频带的光谱功率。结构方程模型估计了网络 beta 和 gamma 活动变化斜率与运动迟缓测量变化斜率之间的因果关系。

结果

不同子网络的活动，主要包括初级运动皮层和前运动皮层，底丘脑核预测刺激水平之间切换时幅度和速度的斜率。这些子网络动态在其首选频率上预测仅在对侧的运动的不同类型和参数。

讨论

受运动迟缓影响的并发子网络及其在不同频带中的活动变化特定于运动的类型和参数；初级运动皮层和前运动皮层是公共节点。