Berki Ádám József, Ding Hao, Palotai Marcell, Halász László, Erőss Loránd, Fekete Gábor, Bognár László, Barsi Péter, Kelemen Andrea, Jávor-Duray Borbála, Pichner Éva, Muthuraman Muthuraman, Tamás Gertrúd
Department of Neurology, Semmelweis University, Budapest, Hungary.
Department of Neurology, Julius-Maximilians-Universität of Würzburg, Würzburg, Germany.
NPJ Parkinsons Dis. 2025 Apr 26;11(1):95. doi: 10.1038/s41531-025-00965-6.
Compound network dynamics in beta and gamma bands determine the severity of bradykinesia in Parkinson's disease. We explored its subthalamic stimulation related changes parallel with improvement of complex hand movements. Thirty eight patients with Parkinson's disease treated with bilateral stimulation accomplished voluntary and traced spiral drawing with their more affected hand on a digital tablet. A 64 channel electroencephalography was recorded, low and high beta and gamma power was computed in subthalamic and motor cortical sources at four stimulation levels. Subthalamic cortical effective connectivity was calculated, and subnetwork models were created. Beta power decreased, and gamma power increased in sources ipsilateral to stimulation with increasing stimulation intensity. Networks comprising the primary motor cortex played a dominant role in predicting the improvement of voluntary drawing speed. Subthalamic stimulation diminished the hyperdirect high beta information processing and promoted the cortico cortical interactions of the primary motor cortex in the high gamma band.
β和γ频段的复合网络动力学决定帕金森病运动迟缓的严重程度。我们探讨了其与丘脑底核刺激相关的变化以及复杂手部运动改善情况的关联。38例接受双侧刺激治疗的帕金森病患者用其受影响较重的手在数位板上完成自愿的和追踪螺旋线绘图。记录64通道脑电图，在四个刺激水平下计算丘脑底核和运动皮层源的低β和高β以及γ功率。计算丘脑底核-皮层有效连接性，并创建子网模型。随着刺激强度增加，刺激同侧源的β功率降低，γ功率增加。包含初级运动皮层的网络在预测自愿绘图速度的改善方面起主导作用。丘脑底核刺激减少了超直接高β信息处理，并促进了初级运动皮层在高γ频段的皮质-皮质相互作用。
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