Liu Xiaowei, Guang Jing, Glowinsky Stefanie, Abadi Hodaya, Arkadir David, Linetsky Eduard, Abu Snineh Muneer, León Juan F, Israel Zvi, Wang Wei, Bergman Hagai
Department of Neurosurgery, West China Hospital, West China School of Medicine, Sichuan University, Guoxue Lane No. 37, Chengdu, 610041, Sichuan, China.
The Edmond and Lily Safra Center for Brain Science, The Hebrew University, Jerusalem, Israel.
NPJ Parkinsons Dis. 2024 Jun 15;10(1):117. doi: 10.1038/s41531-024-00737-8.
The subthalamic nucleus (STN) is pivotal in basal ganglia function in health and disease. Micro-electrode recordings of >25,000 recording sites from 146 Parkinson's patients undergoing deep brain stimulation (DBS) allowed differentiation between subthalamic input, represented by local field potential (LFP), and output, reflected in spike discharge rate (SPK). As with many natural systems, STN neuronal activity exhibits power-law dynamics characterized by the exponent α. We, therefore, dissected STN data into aperiodic and periodic components using the Fitting Oscillations & One Over F (FOOOF) tool. STN LFP showed significantly higher aperiodic exponents than SPK. Additionally, SPK beta oscillations demonstrated a downward frequency shift compared to LFP. Finally, the STN aperiodic and spiking parameters explained a significant fraction of the variance of the burden and treatment efficacy of Parkinson's disease. The unique STN input-output dynamics may clarify its role in Parkinson's physiology and can be utilized in closed-loop DBS therapy.
丘脑底核(STN)在健康和疾病状态下的基底神经节功能中起着关键作用。对146名接受深部脑刺激(DBS)的帕金森病患者的超过25000个记录位点进行微电极记录,使得能够区分以局部场电位(LFP)表示的丘脑底核输入和以动作电位发放率(SPK)反映的输出。与许多自然系统一样,STN神经元活动表现出以指数α为特征的幂律动力学。因此,我们使用拟合振荡与1/f(FOOOF)工具将STN数据分解为非周期性和周期性成分。STN的LFP显示出比SPK显著更高的非周期性指数。此外,与LFP相比,SPK的β振荡表现出向下的频率偏移。最后,STN的非周期性和放电参数解释了帕金森病负担和治疗效果方差的很大一部分。STN独特的输入-输出动力学可能阐明其在帕金森病生理学中的作用,并可用于闭环DBS治疗。