来自科隆大学、杜塞尔多夫大学医院、哈佛医学院和柏林夏里特医院的研究团队发现了一个驱动脑深部刺激治疗效果的隐藏脑网络及其独特电节律1。该研究对50名患者的100个脑半球进行了分析，通过同时记录植入电极的脑活动和脑磁图数据，首次能够同时从空间和时间维度表征帕金森病患者的脑深部刺激反应网络1。
研究发现这一网络主要通过相对较快的贝塔节律进行通信，频率范围在20-35赫兹之间1。该节律强度与患者运动症状的改善程度存在关联1。科隆大学计算神经学专家Andreas Horn教授表示，"我们首次能够同时从空间和时间维度表征帕金森病的脑深部刺激反应网络"1。
这一发现为更精准的个性化刺激设置和更好的患者预后奠定了基础1。相关研究已发表在2026年《Brain》期刊第149卷第7期（页码2395），DOI为10.1093/brain/awaf4451。
Researchers from multiple institutions have identified a previously unknown brain network and its distinctive electrical rhythm that drives the therapeutic effects of deep brain stimulation in Parkinson's disease patients.1 The network communicates primarily through relatively fast beta oscillations in the 20–35 hertz frequency range, with the intensity of this rhythm correlating to the degree of motor symptom improvement experienced by patients.1
The study, conducted across 50 patients representing 100 brain hemispheres, employed simultaneous recording of brain activity from deep brain stimulation implant electrodes and magnetoencephalography (MEG) to map the response network.1 According to the research team, "We are now able to characterize the deep brain stimulation response network in Parkinson's disease for the first time, both spatially and temporally."1 The findings, led by Dr. Bahne Bahners and Professor Andreas Horn of the University of Cologne's computational neurology program, were published in Brain journal in 2026, volume 149, issue 7, pages 2395.1 This discovery potentially establishes a foundation for more precise, individualized stimulation settings and improved patient outcomes.1
评论
还没有评论，欢迎留下第一条。