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术前网络活动预测了对帕金森病的亚thalamic DBS 的反应

Prashin Unadkat¹, An Vo², Yilong Ma²

¹Center for Neurosciences, The Feinstein Institutes for Medical Research, Manhasset, NY, USA; Elmezzi Graduate School of Molecular Medicine, Manhasset, NY, USA; Department of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics

|July 30, 2025

概括

新的成像标记可以预测帕金森病 (PD) 患者对亚thalamic核深脑刺激 (STN-DBS) 的反应. 使用PET或fMRI进行手术前网络分析,识别可能从这种手术中受益的个人.

科学领域:

神经成像是一种神经成像.
系统神经科学系统神经科学
神经外科神经外科

背景情况:

脑下核深度大脑刺激 (STN-DBS) 是对帕金森病 (PD) 的手术治疗方法.
目前,缺乏用于预测STN-DBS结果的定量成像标记.
了解基线大脑电路对于患者选择至关重要.

研究的目的:

确定和验证用于预测帕金森病中STN-DBS治疗反应的定量成像标记.
为了研究基线网络表达和STN-DBS后的运动结果之间的关系.
评估在选择STN-DBS最佳候选人的前手术网络量化的实用性.

主要方法:

代谢性 pozitron 发射断层扫描 (PET) 和网络分析被用来识别STN StimNet.
在STN-DBS队列中,STN StimNet表达与运动改善相关.
术前PET和休息状态功能性MRI (fMRI) 用于测量网络表达.
分析了175名PD患者,以评估STN StimNet对STN-DBS结果的预测价值.

主要成果:

一个治疗诱导的地形,STN StimNet,被确定和验证.
在接受STN-DBS治疗的PD患者中,刺激介导的网络变化与运动改善相关.
手术前的STN StimNet表达,通过PET或fMRI测量,预测STN-DBS后的运动结果.
基线网络量化提供了对外科手术结果相关的大脑电路的见解.

结论:

使用代谢PET或fMRI进行手术前网络量化,可以预测接受STN-DBS的帕金森病患者的运动结果.
STN StimNet 作为一种潜在的成像生物标志物,用于 STN-DBS 的患者选择.
这种方法为PD治疗中的手术决策提供了有价值的信息.

关键词:

生物标志物生物标志物大脑网络大脑网络深度大脑刺激 (DBS) 的方法功能性大脑成像 - 功能性脑成像帕金森病 (PD) 是一种疾病.亚体体内核 (STN) 亚体内核

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