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在型活动较少的时期进行闭环刺激,可以改善的结果

Daria Nesterovich Anderson^1,2,3, Chantel M Charlebois^4,5, Elliot H Smith¹

¹Department of Neurosurgery, University of Utah, Salt Lake City, UT 84132, USA.

Brain : a journal of neurology

|October 5, 2023

概括

响应神经刺激 (RNS) 可以通过在特定低风险大脑状态期间提供电脑刺激来改善控制. 这种有针对性的方法促进了长期的变化,有可能恢复健康的大脑网络功能,减少衰弱性发作.

科学领域:

神经科学是一个神经科学.
神经学神经学
生物医学工程生物医学工程

背景情况:

耐药性影响着许多患者,需要先进的治疗策略.
响应神经刺激 (RNS) 提供了一种有针对性的方法,通过提供电脑刺激来管理发作.
目前的RNS疗法的有效性与长期的大脑网络变化有关,而不是立即抑制发作.

研究的目的:

为了研究这样的假设,即在 reduced epileptiform活动下降的大脑状态期间的刺激驱动RNS的长期治疗效果.
探索患者相对于大脑状态和临床结果的刺激时间之间的关系.

主要方法:

在40名患者中,在低风险 (较少的型活动) 和高风险 (更多的型活动) 大脑状态期间,量化RNS刺激插曲.
分析了刺激模式与发作减少之间的相关性.
在不同患者应答组之间比较刺激事件与异常大脑活动的相锁定.

主要成果:

在低风险的强力状态中增加刺激,避免高风险的节律状态预测了更大的发作减少.
与超级响应者相比,在中级/低响应者中,刺激事件更频繁地与长期异常活动相锁定.
研究结果表明,与大脑状态相对的刺激时间对RNS有效性至关重要.

结论:

在低风险大脑状态期间的刺激可能是RNS对的长期益处的关键机制.
神经调节的时间模式及其与大脑可塑性的相互作用对于实现持续的缩减少至关重要.
这项研究提供了关于优化RNS治疗以改善患者结果的见解.

关键词:

大脑的状态大脑状态.闭环刺激的闭环刺激是一种.通过神经调节进行神经调节.响应神经刺激的反应性神经刺激.

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