A quantitative method for evaluating cortical responses to electrical stimulation.

A quantitative method for evaluating cortical responses to electrical stimulation.
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一种评估对电刺激的皮质反应的定量方法。

DOI:
10.1016/j.jneumeth.2018.09.034
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发表时间:
2019-01-01
影响因子:
3
通讯作者:
Schalk G
Schalk G
中科院分区:
医学4区
文献类型:
--
作者:
Crowther LJ;Brunner P;Kapeller C;Guger C;Kamada K;Bunch ME;Frawley BK;Lynch TM;Ritaccio AL;Schalk G

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使用硬膜下植入电极对皮层进行电刺激可以通过引发皮质-皮质诱发电位(CCEPs)来揭示结构连接。虽然许多研究已经证明了ccep的潜在价值,但评估它们的方法往往相对主观,没有考虑潜在的人为因素,也没有进行系统的科学调查。我们开发了一种自动化的定量方法,称为SIGNI(刺激诱导的基于伽马的网络识别),以评估皮层群体水平对电刺激的反应,从而最大限度地减少电伪影的影响。我们将SIGNI应用于8名受试者的皮质电图(ECoG)数据,这些受试者共植入了978个硬膜下电极。在8名受试者中,我们向总共64对电极提供了92组大约200个离散电刺激(幅度4-15 mA)。我们通过证明诱发皮质活动的大小与刺激幅度之间的关系,以及诱发皮质活动的潜伏期与受刺激部位的距离之间的关系,验证了SIGNI的有效性。SIGNI揭示了皮层对电刺激反应的时间和幅度,以及支持这些反应的结构连通性。有了这些特性,它可以探索关于皮层通讯的神经生理学的新的和重要的问题,也可能对术前计划有用。
Electrical stimulation of the cortex using subdurally implanted electrodes can causally reveal structural connectivity by eliciting cortico-cortical evoked potentials (CCEPs). While many studies have demonstrated the potential value of CCEPs, the methods to evaluate them were often relatively subjective, did not consider potential artifacts, and did not lend themselves to systematic scientific investigations. We developed an automated and quantitative method called SIGNI (Stimulation-Induced Gamma-based Network Identification) to evaluate cortical population-level responses to electrical stimulation that minimizes the impact of electrical artifacts. We applied SIGNI to electrocorticographic (ECoG) data from eight human subjects who were implanted with a total of 978 subdural electrodes. Across the eight subjects, we delivered 92 trains of approximately 200 discrete electrical stimuli each (amplitude 4–15 mA) to a total of 64 electrode pairs. We verified SIGNI's efficacy by demonstrating a relationship between the magnitude of evoked cortical activity and stimulation amplitude, as well as between the latency of evoked cortical activity and the distance from the stimulated locations. SIGNI reveals the timing and amplitude of cortical responses to electrical stimulation as well as the structural connectivity supporting these responses. With these properties, it enables exploration of new and important questions about the neurophysiology of cortical communication and may also be useful for pre-surgical planning.
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