Characterizing and predicting cortical evoked responses to direct electrical stimulation of the human brain.
Characterizing and predicting cortical evoked responses to direct electrical stimulation of the human brain.
复制标题
表征和预测皮质对人脑直接电刺激的诱发反应。
DOI：
10.1016/j.brs.2020.05.001
复制
发表时间：
2020
影响因子：
7.7
通讯作者：
Zaghloul,KareemA
中科院分区：
文献类型：
--
作者：
Steinhardt,CynthiaR;Sacré,Pierre;Sheehan,TimothyC;Wittig,JohnH;Inati,SaraK;Sarma,Sridevi;Zaghloul,KareemA
背景对人脑的直接电刺激已成功用于治疗多种神经系统疾病，但刺激对神经活动的精确影响却知之甚少。然而，表征对刺激的神经反应可以使临床医生和研究人员更准确地预测神经反应，从而可以为治疗提供更有效的刺激，并获得有关神经功能的基础知识。目的在这里，我们使用线性系统方法来表征跨皮质位置对电刺激的反应，然后预测对新输入的反应。方法我们使用颅内电极，使用从随机分布中提取的振幅，通过单脉冲刺激直接刺激人脑。基于诱发反应，我们生成了一个简单的模型，捕获每个皮层部位对刺激的特征反应。结果我们发现，可以使用相同的简单架构来捕获跨皮层部位的诱发反应的可变动态，即线性时不变系统，该系统分别对刺激的正输入脉冲和负输入脉冲进行操作。我们证明，使用这种简单且易于处理的诱发反应模型来表征对刺激的反应，使我们能够预测对具有新颖幅度的单脉冲的后续刺激的反应，以及对多脉冲刺激的复合反应。结论我们的数据表明，以近似线性的方式表征对刺激的反应可以为预测对直接电刺激的反应提供强大且有原则的方法。
BackgroundDirect electrical stimulation of the human brain has been used to successfully treat several neurological disorders, but the precise effects of stimulation on neural activity are poorly understood. Characterizing the neural response to stimulation, however, could allow clinicians and researchers to more accurately predict neural responses, which could in turn lead to more effective stimulation for treatment and to fundamental knowledge regarding neural function.ObjectiveHere we use a linear systems approach in order to characterize the response to electrical stimulation across cortical locations and then to predict the responses to novel inputs.MethodsWe use intracranial electrodes to directly stimulate the human brain with single pulses of stimulation using amplitudes drawn from a random distribution. Based on the evoked responses, we generate a simple model capturing the characteristic response to stimulation at each cortical site.ResultsWe find that the variable dynamics of the evoked response across cortical locations can be captured using the same simple architecture, a linear time-invariant system that operates separately on positive and negative input pulses of stimulation. We demonstrate that characterizing the response to stimulation using this simple and tractable model of evoked responses enables us to predict the responses to subsequent stimulation with single pulses with novel amplitudes, and the compound response to stimulation with multiple pulses.ConclusionOur data suggest that characterizing the response to stimulation in an approximately linear manner can provide a powerful and principled approach for predicting the response to direct electrical stimulation.