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A system identification analysis of optogenetically evoked electrocorticography and cerebral blood flow responses
Journal of Neural Engineering ( IF 4 ) Pub Date : 2020-10-31 , DOI: 10.1088/1741-2552/ab89fc
Rex Chin-Hao Chen 1 , Farid Atry 2 , Thomas Richner 3 , Sarah Brodnick 2 , Jane Pisaniello 2 , Jared Ness 2 , Aaron J Suminski 2 , Justin Williams 2 , Ramin Pashaie 1
Affiliation  

Objective . The main objective of this research was to study the coupling between neural circuits and the vascular network in the cortex of small rodents from system engineering point of view and generate a mathematical model for the dynamics of neurovascular coupling. The model was adopted to implement closed-loop blood flow control algorithms. Approach. We used a combination of advanced technologies including optogenetics, electrocorticography, and optical coherence tomography to stimulate selected populations of neurons and simultaneously record induced electrocorticography and hemodynamic signals. We adopted system identification methods to analyze the acquired data and investigate the relation between optogenetic neural activation and consequential electrophysiology and blood flow responses. Main results. We showed that the developed model, once trained by the acquired data, could successfully regenerate subtle spatio-temporal features of evoked electro...

中文翻译:

光基因诱发皮层电图和脑血流反应的系统识别分析

客观的 。本研究的主要目的是从系统工程的角度研究小型啮齿动物皮层神经回路与血管网络之间的耦合,并建立神经血管耦合动力学的数学模型。采用该模型实现闭环血流控制算法。方法。我们结合使用了包括光遗传学、皮层电图和光学相干断层扫描在内的先进技术来刺激选定的神经元群,同时记录诱导的皮层电图和血流动力学信号。我们采用系统识别方法来分析获取的数据,并研究光遗传学神经激活与相应的电生理学和血流反应之间的关系。主要结果。我们展示了开发的模型,
更新日期:2020-11-02
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