A system identification analysis of optogenetically evoked electrocorticography and cerebral blood flow responses
A system identification analysis of optogenetically evoked electrocorticography and cerebral blood flow responses
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DOI：
10.1088/1741-2552/ab89fc
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发表时间：
2020-10-01
影响因子：
4
通讯作者：
Pashaie，Ramin
中科院分区：
文献类型：
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作者：
Chin-Hao Chen，Rex;Atry，Farid;Pashaie，Ramin
目的从系统工程的角度研究小鼠类皮层神经回路与血管网络的耦合，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。方法我们结合了先进的技术，包括光遗传学、皮质电成像和光学相干断层扫描来刺激选定的神经元群，同时记录诱导的皮质电成像和血流动力学信号。我们采用系统识别方法对采集到的数据进行分析，研究光遗传神经激活与相应的电生理和血流反应之间的关系。我们发现，所开发的模型，一旦被获得的数据训练，可以成功地再生诱发皮质电图和脑血流反应的细微时空特征在光遗传刺激开始后。本研究的长期目标是为神经血管耦合的计算分析开辟一条新的路线，特别是在中枢神经系统正常血流调节过程被破坏的病理中，包括阿尔茨海默病。
ObjectiveThe 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.ApproachWe 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 resultsWe showed that the developed model, once trained by the acquired data, could successfully regenerate subtle spatio-temporal features of evoked electrocorticography and cerebral blood flow responses following an onset of optogenetic stimulation.SignificanceThe long term goal of this research is to open a new line for computational analysis of neurovascular coupling particularly in pathologies where the normal process of blood flow regulation in the central nervous system is disrupted including Alzheimer's disease.