使用可见性图从宽场钙成像数据中解码皮层脑状态。

Decoding cortical brain states from widefield calcium imaging data using visibility graph.

作者信息

Zhu Li, Lee Christian R, Margolis David J, Najafizadeh Laleh

机构信息

Integrated Systems and NeuroImaging Laboratory, Department of Electrical and Computer Engineering, Rutgers University, Piscataway, NJ, USA.

Department of Cell Biology and Neuroscience, Rutgers University, Piscataway, NJ, USA.

出版信息

Biomed Opt Express. 2018 Jun 7;9(7):3017-3036. doi: 10.1364/BOE.9.003017. eCollection 2018 Jul 1.

Abstract

Widefield optical imaging of neuronal populations over large portions of the cerebral cortex in awake behaving animals provides a unique opportunity for investigating the relationship between brain function and behavior. In this paper, we demonstrate that the temporal characteristics of calcium dynamics obtained through widefield imaging can be utilized to infer the corresponding behavior. Cortical activity in transgenic calcium reporter mice (n=6) expressing GCaMP6f in neocortical pyramidal neurons is recorded during active whisking (AW) and no whisking (NW). To extract features related to the temporal characteristics of calcium recordings, a method based on visibility graph (VG) is introduced. An extensive study considering different choices of features and classifiers is conducted to find the best model capable of predicting AW and NW from calcium recordings. Our experimental results show that temporal characteristics of calcium recordings identified by the proposed method carry discriminatory information that are powerful enough for decoding behavior.

摘要

在清醒行为动物的大脑皮层大部分区域对神经元群体进行宽场光学成像,为研究脑功能与行为之间的关系提供了独特的机会。在本文中,我们证明了通过宽场成像获得的钙动力学的时间特征可用于推断相应的行为。在转基因钙报告小鼠(n = 6)中,新皮层锥体神经元表达GCaMP6f,在主动触须运动(AW)和无触须运动(NW)期间记录皮层活动。为了提取与钙记录时间特征相关的特征,引入了一种基于可见性图(VG)的方法。进行了一项广泛的研究,考虑了不同的特征和分类器选择,以找到能够从钙记录中预测AW和NW的最佳模型。我们的实验结果表明,所提出的方法识别出的钙记录时间特征携带了足以解码行为的判别信息。

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