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一种自动检测机械胡须刺激下大鼠皮层信息处理通路中层激活顺序的方法。

An automated method for detection of layer activation order in information processing pathway of rat barrel cortex under mechanical whisker stimulation.

机构信息

NeuroChip Laboratory, Department of Human Anatomy and Physiology, University of Padova, via f. Marzolo 3, 35131 Padova, PD, Italy.

出版信息

J Neurosci Methods. 2011 Mar 15;196(1):141-50. doi: 10.1016/j.jneumeth.2010.11.024. Epub 2010 Dec 9.

Abstract

Rodents perform object localization, texture and shape discrimination very precisely through whisking. During whisking, microcircuits in corresponding barrel columns get activated to segregate and integrate tactile information through the information processing pathway. Sensory signals are projected through the brainstem and thalamus to the corresponding 'barrel columns' where different cortical layers are activated during signal projection. Therefore, having precise information about the layer activation order is desirable to better understand this signal processing pathway. This work proposes an automated, computationally efficient and easy to implement method to determine the cortical layer activation from intracortically recorded local field potentials (LFPs) and derived current source density (CSD) profiles: 1. Barrel cortex LFPs are represented by a template of four subsequent events: small positive/negative (E1) → large negative (E2) → slow positive (E3)→ slow long negative (E4). The method exploits the layer specific characteristics of LFPs to obtain latencies of the individual events (E1–E4), then taking the latency of E2 for calculating the layer activation order. 2. The corresponding CSD profile is calculated from the LFPs and the first sink’s peak is considered as a reference point to calculate latencies and evaluate the layer activation order. Other reference points require manual calculation. Similar results of layer activation sequence are found using LFPs and CSDs. Extensive tests on LFPs recorded using standard borosilicate micropipettes demonstrated the method's workability. An interpretation of layer activation order and CSD profiles on the basis of a simplified interacortical barrel column architecture is also provided.

摘要

啮齿动物通过触须非常精确地进行物体定位、纹理和形状辨别。在触须运动过程中,相应的桶状柱中的微电路被激活,通过信息处理途径来分离和整合触觉信息。感觉信号通过脑干和丘脑投射到相应的“桶状柱”,在信号投射过程中不同的皮质层被激活。因此,精确了解层激活顺序是理解这一信号处理途径的理想选择。本工作提出了一种自动化、计算效率高且易于实现的方法,用于从皮层内记录的局部场电位(LFPs)和衍生的电流源密度(CSD)剖面中确定皮层层的激活:1. 桶状皮层 LFPs 由四个连续事件的模板表示:小正/负(E1)→大负(E2)→慢正(E3)→慢长负(E4)。该方法利用 LFPs 的层特异性特征来获取各个事件(E1-E4)的潜伏期,然后取 E2 的潜伏期来计算层激活顺序。2. 从 LFPs 计算相应的 CSD 剖面,并将第一个汇的峰值作为参考点来计算潜伏期和评估层激活顺序。其他参考点需要手动计算。使用 LFPs 和 CSDs 得到了相似的层激活序列结果。使用标准硼硅酸盐微电极记录的 LFPs 的广泛测试证明了该方法的可行性。还提供了基于简化的皮层间桶状柱结构的层激活顺序和 CSD 剖面的解释。

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