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海马体网络中依赖行为的状态会影响神经元的功能聚类。

Behavior-dependent states of the hippocampal network affect functional clustering of neurons.

作者信息

Hirase H, Leinekugel X, Csicsvari J, Czurkó A, Buzsáki G

机构信息

Center for Molecular and Behavioral Neuroscience, Rutgers, The State University of New Jersey, Newark, New Jersey 07102, USA.

出版信息

J Neurosci. 2001 May 15;21(10):RC145. doi: 10.1523/JNEUROSCI.21-10-j0003.2001.

DOI:10.1523/JNEUROSCI.21-10-j0003.2001
PMID:11319243
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6762491/
Abstract

Local versus distant coherence of hippocampal CA1 pyramidal cells was investigated in the behaving rat. Temporal cross-correlation of pyramidal cells revealed a significantly stronger relationship among local (<140 microm) pyramidal neurons compared with distant (>300 microm) neurons during non-theta-associated immobility and sleep but not during theta-associated running and walking. In contrast, cross-correlation between local pyramidal cell-interneuron pairs was significantly stronger than between distant pairs during theta oscillations but were similar during non-theta-associated behaviors. We suggest that network state-dependent functional clustering of neuronal activity emerges because of the differential contribution of the main excitatory inputs, the perforant path, and Schaffer collaterals during theta and non-theta behaviors.

摘要

在行为大鼠中研究了海马CA1锥体细胞的局部与远距离相干性。锥体细胞的时间互相关显示,在非θ相关的静止和睡眠期间,局部(<140微米)锥体细胞之间的关系明显强于远距离(>300微米)神经元之间的关系,但在θ相关的奔跑和行走期间则不然。相比之下,在θ振荡期间,局部锥体细胞-中间神经元对之间的互相关明显强于远距离对之间的互相关,但在非θ相关行为期间则相似。我们认为,由于在θ和非θ行为期间主要兴奋性输入、穿通通路和谢弗侧支的不同贡献,出现了网络状态依赖的神经元活动功能聚类。