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皮质纹状体串扰的改变是精神分裂症亚慢性苯环己哌啶模型中物体识别记忆缺陷的基础。

Altered cortico-striatal crosstalk underlies object recognition memory deficits in the sub-chronic phencyclidine model of schizophrenia.

机构信息

Department of Neuroscience, Psychology and Behaviour, University of Leicester, Leicester, LE1 9HN, UK.

Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, USA.

出版信息

Brain Struct Funct. 2017 Sep;222(7):3179-3190. doi: 10.1007/s00429-017-1393-3. Epub 2017 Mar 14.

Abstract

The neural mechanisms underlying cognitive deficits in schizophrenia are poorly understood. Sub-chronic treatment with the NMDA antagonist phencyclidine (PCP) produces cognitive abnormalities in rodents that reliably model aspects of the neurocognitive alterations observed in schizophrenia. Given that network activity across regions encompassing medial prefrontal cortex (mPFC) and nucleus accumbens (NAc) plays a significant role in motivational and cognitive tasks, we measured activity across cortico-striatal pathways in PCP-treated rats to characterize neural enabling and encoding of task performance in a novel object recognition task. We found that PCP treatment impaired task performance and concurrently (1) reduced tonic NAc neuronal activity, (2) desynchronized cross-activation of mPFC and NAc neurons, and (3) prevented the increase in mPFC and NAc neural activity associated with the exploration of a novel object in relation to a familiar object. Taken together, these observations reveal key neuronal and network-level adaptations underlying PCP-induced cognitive deficits, which may contribute to the emergence of cognitive abnormalities in schizophrenia.

摘要

精神分裂症认知缺陷的神经机制尚不清楚。亚慢性给予 NMDA 拮抗剂苯环己哌啶(PCP)会在啮齿动物中产生认知异常,这些异常可靠地模拟了精神分裂症中观察到的神经认知改变的某些方面。鉴于包含内侧前额叶皮层(mPFC)和伏隔核(NAc)的区域间的网络活动在动机和认知任务中起着重要作用,我们测量了 PCP 处理大鼠的皮质纹状体通路中的活动,以描述在新物体识别任务中任务表现的神经促进和编码。我们发现,PCP 处理会损害任务表现,同时(1)降低 NAc 神经元的紧张性活动,(2)mPFC 和 NAc 神经元的交叉激活去同步,(3)阻止与熟悉物体相比,探索新物体时 mPFC 和 NAc 神经元活动的增加。这些观察结果表明,PCP 引起的认知缺陷的关键神经元和网络水平的适应可能导致精神分裂症认知异常的出现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4d0/5585296/31f1f402ac29/429_2017_1393_Fig1_HTML.jpg

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