Cell type-specific connectome predicts distributed working memory activity in the mouse brain.
Cell type-specific connectome predicts distributed working memory activity in the mouse brain.
复制标题
细胞类型特定的连接组预测小鼠大脑中的分布式工作记忆活动。
DOI：
10.7554/elife.85442
复制
发表时间：
2024-01-04
期刊：
影响因子：
7.7
通讯作者：
Wang XJ
中科院分区：
文献类型：
--
作者：
Ding X;Froudist-Walsh S;Jaramillo J;Jiang J;Wang XJ
连接组学和神经生理学的最新进展使探索认知和行为的全脑机制成为可能。我们开发了一个大规模的多区域小鼠大脑模型，用于研究一种叫做工作记忆的基本认知功能，即大脑在没有感官输入的情况下内部保存和处理信息的能力。该模型建立在介观皮层连接数据的基础上，并赋予测量的表达parvalbumin的中间神经元密度的宏观梯度。研究发现，工作记忆编码是分布式的，但又表现出模块化；助记表征的空间模式是由远距离细胞类型特异性靶向和细胞类别密度决定的。特定于细胞类型的图测量预测活动模式和用于内存维护的核心子网。该模型显示了许多吸引子状态，这些状态是自我维持的内部状态（每个状态都涉及不同的区域子集）。这项工作为解释认知过程中大脑活动的大规模记录提供了一个框架，同时强调了对细胞类型特异性连接组学的需求。
Recent advances in connectomics and neurophysiology make it possible to probe whole-brain mechanisms of cognition and behavior. We developed a large-scale model of the multiregional mouse brain for a cardinal cognitive function called working memory, the brain’s ability to internally hold and process information without sensory input. The model is built on mesoscopic connectome data for interareal cortical connections and endowed with a macroscopic gradient of measured parvalbumin-expressing interneuron density. We found that working memory coding is distributed yet exhibits modularity; the spatial pattern of mnemonic representation is determined by long-range cell type-specific targeting and density of cell classes. Cell type-specific graph measures predict the activity patterns and a core subnetwork for memory maintenance. The model shows numerous attractor states, which are self-sustained internal states (each engaging a distinct subset of areas). This work provides a framework to interpret large-scale recordings of brain activity during cognition, while highlighting the need for cell type-specific connectomics.
DOI：
10.1093/cercor/bhx357
发表时间：
2018-04-01
期刊：
Cerebral cortex (New York, N.Y. : 1991)
影响因子：
--
作者：
Yang ST;Wang M;Paspalas CD;Crimins JL;Altman MT;Mazer JA;Arnsten AFT
通讯作者：
Arnsten AFT
影响因子：
16.2
作者：
International Brain Laboratory. Electronic address: churchland@cshl.edu;International Brain Laboratory
通讯作者：
International Brain Laboratory