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An open access mouse brain flatmap and upgraded rat and human brain flatmaps based on current reference atlases.基于当前参考图谱的开放获取鼠标大脑平铺图和升级的大鼠和人类大脑平铺图。
J Comp Neurol. 2021 Feb;529(3):576-594. doi: 10.1002/cne.24966. Epub 2020 Jul 19.
2
Rapid Antidepressant Effects of Deep Brain Stimulation and Their Relation to Surgical Protocol.深部脑刺激的快速抗抑郁作用及其与手术方案的关系。
Biol Psychiatry. 2020 Oct 15;88(8):e37-e39. doi: 10.1016/j.biopsych.2020.03.017. Epub 2020 May 14.
3
The network architecture of rat intrinsic interbrain (diencephalic) macroconnections.大鼠脑内(间脑)固有大连接的网络架构。
Proc Natl Acad Sci U S A. 2019 Dec 26;116(52):26991-27000. doi: 10.1073/pnas.1915446116. Epub 2019 Dec 5.
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Whole-animal connectomes of both Caenorhabditis elegans sexes.雌雄同体秀丽隐杆线虫的全动物连接组图谱。
Nature. 2019 Jul;571(7763):63-71. doi: 10.1038/s41586-019-1352-7. Epub 2019 Jul 3.
5
The network organization of rat intrathalamic macroconnections and a comparison with other forebrain divisions.大鼠丘脑内大连接的网络组织与其他前脑区域的比较。
Proc Natl Acad Sci U S A. 2019 Jul 2;116(27):13661-13669. doi: 10.1073/pnas.1905961116. Epub 2019 Jun 18.
6
A model for mapping between the human and rodent cerebral cortex.一种用于在人类和啮齿动物大脑皮层之间进行映射的模型。
J Comp Neurol. 2019 Dec 1;527(17):2925-2927. doi: 10.1002/cne.24708. Epub 2019 May 11.
7
Macroscale intrinsic network architecture of the hypothalamus.下丘脑的宏观内在网络结构。
Proc Natl Acad Sci U S A. 2019 Apr 16;116(16):8018-8027. doi: 10.1073/pnas.1819448116. Epub 2019 Mar 28.
8
A Network Explanation of Alzheimer's Regional Vulnerability.阿尔茨海默病区域易损性的网络解释
Cold Spring Harb Symp Quant Biol. 2018;83:193-200. doi: 10.1101/sqb.2018.83.036889. Epub 2019 Jan 14.
9
Subsystem organization of axonal connections within and between the right and left cerebral cortex and cerebral nuclei (endbrain).大脑皮质左右半球和大脑核团(端脑)内及之间的轴突连接的子系统组织。
Proc Natl Acad Sci U S A. 2018 Jul 17;115(29):E6910-E6919. doi: 10.1073/pnas.1807255115. Epub 2018 Jul 2.
10
Multiresolution Consensus Clustering in Networks.网络中的多分辨率共识聚类
Sci Rep. 2018 Feb 19;8(1):3259. doi: 10.1038/s41598-018-21352-7.

女性和男性前脑网络的结构-功能子系统模型,整合认知、情感、行为和身体功能。

Structure-function subsystem models of female and male forebrain networks integrating cognition, affect, behavior, and bodily functions.

机构信息

Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089;

Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089.

出版信息

Proc Natl Acad Sci U S A. 2020 Dec 8;117(49):31470-31481. doi: 10.1073/pnas.2017733117. Epub 2020 Nov 23.

DOI:10.1073/pnas.2017733117
PMID:33229546
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7733829/
Abstract

The forebrain is the first of three primary vertebrate brain subdivisions. Macrolevel network analysis in a mammal (rat) revealed that the 466 gray matter regions composing the right and left sides of the forebrain are interconnected by 35,738 axonal connections forming a large set of overlapping, hierarchically arranged subsystems. This hierarchy is bilaterally symmetrical and sexually dimorphic, and it was used to create a structure-function conceptual model of intraforebrain network organization. Two mirror image top-level subsystems are presumably the most fundamental ontogenetically and phylogenetically. They essentially form the right and left forebrain halves and are relatively weakly interconnected. Each top-level subsystem in turn has two second-level subsystems. A ventromedial subsystem includes the medial forebrain bundle, functionally coordinating instinctive survival behaviors with appropriate physiological responses and affect. This subsystem has 26/24 (female/male) lowest-level subsystems, all using a combination of glutamate and GABA as neurotransmitters. In contrast, a dorsolateral subsystem includes the lateral forebrain bundle, functionally mediating voluntary behavior and cognition. This subsystem has 20 lowest-level subsystems, and all but 4 use glutamate exclusively for their macroconnections; no forebrain subsystems are exclusively GABAergic. Bottom-up subsystem analysis is a powerful engine for generating testable hypotheses about mechanistic explanations of brain function, behavior, and mind based on underlying circuit organization. Targeted computational (virtual) lesioning of specific regions of interest associated with Alzheimer's disease, clinical depression, and other disorders may begin to clarify how the effects spread through the entire forebrain network model.

摘要

前脑是三个主要的脊椎动物脑区之一。在哺乳动物(大鼠)中进行的宏观网络分析显示,组成左右前脑的 466 个灰质区域通过 35738 个轴突连接相互连接,形成了一大组重叠的、层次化的子系统。这个层次结构是双侧对称的和性别二态的,它被用来创建一个前脑网络组织的结构-功能概念模型。两个镜像的顶级子系统可能是最基本的胚胎发生和进化上的。它们基本上形成了左右前脑的两半,并且相互连接较弱。每个顶级子系统又有两个二级子系统。一个腹侧子系统包括内侧前脑束,它在功能上协调本能的生存行为与适当的生理反应和情感。这个子系统有 26/24 个(女性/男性)最低级别的子系统,都使用谷氨酸和 GABA 作为神经递质。相比之下,一个背外侧子系统包括外侧前脑束,它在功能上调节自愿行为和认知。这个子系统有 20 个最低级别的子系统,除了 4 个之外,所有的子系统都只使用谷氨酸作为它们的宏观连接;没有前脑子系统是完全 GABA 能的。自下而上的子系统分析是一个强大的引擎,可以根据潜在的电路组织,产生关于大脑功能、行为和思维的机械解释的可测试假设。针对与阿尔茨海默病、临床抑郁症和其他疾病相关的特定感兴趣区域的靶向计算(虚拟)损伤,可能开始阐明这些影响如何在整个前脑网络模型中传播。