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松鼠猴大脑静息态功能网络的检测与特征分析

Detection and characterization of resting state functional networks in squirrel monkey brain.

作者信息

Sengupta Anirban, Wang Feng, Mishra Arabinda, Reed Jamie L, Chen Li Min, Gore John C

机构信息

Vanderbilt University Institute of Imaging Science, Nashville, Vanderbilt University Medical Center, Nashville, TN, United States of America.

Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States of America.

出版信息

Cereb Cortex Commun. 2023 Sep 2;4(3):tgad018. doi: 10.1093/texcom/tgad018. eCollection 2023.

DOI:10.1093/texcom/tgad018
PMID:37753115
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10518810/
Abstract

Resting-state fMRI based on analyzing BOLD signals is widely used to derive functional networks in the brain and how they alter during disease or injury conditions. Resting-state networks can also be used to study brain functional connectomes across species, which provides insights into brain evolution. The squirrel monkey (SM) is a non-human primate (NHP) that is widely used as a preclinical model for experimental manipulations to understand the organization and functioning of the brain. We derived resting-state networks from the whole brain of anesthetized SMs using Independent Component Analysis of BOLD acquisitions. We detected 15 anatomically constrained resting-state networks localized in the cortical and subcortical regions as well as in the white-matter. Networks encompassing visual, somatosensory, executive control, sensorimotor, salience and default mode regions, and subcortical networks including the Hippocampus-Amygdala, thalamus, basal-ganglia and brainstem region correspond well with previously detected networks in humans and NHPs. The connectivity pattern between the networks also agrees well with previously reported seed-based resting-state connectivity of SM brain. This study demonstrates that SMs share remarkable homologous network organization with humans and other NHPs, thereby providing strong support for their suitability as a translational animal model for research and additional insight into brain evolution across species.

摘要

基于分析血氧水平依赖(BOLD)信号的静息态功能磁共振成像(fMRI)被广泛用于推导大脑中的功能网络以及它们在疾病或损伤状态下如何变化。静息态网络也可用于研究跨物种的大脑功能连接组,这为大脑进化提供了见解。松鼠猴(SM)是一种非人灵长类动物(NHP),被广泛用作临床前模型进行实验操作,以了解大脑的组织和功能。我们使用BOLD采集的独立成分分析从麻醉的松鼠猴全脑推导静息态网络。我们在皮质、皮质下区域以及白质中检测到15个受解剖学约束的静息态网络。包含视觉、体感、执行控制、感觉运动、显著性和默认模式区域的网络,以及包括海马体-杏仁核、丘脑、基底神经节和脑干区域的皮质下网络,与先前在人类和非人灵长类动物中检测到的网络非常吻合。这些网络之间的连接模式也与先前报道的松鼠猴大脑基于种子的静息态连接性非常一致。这项研究表明,松鼠猴与人类和其他非人灵长类动物具有显著的同源网络组织,从而为它们作为转化动物模型进行研究的适用性提供了有力支持,并为跨物种大脑进化提供了更多见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c9e/10518810/f07291499497/tgad018f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c9e/10518810/494caacb866a/tgad018f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c9e/10518810/c7bdf238d562/tgad018f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c9e/10518810/e5ad771721b4/tgad018f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c9e/10518810/f07291499497/tgad018f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c9e/10518810/494caacb866a/tgad018f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c9e/10518810/c7bdf238d562/tgad018f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c9e/10518810/e5ad771721b4/tgad018f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c9e/10518810/f07291499497/tgad018f4.jpg

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