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braingraph.org网站上用于研究衰老脑回路的新图表。

New Graphs at the braingraph.org Website for Studying the Aging Brain Circuitry.

作者信息

Varga Bálint, Grolmusz Vince

机构信息

PIT Bioinformatics Group, Eötvös University, H-1117 Budapest, Hungary.

Uratim Ltd., H-1118 Budapest, Hungary.

出版信息

ArXiv. 2024 Dec 2:arXiv:2412.01418v1.

PMID:39679268
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11643219/
Abstract

Human braingraphs or connectomes are widely studied in the last decade to understand the structural and functional properties of our brain. In the last several years our research group has computed and deposited thousands of human braingraphs to the braingraph.org site, by applying public structural (diffusion) MRI data from young and healthy subjects. Here we describe a recent addition to the braingraph.org site, which contains connectomes from healthy and demented subjects between 42 and 95 years of age, based on the public release of the OASIS-3 dataset. The diffusion MRI data was processed with the Connectome Mapper Toolkit v.3.1. We believe that the new addition to the braingraph.org site will become a useful resource for enlightening the aging circuitry of the human brain in healthy and diseased subjects, including those with Alzheimer's disease in several stages.

摘要

在过去十年中,人类脑图谱或连接组得到了广泛研究,以了解我们大脑的结构和功能特性。在过去几年里,我们的研究团队通过应用来自年轻健康受试者的公开结构(扩散)MRI数据,计算并在braingraph.org网站上存储了数千个人类脑图谱。在此,我们描述了braingraph.org网站最近新增的内容,它包含了基于公开的OASIS - 3数据集的42至95岁健康和痴呆受试者的连接组。扩散MRI数据使用Connectome Mapper Toolkit v.3.1进行处理。我们相信,braingraph.org网站的新内容将成为一个有用的资源,有助于揭示健康和患病受试者(包括处于几个阶段的阿尔茨海默病患者)大脑的衰老神经回路。

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本文引用的文献

1
Alzheimer's pathology is associated with altered cognition, brain volume, and plasma biomarker patterns in traumatic encephalopathy syndrome.阿尔茨海默病病理与创伤性脑损伤后综合征的认知改变、脑容量和血浆生物标志物模式有关。
Alzheimers Res Ther. 2023 Jul 21;15(1):126. doi: 10.1186/s13195-023-01275-w.
2
Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review.基于弥散磁共振成像追踪技术的脑结构连接的定量图谱:综述。
Neuroimage. 2022 Apr 1;249:118870. doi: 10.1016/j.neuroimage.2021.118870. Epub 2022 Jan 1.
3
The Graph of Our Mind.我们思维的图谱。
Brain Sci. 2021 Mar 8;11(3):342. doi: 10.3390/brainsci11030342.
4
The frequent complete subgraphs in the human connectome.人类连接组中的频繁完全子图。
PLoS One. 2020 Aug 20;15(8):e0236883. doi: 10.1371/journal.pone.0236883. eCollection 2020.
5
The Frequent Network Neighborhood Mapping of the human hippocampus shows much more frequent neighbor sets in males than in females.人类海马体的频繁网络近邻映射显示,男性的近邻集比女性更频繁。
PLoS One. 2020 Jan 28;15(1):e0227910. doi: 10.1371/journal.pone.0227910. eCollection 2020.
6
The frequent subgraphs of the connectome of the human brain.人类大脑连接组的频繁子图
Cogn Neurodyn. 2019 Oct;13(5):453-460. doi: 10.1007/s11571-019-09535-y. Epub 2019 May 6.
7
High-resolution directed human connectomes and the Consensus Connectome Dynamics.高分辨率定向人类连接组图谱与共识连接组动力学。
PLoS One. 2019 Apr 16;14(4):e0215473. doi: 10.1371/journal.pone.0215473. eCollection 2019.
8
Comparing advanced graph-theoretical parameters of the connectomes of the lobes of the human brain.比较人类大脑各脑叶连接组的高级图论参数。
Cogn Neurodyn. 2018 Dec;12(6):549-559. doi: 10.1007/s11571-018-9508-y. Epub 2018 Oct 6.
9
Mapping correlations of psychological and structural connectome properties of the dataset of the human connectome project with the maximum spanning tree method.采用最大生成树方法对人类连接组计划数据集的心理和结构连接组特性进行相关性映射。
Brain Imaging Behav. 2019 Oct;13(5):1185-1192. doi: 10.1007/s11682-018-9937-6.
10
The dorsal striatum and the dynamics of the consensus connectomes in the frontal lobe of the human brain.背侧纹状体与人脑额叶共识连接组的动力学。
Neurosci Lett. 2018 Apr 23;673:51-55. doi: 10.1016/j.neulet.2018.02.052. Epub 2018 Feb 26.