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.
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.
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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