磁共振弥散成像
人类连接体项目
连接体
白质
连接组学
人口
空间归一化
神经科学
脑深部刺激
神经信息学
分割
地图集(解剖学)
人工智能
脑图谱
计算机科学
大脑定位
医学
体素
磁共振成像
心理学
病理
帕金森病
功能连接
解剖
环境卫生
疾病
放射科
作者
Yiming Xiao,Greydon Gilmore,Jason Kai,Jonathan C. Lau,Terry M. Peters,Ali R. Khan
出处
期刊:Data in Brief
[Elsevier BV]
日期:2023-10-01
卷期号:50: 109513-109513
标识
DOI:10.1016/j.dib.2023.109513
摘要
Population-averaged brain atlases, that are represented in a standard space with anatomical labels, are instrumental tools in neurosurgical planning and the study of neurodegenerative conditions. Traditional brain atlases are primarily derived from anatomical scans and contain limited information regarding the axonal organization of the white matter. With the advance of diffusion MRI that allows the modelling of fiber orientation distribution (FOD) in the brain tissue, there is an increasing interest for a population-averaged FOD template, especially based on a large healthy aging cohort, to offer structural connectivity information for connectomic surgery and analysis of neurodegeneration. The dataset described in this article contains a set of multi-contrast structural connectomic MRI atlases, including T1w, T2w, and FOD templates, along with the associated whole brain tractograms. The templates were made using multi-contrast group-wise registration based on 3T MRIs of 422 Human Connectome Project in Aging (HCP-A) subjects. To enhance the usability, probabilistic tissue maps and segmentation of 22 subcortical structures are provided. Finally, the subthalamic nucleus shown in the atlas is parcellated into sensorimotor, limbic, and associative sub-regions based on their structural connectivity to facilitate the analysis and planning of deep brain stimulation procedures. The dataset is available on the OSF Repository: https://osf.io/p7syt.
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