Suppr超能文献

多模态超高分辨率结构 7T MRI 数据库。

Multi-modal ultra-high resolution structural 7-Tesla MRI data repository.

机构信息

Amsterdam Center for Brain & Cognition, University of Amsterdam , 1018 WS Amsterdam, Netherlands ; Max Planck Institute for Human Cognitive and Brain Sciences , 04103 Leipzig, Germany.

Max Planck Institute for Human Cognitive and Brain Sciences , 04103 Leipzig, Germany.

出版信息

Sci Data. 2014 Dec 9;1:140050. doi: 10.1038/sdata.2014.50. eCollection 2014.

Abstract

Structural brain data is key for the understanding of brain function and networks, i.e., connectomics. Here we present data sets available from the 'atlasing of the basal ganglia (ATAG)' project, which provides ultra-high resolution 7 Tesla (T) magnetic resonance imaging (MRI) scans from young, middle-aged, and elderly participants. The ATAG data set includes whole-brain and reduced field-of-view MP2RAGE and T2*-weighted scans of the subcortex and brainstem with ultra-high resolution at a sub-millimeter scale. The data can be used to develop new algorithms that help building high-resolution atlases both relevant for the basic and clinical neurosciences. Importantly, the present data repository may also be used to inform the exact positioning of electrodes used for deep-brain-stimulation in patients with Parkinson's disease and neuropsychiatric diseases.

摘要

结构脑数据对于理解大脑功能和网络(即连接组学)至关重要。这里我们呈现了来自“基底神经节图谱(ATAG)”项目的可用数据集,该项目提供了来自年轻、中年和老年参与者的超高分辨率 7 特斯拉(T)磁共振成像(MRI)扫描。ATAG 数据集包括全脑和缩小视野的 MP2RAGE 和 T2*-加权扫描,具有亚毫米级别的超高分辨率,涵盖了皮质下结构和脑干。这些数据可用于开发新的算法,帮助构建与基础和临床神经科学都相关的高分辨率图谱。重要的是,本数据存储库还可用于为帕金森病和神经精神疾病患者的深部脑刺激所用电极的精确定位提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ca5/4421933/d6c620a70e18/sdata201450-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验