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耶鲁大脑图谱以交互方式探索多式结构和功能神经成像数据
Evan Collins1,2,3, Omar Chishti1,4, Hari McGrath1,5
1Department of Neurosurgery, Yale School of Medicine, New Haven, CT, United States.
Frontiers in network physiology
|July 3, 2025
概括
这项研究介绍了耶鲁大脑地图,这是一个互动工具和数据库,用于探索大脑结构和功能. 它可以对多式联络神经成像数据进行可扩展的分析,以了解大脑组织.
科学领域:
- 神经科学是一个神经科学.
- 神经成像是一种神经成像.
- 计算神经科学是一种神经科学.
背景情况:
- 了解人类大脑的结构功能关系对于解释认知,情绪和行为至关重要.
- 精确地定位和分析神经成像数据对于大脑研究至关重要.
研究的目的:
- 介绍一个交互式网络工具和数据库,用于耶鲁大脑地图.
- 为了促进多式联络神经成像数据的精确定位和可泛化分析.
- 支持对大脑结构功能关系的研究.
主要方法:
- 开发了一个高分辨率的解剖分片 (耶鲁大脑图谱).
- 综合结构数据 (白质连接体,皮质厚度) 来自人类连接体项目.
- 从元分析资源 (Neurosynth,NeuroQuery) 整合功能数据 (静态fMRI,特定任务的fMRI激活),创建了Parcelsynth和ParcelQuery.
主要成果:
- 网络工具允许在块级探索结构和功能数据.
- 数据包括白质连接体 (1,065名受试者),皮质厚度 (200名受试者) 和fMRI连接矩阵 (34名受试者).
- 功能数据被翻译成耶鲁大脑图谱空间,其中包含334个功能特定的术语.
结论:
- 耶鲁大脑图谱网络工具和数据库使多式联络神经成像数据的可扩展,互动探索成为可能.
- 这个资源有助于理解大脑结构和功能之间的复杂关系.
- 通过各种神经成像数据集进行概括分析.
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