The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture.
The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture.
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人脑网络组图谱：基于连接架构的新大脑图谱
DOI：
10.1093/cercor/bhw157
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发表时间：
2016-08
期刊：
影响因子：
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通讯作者：
Jiang T
中科院分区：
文献类型：
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作者：
Fan L;Li H;Zhuo J;Zhang Y;Wang J;Chen L;Yang Z;Chu C;Xie S;Laird AR;Fox PT;Eickhoff SB;Yu C;Jiang T
允许将大脑解剖结构与心理和认知功能相关联的人脑图谱正从基于离体组织学的打印图谱过渡到提供多模态体内信息的数字脑图谱。目前许多人脑图谱只覆盖特定的结构，缺乏细粒度的包裹，无法提供功能上重要的连接信息。使用非侵入性的多模态神经成像技术，我们设计了一个基于连通性的包裹框架，识别整个人脑的细分，揭示了体内的连接结构。由此产生的人类Brainnetome图谱，210个皮质和36个皮质下亚区，提供了一个细粒度的，交叉验证的图谱，并包含解剖和功能连接的信息。此外，我们还参照BrainMap数据库进一步将所描绘的结构映射到心理过程。因此，它提供了一个客观和稳定的起点，从那里探索结构，连接和功能之间的复杂关系，并最终提高对人类大脑如何工作的理解。人类脑组织图谱将在http://atlas.brainnetome.org上免费下载，以便研究人员可以随时使用整个大脑的包裹，连接和功能数据来研究健康和病理状态。
The human brain atlases that allow correlating brain anatomy with psychological and cognitive functions are in transition from ex vivo histology-based printed atlases to digital brain maps providing multimodal in vivo information. Many current human brain atlases cover only specific structures, lack fine-grained parcellations, and fail to provide functionally important connectivity information. Using noninvasive multimodal neuroimaging techniques, we designed a connectivity-based parcellation framework that identifies the subdivisions of the entire human brain, revealing the in vivo connectivity architecture. The resulting human Brainnetome Atlas, with 210 cortical and 36 subcortical subregions, provides a fine-grained, cross-validated atlas and contains information on both anatomical and functional connections. Additionally, we further mapped the delineated structures to mental processes by reference to the BrainMap database. It thus provides an objective and stable starting point from which to explore the complex relationships between structure, connectivity, and function, and eventually improves understanding of how the human brain works. The human Brainnetome Atlas will be made freely available for download at http://atlas.brainnetome.org, so that whole brain parcellations, connections, and functional data will be readily available for researchers to use in their investigations into healthy and pathological states.