The Human Brainnetome Atlas: A New Brain Atlas Based on Connectional Architecture
Lingzhong Fan,Hai Li,Junjie Zhuo,Yu Zhang,Jiaojian Wang,Liangfu Chen,Zhengyi Yang,Congying Chu,Sangma Xie,Angela R. Laird,Peter T. Fox,Simon B. Eickhoff,Chunshui Yu,Tianzi Jiang +13 more
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TLDR
A connectivity-based parcellation framework is designed that identifies the subdivisions of the entire human brain, revealing the in vivo connectivity architecture and provides a fine-grained, cross-validated atlas and contains information on both anatomical and functional connections.Abstract:
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.read more
Citations
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Journal ArticleDOI
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
Alexander Schaefer,Ru Kong,Evan M. Gordon,Timothy O. Laumann,Xi-Nian Zuo,Avram J. Holmes,Simon B. Eickhoff,B.T. Thomas Yeo,B.T. Thomas Yeo +8 more
TL;DR: The results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data.
Posted ContentDOI
Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI
Alexander Schaefer,Ru Kong,Evan M. Gordon,Timothy O. Laumann,Xi-Nian Zuo,Avram J. Holmes,Simon B. Eickhoff,B.T. Thomas Yeo +7 more
TL;DR: The results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data.
Journal ArticleDOI
Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging.
Andreas Horn,Ningfei Li,Till A. Dembek,Ari D Kappel,Chadwick B. Boulay,Siobhan Ewert,Anna Tietze,Andreas Husch,Thushara Perera,Wolf-Julian Neumann,Marco Reisert,Hang Si,Robert Oostenveld,Chris Rorden,Fang-Cheng Yeh,Qianqian Fang,Todd M. Herrington,Johannes Vorwerk,Andrea A. Kühn +18 more
TL;DR: This work represents a multi‐institutional collaborative effort to develop a comprehensive, open source pipeline for DBS imaging and connectomics, which has already empowered several studies, and may facilitate a variety of future studies in the field.
Journal ArticleDOI
Mapping the human brain's cortical-subcortical functional network organization
TL;DR: This whole‐brain network atlas – released as an open resource for the neuroscience community – places all brain structures across both cortex and subcortex into a single large‐scale functional framework, with the potential to facilitate a variety of studies investigating large-scale functional networks in health and disease.
Journal ArticleDOI
Imaging-based parcellations of the human brain
TL;DR: A recent explosion of in vivo MRI-based approaches to identify and parcellate the brain on the basis of a wealth of different features, ranging from local properties of brain tissue to long-range connectivity patterns, in addition to structural and functional markers as mentioned in this paper.
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