Imaging-based parcellations of the human brain

被引:0
作者
Simon B. Eickhoff
B. T. Thomas Yeo
Sarah Genon
机构
[1] Research Centre Jülich,Institute of Neuroscience and Medicine, Brain and Behavior (INM
[2] Heinrich-Heine-University Düsseldorf,7)
[3] National University of Singapore,Institute of Systems Neuroscience, Medical Faculty
[4] National University of Singapore,Department of Electrical and Computer Engineering, ASTAR
[5] Harvard Medical School,NUS Clinical Imaging Research Centre, Singapore Institute for Neurotechnology and Memory Networks Program
[6] Duke-NUS Graduate Medical School,NUS Graduate School for Integrative Sciences and Engineering
来源
Nature Reviews Neuroscience | 2018年 / 19卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
A defining aspect of brain organization is its spatial heterogeneity, which gives rise to multiple topographies at different scales. Brain parcellation — defining distinct partitions in the brain, be they areas or networks that comprise multiple discontinuous but closely interacting regions — is thus fundamental for understanding brain organization and function. The past decade has seen an 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. Given the high diversity of these various approaches, assessing the convergence and divergence among these ensuing maps is a challenge. Inter-individual variability adds to this challenge but also provides new opportunities when coupled with cross-species and developmental parcellation studies.
引用
收藏
页码:672 / 686
页数:14
相关论文
共 318 条
[41]  
Bullmore E(2014)MRI parcellation of ex vivo medial temporal lobe NeuroImage 24 1-616
[42]  
Sporns O(2017)Tests of cortical parcellation based on white matter connectivity using diffusion tensor imaging NeuroImage 28 952-757
[43]  
Arslan S(2005)High-resolution MRI reflects myeloarchitecture and cytoarchitecture of human cerebral cortex Hum. Brain Mapp. 7 606-1367
[44]  
Smith SM(2007)Observer-independent analysis of high-resolution MR images of the human cerebral cortex: in vivo delineation of cortical areas Hum. Brain Mapp. 3 750-6562
[45]  
Lutti A(2006)Towards multimodal atlases of the human brain Nat. Rev. Neurosci. 6 20140172-2818
[46]  
Dick F(2002)The anatomical basis of functional localization in the cortex Nat. Rev. Neurosci. 370 1359-3114
[47]  
Sereno MI(2003)Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging Nature Neurosci. 53 6553-57
[48]  
Weiskopf N(2015)The restless brain: how intrinsic activity organizes brain function Phil. Trans. R. Soc. Series B, Biol. Sci. 36 2808-680
[49]  
Glasser MF(2010)Distinct functional connectivity associated with lateral versus medial rostral prefrontal cortex: a meta-analysis NeuroImage 38 3095-170
[50]  
Van Essen DC(2016)Large-scale meta-analysis of human medial frontal cortex reveals tripartite functional organization J. Neurosci. 28 45-303