Microstructural grey matter parcellation and its relevance for connectome analyses

被引:34
作者
Caspers, Svenja [1 ]
Eickhoff, Simon B. [1 ,2 ]
Zilles, Karl [1 ,3 ,4 ]
Amunts, Katrin [1 ,5 ]
机构
[1] Res Ctr Julich, Inst Neurosci & Med INM 1, D-52425 Julich, Germany
[2] Univ Dusseldorf, Inst Clin Neurosci & Med Psychol, D-40001 Dusseldorf, Germany
[3] Julich Aachen Res Alliance, JARA BRAIN, D-52425 Julich, Germany
[4] Rhein Westfal TH Aachen, Dept Psychiat Psychotherapy & Psychosomat, D-52072 Aachen, Germany
[5] Univ Dusseldorf, C & O Vogt Inst Brain Res, D-40001 Dusseldorf, Germany
关键词
TRACTOGRAPHY-BASED PARCELLATION; HUMAN PARIETAL OPERCULUM; HUMAN CEREBRAL-CORTEX; LONG-FIBER TRACTS; FUNCTIONAL CONNECTIVITY; INTERSUBJECT VARIABILITY; CYTOARCHITECTONIC AREAS; QUANTITATIVE APPROACH; CORTICAL THICKNESS; BRAIN;
D O I
10.1016/j.neuroimage.2013.04.003
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The human brain connectome is closely linked to the anatomical framework provided by the structural segregation of the cortex into distinct cortical areas. Therefore, a thorough anatomical reference for the analysis and interpretation of connectome data is indispensable to understand the structure and function of different regions of the cortex, the white matter fibre architecture connecting them, and the interplay between these different entities. This article focuses on parcellation schemes of the cerebral grey matter and their relevance for connectome analyses. In particular, benefits and limitations of using different available atlases and parcellation schemes are reviewed. It is furthermore discussed how atlas information is currently used in connectivity analyses with major focus on seed-based and seed-target analyses, connectivity-based parcellation results, and the robust anatomical interpretation of connectivity data. Particularly this last aspect opens the possibility of integrating connectivity information into given anatomical frameworks, paving the way to multi-modal atlases of the human brain for a thorough understanding of structure-function relationships. (c) 2013 Elsevier Inc. All rights reserved.
引用
收藏
页码:18 / 26
页数:9
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