Connectivity-based parcellation of the human posteromedial cortex

Zhang, Yaqin, Fan, Lingzhong, Zhang, Yu, Wang, Jiaojian, Zhu, Maohu, Zhang, Yuanchao, Yu, Chunshui and Jiang, Tianzi (2014) Connectivity-based parcellation of the human posteromedial cortex. Cerebral Cortex, 24 3: 719-727. doi:10.1093/cercor/bhs353


Author Zhang, Yaqin
Fan, Lingzhong
Zhang, Yu
Wang, Jiaojian
Zhu, Maohu
Zhang, Yuanchao
Yu, Chunshui
Jiang, Tianzi
Title Connectivity-based parcellation of the human posteromedial cortex
Journal name Cerebral Cortex   Check publisher's open access policy
ISSN 1047-3211
1460-2199
Publication date 2014-03-01
Year available 2012
Sub-type Article (original research)
DOI 10.1093/cercor/bhs353
Open Access Status DOI
Volume 24
Issue 3
Start page 719
End page 727
Total pages 9
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Language eng
Abstract Regional structural and functional variations in the posteromedial cortex (PMC) have been found in both animals and humans, strongly suggesting the presence of subdivisions. However, there is no consensus on how to subdivide the human PMC. Here, we investigated the anatomical parcellation scheme and the connectivity pattern of each subdivision of the human PMC using diffusion tensor imaging data from 2 independent groups of volunteers. The parcellation analyses of the 2 datasets consistently demonstrated that the human PMC can be parcellated into 5 subregions. The dorsal portion of the PMC was subdivided into anterior, central, and posterior subregions, which participate in sensorimotor, associative, and visual functions. The ventral PMC contained a transitional region in the dorsal portion and a ventral subregion that is the core of the default mode network. The parcellation results for the human PMC and its anatomical connectivity patterns were further supported by evidence from the macaque PMC. Furthermore, functional connectivity analysis revealed that each subregion exhibited a specific pattern similar to that of its anatomical connectivity. The proposed parcellation scheme may facilitate the study of the human PMC at a subtler level and improve our understanding of its functions.
Keyword Atlas
Connectivity
Cortex parcellation
Diffusion tensor imaging
Parietal cortex
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online 11 November 2012

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2015 Collection
 
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