Connectivity-based parcellation of the human temporal pole using diffusion tensor imaging

Fan, Lingzhong, Wang, Jiaojian, Zhang, Yu, Han, Wei, Yu, Chunshui and Tianzi Jiang (2013) Connectivity-based parcellation of the human temporal pole using diffusion tensor imaging. Cerebral Cortex, 24 12: 3365-3378. doi:10.1093/cercor/bht196

Author Fan, Lingzhong
Wang, Jiaojian
Zhang, Yu
Han, Wei
Yu, Chunshui
Tianzi Jiang
Title Connectivity-based parcellation of the human temporal pole using diffusion tensor imaging
Journal name Cerebral Cortex   Check publisher's open access policy
ISSN 1047-3211
Publication date 2013-08-07
Year available 2013
Sub-type Article (original research)
DOI 10.1093/cercor/bht196
Volume 24
Issue 12
Start page 3365
End page 3378
Total pages 14
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Language eng
Formatted abstract
The temporal pole (TP) is an association cortex capable of multisensory integration and participates in various high-order cognitive functions. However, an accepted parcellation of the human TP and its connectivity patterns have not yet been well established. Here, we sought to present a scheme for the parcellation of human TP based on anatomical connectivity and to reveal its subregional connectivity patterns. Three distinct subregions with characteristic fiber pathways were identified, including the dorsal (TAr), the medial (TGm), and lateral (TGl) subregions, which are located ventrally. According to the connectivity patterns, a dorsal/ventral sensory segregation of auditory and visual processing and the medial TGm involved in the olfactory processing were observed. Combined with the complementary resting-state functional connectivity analysis, the connections of the TGm with the orbitofrontal cortex and other emotion-related areas, the TGl connections with the MPFC and major default mode network regions, and the TAr connections with the perisylvian language areas were observed. To the best of our knowledge, the present study represents the first attempt to parcel the human TP based on its anatomical connectivity features, which may help to improve our understanding of its connectional anatomy and to extend the available knowledge in TP-related clinical research.
Keyword Connectivity
Diffusion tensor imaging
Resting-state fMRI
Temporal pole
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online ahead of print 7 August 2013.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2014 Collection
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 28 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 32 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Fri, 28 Mar 2014, 00:18:04 EST by Debra McMurtrie on behalf of Queensland Brain Institute