The catechol-o-methyltransferase Val158Met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects

Zhang, Xiaolong, Li, Jin, Qin, Wen, Yu, Chunshui, Liu, Bing and Jiang, Tianzi (2015) The catechol-o-methyltransferase Val158Met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects. Scientific Reports, 5 10105: 1-7. doi:10.1038/srep10105


Author Zhang, Xiaolong
Li, Jin
Qin, Wen
Yu, Chunshui
Liu, Bing
Jiang, Tianzi
Title The catechol-o-methyltransferase Val158Met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects
Formatted title
The catechol-o-methyltransferase Val158Met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects
Journal name Scientific Reports   Check publisher's open access policy
ISSN 2045-2322
Publication date 2015-06-09
Year available 2015
Sub-type Article (original research)
DOI 10.1038/srep10105
Open Access Status DOI
Volume 5
Issue 10105
Start page 1
End page 7
Total pages 7
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Collection year 2016
Language eng
Formatted abstract
The influence of catechol-o-methyltransferase (COMT) Val158Met on brain activation and functional connectivity has been widely reported. However, voxel-wise effects of this genotype on resting-state brain networks remain unclear. Here, we used resting-state fMRI and eigenvector centrality to examine the effects of COMT Val158Met genotypes on the connection patterns of the brain network and working memory (WM) in healthy, young Val/Val and Met carrier subjects. There were significant differences in the performance level on the 2-back WM task between the different COMT genotypes: Val/Val individuals exhibited a higher correct rate compared to the Met carriers. A two-sample t test was used to examine the differences in the eigenvector centrality maps, using age and gender as covariates of no interest, between the Val/Val and Met carriers. We found that the Val/Val individuals exhibited significantly higher eigenvector centrality compared to the Met carriers in the left parahippocampal cortex. Furthermore, a significantly positive correlation between the mean eigenvector centrality of the significant cluster and the correct rate of the 2-back WM task was observed. By using a voxel-wise data-driven method, our findings may provide plausible implications regarding individual differences in the genetic contribution of COMT Val158Met to the brain network and cognition.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Brain Institute Publications
Official 2016 Collection
Centre for Advanced Imaging Publications
 
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