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The catechol-o-methyltransferase Val(158)Met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects

The influence of catechol-o-methyltransferase (COMT) Val(158)Met 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 exami...

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Autores principales: Zhang, Xiaolong, Li, Jin, Qin, Wen, Yu, Chunshui, Liu, Bing, Jiang, Tianzi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460568/
https://www.ncbi.nlm.nih.gov/pubmed/26054510
http://dx.doi.org/10.1038/srep10105
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author Zhang, Xiaolong
Li, Jin
Qin, Wen
Yu, Chunshui
Liu, Bing
Jiang, Tianzi
author_facet Zhang, Xiaolong
Li, Jin
Qin, Wen
Yu, Chunshui
Liu, Bing
Jiang, Tianzi
author_sort Zhang, Xiaolong
collection PubMed
description The influence of catechol-o-methyltransferase (COMT) Val(158)Met 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 Val(158)Met 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.
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spelling pubmed-44605682015-06-18 The catechol-o-methyltransferase Val(158)Met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects Zhang, Xiaolong Li, Jin Qin, Wen Yu, Chunshui Liu, Bing Jiang, Tianzi Sci Rep Article The influence of catechol-o-methyltransferase (COMT) Val(158)Met 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 Val(158)Met 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. Nature Publishing Group 2015-06-09 /pmc/articles/PMC4460568/ /pubmed/26054510 http://dx.doi.org/10.1038/srep10105 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Zhang, Xiaolong
Li, Jin
Qin, Wen
Yu, Chunshui
Liu, Bing
Jiang, Tianzi
The catechol-o-methyltransferase Val(158)Met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects
title The catechol-o-methyltransferase Val(158)Met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects
title_full The catechol-o-methyltransferase Val(158)Met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects
title_fullStr The catechol-o-methyltransferase Val(158)Met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects
title_full_unstemmed The catechol-o-methyltransferase Val(158)Met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects
title_short The catechol-o-methyltransferase Val(158)Met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects
title_sort catechol-o-methyltransferase val(158)met polymorphism modulates the intrinsic functional network centrality of the parahippocampal cortex in healthy subjects
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4460568/
https://www.ncbi.nlm.nih.gov/pubmed/26054510
http://dx.doi.org/10.1038/srep10105
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