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A cognitive neurogenetic approach to uncovering the structure of executive functions
One central mission of cognitive neuroscience is to understand the ontology of complex cognitive functions. We addressed this question with a cognitive neurogenetic approach using a large-scale dataset of executive functions (EFs), whole-brain resting-state functional connectivity, and genetic polym...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357028/ https://www.ncbi.nlm.nih.gov/pubmed/35933428 http://dx.doi.org/10.1038/s41467-022-32383-0 |
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author | Feng, Junjiao Zhang, Liang Chen, Chunhui Sheng, Jintao Ye, Zhifang Feng, Kanyin Liu, Jing Cai, Ying Zhu, Bi Yu, Zhaoxia Chen, Chuansheng Dong, Qi Xue, Gui |
author_facet | Feng, Junjiao Zhang, Liang Chen, Chunhui Sheng, Jintao Ye, Zhifang Feng, Kanyin Liu, Jing Cai, Ying Zhu, Bi Yu, Zhaoxia Chen, Chuansheng Dong, Qi Xue, Gui |
author_sort | Feng, Junjiao |
collection | PubMed |
description | One central mission of cognitive neuroscience is to understand the ontology of complex cognitive functions. We addressed this question with a cognitive neurogenetic approach using a large-scale dataset of executive functions (EFs), whole-brain resting-state functional connectivity, and genetic polymorphisms. We found that the bifactor model with common and shifting-specific components not only was parsimonious but also showed maximal dissociations among the EF components at behavioral, neural, and genetic levels. In particular, the genes with enhanced expression in the middle frontal gyrus (MFG) and the subcallosal cingulate gyrus (SCG) showed enrichment for the common and shifting-specific component, respectively. Finally, High-dimensional mediation models further revealed that the functional connectivity patterns significantly mediated the genetic effect on the common EF component. Our study not only reveals insights into the ontology of EFs and their neurogenetic basis, but also provides useful tools to uncover the structure of complex constructs of human cognition. |
format | Online Article Text |
id | pubmed-9357028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93570282022-08-08 A cognitive neurogenetic approach to uncovering the structure of executive functions Feng, Junjiao Zhang, Liang Chen, Chunhui Sheng, Jintao Ye, Zhifang Feng, Kanyin Liu, Jing Cai, Ying Zhu, Bi Yu, Zhaoxia Chen, Chuansheng Dong, Qi Xue, Gui Nat Commun Article One central mission of cognitive neuroscience is to understand the ontology of complex cognitive functions. We addressed this question with a cognitive neurogenetic approach using a large-scale dataset of executive functions (EFs), whole-brain resting-state functional connectivity, and genetic polymorphisms. We found that the bifactor model with common and shifting-specific components not only was parsimonious but also showed maximal dissociations among the EF components at behavioral, neural, and genetic levels. In particular, the genes with enhanced expression in the middle frontal gyrus (MFG) and the subcallosal cingulate gyrus (SCG) showed enrichment for the common and shifting-specific component, respectively. Finally, High-dimensional mediation models further revealed that the functional connectivity patterns significantly mediated the genetic effect on the common EF component. Our study not only reveals insights into the ontology of EFs and their neurogenetic basis, but also provides useful tools to uncover the structure of complex constructs of human cognition. Nature Publishing Group UK 2022-08-06 /pmc/articles/PMC9357028/ /pubmed/35933428 http://dx.doi.org/10.1038/s41467-022-32383-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Feng, Junjiao Zhang, Liang Chen, Chunhui Sheng, Jintao Ye, Zhifang Feng, Kanyin Liu, Jing Cai, Ying Zhu, Bi Yu, Zhaoxia Chen, Chuansheng Dong, Qi Xue, Gui A cognitive neurogenetic approach to uncovering the structure of executive functions |
title | A cognitive neurogenetic approach to uncovering the structure of executive functions |
title_full | A cognitive neurogenetic approach to uncovering the structure of executive functions |
title_fullStr | A cognitive neurogenetic approach to uncovering the structure of executive functions |
title_full_unstemmed | A cognitive neurogenetic approach to uncovering the structure of executive functions |
title_short | A cognitive neurogenetic approach to uncovering the structure of executive functions |
title_sort | cognitive neurogenetic approach to uncovering the structure of executive functions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357028/ https://www.ncbi.nlm.nih.gov/pubmed/35933428 http://dx.doi.org/10.1038/s41467-022-32383-0 |
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