Article (Périodiques scientifiques)
Structural architecture and brain network efficiency link polygenic scores to intelligence.
Genç, Erhan; Metzen, Dorothea; Fraenz, Christoph et al.
2023In Human Brain Mapping
Peer reviewed vérifié par ORBi
 

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Mots-clés :
DWI connectivity; P-FIT; graph theory; intelligence; polygenic scores; resting state fMRI
Résumé :
[en] Intelligence is highly heritable. Genome-wide association studies (GWAS) have shown that thousands of alleles contribute to variation in intelligence with small effect sizes. Polygenic scores (PGS), which combine these effects into one genetic summary measure, are increasingly used to investigate polygenic effects in independent samples. Whereas PGS explain a considerable amount of variance in intelligence, it is largely unknown how brain structure and function mediate this relationship. Here, we show that individuals with higher PGS for educational attainment and intelligence had higher scores on cognitive tests, larger surface area, and more efficient fiber connectivity derived by graph theory. Fiber network efficiency as well as the surface of brain areas partly located in parieto-frontal regions were found to mediate the relationship between PGS and cognitive performance. These findings are a crucial step forward in decoding the neurogenetic underpinnings of intelligence, as they identify specific regional networks that link polygenic predisposition to intelligence.
Disciplines :
Neurosciences & comportement
Auteur, co-auteur :
Genç, Erhan
Metzen, Dorothea
Fraenz, Christoph
Schlüter, Caroline
Voelkle, Manuel C.
Arning, Larissa
Streit, Fabian
Nguyen, Huu Phuc
Güntürkün, Onur
Ocklenburg, Sebastian
KUMSTA, Robert  ;  University of Luxembourg > Faculty of Humanities, Education and Social Sciences (FHSE) > Department of Behavioural and Cognitive Sciences (DBCS)
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Structural architecture and brain network efficiency link polygenic scores to intelligence.
Date de publication/diffusion :
2023
Titre du périodique :
Human Brain Mapping
ISSN :
1065-9471
eISSN :
1097-0193
Maison d'édition :
John Wiley & Sons, Hoboken, Etats-Unis - New York
Peer reviewed :
Peer reviewed vérifié par ORBi
Commentaire :
© 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
Disponible sur ORBilu :
depuis le 05 avril 2023

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