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| Verfasst von: | Genç, Erhan [VerfasserIn]  |
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| | Metzen, Dorothea [VerfasserIn] |
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| | Fraenz, Christoph [VerfasserIn] |
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| | Schlüter, Caroline [VerfasserIn] |
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| | Voelkle, Manuel C. [VerfasserIn] |
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| | Arning, Larissa [VerfasserIn] |
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| | Streit, Fabian [VerfasserIn] |
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| | Nguyen, Huu Phuc [VerfasserIn] |
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| | Güntürkün, Onur [VerfasserIn] |
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| | Ocklenburg, Sebastian [VerfasserIn] |
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| | Kumsta, Robert [VerfasserIn] |
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| Titel: | Structural architecture and brain network efficiency link polygenic scores to intelligence |
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| Verf.angabe: | Erhan Genç, Dorothea Metzen, Christoph Fraenz, Caroline Schlüter, Manuel C. Voelkle, Larissa Arning, Fabian Streit, Huu Phuc Nguyen, Onur Güntürkün, Sebastian Ocklenburg, Robert Kumsta |
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| E-Jahr: | 2023 |
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| Jahr: | June 1, 2023 |
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| Umfang: | 18 S. |
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| Illustrationen: | Illustrationen |
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| Fussnoten: | Online veröffentlicht: 4. April 2023 ; Gesehen am 18.09.2024 |
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| Titel Quelle: | Enthalten in: Human brain mapping |
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| Ort Quelle: | New York, NY : Wiley-Liss, 1993 |
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| Jahr Quelle: | 2023 |
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| Band/Heft Quelle: | 44(2023), 8, Seite 3359-3376 |
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| ISSN Quelle: | 1097-0193 |
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| Abstract: | 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. |
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| DOI: | doi:10.1002/hbm.26286 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1002/hbm.26286 |
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| | kostenfrei: Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.26286 |
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| | DOI: https://doi.org/10.1002/hbm.26286 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | DWI connectivity |
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| | graph theory |
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| | intelligence |
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| | P-FIT |
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| | polygenic scores |
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| | resting state fMRI |
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| K10plus-PPN: | 1902817508 |
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| Verknüpfungen: | → Zeitschrift |
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Structural architecture and brain network efficiency link polygenic scores to intelligence / Genç, Erhan [VerfasserIn]; June 1, 2023 (Online-Ressource)
