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dc.contributor.authorCarrión-Castillo, Amaia
dc.contributor.authorPaz-Alonso, Pedro M.
dc.contributor.authorCarreiras, Manuel
dc.date10 October 2023
dc.date.accessioned2024-04-12T07:52:20Z
dc.date.available2024-04-12T07:52:20Z
dc.date.issued2023
dc.identifier.citationCarrión-Castillo, A., Paz-Alonso, P.M. & Carreiras, M. Brain structure, phenotypic and genetic correlates of reading performance. Nat Hum Behav 7, 1120–1134 (2023). https://doi.org/10.1038/s41562-023-01583-zes_ES
dc.identifier.citationNature Human Behaviour
dc.identifier.issn2397-3374
dc.identifier.urihttp://hdl.handle.net/10810/66627
dc.descriptionPublished on 10 April 2023es_ES
dc.description.abstractReading is an evolutionarily recent development that recruits and tunes brain circuitry connecting primary- and language-processing regions. We investigated whether metrics of the brain’s physical structure correlate with reading performance and whether genetic variants affect this relationship. To this aim, we used the Adolescent Brain Cognitive Development dataset (n = 9,013) of 9–10-year-olds and focused on 150 measures of cortical surface area (CSA) and thickness. Our results reveal that reading performance is associated with nine measures of brain structure including relevant regions of the reading network. Furthermore, we show that this relationship is partially mediated by genetic factors for two of these measures: the CSA of the entire left hemisphere and, specifically, of the left superior temporal gyrus CSA. These effects emphasize the complex and subtle interplay between genes, brain and reading, which is a partly heritable polygenic skill that relies on a distributed network.es_ES
dc.description.sponsorshipWe thank J. Barry and C. Handley for helping with manuscript proofreading. This research is supported by the Basque Government through the BERC 2022–2025 programme and by the Spanish State Research Agency through BCBL Severo Ochoa excellence accreditation no. CEX2020-001010-S. A.C.-C. received funding from the Spanish Ministry of Science and Innovation and the Agencia Estatal de Investigación through Ayudas Juan de la Cierva-Incorporación (ref. no. IJC2018-036023-I), the Programa Fellows Gipuzkoa de atracción y retención de talento from the Diputación Foral de Gipuzkoa. P.M.P-A. is supported by grants from the Spanish Ministry of Science and Innovation (grant no. PID2021-123574NB-I00), from the Basque Government (grant no. PIBA-2021-1-0003) and from the Red guipuzcoana de Ciencia, Tecnología e Innovación of the Diputación Foral de Gipuzkoa (grant no. FA/OF 422/2022). M.C. is supported by the Spanish Ministry of Science and Innovation grant (no. PID2021-122918OB-I00) and ‘La Caixa’ Foundation (grant no. ID 100010434), under the agreement no. HR18-00178-DYSTHAL. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript. Data used in the preparation of this article were obtained from the ABCD Study (https://abcdstudy.org/) and are held in the National Institute of Mental Health (NIMH) Data Archive. This is a multisite, longitudinal study designed to recruit more than 10,000 children aged 9–10 and follow them over 10 years into early adulthood. The ABCD Study is supported by the NIH and additional federal partners under award numbers U01DA041022, U01DA041028, U01DA041048, U01DA041089, U01DA041106, U01DA041117, U01DA041120, U01DA041134, U01DA041148, U01DA041156, U01DA041174, U24DA041123 and U24DA041147. A full list of supporters is available at https://abcdstudy.org/federal-partners/. A listing of participating sites and a complete listing of the study investigators can be found at https://abcdstudy.org/principal-investigators/. ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in the analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time. The ABCD data used in this report came from https://doi.org/10.15154/1520591 and https://doi.org/10.15154/1519007 (genotyping data).es_ES
dc.language.isoenges_ES
dc.publisherNATURE RESEARCHes_ES
dc.relationinfo:eu-repo/grantAgreement/GV/BERC2022-2025es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/CEX2020-001010-Ses_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/IJC2018-036023-Ies_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/PID2021-123574NB-I00es_ES
dc.relationinfo:eu-repo/grantAgreement/GV/PIBA-2021-1-0003es_ES
dc.relationinfo:eu-repo/grantAgreement/DFG/FA/OF422/2022es_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/PID2021-122918OB-I00es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectbehavioural geneticses_ES
dc.subjecthuman behavioures_ES
dc.subjectreadinges_ES
dc.titleBrain structure, phenotypic and genetic correlates of reading performancees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderSpringer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.es_ES
dc.relation.publisherversionhttps://www.nature.com/nathumbehav/es_ES
dc.identifier.doi10.1038/s41562-023-01583-z


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