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Adolescent alcohol consumption predicted by differences in electrophysiological functional connectivity and neuroanatomy

dc.contributor.authordel Cerro-León, Alberto
dc.contributor.authorAntón Toro, Luis Fernando
dc.contributor.authorShpakivska-­ Bilan, Danylyna
dc.contributor.authorUceta, Marcos
dc.contributor.authorSantos Mayo, Alejandro
dc.contributor.authorCuesta Prieto, Pablo
dc.contributor.authorBruña Fernández, Ricardo
dc.contributor.authorGarcía Moreno, Luis Miguel
dc.contributor.authorMaestu Unturbe, Fernando
dc.date.accessioned2024-11-11T07:34:13Z
dc.date.available2024-11-11T07:34:13Z
dc.date.issued2024-10-08
dc.descriptionAcceso restringido hasta el 8 de abril de 2025
dc.description.abstractAlcohol consumption during adolescence has been associated with neuroanatomical abnormalities and the appearance of future disorders. However, the latest advances in this field point to the existence of risk profiles which may lead to some individuals into an early consumption. To date, some studies have established predictive models of consumption based on sociodemographic, behavioral, and anatomical–functional variables using MRI. However, the neuroimaging variables employed are usually restricted to local and hemodynamic phenomena. Given the potential of connectome approaches, and the high temporal dynamics of electrophysiology, we decided to explore the relationship between future alcohol consumption and electrophysiological connectivity measured by MEG in a cohort of 83 individuals aged 14 to 16. As a result, we found a positive correlation between alcohol consumption and the functional connectivity in frontal, parietal, and frontoparietal connections. Once this relationship was described, multivariate linear regression analyses were used to evaluate the predictive capacity of functional connectivity in conjunction with other neuroanatomical and behavioral variables described in the literature. Finally, the multivariate linear regression analysis determined the importance of anatomical and functional variables in the prediction of alcohol consumption but failed to find associations with impulsivity, sensation seeking, and executive function scales. In conclusion, the predictive traits obtained in these models were closely associated with changes occurring during adolescence, suggesting the existence of different paths in neurodevelopment that have the potential to influence adolescents’ relationship with alcohol consumption.
dc.description.departmentDepto. de Radiología, Rehabilitación y Fisioterapia
dc.description.facultyFac. de Medicina
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Sanidad (España)
dc.description.statuspub
dc.identifier.citationDel Cerro-León, A., Fernando Antón-Toro, L., Shpakivska-Bilan, D., Uceta, M., Santos-Mayo, A., Cuesta, P., Bruña, R., García-Moreno, L. M., & Maestú, F. (2024). Adolescent alcohol consumption predicted by differences in electrophysiological functional connectivity and neuroanatomy. Proceedings of the National Academy of Sciences of the United States of America, 121(42), e2320805121. https://doi.org/10.1073/pnas.2320805121
dc.identifier.doi10.1073/pnas.2320805121
dc.identifier.essn1091-6490
dc.identifier.issn0027-8424
dc.identifier.officialurlhttps://doi.org/10.1073/pnas.2320805121
dc.identifier.relatedurlhttps://www.pnas.org/doi/10.1073/pnas.2320805121
dc.identifier.urihttps://hdl.handle.net/20.500.14352/110375
dc.issue.number42
dc.journal.titleProceedings of the National Academy of Sciences (PNAS)
dc.language.isoeng
dc.page.initiale2320805121
dc.publisherWashington, D.C. National Academy of Sciences
dc.relation.projectIDPR2014
dc.relation.projectIDPNSD2017|039
dc.relation.projectIDPNSD2021|075
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu612.8
dc.subject.cdu159.9
dc.subject.ucmNeurociencias (Medicina)
dc.subject.unesco61 Psicología
dc.titleAdolescent alcohol consumption predicted by differences in electrophysiological functional connectivity and neuroanatomy
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number121
dspace.entity.typePublication
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