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Educational attainment polygenic scores, socioeconomic factors, and resting-state functional connectivity in children and adolescents

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dc.contributor.authorHansen, Melissa, author
dc.contributor.authorMerz, Emily, advisor
dc.contributor.authorThomas, Michael, committee member
dc.contributor.authorSeger, Carol, committee member
dc.contributor.authorRiggs, Nathan, committee member
dc.date.accessioned2024-05-27T10:31:53Z
dc.date.available2024-05-27T10:31:53Z
dc.date.issued2024
dc.description.abstractSocioeconomic factors, such as family income and parental education, have been associated with resting-state functional connectivity (rsFC) in networks responsible for executive function in children and adolescents. Yet, children's socioeconomic context interacts with the genetics they inherit from their parents, and few studies of socioeconomic context and rsFC in children have considered genetics. Polygenic scores for educational attainment (PGS-EA) derived from genome-wide association studies (GWAS) reflect genetic predisposition to educational attainment. Yet, no studies have examined the associations between PGS-EA and rsFC. The goal of this study was to investigate how socioeconomic factors and PGS-EA jointly predict rsFC in neural networks associated with executive function, including the central executive (CEN), dorsal attention (DAN), salience (SN), and default mode networks (DMN) in children and adolescents. Participants are typically-developing 3- to 21-year-olds (N = 245, 51% female) from the previously-collected Pediatric Imaging, Neurocognition, and Genetics (PING) study. PGS-EA were computed based on the EA3 GWAS of educational attainment. Resting- state fMRI data were acquired, and system-level rsFC was computed. Findings indicated that family income was inversely associated with rsFC in the SN, while PGS-EA was positively associated with rsFC in the CEN. There were family income-by-age interactions for rsFC in the CEN and DAN, such that age was positively associated with rsFC in the CEN and DAN for children from higher income families and inversely associated with rsFC in the CEN for children from lower income families. These findings help to elucidate the independent genetic and socioeconomic contributions to connectivity in intrinsic functional neural networks underlying executive function.
dc.format.mediumborn digital
dc.format.mediummasters theses
dc.identifierHansen_colostate_0053N_18227.pdf
dc.identifier.urihttps://hdl.handle.net/10217/238379
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2020-
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.titleEducational attainment polygenic scores, socioeconomic factors, and resting-state functional connectivity in children and adolescents
dc.typeText
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplinePsychology
thesis.degree.grantorColorado State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.S.)

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