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dc.contributor.authorWalhovd, Kristine Beate
dc.contributor.authorFjell, Anders M.
dc.contributor.authorBrown, Timothy T.
dc.contributor.authorKuperman, Joshua M.
dc.contributor.authorChung, Yoonho
dc.contributor.authorHagler, Donald J. Jr.
dc.contributor.authorRoddey, J. Cooper
dc.contributor.authorErhart, Matthew
dc.contributor.authorMcCabe, Connor
dc.contributor.authorAkshoomoff, Natacha
dc.contributor.authorAmaral, David G.
dc.contributor.authorBloss, Cinnamon S.
dc.contributor.authorLibiger, Ondrej
dc.contributor.authorSchork, Nicholas J.
dc.contributor.authorDarst, Burcu F.
dc.contributor.authorCasey, B. J.
dc.contributor.authorChang, Linda
dc.contributor.authorErnst, Thomas M.
dc.contributor.authorFrazier, Jean A.
dc.contributor.authorGruen, Jeffrey R.
dc.contributor.authorKaufmann, Walter E.
dc.contributor.authorMurray, Sarah S.
dc.contributor.authorvan Zijl, Peter
dc.contributor.authorMostofsky, Stewart
dc.contributor.authorDale, Anders
dc.contributor.authorPediatric Imaging, Neurocognition, and Genetics Study
dc.date2022-08-11T08:10:28.000
dc.date.accessioned2022-08-23T17:10:35Z
dc.date.available2022-08-23T17:10:35Z
dc.date.issued2012-12-04
dc.date.submitted2013-03-28
dc.identifier.citationProc Natl Acad Sci U S A. 2012 Dec 4;109(49):20089-94. doi: 10.1073/pnas.1208180109. <a href="http://dx.doi.org/10.1073/pnas.1208180109" target="_blank">Link to article on publisher's site</a>
dc.identifier.issn0027-8424 (Linking)
dc.identifier.doi10.1073/pnas.1208180109
dc.identifier.pmid23169628
dc.identifier.urihttp://hdl.handle.net/20.500.14038/46079
dc.description.abstractIt is now recognized that a number of cognitive, behavioral, and mental health outcomes across the lifespan can be traced to fetal development. Although the direct mediation is unknown, the substantial variance in fetal growth, most commonly indexed by birth weight, may affect lifespan brain development. We investigated effects of normal variance in birth weight on MRI-derived measures of brain development in 628 healthy children, adolescents, and young adults in the large-scale multicenter Pediatric Imaging, Neurocognition, and Genetics study. This heterogeneous sample was recruited through geographically dispersed sites in the United States. The influence of birth weight on cortical thickness, surface area, and striatal and total brain volumes was investigated, controlling for variance in age, sex, household income, and genetic ancestry factors. Birth weight was found to exert robust positive effects on regional cortical surface area in multiple regions as well as total brain and caudate volumes. These effects were continuous across birth weight ranges and ages and were not confined to subsets of the sample. The findings show that (i) aspects of later child and adolescent brain development are influenced at birth and (ii) relatively small differences in birth weight across groups and conditions typically compared in neuropsychiatric research (e.g., Attention Deficit Hyperactivity Disorder, schizophrenia, and personality disorders) may influence group differences observed in brain parameters of interest at a later stage in life. These findings should serve to increase our attention to early influences.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=23169628&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1073/pnas.1208180109
dc.rightsPublisher PDF posted as allowed by the publisher's author rights policy at http://www.pnas.org/site/aboutpnas/authorfaq.xhtml.
dc.subjectAdolescent
dc.subjectAge Factors
dc.subjectBirth Weight
dc.subjectBrain
dc.subjectChild
dc.subjectFemale
dc.subjectFetal Development
dc.subjectHumans
dc.subjectImage Processing, Computer-Assisted
dc.subjectInfant, Newborn
dc.subjectMagnetic Resonance Imaging
dc.subjectMale
dc.subjectOrgan Size
dc.subjectRegression Analysis
dc.subjectSex Factors
dc.subjectSocioeconomic Factors
dc.subjectUnited States
dc.subjectYoung Adult
dc.subjectNeurology
dc.subjectNeuroscience and Neurobiology
dc.subjectPediatrics
dc.subjectPsychiatry
dc.subjectPsychiatry and Psychology
dc.titleLong-term influence of normal variation in neonatal characteristics on human brain development
dc.typeJournal Article
dc.source.journaltitleProceedings of the National Academy of Sciences of the United States of America
dc.source.volume109
dc.source.issue49
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1618&amp;context=psych_pp&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/psych_pp/618
dc.identifier.contextkey3968636
refterms.dateFOA2022-08-23T17:10:35Z
html.description.abstract<p>It is now recognized that a number of cognitive, behavioral, and mental health outcomes across the lifespan can be traced to fetal development. Although the direct mediation is unknown, the substantial variance in fetal growth, most commonly indexed by birth weight, may affect lifespan brain development. We investigated effects of normal variance in birth weight on MRI-derived measures of brain development in 628 healthy children, adolescents, and young adults in the large-scale multicenter Pediatric Imaging, Neurocognition, and Genetics study. This heterogeneous sample was recruited through geographically dispersed sites in the United States. The influence of birth weight on cortical thickness, surface area, and striatal and total brain volumes was investigated, controlling for variance in age, sex, household income, and genetic ancestry factors. Birth weight was found to exert robust positive effects on regional cortical surface area in multiple regions as well as total brain and caudate volumes. These effects were continuous across birth weight ranges and ages and were not confined to subsets of the sample. The findings show that (i) aspects of later child and adolescent brain development are influenced at birth and (ii) relatively small differences in birth weight across groups and conditions typically compared in neuropsychiatric research (e.g., Attention Deficit Hyperactivity Disorder, schizophrenia, and personality disorders) may influence group differences observed in brain parameters of interest at a later stage in life. These findings should serve to increase our attention to early influences.</p>
dc.identifier.submissionpathpsych_pp/618
dc.contributor.departmentDepartment of Psychiatry
dc.source.pages20089-94


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