Long-term influence of normal variation in neonatal characteristics on human brain development
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 develop...
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Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2012-12, Vol.109 (49), p.20089-20094 |
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creator | Walhovd, Kristine B Fjell, Anders M Brown, Timothy T Kuperman, Joshua M Chung, Yoonho Hagler, Donald J Roddey, J. Cooper Erhart, Matthew McCabe, Connor Akshoomoff, Natacha Amaral, David G Bloss, Cinnamon S Libiger, Ondrej Schork, Nicholas J Darst, Burcu F Casey, B. J Chang, Linda Ernst, Thomas M Frazier, Jean Gruen, Jeffrey R Kaufmann, Walter E Murray, Sarah S van Zijl, Peter Mostofsky, Stewart Dale, Anders M Jernigan, Terry L Newman, Erik Ernst, Thomas Van Zijl, Peter Kuperman, Joshua Murray, Sarah Bloss, Cinnamon Appelbaum, Mark Gamst, Anthony Thompson, Wesley Bartsch, Hauke Keating, Brian Amaral, David Sowell, Elizabeth Kaufmann, Walter Casey, B.J Ruberry, Erika J Powers, Alisa Rosen, Bruce Kenet, Tal Kennedy, David Gruen, Jeffrey |
description | 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. |
doi_str_mv | 10.1073/pnas.1208180109 |
format | Article |
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Cooper ; Erhart, Matthew ; McCabe, Connor ; Akshoomoff, Natacha ; Amaral, David G ; Bloss, Cinnamon S ; Libiger, Ondrej ; Schork, Nicholas J ; Darst, Burcu F ; Casey, B. J ; Chang, Linda ; Ernst, Thomas M ; Frazier, Jean ; Gruen, Jeffrey R ; Kaufmann, Walter E ; Murray, Sarah S ; van Zijl, Peter ; Mostofsky, Stewart ; Dale, Anders M ; Jernigan, Terry L ; Newman, Erik ; Ernst, Thomas ; Van Zijl, Peter ; Kuperman, Joshua ; Murray, Sarah ; Bloss, Cinnamon ; Appelbaum, Mark ; Gamst, Anthony ; Thompson, Wesley ; Bartsch, Hauke ; Keating, Brian ; Amaral, David ; Sowell, Elizabeth ; Kaufmann, Walter ; Casey, B.J ; Ruberry, Erika J ; Powers, Alisa ; Rosen, Bruce ; Kenet, Tal ; Kennedy, David ; Gruen, Jeffrey</creator><creatorcontrib>Walhovd, Kristine B ; Fjell, Anders M ; Brown, Timothy T ; Kuperman, Joshua M ; Chung, Yoonho ; Hagler, Donald J ; Roddey, J. Cooper ; Erhart, Matthew ; McCabe, Connor ; Akshoomoff, Natacha ; Amaral, David G ; Bloss, Cinnamon S ; Libiger, Ondrej ; Schork, Nicholas J ; Darst, Burcu F ; Casey, B. J ; Chang, Linda ; Ernst, Thomas M ; Frazier, Jean ; Gruen, Jeffrey R ; Kaufmann, Walter E ; Murray, Sarah S ; van Zijl, Peter ; Mostofsky, Stewart ; Dale, Anders M ; Jernigan, Terry L ; Newman, Erik ; Ernst, Thomas ; Van Zijl, Peter ; Kuperman, Joshua ; Murray, Sarah ; Bloss, Cinnamon ; Appelbaum, Mark ; Gamst, Anthony ; Thompson, Wesley ; Bartsch, Hauke ; Keating, Brian ; Amaral, David ; Sowell, Elizabeth ; Kaufmann, Walter ; Casey, B.J ; Ruberry, Erika J ; Powers, Alisa ; Rosen, Bruce ; Kenet, Tal ; Kennedy, David ; Gruen, Jeffrey ; Pediatric Imaging, Neurocognition, and Genetics Study ; for the Pediatric Imaging, Neurocognition, and Genetics Study</creatorcontrib><description>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.</description><identifier>ISSN: 0027-8424</identifier><identifier>EISSN: 1091-6490</identifier><identifier>DOI: 10.1073/pnas.1208180109</identifier><identifier>PMID: 23169628</identifier><language>eng</language><publisher>United States: National Academy of Sciences</publisher><subject>Adolescent ; adolescents ; Age Factors ; ancestry ; Biological Sciences ; Birth weight ; Birth Weight - physiology ; Brain ; Brain - anatomy & histology ; Brain - growth & development ; Child ; Child growth ; Childhood ; children ; Children & youth ; cognition ; Cognition & reasoning ; Developmental biology ; Female ; fetal development ; Fetal Development - physiology ; Gestational age ; Household income ; Humans ; image analysis ; Image Processing, Computer-Assisted ; Imaging ; Infant, Newborn ; longevity ; Low birth weight ; Magnetic Resonance Imaging ; Male ; Medical genetics ; Mental health ; NMR ; Nuclear magnetic resonance ; Organ Size ; personality disorders ; Regression Analysis ; schizophrenia ; Sex Factors ; Socioeconomic Factors ; surface area ; Surface areas ; United States ; variance ; Young Adult ; young adults</subject><ispartof>Proceedings of the National Academy of Sciences - PNAS, 2012-12, Vol.109 (49), p.20089-20094</ispartof><rights>copyright © 1993-2008 National Academy of Sciences of the United States of America</rights><rights>Copyright National Academy of Sciences Dec 4, 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c525t-3428c3a0727fd954e0434c90ae213618b9bba3e85c4d30d39c1412dc8b9ae2803</citedby><cites>FETCH-LOGICAL-c525t-3428c3a0727fd954e0434c90ae213618b9bba3e85c4d30d39c1412dc8b9ae2803</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.pnas.org/content/109/49.cover.gif</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/41830470$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/41830470$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>230,314,723,776,780,799,881,27901,27902,53766,53768,57992,58225</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23169628$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Walhovd, Kristine B</creatorcontrib><creatorcontrib>Fjell, Anders M</creatorcontrib><creatorcontrib>Brown, Timothy T</creatorcontrib><creatorcontrib>Kuperman, Joshua M</creatorcontrib><creatorcontrib>Chung, Yoonho</creatorcontrib><creatorcontrib>Hagler, Donald J</creatorcontrib><creatorcontrib>Roddey, J. Cooper</creatorcontrib><creatorcontrib>Erhart, Matthew</creatorcontrib><creatorcontrib>McCabe, Connor</creatorcontrib><creatorcontrib>Akshoomoff, Natacha</creatorcontrib><creatorcontrib>Amaral, David G</creatorcontrib><creatorcontrib>Bloss, Cinnamon S</creatorcontrib><creatorcontrib>Libiger, Ondrej</creatorcontrib><creatorcontrib>Schork, Nicholas J</creatorcontrib><creatorcontrib>Darst, Burcu F</creatorcontrib><creatorcontrib>Casey, B. 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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.</description><subject>Adolescent</subject><subject>adolescents</subject><subject>Age Factors</subject><subject>ancestry</subject><subject>Biological Sciences</subject><subject>Birth weight</subject><subject>Birth Weight - physiology</subject><subject>Brain</subject><subject>Brain - anatomy & histology</subject><subject>Brain - growth & development</subject><subject>Child</subject><subject>Child growth</subject><subject>Childhood</subject><subject>children</subject><subject>Children & youth</subject><subject>cognition</subject><subject>Cognition & reasoning</subject><subject>Developmental biology</subject><subject>Female</subject><subject>fetal development</subject><subject>Fetal Development - physiology</subject><subject>Gestational age</subject><subject>Household income</subject><subject>Humans</subject><subject>image analysis</subject><subject>Image Processing, Computer-Assisted</subject><subject>Imaging</subject><subject>Infant, Newborn</subject><subject>longevity</subject><subject>Low birth weight</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Medical genetics</subject><subject>Mental health</subject><subject>NMR</subject><subject>Nuclear magnetic resonance</subject><subject>Organ Size</subject><subject>personality disorders</subject><subject>Regression Analysis</subject><subject>schizophrenia</subject><subject>Sex Factors</subject><subject>Socioeconomic Factors</subject><subject>surface area</subject><subject>Surface areas</subject><subject>United States</subject><subject>variance</subject><subject>Young Adult</subject><subject>young adults</subject><issn>0027-8424</issn><issn>1091-6490</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc2P0zAQxS0EYsvCmRMQaS9csjv-SGJfkNBq-ZAqcYC9YjmO07pK7GInlfjvmailC1y42JLfb96M5xHyksI1hYbf7IPJ15SBpBIoqEdkhScta6HgMVkBsKaUgokL8iznHQCoSsJTcsE4rVXN5Ip8X8ewKSeXxsKHfphdsK6IfRFiGs1QHEzyZvIxoFoEF4OZ8NVuTTIWi3yevM0Fytt5NKFok0Gucwc3xP3owvScPOnNkN2L031J7j_cfbv9VK6_fPx8-35d2opVU8kFk5YbaFjTd6oSDgQXVoFxjPKayla1reFOVlZ0HDquLBWUdRYFRCTwS_Lu6Luf29F1FlsnM-h98qNJP3U0Xv-tBL_Vm3jQvGJc8hoN3p4MUvwxuzzp0WfrhsHgr-escb8cFGdM_h9lDcc0GrqgV_-guzingJtAamksJRdI3Rwpm2LOyfXnuSnoJWa9xKwfYsaK139-98z_zhWB4gQslQ92SgulGYBcPF4dkV2eYjozAscG0SwrfXPUexO12WDW-v4rA1oDUA4VMP4LnDfBJQ</recordid><startdate>20121204</startdate><enddate>20121204</enddate><creator>Walhovd, Kristine B</creator><creator>Fjell, Anders M</creator><creator>Brown, Timothy T</creator><creator>Kuperman, Joshua M</creator><creator>Chung, Yoonho</creator><creator>Hagler, Donald J</creator><creator>Roddey, J. 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J</au><au>Chang, Linda</au><au>Ernst, Thomas M</au><au>Frazier, Jean</au><au>Gruen, Jeffrey R</au><au>Kaufmann, Walter E</au><au>Murray, Sarah S</au><au>van Zijl, Peter</au><au>Mostofsky, Stewart</au><au>Dale, Anders M</au><au>Jernigan, Terry L</au><au>Newman, Erik</au><au>Ernst, Thomas</au><au>Van Zijl, Peter</au><au>Kuperman, Joshua</au><au>Murray, Sarah</au><au>Bloss, Cinnamon</au><au>Appelbaum, Mark</au><au>Gamst, Anthony</au><au>Thompson, Wesley</au><au>Bartsch, Hauke</au><au>Keating, Brian</au><au>Amaral, David</au><au>Sowell, Elizabeth</au><au>Kaufmann, Walter</au><au>Casey, B.J</au><au>Ruberry, Erika J</au><au>Powers, Alisa</au><au>Rosen, Bruce</au><au>Kenet, Tal</au><au>Kennedy, David</au><au>Gruen, Jeffrey</au><aucorp>Pediatric Imaging, Neurocognition, and Genetics Study</aucorp><aucorp>for the Pediatric Imaging, Neurocognition, and Genetics Study</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Long-term influence of normal variation in neonatal characteristics on human brain development</atitle><jtitle>Proceedings of the National Academy of Sciences - PNAS</jtitle><addtitle>Proc Natl Acad Sci U S A</addtitle><date>2012-12-04</date><risdate>2012</risdate><volume>109</volume><issue>49</issue><spage>20089</spage><epage>20094</epage><pages>20089-20094</pages><issn>0027-8424</issn><eissn>1091-6490</eissn><abstract>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.</abstract><cop>United States</cop><pub>National Academy of Sciences</pub><pmid>23169628</pmid><doi>10.1073/pnas.1208180109</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0027-8424 |
ispartof | Proceedings of the National Academy of Sciences - PNAS, 2012-12, Vol.109 (49), p.20089-20094 |
issn | 0027-8424 1091-6490 |
language | eng |
recordid | cdi_proquest_journals_1223838834 |
source | Jstor Complete Legacy; MEDLINE; PubMed Central; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
subjects | Adolescent adolescents Age Factors ancestry Biological Sciences Birth weight Birth Weight - physiology Brain Brain - anatomy & histology Brain - growth & development Child Child growth Childhood children Children & youth cognition Cognition & reasoning Developmental biology Female fetal development Fetal Development - physiology Gestational age Household income Humans image analysis Image Processing, Computer-Assisted Imaging Infant, Newborn longevity Low birth weight Magnetic Resonance Imaging Male Medical genetics Mental health NMR Nuclear magnetic resonance Organ Size personality disorders Regression Analysis schizophrenia Sex Factors Socioeconomic Factors surface area Surface areas United States variance Young Adult young adults |
title | Long-term influence of normal variation in neonatal characteristics on human brain development |
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