Consistent neuroanatomical age-related volume differences across multiple samples
Abstract Magnetic resonance imaging (MRI) is the principal method for studying structural age-related brain changes in vivo . However, previous research has yielded inconsistent results, precluding understanding of structural changes of the aging brain. This inconsistency is due to methodological di...
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| Veröffentlicht in: | Neurobiology of aging 2011-05, Vol.32 (5), p.916-932 |
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| creator | Walhovd, Kristine B Westlye, Lars T Amlien, Inge Espeseth, Thomas Reinvang, Ivar Raz, Naftali Agartz, Ingrid Salat, David H Greve, Doug N Fischl, Bruce Dale, Anders M Fjell, Anders M |
| description | Abstract Magnetic resonance imaging (MRI) is the principal method for studying structural age-related brain changes in vivo . However, previous research has yielded inconsistent results, precluding understanding of structural changes of the aging brain. This inconsistency is due to methodological differences and/or different aging patterns across samples. To overcome these problems, we tested age effects on 17 different neuroanatomical structures and total brain volume across five samples, of which one was split to further investigate consistency (883 participants). Widespread age-related volume differences were seen consistently across samples. In four of the five samples, all structures, except the brainstem, showed age-related volume differences. The strongest and most consistent effects were found for cerebral cortex, pallidum, putamen and accumbens volume. Total brain volume, cerebral white matter, caudate, hippocampus and the ventricles consistently showed non-linear age functions. Healthy aging appears associated with more widespread and consistent age-related neuroanatomical volume differences than previously believed. |
| doi_str_mv | 10.1016/j.neurobiolaging.2009.05.013 |
| format | Article |
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However, previous research has yielded inconsistent results, precluding understanding of structural changes of the aging brain. This inconsistency is due to methodological differences and/or different aging patterns across samples. To overcome these problems, we tested age effects on 17 different neuroanatomical structures and total brain volume across five samples, of which one was split to further investigate consistency (883 participants). Widespread age-related volume differences were seen consistently across samples. In four of the five samples, all structures, except the brainstem, showed age-related volume differences. The strongest and most consistent effects were found for cerebral cortex, pallidum, putamen and accumbens volume. Total brain volume, cerebral white matter, caudate, hippocampus and the ventricles consistently showed non-linear age functions. Healthy aging appears associated with more widespread and consistent age-related neuroanatomical volume differences than previously believed.</description><identifier>ISSN: 0197-4580</identifier><identifier>EISSN: 1558-1497</identifier><identifier>DOI: 10.1016/j.neurobiolaging.2009.05.013</identifier><identifier>PMID: 19570593</identifier><identifier>CODEN: NEAGDO</identifier><language>eng</language><publisher>London: Elsevier Inc</publisher><subject>Adult ; Age ; Age Factors ; Aged ; Aged, 80 and over ; Aging - pathology ; Amygdala ; Basal ganglia ; Biological and medical sciences ; Brain - pathology ; Cerebellum ; Cortex ; Development. Senescence. Regeneration. Transplantation ; Female ; Fundamental and applied biological sciences. Psychology ; Hippocampus ; Humans ; Internal Medicine ; Magnetic Resonance Imaging ; Male ; Middle Aged ; MRI morphometry ; Neurology ; Organ Size ; Thalamus ; Ventricles ; Vertebrates: nervous system and sense organs ; White matter ; Young Adult</subject><ispartof>Neurobiology of aging, 2011-05, Vol.32 (5), p.916-932</ispartof><rights>Elsevier Inc.</rights><rights>2009 Elsevier Inc.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2009 Elsevier Inc. All rights reserved.</rights><rights>2009 Elsevier Inc. All rights reserved. 2009</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c715t-d78ad0f2cb2e9731e1721ffd811235404228f60da8e6c5efb9650e90431d14c83</citedby><cites>FETCH-LOGICAL-c715t-d78ad0f2cb2e9731e1721ffd811235404228f60da8e6c5efb9650e90431d14c83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0197458009001742$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,550,776,780,881,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24147339$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19570593$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:122486901$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Walhovd, Kristine B</creatorcontrib><creatorcontrib>Westlye, Lars T</creatorcontrib><creatorcontrib>Amlien, Inge</creatorcontrib><creatorcontrib>Espeseth, Thomas</creatorcontrib><creatorcontrib>Reinvang, Ivar</creatorcontrib><creatorcontrib>Raz, Naftali</creatorcontrib><creatorcontrib>Agartz, Ingrid</creatorcontrib><creatorcontrib>Salat, David H</creatorcontrib><creatorcontrib>Greve, Doug N</creatorcontrib><creatorcontrib>Fischl, Bruce</creatorcontrib><creatorcontrib>Dale, Anders M</creatorcontrib><creatorcontrib>Fjell, Anders M</creatorcontrib><title>Consistent neuroanatomical age-related volume differences across multiple samples</title><title>Neurobiology of aging</title><addtitle>Neurobiol Aging</addtitle><description>Abstract Magnetic resonance imaging (MRI) is the principal method for studying structural age-related brain changes in vivo . However, previous research has yielded inconsistent results, precluding understanding of structural changes of the aging brain. This inconsistency is due to methodological differences and/or different aging patterns across samples. To overcome these problems, we tested age effects on 17 different neuroanatomical structures and total brain volume across five samples, of which one was split to further investigate consistency (883 participants). Widespread age-related volume differences were seen consistently across samples. In four of the five samples, all structures, except the brainstem, showed age-related volume differences. The strongest and most consistent effects were found for cerebral cortex, pallidum, putamen and accumbens volume. Total brain volume, cerebral white matter, caudate, hippocampus and the ventricles consistently showed non-linear age functions. Healthy aging appears associated with more widespread and consistent age-related neuroanatomical volume differences than previously believed.</description><subject>Adult</subject><subject>Age</subject><subject>Age Factors</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging - pathology</subject><subject>Amygdala</subject><subject>Basal ganglia</subject><subject>Biological and medical sciences</subject><subject>Brain - pathology</subject><subject>Cerebellum</subject><subject>Cortex</subject><subject>Development. Senescence. Regeneration. Transplantation</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Hippocampus</subject><subject>Humans</subject><subject>Internal Medicine</subject><subject>Magnetic Resonance Imaging</subject><subject>Male</subject><subject>Middle Aged</subject><subject>MRI morphometry</subject><subject>Neurology</subject><subject>Organ Size</subject><subject>Thalamus</subject><subject>Ventricles</subject><subject>Vertebrates: nervous system and sense organs</subject><subject>White matter</subject><subject>Young Adult</subject><issn>0197-4580</issn><issn>1558-1497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>D8T</sourceid><recordid>eNqNklFv0zAQxyMEYt3gK6A8gHhKuXPsOJHQJFQxQJqEEPBsuc6luHPiYidF-_Zz1mpQnvZky_e78939_1n2GmGJgNW77XKgKfi19U5v7LBZMoBmCWIJWD7JFihEXSBv5NNsAdjIgosazrLzGLcAILmsnmdn2AgJoikX2beVH6KNIw1jfl9XD3r0vTXa5XpDRSCnR2rzvXdTT3lru44CDYZirk3wMeb95Ea7c5RH3acjvsieddpFenk8L7KfVx9_rD4X118_fVl9uC6MRDEWrax1Cx0za0aNLJFQMuy6tkZkpeDAGau7ClpdU2UEdeumEkAN8BJb5KYuL7LiUDf-od20Vrtgex1ulddWHZ9u0o2UEJJBmfjLA58iPbUmTRy0O0k7jQz2l9r4vUq9AMP5w7fHAsH_niiOqrfRkHN6ID9FVVc8rVVC9QiSVYCs5ol8fyDvdxmoe-gHQc1yq606lVvNcisQKsmd0l_9O9Pf5KO-CXhzBHRMknZBD8bGB45x5LIsm8RdHThKiu0tBRWNnWVubSAzqtbbx3Z0-V8h4-ww2-mGbilu_RSG5AqFKjIF6vts0dmh0ACg5Ky8A56Y6SE</recordid><startdate>20110501</startdate><enddate>20110501</enddate><creator>Walhovd, Kristine B</creator><creator>Westlye, Lars T</creator><creator>Amlien, Inge</creator><creator>Espeseth, Thomas</creator><creator>Reinvang, Ivar</creator><creator>Raz, Naftali</creator><creator>Agartz, Ingrid</creator><creator>Salat, David H</creator><creator>Greve, Doug N</creator><creator>Fischl, Bruce</creator><creator>Dale, Anders M</creator><creator>Fjell, Anders M</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7TK</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope></search><sort><creationdate>20110501</creationdate><title>Consistent neuroanatomical age-related volume differences across multiple samples</title><author>Walhovd, Kristine B ; Westlye, Lars T ; Amlien, Inge ; Espeseth, Thomas ; Reinvang, Ivar ; Raz, Naftali ; Agartz, Ingrid ; Salat, David H ; Greve, Doug N ; Fischl, Bruce ; Dale, Anders M ; Fjell, Anders M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c715t-d78ad0f2cb2e9731e1721ffd811235404228f60da8e6c5efb9650e90431d14c83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Adult</topic><topic>Age</topic><topic>Age Factors</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging - pathology</topic><topic>Amygdala</topic><topic>Basal ganglia</topic><topic>Biological and medical sciences</topic><topic>Brain - pathology</topic><topic>Cerebellum</topic><topic>Cortex</topic><topic>Development. 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| ispartof | Neurobiology of aging, 2011-05, Vol.32 (5), p.916-932 |
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| subjects | Adult Age Age Factors Aged Aged, 80 and over Aging - pathology Amygdala Basal ganglia Biological and medical sciences Brain - pathology Cerebellum Cortex Development. Senescence. Regeneration. Transplantation Female Fundamental and applied biological sciences. Psychology Hippocampus Humans Internal Medicine Magnetic Resonance Imaging Male Middle Aged MRI morphometry Neurology Organ Size Thalamus Ventricles Vertebrates: nervous system and sense organs White matter Young Adult |
| title | Consistent neuroanatomical age-related volume differences across multiple samples |
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