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Lifespan normative data on rates of brain volume changes
We provide here normative values of yearly percentage brain volume change (PBVC/y) as obtained with Structural Imaging Evaluation, using Normalization, of Atrophy, a widely used open-source software, developing a PBVC/y calculator for assessing the deviation from the expected PBVC/y in patients with...
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| Published in: | Neurobiology of aging 2019-09, Vol.81, p.30-37 |
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| creator | Battaglini, Marco Gentile, Giordano Luchetti, Ludovico Giorgio, Antonio Vrenken, Hugo Barkhof, Frederik Cover, Keith S. Bakshi, Rohit Chu, Renxin Sormani, Maria Pia Enzinger, Christian Ropele, Stefan Ciccarelli, Olga Wheeler-Kingshott, Claudia Yiannakas, Marios Filippi, Massimo Rocca, Maria Assunta Preziosa, Paolo Gallo, Antonio Bisecco, Alvino Palace, Jacqueline Kong, Yazhuo Horakova, Dana Vaneckova, Manuela Gasperini, Claudio Ruggieri, Serena De Stefano, Nicola |
| description | We provide here normative values of yearly percentage brain volume change (PBVC/y) as obtained with Structural Imaging Evaluation, using Normalization, of Atrophy, a widely used open-source software, developing a PBVC/y calculator for assessing the deviation from the expected PBVC/y in patients with neurological disorders. We assessed multicenter (34 centers, 11 acquisition protocols) magnetic resonance imaging data of 720 healthy participants covering the whole adult lifespan (16–90 years). Data of 421 participants with a follow-up > 6 months were used to obtain the normative values for PBVC/y and data of 392 participants with a follow-up |
| doi_str_mv | 10.1016/j.neurobiolaging.2019.05.010 |
| format | article |
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•Normative values of brain volume changes over the lifespan are produced.•Yearly percentage of brain volume changes in old subjects was twice as higher than in young subjects.•Yearly percentage of brain volume changes depends on the magnetic field strength.•Normative percentiles are narrower as the interscan interval is longer.•Online freely available calculator for normative brain volume changes is provided.</description><identifier>ISSN: 0197-4580</identifier><identifier>EISSN: 1558-1497</identifier><identifier>DOI: 10.1016/j.neurobiolaging.2019.05.010</identifier><identifier>PMID: 31207467</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Aging ; Aging - pathology ; Atrophy ; Brain - diagnostic imaging ; Brain - pathology ; Brain volume ; Diffusion Magnetic Resonance Imaging ; Female ; Humans ; Imaging, Three-Dimensional ; Longevity ; Male ; Middle Aged ; MRI ; Multicenter Studies as Topic ; Normative data ; Organ Size ; Retrospective Studies ; Young Adult</subject><ispartof>Neurobiology of aging, 2019-09, Vol.81, p.30-37</ispartof><rights>2019</rights><rights>Copyright © 2019. Published by Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c440t-f9ac9fee8d702c8e8a939f041410e907fba2d4bd8e282ac915747234c706a3513</citedby><cites>FETCH-LOGICAL-c440t-f9ac9fee8d702c8e8a939f041410e907fba2d4bd8e282ac915747234c706a3513</cites><orcidid>0000-0002-5485-0479 ; 0000-0001-9106-1172 ; 0000-0003-2358-4320 ; 0000-0002-7826-0019 ; 0000-0001-8601-5534</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31207467$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Battaglini, Marco</creatorcontrib><creatorcontrib>Gentile, Giordano</creatorcontrib><creatorcontrib>Luchetti, Ludovico</creatorcontrib><creatorcontrib>Giorgio, Antonio</creatorcontrib><creatorcontrib>Vrenken, Hugo</creatorcontrib><creatorcontrib>Barkhof, Frederik</creatorcontrib><creatorcontrib>Cover, Keith S.</creatorcontrib><creatorcontrib>Bakshi, Rohit</creatorcontrib><creatorcontrib>Chu, Renxin</creatorcontrib><creatorcontrib>Sormani, Maria Pia</creatorcontrib><creatorcontrib>Enzinger, Christian</creatorcontrib><creatorcontrib>Ropele, Stefan</creatorcontrib><creatorcontrib>Ciccarelli, Olga</creatorcontrib><creatorcontrib>Wheeler-Kingshott, Claudia</creatorcontrib><creatorcontrib>Yiannakas, Marios</creatorcontrib><creatorcontrib>Filippi, Massimo</creatorcontrib><creatorcontrib>Rocca, Maria Assunta</creatorcontrib><creatorcontrib>Preziosa, Paolo</creatorcontrib><creatorcontrib>Gallo, Antonio</creatorcontrib><creatorcontrib>Bisecco, Alvino</creatorcontrib><creatorcontrib>Palace, Jacqueline</creatorcontrib><creatorcontrib>Kong, Yazhuo</creatorcontrib><creatorcontrib>Horakova, Dana</creatorcontrib><creatorcontrib>Vaneckova, Manuela</creatorcontrib><creatorcontrib>Gasperini, Claudio</creatorcontrib><creatorcontrib>Ruggieri, Serena</creatorcontrib><creatorcontrib>De Stefano, Nicola</creatorcontrib><creatorcontrib>MAGNIMS Study Group</creatorcontrib><title>Lifespan normative data on rates of brain volume changes</title><title>Neurobiology of aging</title><addtitle>Neurobiol Aging</addtitle><description>We provide here normative values of yearly percentage brain volume change (PBVC/y) as obtained with Structural Imaging Evaluation, using Normalization, of Atrophy, a widely used open-source software, developing a PBVC/y calculator for assessing the deviation from the expected PBVC/y in patients with neurological disorders. We assessed multicenter (34 centers, 11 acquisition protocols) magnetic resonance imaging data of 720 healthy participants covering the whole adult lifespan (16–90 years). Data of 421 participants with a follow-up > 6 months were used to obtain the normative values for PBVC/y and data of 392 participants with a follow-up <1 month were selected to assess the intrasubject variability of the brain volume measurement. A mixed model evaluated PBVC/y dependence on age, sex, and magnetic resonance imaging parameters (scan vendor and magnetic field strength). PBVC/y was associated with age (p < 0.001), with 60- to 70-year-old participants showing twice more volume decrease than participants aged 30–40 years. PBVC/y was also associated with magnetic field strength, with higher decreases when measured by 1.5T than 3T scanners (p < 0.001). The variability of PBVC/y normative percentiles was narrower as the interscan interval was longer (e.g., 80th normative percentile was 50% smaller for participants with 2-year than with 1-year follow-up). The use of these normative data, eased by the freely available calculator, might help in better discriminating pathological from physiological conditions in the clinical setting.
•Normative values of brain volume changes over the lifespan are produced.•Yearly percentage of brain volume changes in old subjects was twice as higher than in young subjects.•Yearly percentage of brain volume changes depends on the magnetic field strength.•Normative percentiles are narrower as the interscan interval is longer.•Online freely available calculator for normative brain volume changes is provided.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aging</subject><subject>Aging - pathology</subject><subject>Atrophy</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - pathology</subject><subject>Brain volume</subject><subject>Diffusion Magnetic Resonance Imaging</subject><subject>Female</subject><subject>Humans</subject><subject>Imaging, Three-Dimensional</subject><subject>Longevity</subject><subject>Male</subject><subject>Middle Aged</subject><subject>MRI</subject><subject>Multicenter Studies as Topic</subject><subject>Normative data</subject><subject>Organ Size</subject><subject>Retrospective Studies</subject><subject>Young Adult</subject><issn>0197-4580</issn><issn>1558-1497</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNqNkEtLxDAQgIMouj7-gvTgwUvrJE2bFLyI-IIFL3oOaTpds7TJmrQL_nsjq4I3TzMw37w-Qi4oFBRofbUuHM7Bt9YPemXdqmBAmwKqAijskQWtKplT3oh9skgFkfNKwhE5jnENAIKL-pAclZSltBYLIpe2x7jRLnM-jHqyW8w6PenMuyzoCWPm-6wN2rps64d5xMy8abfCeEoOej1EPPuOJ-T1_u7l9jFfPj883d4sc8M5THnfaNP0iLITwIxEqZuy6YFTTgEbEH2rWcfbTiKTLKG0SieykhsBtS4rWp6Qy93cTfDvM8ZJjTYaHAbt0M9RMcaZpEJWdUKvd6gJPsaAvdoEO-rwoSioL3dqrf66U1_uFFQquUvt59-b5nbE7rf5R1YC7ncApn-3FoOKxqIz2NmAZlKdt__b9AksGIgF</recordid><startdate>201909</startdate><enddate>201909</enddate><creator>Battaglini, Marco</creator><creator>Gentile, Giordano</creator><creator>Luchetti, Ludovico</creator><creator>Giorgio, Antonio</creator><creator>Vrenken, Hugo</creator><creator>Barkhof, Frederik</creator><creator>Cover, Keith S.</creator><creator>Bakshi, Rohit</creator><creator>Chu, Renxin</creator><creator>Sormani, Maria Pia</creator><creator>Enzinger, Christian</creator><creator>Ropele, Stefan</creator><creator>Ciccarelli, Olga</creator><creator>Wheeler-Kingshott, Claudia</creator><creator>Yiannakas, Marios</creator><creator>Filippi, Massimo</creator><creator>Rocca, Maria Assunta</creator><creator>Preziosa, Paolo</creator><creator>Gallo, Antonio</creator><creator>Bisecco, Alvino</creator><creator>Palace, Jacqueline</creator><creator>Kong, Yazhuo</creator><creator>Horakova, Dana</creator><creator>Vaneckova, Manuela</creator><creator>Gasperini, Claudio</creator><creator>Ruggieri, Serena</creator><creator>De Stefano, Nicola</creator><general>Elsevier Inc</general><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><orcidid>https://orcid.org/0000-0002-5485-0479</orcidid><orcidid>https://orcid.org/0000-0001-9106-1172</orcidid><orcidid>https://orcid.org/0000-0003-2358-4320</orcidid><orcidid>https://orcid.org/0000-0002-7826-0019</orcidid><orcidid>https://orcid.org/0000-0001-8601-5534</orcidid></search><sort><creationdate>201909</creationdate><title>Lifespan normative data on rates of brain volume changes</title><author>Battaglini, Marco ; Gentile, Giordano ; Luchetti, Ludovico ; Giorgio, Antonio ; Vrenken, Hugo ; Barkhof, Frederik ; Cover, Keith S. ; Bakshi, Rohit ; Chu, Renxin ; Sormani, Maria Pia ; Enzinger, Christian ; Ropele, Stefan ; Ciccarelli, Olga ; Wheeler-Kingshott, Claudia ; Yiannakas, Marios ; Filippi, Massimo ; Rocca, Maria Assunta ; Preziosa, Paolo ; Gallo, Antonio ; Bisecco, Alvino ; Palace, Jacqueline ; Kong, Yazhuo ; Horakova, Dana ; Vaneckova, Manuela ; Gasperini, Claudio ; Ruggieri, Serena ; De Stefano, Nicola</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c440t-f9ac9fee8d702c8e8a939f041410e907fba2d4bd8e282ac915747234c706a3513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aging</topic><topic>Aging - pathology</topic><topic>Atrophy</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - pathology</topic><topic>Brain volume</topic><topic>Diffusion Magnetic Resonance Imaging</topic><topic>Female</topic><topic>Humans</topic><topic>Imaging, Three-Dimensional</topic><topic>Longevity</topic><topic>Male</topic><topic>Middle Aged</topic><topic>MRI</topic><topic>Multicenter Studies as Topic</topic><topic>Normative data</topic><topic>Organ Size</topic><topic>Retrospective Studies</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Battaglini, Marco</creatorcontrib><creatorcontrib>Gentile, Giordano</creatorcontrib><creatorcontrib>Luchetti, Ludovico</creatorcontrib><creatorcontrib>Giorgio, Antonio</creatorcontrib><creatorcontrib>Vrenken, Hugo</creatorcontrib><creatorcontrib>Barkhof, Frederik</creatorcontrib><creatorcontrib>Cover, Keith S.</creatorcontrib><creatorcontrib>Bakshi, Rohit</creatorcontrib><creatorcontrib>Chu, Renxin</creatorcontrib><creatorcontrib>Sormani, Maria Pia</creatorcontrib><creatorcontrib>Enzinger, Christian</creatorcontrib><creatorcontrib>Ropele, Stefan</creatorcontrib><creatorcontrib>Ciccarelli, Olga</creatorcontrib><creatorcontrib>Wheeler-Kingshott, Claudia</creatorcontrib><creatorcontrib>Yiannakas, Marios</creatorcontrib><creatorcontrib>Filippi, Massimo</creatorcontrib><creatorcontrib>Rocca, Maria Assunta</creatorcontrib><creatorcontrib>Preziosa, Paolo</creatorcontrib><creatorcontrib>Gallo, Antonio</creatorcontrib><creatorcontrib>Bisecco, Alvino</creatorcontrib><creatorcontrib>Palace, Jacqueline</creatorcontrib><creatorcontrib>Kong, Yazhuo</creatorcontrib><creatorcontrib>Horakova, Dana</creatorcontrib><creatorcontrib>Vaneckova, Manuela</creatorcontrib><creatorcontrib>Gasperini, Claudio</creatorcontrib><creatorcontrib>Ruggieri, Serena</creatorcontrib><creatorcontrib>De Stefano, Nicola</creatorcontrib><creatorcontrib>MAGNIMS Study Group</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Neurobiology of aging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Battaglini, Marco</au><au>Gentile, Giordano</au><au>Luchetti, Ludovico</au><au>Giorgio, Antonio</au><au>Vrenken, Hugo</au><au>Barkhof, Frederik</au><au>Cover, Keith S.</au><au>Bakshi, Rohit</au><au>Chu, Renxin</au><au>Sormani, Maria Pia</au><au>Enzinger, Christian</au><au>Ropele, Stefan</au><au>Ciccarelli, Olga</au><au>Wheeler-Kingshott, Claudia</au><au>Yiannakas, Marios</au><au>Filippi, Massimo</au><au>Rocca, Maria Assunta</au><au>Preziosa, Paolo</au><au>Gallo, Antonio</au><au>Bisecco, Alvino</au><au>Palace, Jacqueline</au><au>Kong, Yazhuo</au><au>Horakova, Dana</au><au>Vaneckova, Manuela</au><au>Gasperini, Claudio</au><au>Ruggieri, Serena</au><au>De Stefano, Nicola</au><aucorp>MAGNIMS Study Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lifespan normative data on rates of brain volume changes</atitle><jtitle>Neurobiology of aging</jtitle><addtitle>Neurobiol Aging</addtitle><date>2019-09</date><risdate>2019</risdate><volume>81</volume><spage>30</spage><epage>37</epage><pages>30-37</pages><issn>0197-4580</issn><eissn>1558-1497</eissn><abstract>We provide here normative values of yearly percentage brain volume change (PBVC/y) as obtained with Structural Imaging Evaluation, using Normalization, of Atrophy, a widely used open-source software, developing a PBVC/y calculator for assessing the deviation from the expected PBVC/y in patients with neurological disorders. We assessed multicenter (34 centers, 11 acquisition protocols) magnetic resonance imaging data of 720 healthy participants covering the whole adult lifespan (16–90 years). Data of 421 participants with a follow-up > 6 months were used to obtain the normative values for PBVC/y and data of 392 participants with a follow-up <1 month were selected to assess the intrasubject variability of the brain volume measurement. A mixed model evaluated PBVC/y dependence on age, sex, and magnetic resonance imaging parameters (scan vendor and magnetic field strength). PBVC/y was associated with age (p < 0.001), with 60- to 70-year-old participants showing twice more volume decrease than participants aged 30–40 years. PBVC/y was also associated with magnetic field strength, with higher decreases when measured by 1.5T than 3T scanners (p < 0.001). The variability of PBVC/y normative percentiles was narrower as the interscan interval was longer (e.g., 80th normative percentile was 50% smaller for participants with 2-year than with 1-year follow-up). The use of these normative data, eased by the freely available calculator, might help in better discriminating pathological from physiological conditions in the clinical setting.
•Normative values of brain volume changes over the lifespan are produced.•Yearly percentage of brain volume changes in old subjects was twice as higher than in young subjects.•Yearly percentage of brain volume changes depends on the magnetic field strength.•Normative percentiles are narrower as the interscan interval is longer.•Online freely available calculator for normative brain volume changes is provided.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>31207467</pmid><doi>10.1016/j.neurobiolaging.2019.05.010</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0002-5485-0479</orcidid><orcidid>https://orcid.org/0000-0001-9106-1172</orcidid><orcidid>https://orcid.org/0000-0003-2358-4320</orcidid><orcidid>https://orcid.org/0000-0002-7826-0019</orcidid><orcidid>https://orcid.org/0000-0001-8601-5534</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Neurobiology of aging, 2019-09, Vol.81, p.30-37 |
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| subjects | Adolescent Adult Aged Aged, 80 and over Aging Aging - pathology Atrophy Brain - diagnostic imaging Brain - pathology Brain volume Diffusion Magnetic Resonance Imaging Female Humans Imaging, Three-Dimensional Longevity Male Middle Aged MRI Multicenter Studies as Topic Normative data Organ Size Retrospective Studies Young Adult |
| title | Lifespan normative data on rates of brain volume changes |
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