The interactive effect of demographic and clinical factors on hippocampal volume: A multicohort study on 1958 cognitively normal individuals
Alzheimer's disease is characterized by hippocampal atrophy. Other factors also influence the hippocampal volume, but their interactive effect has not been investigated before in cognitively healthy individuals. The aim of this study is to evaluate the interactive effect of key demographic and...
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| Veröffentlicht in: | Hippocampus 2017-06, Vol.27 (6), p.653-667 |
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| creator | Ferreira, Daniel Hansson, Oskar Barroso, José Molina, Yaiza Machado, Alejandra Hernández‐Cabrera, Juan Andrés Muehlboeck, J‐Sebastian Stomrud, Erik Nägga, Katarina Lindberg, Olof Ames, David Kalpouzos, Grégoria Fratiglioni, Laura Bäckman, Lars Graff, Caroline Mecocci, Patrizia Vellas, Bruno Tsolaki, Magda Kłoszewska, Iwona Soininen, Hilkka Lovestone, Simon Ahlström, Håkan Lind, Lars Larsson, Elna‐Marie Wahlund, Lars‐Olof Simmons, Andrew Westman, Eric |
| description | Alzheimer's disease is characterized by hippocampal atrophy. Other factors also influence the hippocampal volume, but their interactive effect has not been investigated before in cognitively healthy individuals. The aim of this study is to evaluate the interactive effect of key demographic and clinical factors on hippocampal volume, in contrast to previous studies frequently investigating these factors in a separate manner. Also, to investigate how comparable the control groups from ADNI, AIBL, and AddNeuroMed are with five population‐based cohorts. In this study, 1958 participants were included (100 AddNeuroMed, 226 ADNI, 155 AIBL, 59 BRC, 295 GENIC, 279 BioFiNDER, 398 PIVUS, and 446 SNAC‐K). ANOVA and random forest were used for testing between‐cohort differences in demographic‐clinical variables. Multiple regression was used to study the influence of demographic‐clinical variables on hippocampal volume. ANCOVA was used to analyze whether between‐cohort differences in demographic‐clinical variables explained between‐cohort differences in hippocampal volume. Age and global brain atrophy were the most important variables in explaining variability in hippocampal volume. These variables were not only important themselves but also in interaction with gender, education, MMSE, and total intracranial volume. AddNeuroMed, ADNI, and AIBL differed from the population‐based cohorts in several demographic‐clinical variables that had a significant effect on hippocampal volume. Variability in hippocampal volume in individuals with normal cognition is high. Differences that previously tended to be related to disease mechanisms could also be partly explained by demographic and clinical factors independent from the disease. Furthermore, cognitively normal individuals especially from ADNI and AIBL are not representative of the general population. These findings may have important implications for future research and clinical trials, translating imaging biomarkers to the general population, and validating current diagnostic criteria for Alzheimer's disease and predementia stages. |
| doi_str_mv | 10.1002/hipo.22721 |
| format | Article |
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Other factors also influence the hippocampal volume, but their interactive effect has not been investigated before in cognitively healthy individuals. The aim of this study is to evaluate the interactive effect of key demographic and clinical factors on hippocampal volume, in contrast to previous studies frequently investigating these factors in a separate manner. Also, to investigate how comparable the control groups from ADNI, AIBL, and AddNeuroMed are with five population‐based cohorts. In this study, 1958 participants were included (100 AddNeuroMed, 226 ADNI, 155 AIBL, 59 BRC, 295 GENIC, 279 BioFiNDER, 398 PIVUS, and 446 SNAC‐K). ANOVA and random forest were used for testing between‐cohort differences in demographic‐clinical variables. Multiple regression was used to study the influence of demographic‐clinical variables on hippocampal volume. ANCOVA was used to analyze whether between‐cohort differences in demographic‐clinical variables explained between‐cohort differences in hippocampal volume. Age and global brain atrophy were the most important variables in explaining variability in hippocampal volume. These variables were not only important themselves but also in interaction with gender, education, MMSE, and total intracranial volume. AddNeuroMed, ADNI, and AIBL differed from the population‐based cohorts in several demographic‐clinical variables that had a significant effect on hippocampal volume. Variability in hippocampal volume in individuals with normal cognition is high. Differences that previously tended to be related to disease mechanisms could also be partly explained by demographic and clinical factors independent from the disease. Furthermore, cognitively normal individuals especially from ADNI and AIBL are not representative of the general population. These findings may have important implications for future research and clinical trials, translating imaging biomarkers to the general population, and validating current diagnostic criteria for Alzheimer's disease and predementia stages.</description><identifier>ISSN: 1050-9631</identifier><identifier>ISSN: 1098-1063</identifier><identifier>EISSN: 1098-1063</identifier><identifier>DOI: 10.1002/hipo.22721</identifier><identifier>PMID: 28394034</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Aging ; Alzheimer's disease ; Amnesia ; Atrophy ; Clinical Medicine ; Clinical trials ; Cognition ; Cohort Studies ; Hippocampal volume ; Hippocampus ; Hippocampus - anatomy & histology ; Humans ; Klinisk medicin ; Magnetic resonance imaging ; Medical and Health Sciences ; Medicin och hälsovetenskap ; Multicohort ; Neurodegenerative diseases ; Neuroimaging ; Neurologi ; Neurology ; Organ Size ; Population ; Studies</subject><ispartof>Hippocampus, 2017-06, Vol.27 (6), p.653-667</ispartof><rights>2017 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6241-e7afddf3bace6b481515a5a4798f159a3fb66bbced703d1965119857f550756b3</citedby><cites>FETCH-LOGICAL-c6241-e7afddf3bace6b481515a5a4798f159a3fb66bbced703d1965119857f550756b3</cites><orcidid>0000-0001-9522-4338</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhipo.22721$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhipo.22721$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,552,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28394034$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-145247$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-319936$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttps://lup.lub.lu.se/record/1f8e791b-f0f6-4277-9f48-d7a1bd6d8c18$$DView record from Swedish Publication Index$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:136072517$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Ferreira, Daniel</creatorcontrib><creatorcontrib>Hansson, Oskar</creatorcontrib><creatorcontrib>Barroso, José</creatorcontrib><creatorcontrib>Molina, Yaiza</creatorcontrib><creatorcontrib>Machado, Alejandra</creatorcontrib><creatorcontrib>Hernández‐Cabrera, Juan Andrés</creatorcontrib><creatorcontrib>Muehlboeck, J‐Sebastian</creatorcontrib><creatorcontrib>Stomrud, Erik</creatorcontrib><creatorcontrib>Nägga, Katarina</creatorcontrib><creatorcontrib>Lindberg, Olof</creatorcontrib><creatorcontrib>Ames, David</creatorcontrib><creatorcontrib>Kalpouzos, Grégoria</creatorcontrib><creatorcontrib>Fratiglioni, Laura</creatorcontrib><creatorcontrib>Bäckman, Lars</creatorcontrib><creatorcontrib>Graff, Caroline</creatorcontrib><creatorcontrib>Mecocci, Patrizia</creatorcontrib><creatorcontrib>Vellas, Bruno</creatorcontrib><creatorcontrib>Tsolaki, Magda</creatorcontrib><creatorcontrib>Kłoszewska, Iwona</creatorcontrib><creatorcontrib>Soininen, Hilkka</creatorcontrib><creatorcontrib>Lovestone, Simon</creatorcontrib><creatorcontrib>Ahlström, Håkan</creatorcontrib><creatorcontrib>Lind, Lars</creatorcontrib><creatorcontrib>Larsson, Elna‐Marie</creatorcontrib><creatorcontrib>Wahlund, Lars‐Olof</creatorcontrib><creatorcontrib>Simmons, Andrew</creatorcontrib><creatorcontrib>Westman, Eric</creatorcontrib><creatorcontrib>and for the AddNeuroMed consortium, for the Alzheimer's Disease Neuroimaging Initiative (ADNI)</creatorcontrib><creatorcontrib>Australian Imaging Biomarkers and Lifestyle Study of Ageing (AIBL) research group</creatorcontrib><creatorcontrib>and for the AddNeuroMed consortium, for the Alzheimer's Disease Neuroimaging Initiative (ADNI)</creatorcontrib><creatorcontrib>for the Australian Imaging Biomarkers and Lifestyle Study of Ageing (AIBL) research group</creatorcontrib><title>The interactive effect of demographic and clinical factors on hippocampal volume: A multicohort study on 1958 cognitively normal individuals</title><title>Hippocampus</title><addtitle>Hippocampus</addtitle><description>Alzheimer's disease is characterized by hippocampal atrophy. Other factors also influence the hippocampal volume, but their interactive effect has not been investigated before in cognitively healthy individuals. The aim of this study is to evaluate the interactive effect of key demographic and clinical factors on hippocampal volume, in contrast to previous studies frequently investigating these factors in a separate manner. Also, to investigate how comparable the control groups from ADNI, AIBL, and AddNeuroMed are with five population‐based cohorts. In this study, 1958 participants were included (100 AddNeuroMed, 226 ADNI, 155 AIBL, 59 BRC, 295 GENIC, 279 BioFiNDER, 398 PIVUS, and 446 SNAC‐K). ANOVA and random forest were used for testing between‐cohort differences in demographic‐clinical variables. Multiple regression was used to study the influence of demographic‐clinical variables on hippocampal volume. ANCOVA was used to analyze whether between‐cohort differences in demographic‐clinical variables explained between‐cohort differences in hippocampal volume. Age and global brain atrophy were the most important variables in explaining variability in hippocampal volume. These variables were not only important themselves but also in interaction with gender, education, MMSE, and total intracranial volume. AddNeuroMed, ADNI, and AIBL differed from the population‐based cohorts in several demographic‐clinical variables that had a significant effect on hippocampal volume. Variability in hippocampal volume in individuals with normal cognition is high. Differences that previously tended to be related to disease mechanisms could also be partly explained by demographic and clinical factors independent from the disease. Furthermore, cognitively normal individuals especially from ADNI and AIBL are not representative of the general population. These findings may have important implications for future research and clinical trials, translating imaging biomarkers to the general population, and validating current diagnostic criteria for Alzheimer's disease and predementia stages.</description><subject>Aging</subject><subject>Alzheimer's disease</subject><subject>Amnesia</subject><subject>Atrophy</subject><subject>Clinical Medicine</subject><subject>Clinical trials</subject><subject>Cognition</subject><subject>Cohort Studies</subject><subject>Hippocampal volume</subject><subject>Hippocampus</subject><subject>Hippocampus - anatomy & histology</subject><subject>Humans</subject><subject>Klinisk medicin</subject><subject>Magnetic resonance imaging</subject><subject>Medical and Health Sciences</subject><subject>Medicin och hälsovetenskap</subject><subject>Multicohort</subject><subject>Neurodegenerative diseases</subject><subject>Neuroimaging</subject><subject>Neurologi</subject><subject>Neurology</subject><subject>Organ Size</subject><subject>Population</subject><subject>Studies</subject><issn>1050-9631</issn><issn>1098-1063</issn><issn>1098-1063</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>D8T</sourceid><recordid>eNqNkk1v1DAQhiMEoqVw4QcgS1wQYosnju2Y26p8tNJK5VC4Wo4_dl2SODjxVvsf-NE43W2RkIo4jGY0et53xvIUxUvAp4Bx-X7jh3BalryER8UxYFEvADPyeK4pXghG4Kh4No7XGANQjJ8WR2VNRIVJdVz8utpY5PvJRqUnv7XIOmf1hIJDxnZhHdWw8Rqp3iDd-t5r1SKX0RBHFHqURw9Bq27I7W1oU2c_oCXqUjt5HTYhTmicktnNKAhaIx3WvZ_ntDvUh9hlme-N33qTVDs-L564nOyLQz4pvn3-dHV2vlhdfrk4W64WmpUVLCxXzhhHGqUta6oaKFBFVcVF7YAKRVzDWNNoazgmBgSjAKKm3FGKOWUNOSkWe9_xxg6pkUP0nYo7GZSXh9aPXFlZCc54mXnxID_EYP6I7oRAGOYlBZ61qwe1bRpyNDluNa62XEAjHXZMViXnUriqloYraAwztYY627170O6j_76UIa5lSpKAEIT9Hz4mCRUtq3nZN3s8v-pnsuMkOz9q27aqtyGNEuqakYoApRl9_Rd6HVLs87dlKs-mnFeQqbd7SscwjtG6-w0Ay_l45Xy88vZ4M_zqYJmazpp79O5aMwB74Ma3dvcPK3l-8fVyb_obrNL8yQ</recordid><startdate>201706</startdate><enddate>201706</enddate><creator>Ferreira, Daniel</creator><creator>Hansson, Oskar</creator><creator>Barroso, José</creator><creator>Molina, Yaiza</creator><creator>Machado, Alejandra</creator><creator>Hernández‐Cabrera, Juan Andrés</creator><creator>Muehlboeck, J‐Sebastian</creator><creator>Stomrud, Erik</creator><creator>Nägga, Katarina</creator><creator>Lindberg, Olof</creator><creator>Ames, David</creator><creator>Kalpouzos, Grégoria</creator><creator>Fratiglioni, Laura</creator><creator>Bäckman, Lars</creator><creator>Graff, Caroline</creator><creator>Mecocci, Patrizia</creator><creator>Vellas, Bruno</creator><creator>Tsolaki, Magda</creator><creator>Kłoszewska, Iwona</creator><creator>Soininen, Hilkka</creator><creator>Lovestone, Simon</creator><creator>Ahlström, Håkan</creator><creator>Lind, Lars</creator><creator>Larsson, Elna‐Marie</creator><creator>Wahlund, Lars‐Olof</creator><creator>Simmons, Andrew</creator><creator>Westman, Eric</creator><general>Wiley Subscription Services, 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>7QG</scope><scope>7TK</scope><scope>K9.</scope><scope>7X8</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>DG7</scope><scope>DF2</scope><scope>D95</scope><scope>D8T</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0001-9522-4338</orcidid></search><sort><creationdate>201706</creationdate><title>The interactive effect of demographic and clinical factors on hippocampal volume: A multicohort study on 1958 cognitively normal individuals</title><author>Ferreira, Daniel ; Hansson, Oskar ; Barroso, José ; Molina, Yaiza ; Machado, Alejandra ; Hernández‐Cabrera, Juan Andrés ; Muehlboeck, J‐Sebastian ; Stomrud, Erik ; Nägga, Katarina ; Lindberg, Olof ; Ames, David ; Kalpouzos, Grégoria ; Fratiglioni, Laura ; Bäckman, Lars ; Graff, Caroline ; Mecocci, Patrizia ; Vellas, Bruno ; Tsolaki, Magda ; Kłoszewska, Iwona ; Soininen, Hilkka ; Lovestone, Simon ; Ahlström, Håkan ; Lind, Lars ; Larsson, Elna‐Marie ; Wahlund, Lars‐Olof ; Simmons, Andrew ; Westman, Eric</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6241-e7afddf3bace6b481515a5a4798f159a3fb66bbced703d1965119857f550756b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aging</topic><topic>Alzheimer's disease</topic><topic>Amnesia</topic><topic>Atrophy</topic><topic>Clinical Medicine</topic><topic>Clinical trials</topic><topic>Cognition</topic><topic>Cohort Studies</topic><topic>Hippocampal volume</topic><topic>Hippocampus</topic><topic>Hippocampus - 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Other factors also influence the hippocampal volume, but their interactive effect has not been investigated before in cognitively healthy individuals. The aim of this study is to evaluate the interactive effect of key demographic and clinical factors on hippocampal volume, in contrast to previous studies frequently investigating these factors in a separate manner. Also, to investigate how comparable the control groups from ADNI, AIBL, and AddNeuroMed are with five population‐based cohorts. In this study, 1958 participants were included (100 AddNeuroMed, 226 ADNI, 155 AIBL, 59 BRC, 295 GENIC, 279 BioFiNDER, 398 PIVUS, and 446 SNAC‐K). ANOVA and random forest were used for testing between‐cohort differences in demographic‐clinical variables. Multiple regression was used to study the influence of demographic‐clinical variables on hippocampal volume. ANCOVA was used to analyze whether between‐cohort differences in demographic‐clinical variables explained between‐cohort differences in hippocampal volume. Age and global brain atrophy were the most important variables in explaining variability in hippocampal volume. These variables were not only important themselves but also in interaction with gender, education, MMSE, and total intracranial volume. AddNeuroMed, ADNI, and AIBL differed from the population‐based cohorts in several demographic‐clinical variables that had a significant effect on hippocampal volume. Variability in hippocampal volume in individuals with normal cognition is high. Differences that previously tended to be related to disease mechanisms could also be partly explained by demographic and clinical factors independent from the disease. Furthermore, cognitively normal individuals especially from ADNI and AIBL are not representative of the general population. These findings may have important implications for future research and clinical trials, translating imaging biomarkers to the general population, and validating current diagnostic criteria for Alzheimer's disease and predementia stages.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>28394034</pmid><doi>10.1002/hipo.22721</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-9522-4338</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Hippocampus, 2017-06, Vol.27 (6), p.653-667 |
| issn | 1050-9631 1098-1063 1098-1063 |
| language | eng |
| recordid | cdi_swepub_primary_oai_swepub_ki_se_497672 |
| source | MEDLINE; SWEPUB Freely available online; Access via Wiley Online Library |
| subjects | Aging Alzheimer's disease Amnesia Atrophy Clinical Medicine Clinical trials Cognition Cohort Studies Hippocampal volume Hippocampus Hippocampus - anatomy & histology Humans Klinisk medicin Magnetic resonance imaging Medical and Health Sciences Medicin och hälsovetenskap Multicohort Neurodegenerative diseases Neuroimaging Neurologi Neurology Organ Size Population Studies |
| title | The interactive effect of demographic and clinical factors on hippocampal volume: A multicohort study on 1958 cognitively normal individuals |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T06%3A06%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_swepu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20interactive%20effect%20of%20demographic%20and%20clinical%20factors%20on%20hippocampal%20volume:%20A%20multicohort%20study%20on%201958%20cognitively%20normal%20individuals&rft.jtitle=Hippocampus&rft.au=Ferreira,%20Daniel&rft.aucorp=and%20for%20the%20AddNeuroMed%20consortium,%20for%20the%20Alzheimer's%20Disease%20Neuroimaging%20Initiative%20(ADNI)&rft.date=2017-06&rft.volume=27&rft.issue=6&rft.spage=653&rft.epage=667&rft.pages=653-667&rft.issn=1050-9631&rft.eissn=1098-1063&rft_id=info:doi/10.1002/hipo.22721&rft_dat=%3Cproquest_swepu%3E1886343155%3C/proquest_swepu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1899357741&rft_id=info:pmid/28394034&rfr_iscdi=true |