Long-term prognosis and educational determinants of brain network decline in older adult individuals
Older adults with lower education are at greater risk for dementia. It is unclear which brain changes lead to these outcomes. Longitudinal imaging-based measures of brain structure and function were examined in adult individuals (baseline age, 45-86 years; two to five visits per participant over 1-9...
Gespeichert in:
| Veröffentlicht in: | Nature aging 2021-11, Vol.1 (11), p.1053-1067 |
|---|---|
| Hauptverfasser: | , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1067 |
|---|---|
| container_issue | 11 |
| container_start_page | 1053 |
| container_title | Nature aging |
| container_volume | 1 |
| creator | Chan, Micaela Y Han, Liang Carreno, Claudia A Zhang, Ziwei Rodriguez, Rebekah M LaRose, Megan Hassenstab, Jason Wig, Gagan S |
| description | Older adults with lower education are at greater risk for dementia. It is unclear which brain changes lead to these outcomes. Longitudinal imaging-based measures of brain structure and function were examined in adult individuals (baseline age, 45-86 years; two to five visits per participant over 1-9 years). College degree completion differentiates individual-based and neighborhood-based measures of socioeconomic status and disadvantage. Older adults (~65 years and over) without a college degree exhibit a pattern of declining large-scale functional brain network organization (resting-state system segregation) that is less evident in their college-educated peers. Declining brain system segregation predicts impending changes in dementia severity, measured up to 10 years past the last scan date. The prognostic value of brain network change is independent of Alzheimer's disease (AD)-related genetic risk (
status), the presence of AD-associated pathology (cerebrospinal fluid phosphorylated tau, cortical amyloid) and cortical thinning. These results demonstrate that the trajectory of an individual's brain network organization varies in relation to their educational attainment and, more broadly, is a unique indicator of individual brain health during older age. |
| doi_str_mv | 10.1038/s43587-021-00125-4 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8979545</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2647657170</sourcerecordid><originalsourceid>FETCH-LOGICAL-c430t-d42bc6a0dd5ad4b64f1583278a0a2c4af82f203437338f2f3ce2bedcf14b023c3</originalsourceid><addsrcrecordid>eNpdkctuFDEQRS0EIlHID7BAltiw6VAuP9qzQUJReEgjsYG15fZjcOixB7s7EX-Pw4QosCrb99aVqw4hLxlcMOD6bRNc6nEAZAMAQzmIJ-QUlcJBCyWfPjqfkPPWrgEAJeOg8Dk54ZJrRLk5JX5b8m5YQt3TQy27XFpq1GZPg1-dXVLJdqY-3BlStnlptEQ6VZsyzWG5LfVHV92ccqD9qcw-VGr9Oi_96tNN8qud2wvyLPYSzu_rGfn24err5adh--Xj58v328EJDsvgBU5OWfBeWi8mJSKTmuOoLVh0wkaNEYELPnKuI0buAk7Bu8jEBMgdPyPvjrmHddp3IeSl2tkcatrb-ssUm8y_Sk7fza7cGL0ZN1LIHvDmPqCWn2toi9mn5sI82xzK2gwqMSo5shG69fV_1uuy1r6tZjgDBCHURnUXHl2ultZqiA-fYWDuOJojR9M5mj8cjehNrx6P8dDylxr_DRCzmtM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3102044696</pqid></control><display><type>article</type><title>Long-term prognosis and educational determinants of brain network decline in older adult individuals</title><source>MEDLINE</source><source>Springer Nature - Complete Springer Journals</source><creator>Chan, Micaela Y ; Han, Liang ; Carreno, Claudia A ; Zhang, Ziwei ; Rodriguez, Rebekah M ; LaRose, Megan ; Hassenstab, Jason ; Wig, Gagan S</creator><creatorcontrib>Chan, Micaela Y ; Han, Liang ; Carreno, Claudia A ; Zhang, Ziwei ; Rodriguez, Rebekah M ; LaRose, Megan ; Hassenstab, Jason ; Wig, Gagan S</creatorcontrib><description>Older adults with lower education are at greater risk for dementia. It is unclear which brain changes lead to these outcomes. Longitudinal imaging-based measures of brain structure and function were examined in adult individuals (baseline age, 45-86 years; two to five visits per participant over 1-9 years). College degree completion differentiates individual-based and neighborhood-based measures of socioeconomic status and disadvantage. Older adults (~65 years and over) without a college degree exhibit a pattern of declining large-scale functional brain network organization (resting-state system segregation) that is less evident in their college-educated peers. Declining brain system segregation predicts impending changes in dementia severity, measured up to 10 years past the last scan date. The prognostic value of brain network change is independent of Alzheimer's disease (AD)-related genetic risk (
status), the presence of AD-associated pathology (cerebrospinal fluid phosphorylated tau, cortical amyloid) and cortical thinning. These results demonstrate that the trajectory of an individual's brain network organization varies in relation to their educational attainment and, more broadly, is a unique indicator of individual brain health during older age.</description><identifier>ISSN: 2662-8465</identifier><identifier>EISSN: 2662-8465</identifier><identifier>DOI: 10.1038/s43587-021-00125-4</identifier><identifier>PMID: 35382259</identifier><language>eng</language><publisher>United States: Nature Publishing Group</publisher><subject>Adults ; Aged ; Aged, 80 and over ; Alzheimer Disease - diagnosis ; Amyloid beta-Peptides - cerebrospinal fluid ; Biomarkers - cerebrospinal fluid ; Brain - diagnostic imaging ; Dementia ; Educational Status ; Health risk assessment ; Humans ; Middle Aged ; Older people ; Prognosis ; Segregation ; tau Proteins - cerebrospinal fluid</subject><ispartof>Nature aging, 2021-11, Vol.1 (11), p.1053-1067</ispartof><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c430t-d42bc6a0dd5ad4b64f1583278a0a2c4af82f203437338f2f3ce2bedcf14b023c3</citedby><cites>FETCH-LOGICAL-c430t-d42bc6a0dd5ad4b64f1583278a0a2c4af82f203437338f2f3ce2bedcf14b023c3</cites><orcidid>0000-0002-6432-5192</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,777,781,882,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35382259$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chan, Micaela Y</creatorcontrib><creatorcontrib>Han, Liang</creatorcontrib><creatorcontrib>Carreno, Claudia A</creatorcontrib><creatorcontrib>Zhang, Ziwei</creatorcontrib><creatorcontrib>Rodriguez, Rebekah M</creatorcontrib><creatorcontrib>LaRose, Megan</creatorcontrib><creatorcontrib>Hassenstab, Jason</creatorcontrib><creatorcontrib>Wig, Gagan S</creatorcontrib><title>Long-term prognosis and educational determinants of brain network decline in older adult individuals</title><title>Nature aging</title><addtitle>Nat Aging</addtitle><description>Older adults with lower education are at greater risk for dementia. It is unclear which brain changes lead to these outcomes. Longitudinal imaging-based measures of brain structure and function were examined in adult individuals (baseline age, 45-86 years; two to five visits per participant over 1-9 years). College degree completion differentiates individual-based and neighborhood-based measures of socioeconomic status and disadvantage. Older adults (~65 years and over) without a college degree exhibit a pattern of declining large-scale functional brain network organization (resting-state system segregation) that is less evident in their college-educated peers. Declining brain system segregation predicts impending changes in dementia severity, measured up to 10 years past the last scan date. The prognostic value of brain network change is independent of Alzheimer's disease (AD)-related genetic risk (
status), the presence of AD-associated pathology (cerebrospinal fluid phosphorylated tau, cortical amyloid) and cortical thinning. These results demonstrate that the trajectory of an individual's brain network organization varies in relation to their educational attainment and, more broadly, is a unique indicator of individual brain health during older age.</description><subject>Adults</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alzheimer Disease - diagnosis</subject><subject>Amyloid beta-Peptides - cerebrospinal fluid</subject><subject>Biomarkers - cerebrospinal fluid</subject><subject>Brain - diagnostic imaging</subject><subject>Dementia</subject><subject>Educational Status</subject><subject>Health risk assessment</subject><subject>Humans</subject><subject>Middle Aged</subject><subject>Older people</subject><subject>Prognosis</subject><subject>Segregation</subject><subject>tau Proteins - cerebrospinal fluid</subject><issn>2662-8465</issn><issn>2662-8465</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNpdkctuFDEQRS0EIlHID7BAltiw6VAuP9qzQUJReEgjsYG15fZjcOixB7s7EX-Pw4QosCrb99aVqw4hLxlcMOD6bRNc6nEAZAMAQzmIJ-QUlcJBCyWfPjqfkPPWrgEAJeOg8Dk54ZJrRLk5JX5b8m5YQt3TQy27XFpq1GZPg1-dXVLJdqY-3BlStnlptEQ6VZsyzWG5LfVHV92ccqD9qcw-VGr9Oi_96tNN8qud2wvyLPYSzu_rGfn24err5adh--Xj58v328EJDsvgBU5OWfBeWi8mJSKTmuOoLVh0wkaNEYELPnKuI0buAk7Bu8jEBMgdPyPvjrmHddp3IeSl2tkcatrb-ssUm8y_Sk7fza7cGL0ZN1LIHvDmPqCWn2toi9mn5sI82xzK2gwqMSo5shG69fV_1uuy1r6tZjgDBCHURnUXHl2ultZqiA-fYWDuOJojR9M5mj8cjehNrx6P8dDylxr_DRCzmtM</recordid><startdate>20211101</startdate><enddate>20211101</enddate><creator>Chan, Micaela Y</creator><creator>Han, Liang</creator><creator>Carreno, Claudia A</creator><creator>Zhang, Ziwei</creator><creator>Rodriguez, Rebekah M</creator><creator>LaRose, Megan</creator><creator>Hassenstab, Jason</creator><creator>Wig, Gagan S</creator><general>Nature Publishing Group</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6432-5192</orcidid></search><sort><creationdate>20211101</creationdate><title>Long-term prognosis and educational determinants of brain network decline in older adult individuals</title><author>Chan, Micaela Y ; Han, Liang ; Carreno, Claudia A ; Zhang, Ziwei ; Rodriguez, Rebekah M ; LaRose, Megan ; Hassenstab, Jason ; Wig, Gagan S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c430t-d42bc6a0dd5ad4b64f1583278a0a2c4af82f203437338f2f3ce2bedcf14b023c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adults</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alzheimer Disease - diagnosis</topic><topic>Amyloid beta-Peptides - cerebrospinal fluid</topic><topic>Biomarkers - cerebrospinal fluid</topic><topic>Brain - diagnostic imaging</topic><topic>Dementia</topic><topic>Educational Status</topic><topic>Health risk assessment</topic><topic>Humans</topic><topic>Middle Aged</topic><topic>Older people</topic><topic>Prognosis</topic><topic>Segregation</topic><topic>tau Proteins - cerebrospinal fluid</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chan, Micaela Y</creatorcontrib><creatorcontrib>Han, Liang</creatorcontrib><creatorcontrib>Carreno, Claudia A</creatorcontrib><creatorcontrib>Zhang, Ziwei</creatorcontrib><creatorcontrib>Rodriguez, Rebekah M</creatorcontrib><creatorcontrib>LaRose, Megan</creatorcontrib><creatorcontrib>Hassenstab, Jason</creatorcontrib><creatorcontrib>Wig, Gagan S</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Nature aging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chan, Micaela Y</au><au>Han, Liang</au><au>Carreno, Claudia A</au><au>Zhang, Ziwei</au><au>Rodriguez, Rebekah M</au><au>LaRose, Megan</au><au>Hassenstab, Jason</au><au>Wig, Gagan S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Long-term prognosis and educational determinants of brain network decline in older adult individuals</atitle><jtitle>Nature aging</jtitle><addtitle>Nat Aging</addtitle><date>2021-11-01</date><risdate>2021</risdate><volume>1</volume><issue>11</issue><spage>1053</spage><epage>1067</epage><pages>1053-1067</pages><issn>2662-8465</issn><eissn>2662-8465</eissn><abstract>Older adults with lower education are at greater risk for dementia. It is unclear which brain changes lead to these outcomes. Longitudinal imaging-based measures of brain structure and function were examined in adult individuals (baseline age, 45-86 years; two to five visits per participant over 1-9 years). College degree completion differentiates individual-based and neighborhood-based measures of socioeconomic status and disadvantage. Older adults (~65 years and over) without a college degree exhibit a pattern of declining large-scale functional brain network organization (resting-state system segregation) that is less evident in their college-educated peers. Declining brain system segregation predicts impending changes in dementia severity, measured up to 10 years past the last scan date. The prognostic value of brain network change is independent of Alzheimer's disease (AD)-related genetic risk (
status), the presence of AD-associated pathology (cerebrospinal fluid phosphorylated tau, cortical amyloid) and cortical thinning. These results demonstrate that the trajectory of an individual's brain network organization varies in relation to their educational attainment and, more broadly, is a unique indicator of individual brain health during older age.</abstract><cop>United States</cop><pub>Nature Publishing Group</pub><pmid>35382259</pmid><doi>10.1038/s43587-021-00125-4</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-6432-5192</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2662-8465 |
| ispartof | Nature aging, 2021-11, Vol.1 (11), p.1053-1067 |
| issn | 2662-8465 2662-8465 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8979545 |
| source | MEDLINE; Springer Nature - Complete Springer Journals |
| subjects | Adults Aged Aged, 80 and over Alzheimer Disease - diagnosis Amyloid beta-Peptides - cerebrospinal fluid Biomarkers - cerebrospinal fluid Brain - diagnostic imaging Dementia Educational Status Health risk assessment Humans Middle Aged Older people Prognosis Segregation tau Proteins - cerebrospinal fluid |
| title | Long-term prognosis and educational determinants of brain network decline in older adult individuals |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-20T00%3A11%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Long-term%20prognosis%20and%20educational%20determinants%20of%20brain%20network%20decline%20in%20older%20adult%20individuals&rft.jtitle=Nature%20aging&rft.au=Chan,%20Micaela%20Y&rft.date=2021-11-01&rft.volume=1&rft.issue=11&rft.spage=1053&rft.epage=1067&rft.pages=1053-1067&rft.issn=2662-8465&rft.eissn=2662-8465&rft_id=info:doi/10.1038/s43587-021-00125-4&rft_dat=%3Cproquest_pubme%3E2647657170%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3102044696&rft_id=info:pmid/35382259&rfr_iscdi=true |