CSF biomarker associations with change in hippocampal volume and precuneus thickness: implications for the Alzheimer’s pathological cascade

Neurofibrillary tangles (NFT) and amyloid plaques are hallmark neuropathological features of Alzheimer’s disease (AD). There is some debate as to which neuropathological feature comes first in the disease process, with early autopsy studies suggesting that NFT develop first, and more recent neuroima...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Brain imaging and behavior 2012-12, Vol.6 (4), p.599-609
Hauptverfasser: Stricker, Nikki H., Dodge, Hiroko H., Dowling, N. Maritza, Han, S. Duke, Erosheva, Elena A., Jagust, William J.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 609
container_issue 4
container_start_page 599
container_title Brain imaging and behavior
container_volume 6
creator Stricker, Nikki H.
Dodge, Hiroko H.
Dowling, N. Maritza
Han, S. Duke
Erosheva, Elena A.
Jagust, William J.
description Neurofibrillary tangles (NFT) and amyloid plaques are hallmark neuropathological features of Alzheimer’s disease (AD). There is some debate as to which neuropathological feature comes first in the disease process, with early autopsy studies suggesting that NFT develop first, and more recent neuroimaging studies supporting the early role of amyloid beta (Aβ) deposition. Cerebrospinal fluid (CSF) biomarkers of Aβ 42 and hyperphosphorylated tau (p-tau) have been shown to serve as in vivo proxy measures of amyloid plaques and NFT, respectively. The aim of this study was to examine the association between CSF biomarkers and rate of atrophy in the precuneus and hippocampus. These regions were selected because the precuneus appears to be affected early and severely by Aβ deposition, and the hippocampus similarly by NFT pathology. We predicted (1) baseline Aβ 42 would be related to accelerated rate of cortical thinning in the precuneus and volume loss in the hippocampus, with the latter relationship expected to be weaker, (2) baseline p-tau 181p would be related to accelerated rate of hippocampal atrophy and cortical thinning in the precuneus, with the latter relationship expected to be weaker. Using all ADNI cohorts, we fitted separate linear mixed-effects models for changes in hippocampus and precuneus longitudinal outcome measures with baseline CSF biomarkers modeled as predictors. Results partially supported our hypotheses: Both baseline p-tau 181p and Aβ 42 were associated with hippocampal atrophy over time. Neither p-tau 181p nor Aβ 42 were significantly related to cortical thinning in the precuneus over time. However, follow-up analyses demonstrated that having abnormal levels of both Aβ 42 and p-tau 181p was associated with an accelerated rate of atrophy in both the hippocampus and precuneus. Results support early effects of Aβ in the Alzheimer’s disease process, which are less apparent than and perhaps dependent on p-tau effects as the disease progresses. However, amyloid deposition alone may be insufficient for emergence of significant morphometric changes and clinical symptoms.
doi_str_mv 10.1007/s11682-012-9171-6
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3656503</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2867758341</sourcerecordid><originalsourceid>FETCH-LOGICAL-c503t-e06ca5cc5fc43c856dac7a4ba369fea7d8763f41c804e5d2b5d9d9aad78a6e163</originalsourceid><addsrcrecordid>eNqFksFu1DAQhiMEoqXwAFyQJS5cAnYc2wkHpGpFC1IlDsDZmnUmG7eOHeykFZx4AR6A1-uT4NUuq4KEONnSfP5n5vdfFE8ZfckoVa8SY7KpSsqqsmWKlfJeccxazkolpLh_uAt1VDxK6ZJSUTcte1gcVZVkNa_UcfFj9fGMrG0YIV5hJJBSMBZmG3wiN3YeiBnAb5BYTwY7TcHAOIEj18EtIxLwHZkimsXjksg8WHPlMaXXxI6Ts2av04eYa0hO3bcB7Yjx9vvPRCaYh-DCJmOOGEgGOnxcPOjBJXyyP0-Kz2dvP63elRcfzt-vTi9KIyifS6TSgDBG9KbmphGyA6OgXgOXbY-gukZJ3tfMNLRG0VVr0bVdC9CpBiQyyU-KNzvdaVmP2Bn0cwSnp2izD191AKv_rHg76E241lxmZynPAi_2AjF8WTDNerTJoHPgMSxJZ3dryjgT8v9o1YhaVkxtVZ__hV6GJfrsRKZUbitYs6XYjjIxpBSxP8zNqN7mQu9yoXMu9DYXejvEs7sLH178DkIGqh2Qcil_eLzT-p-qvwDet8gt</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1270335183</pqid></control><display><type>article</type><title>CSF biomarker associations with change in hippocampal volume and precuneus thickness: implications for the Alzheimer’s pathological cascade</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Stricker, Nikki H. ; Dodge, Hiroko H. ; Dowling, N. Maritza ; Han, S. Duke ; Erosheva, Elena A. ; Jagust, William J.</creator><creatorcontrib>Stricker, Nikki H. ; Dodge, Hiroko H. ; Dowling, N. Maritza ; Han, S. Duke ; Erosheva, Elena A. ; Jagust, William J. ; Alzheimer’s Disease Neuroimaging Initiative ; for the Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><description>Neurofibrillary tangles (NFT) and amyloid plaques are hallmark neuropathological features of Alzheimer’s disease (AD). There is some debate as to which neuropathological feature comes first in the disease process, with early autopsy studies suggesting that NFT develop first, and more recent neuroimaging studies supporting the early role of amyloid beta (Aβ) deposition. Cerebrospinal fluid (CSF) biomarkers of Aβ 42 and hyperphosphorylated tau (p-tau) have been shown to serve as in vivo proxy measures of amyloid plaques and NFT, respectively. The aim of this study was to examine the association between CSF biomarkers and rate of atrophy in the precuneus and hippocampus. These regions were selected because the precuneus appears to be affected early and severely by Aβ deposition, and the hippocampus similarly by NFT pathology. We predicted (1) baseline Aβ 42 would be related to accelerated rate of cortical thinning in the precuneus and volume loss in the hippocampus, with the latter relationship expected to be weaker, (2) baseline p-tau 181p would be related to accelerated rate of hippocampal atrophy and cortical thinning in the precuneus, with the latter relationship expected to be weaker. Using all ADNI cohorts, we fitted separate linear mixed-effects models for changes in hippocampus and precuneus longitudinal outcome measures with baseline CSF biomarkers modeled as predictors. Results partially supported our hypotheses: Both baseline p-tau 181p and Aβ 42 were associated with hippocampal atrophy over time. Neither p-tau 181p nor Aβ 42 were significantly related to cortical thinning in the precuneus over time. However, follow-up analyses demonstrated that having abnormal levels of both Aβ 42 and p-tau 181p was associated with an accelerated rate of atrophy in both the hippocampus and precuneus. Results support early effects of Aβ in the Alzheimer’s disease process, which are less apparent than and perhaps dependent on p-tau effects as the disease progresses. However, amyloid deposition alone may be insufficient for emergence of significant morphometric changes and clinical symptoms.</description><identifier>ISSN: 1931-7557</identifier><identifier>EISSN: 1931-7565</identifier><identifier>DOI: 10.1007/s11682-012-9171-6</identifier><identifier>PMID: 22614327</identifier><language>eng</language><publisher>New York: Springer-Verlag</publisher><subject>ADNI: Friday Harbor 2011 Workshop SPECIAL ISSUE ; Aged ; Aged, 80 and over ; Alzheimer Disease - cerebrospinal fluid ; Alzheimer Disease - pathology ; Alzheimer's disease ; Amyloid beta-Peptides - cerebrospinal fluid ; Biomarkers ; Biomarkers - blood ; Biomedical and Life Sciences ; Biomedicine ; Female ; Hippocampus - metabolism ; Hippocampus - pathology ; Humans ; Magnetic Resonance Imaging - methods ; Male ; Medical imaging ; Middle Aged ; Neuropsychology ; Neuroradiology ; Neurosciences ; Organ Size ; Parietal Lobe - metabolism ; Parietal Lobe - pathology ; Pathology ; Peptide Fragments - cerebrospinal fluid ; Psychiatry ; Reproducibility of Results ; Sensitivity and Specificity</subject><ispartof>Brain imaging and behavior, 2012-12, Vol.6 (4), p.599-609</ispartof><rights>Springer Science+Business Media, LLC (outside the USA) 2012</rights><rights>Springer Science+Business Media New York 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c503t-e06ca5cc5fc43c856dac7a4ba369fea7d8763f41c804e5d2b5d9d9aad78a6e163</citedby><cites>FETCH-LOGICAL-c503t-e06ca5cc5fc43c856dac7a4ba369fea7d8763f41c804e5d2b5d9d9aad78a6e163</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11682-012-9171-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11682-012-9171-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22614327$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Stricker, Nikki H.</creatorcontrib><creatorcontrib>Dodge, Hiroko H.</creatorcontrib><creatorcontrib>Dowling, N. Maritza</creatorcontrib><creatorcontrib>Han, S. Duke</creatorcontrib><creatorcontrib>Erosheva, Elena A.</creatorcontrib><creatorcontrib>Jagust, William J.</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><creatorcontrib>for the Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><title>CSF biomarker associations with change in hippocampal volume and precuneus thickness: implications for the Alzheimer’s pathological cascade</title><title>Brain imaging and behavior</title><addtitle>Brain Imaging and Behavior</addtitle><addtitle>Brain Imaging Behav</addtitle><description>Neurofibrillary tangles (NFT) and amyloid plaques are hallmark neuropathological features of Alzheimer’s disease (AD). There is some debate as to which neuropathological feature comes first in the disease process, with early autopsy studies suggesting that NFT develop first, and more recent neuroimaging studies supporting the early role of amyloid beta (Aβ) deposition. Cerebrospinal fluid (CSF) biomarkers of Aβ 42 and hyperphosphorylated tau (p-tau) have been shown to serve as in vivo proxy measures of amyloid plaques and NFT, respectively. The aim of this study was to examine the association between CSF biomarkers and rate of atrophy in the precuneus and hippocampus. These regions were selected because the precuneus appears to be affected early and severely by Aβ deposition, and the hippocampus similarly by NFT pathology. We predicted (1) baseline Aβ 42 would be related to accelerated rate of cortical thinning in the precuneus and volume loss in the hippocampus, with the latter relationship expected to be weaker, (2) baseline p-tau 181p would be related to accelerated rate of hippocampal atrophy and cortical thinning in the precuneus, with the latter relationship expected to be weaker. Using all ADNI cohorts, we fitted separate linear mixed-effects models for changes in hippocampus and precuneus longitudinal outcome measures with baseline CSF biomarkers modeled as predictors. Results partially supported our hypotheses: Both baseline p-tau 181p and Aβ 42 were associated with hippocampal atrophy over time. Neither p-tau 181p nor Aβ 42 were significantly related to cortical thinning in the precuneus over time. However, follow-up analyses demonstrated that having abnormal levels of both Aβ 42 and p-tau 181p was associated with an accelerated rate of atrophy in both the hippocampus and precuneus. Results support early effects of Aβ in the Alzheimer’s disease process, which are less apparent than and perhaps dependent on p-tau effects as the disease progresses. However, amyloid deposition alone may be insufficient for emergence of significant morphometric changes and clinical symptoms.</description><subject>ADNI: Friday Harbor 2011 Workshop SPECIAL ISSUE</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alzheimer Disease - cerebrospinal fluid</subject><subject>Alzheimer Disease - pathology</subject><subject>Alzheimer's disease</subject><subject>Amyloid beta-Peptides - cerebrospinal fluid</subject><subject>Biomarkers</subject><subject>Biomarkers - blood</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Female</subject><subject>Hippocampus - metabolism</subject><subject>Hippocampus - pathology</subject><subject>Humans</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Middle Aged</subject><subject>Neuropsychology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Organ Size</subject><subject>Parietal Lobe - metabolism</subject><subject>Parietal Lobe - pathology</subject><subject>Pathology</subject><subject>Peptide Fragments - cerebrospinal fluid</subject><subject>Psychiatry</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><issn>1931-7557</issn><issn>1931-7565</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFksFu1DAQhiMEoqXwAFyQJS5cAnYc2wkHpGpFC1IlDsDZmnUmG7eOHeykFZx4AR6A1-uT4NUuq4KEONnSfP5n5vdfFE8ZfckoVa8SY7KpSsqqsmWKlfJeccxazkolpLh_uAt1VDxK6ZJSUTcte1gcVZVkNa_UcfFj9fGMrG0YIV5hJJBSMBZmG3wiN3YeiBnAb5BYTwY7TcHAOIEj18EtIxLwHZkimsXjksg8WHPlMaXXxI6Ts2av04eYa0hO3bcB7Yjx9vvPRCaYh-DCJmOOGEgGOnxcPOjBJXyyP0-Kz2dvP63elRcfzt-vTi9KIyifS6TSgDBG9KbmphGyA6OgXgOXbY-gukZJ3tfMNLRG0VVr0bVdC9CpBiQyyU-KNzvdaVmP2Bn0cwSnp2izD191AKv_rHg76E241lxmZynPAi_2AjF8WTDNerTJoHPgMSxJZ3dryjgT8v9o1YhaVkxtVZ__hV6GJfrsRKZUbitYs6XYjjIxpBSxP8zNqN7mQu9yoXMu9DYXejvEs7sLH178DkIGqh2Qcil_eLzT-p-qvwDet8gt</recordid><startdate>20121201</startdate><enddate>20121201</enddate><creator>Stricker, Nikki H.</creator><creator>Dodge, Hiroko H.</creator><creator>Dowling, N. Maritza</creator><creator>Han, S. Duke</creator><creator>Erosheva, Elena A.</creator><creator>Jagust, William J.</creator><general>Springer-Verlag</general><general>Springer Nature B.V</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>7RV</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20121201</creationdate><title>CSF biomarker associations with change in hippocampal volume and precuneus thickness: implications for the Alzheimer’s pathological cascade</title><author>Stricker, Nikki H. ; Dodge, Hiroko H. ; Dowling, N. Maritza ; Han, S. Duke ; Erosheva, Elena A. ; Jagust, William J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c503t-e06ca5cc5fc43c856dac7a4ba369fea7d8763f41c804e5d2b5d9d9aad78a6e163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>ADNI: Friday Harbor 2011 Workshop SPECIAL ISSUE</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alzheimer Disease - cerebrospinal fluid</topic><topic>Alzheimer Disease - pathology</topic><topic>Alzheimer's disease</topic><topic>Amyloid beta-Peptides - cerebrospinal fluid</topic><topic>Biomarkers</topic><topic>Biomarkers - blood</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Female</topic><topic>Hippocampus - metabolism</topic><topic>Hippocampus - pathology</topic><topic>Humans</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Middle Aged</topic><topic>Neuropsychology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Organ Size</topic><topic>Parietal Lobe - metabolism</topic><topic>Parietal Lobe - pathology</topic><topic>Pathology</topic><topic>Peptide Fragments - cerebrospinal fluid</topic><topic>Psychiatry</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Stricker, Nikki H.</creatorcontrib><creatorcontrib>Dodge, Hiroko H.</creatorcontrib><creatorcontrib>Dowling, N. Maritza</creatorcontrib><creatorcontrib>Han, S. Duke</creatorcontrib><creatorcontrib>Erosheva, Elena A.</creatorcontrib><creatorcontrib>Jagust, William J.</creatorcontrib><creatorcontrib>Alzheimer’s Disease Neuroimaging Initiative</creatorcontrib><creatorcontrib>for the Alzheimer’s Disease Neuroimaging Initiative</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>Nursing &amp; Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</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>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Biological Science Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</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>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Brain imaging and behavior</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Stricker, Nikki H.</au><au>Dodge, Hiroko H.</au><au>Dowling, N. Maritza</au><au>Han, S. Duke</au><au>Erosheva, Elena A.</au><au>Jagust, William J.</au><aucorp>Alzheimer’s Disease Neuroimaging Initiative</aucorp><aucorp>for the Alzheimer’s Disease Neuroimaging Initiative</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CSF biomarker associations with change in hippocampal volume and precuneus thickness: implications for the Alzheimer’s pathological cascade</atitle><jtitle>Brain imaging and behavior</jtitle><stitle>Brain Imaging and Behavior</stitle><addtitle>Brain Imaging Behav</addtitle><date>2012-12-01</date><risdate>2012</risdate><volume>6</volume><issue>4</issue><spage>599</spage><epage>609</epage><pages>599-609</pages><issn>1931-7557</issn><eissn>1931-7565</eissn><abstract>Neurofibrillary tangles (NFT) and amyloid plaques are hallmark neuropathological features of Alzheimer’s disease (AD). There is some debate as to which neuropathological feature comes first in the disease process, with early autopsy studies suggesting that NFT develop first, and more recent neuroimaging studies supporting the early role of amyloid beta (Aβ) deposition. Cerebrospinal fluid (CSF) biomarkers of Aβ 42 and hyperphosphorylated tau (p-tau) have been shown to serve as in vivo proxy measures of amyloid plaques and NFT, respectively. The aim of this study was to examine the association between CSF biomarkers and rate of atrophy in the precuneus and hippocampus. These regions were selected because the precuneus appears to be affected early and severely by Aβ deposition, and the hippocampus similarly by NFT pathology. We predicted (1) baseline Aβ 42 would be related to accelerated rate of cortical thinning in the precuneus and volume loss in the hippocampus, with the latter relationship expected to be weaker, (2) baseline p-tau 181p would be related to accelerated rate of hippocampal atrophy and cortical thinning in the precuneus, with the latter relationship expected to be weaker. Using all ADNI cohorts, we fitted separate linear mixed-effects models for changes in hippocampus and precuneus longitudinal outcome measures with baseline CSF biomarkers modeled as predictors. Results partially supported our hypotheses: Both baseline p-tau 181p and Aβ 42 were associated with hippocampal atrophy over time. Neither p-tau 181p nor Aβ 42 were significantly related to cortical thinning in the precuneus over time. However, follow-up analyses demonstrated that having abnormal levels of both Aβ 42 and p-tau 181p was associated with an accelerated rate of atrophy in both the hippocampus and precuneus. Results support early effects of Aβ in the Alzheimer’s disease process, which are less apparent than and perhaps dependent on p-tau effects as the disease progresses. However, amyloid deposition alone may be insufficient for emergence of significant morphometric changes and clinical symptoms.</abstract><cop>New York</cop><pub>Springer-Verlag</pub><pmid>22614327</pmid><doi>10.1007/s11682-012-9171-6</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1931-7557
ispartof Brain imaging and behavior, 2012-12, Vol.6 (4), p.599-609
issn 1931-7557
1931-7565
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3656503
source MEDLINE; SpringerLink Journals - AutoHoldings
subjects ADNI: Friday Harbor 2011 Workshop SPECIAL ISSUE
Aged
Aged, 80 and over
Alzheimer Disease - cerebrospinal fluid
Alzheimer Disease - pathology
Alzheimer's disease
Amyloid beta-Peptides - cerebrospinal fluid
Biomarkers
Biomarkers - blood
Biomedical and Life Sciences
Biomedicine
Female
Hippocampus - metabolism
Hippocampus - pathology
Humans
Magnetic Resonance Imaging - methods
Male
Medical imaging
Middle Aged
Neuropsychology
Neuroradiology
Neurosciences
Organ Size
Parietal Lobe - metabolism
Parietal Lobe - pathology
Pathology
Peptide Fragments - cerebrospinal fluid
Psychiatry
Reproducibility of Results
Sensitivity and Specificity
title CSF biomarker associations with change in hippocampal volume and precuneus thickness: implications for the Alzheimer’s pathological cascade
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T14%3A00%3A30IST&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=CSF%20biomarker%20associations%20with%20change%20in%20hippocampal%20volume%20and%20precuneus%20thickness:%20implications%20for%20the%20Alzheimer%E2%80%99s%20pathological%20cascade&rft.jtitle=Brain%20imaging%20and%20behavior&rft.au=Stricker,%20Nikki%20H.&rft.aucorp=Alzheimer%E2%80%99s%20Disease%20Neuroimaging%20Initiative&rft.date=2012-12-01&rft.volume=6&rft.issue=4&rft.spage=599&rft.epage=609&rft.pages=599-609&rft.issn=1931-7557&rft.eissn=1931-7565&rft_id=info:doi/10.1007/s11682-012-9171-6&rft_dat=%3Cproquest_pubme%3E2867758341%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=1270335183&rft_id=info:pmid/22614327&rfr_iscdi=true