Region-Specific Association of Subjective Cognitive Decline With Tauopathy Independent of Global β-Amyloid Burden

IMPORTANCE: The ability to explore associations between reports of subjective cognitive decline (SCD) and biomarkers of early Alzheimer disease (AD) pathophysiologic processes (accumulation of neocortical β-amyloid [Aβ] and tau) provides an important opportunity to understand the basis of SCD and AD...

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Veröffentlicht in:JAMA neurology 2017-12, Vol.74 (12), p.1455-1463
Hauptverfasser: Buckley, Rachel F, Hanseeuw, Bernard, Schultz, Aaron P, Vannini, Patrizia, Aghjayan, Sarah L, Properzi, Michael J, Jackson, Jonathan D, Mormino, Elizabeth C, Rentz, Dorene M, Sperling, Reisa A, Johnson, Keith A, Amariglio, Rebecca E
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container_end_page 1463
container_issue 12
container_start_page 1455
container_title JAMA neurology
container_volume 74
creator Buckley, Rachel F
Hanseeuw, Bernard
Schultz, Aaron P
Vannini, Patrizia
Aghjayan, Sarah L
Properzi, Michael J
Jackson, Jonathan D
Mormino, Elizabeth C
Rentz, Dorene M
Sperling, Reisa A
Johnson, Keith A
Amariglio, Rebecca E
description IMPORTANCE: The ability to explore associations between reports of subjective cognitive decline (SCD) and biomarkers of early Alzheimer disease (AD) pathophysiologic processes (accumulation of neocortical β-amyloid [Aβ] and tau) provides an important opportunity to understand the basis of SCD and AD risk. OBJECTIVE: To examine associations between SCD and global Aβ and tau burdens in regions of interest in clinically healthy older adults. DESIGN, SETTING, AND PARTICIPANTS: This imaging substudy of the Harvard Aging Brain Study included 133 clinically healthy older participants (Clinical Dementia Rating Scale global scores of 0) participating in the Harvard Aging Brain Study who underwent cross-sectional flortaucipir F 18 (previously known as AV 1451, T807) positron emission tomography (FTP-PET) imaging for tau and Pittsburgh compound B carbon 11–labeled PET (PiB-PET) imaging for Aβ. The following 2 regions for tau burden were identified: the entorhinal cortex, which exhibits early signs of tauopathy, and the inferior temporal region, which is more closely associated with AD-related pathologic mechanisms. Data were collected from June 11, 2012, through April 7, 2016. MAIN OUTCOMES AND MEASURES: Subjective cognitive decline was measured using a previously published method of z-transforming subscales from the Memory Functioning Questionnaire, the Everyday Cognition battery, and a 7-item questionnaire. The Aβ level was measured according to a summary distribution volume ratio of frontal, lateral temporal and parietal, and retrosplenial PiB-PET tracer uptake. The FTP-PET measures were computed as standardized uptake value ratios. Linear regression models focused on main and interactive effects of Aβ, entorhinal cortical, and inferior temporal tau on SCD, controlling for age, sex, educational attainment, and Geriatric Depression Scale score. RESULTS: Of the 133 participants, 75 (56.3%) were women and 58 (43.6%) were men; mean (SD) age was 76 (6.9) years (range, 55-90 years). Thirty-nine participants (29.3%) exhibited a high Aβ burden. Greater SCD was associated with increasing entorhinal cortical tau burden (β = 0.35; 95% CI, 0.19-.52; P 
doi_str_mv 10.1001/jamaneurol.2017.2216
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OBJECTIVE: To examine associations between SCD and global Aβ and tau burdens in regions of interest in clinically healthy older adults. DESIGN, SETTING, AND PARTICIPANTS: This imaging substudy of the Harvard Aging Brain Study included 133 clinically healthy older participants (Clinical Dementia Rating Scale global scores of 0) participating in the Harvard Aging Brain Study who underwent cross-sectional flortaucipir F 18 (previously known as AV 1451, T807) positron emission tomography (FTP-PET) imaging for tau and Pittsburgh compound B carbon 11–labeled PET (PiB-PET) imaging for Aβ. The following 2 regions for tau burden were identified: the entorhinal cortex, which exhibits early signs of tauopathy, and the inferior temporal region, which is more closely associated with AD-related pathologic mechanisms. Data were collected from June 11, 2012, through April 7, 2016. MAIN OUTCOMES AND MEASURES: Subjective cognitive decline was measured using a previously published method of z-transforming subscales from the Memory Functioning Questionnaire, the Everyday Cognition battery, and a 7-item questionnaire. The Aβ level was measured according to a summary distribution volume ratio of frontal, lateral temporal and parietal, and retrosplenial PiB-PET tracer uptake. The FTP-PET measures were computed as standardized uptake value ratios. Linear regression models focused on main and interactive effects of Aβ, entorhinal cortical, and inferior temporal tau on SCD, controlling for age, sex, educational attainment, and Geriatric Depression Scale score. RESULTS: Of the 133 participants, 75 (56.3%) were women and 58 (43.6%) were men; mean (SD) age was 76 (6.9) years (range, 55-90 years). Thirty-nine participants (29.3%) exhibited a high Aβ burden. Greater SCD was associated with increasing entorhinal cortical tau burden (β = 0.35; 95% CI, 0.19-.52; P &lt; .001) and Aβ burden (β = 0.24; 95% CI, 0.08-.40; P = .005), but not inferior temporal tau burden (β = 0.10; 95% CI, −0.08 to 0.28; P = .27). This association between entorhinal cortical tau burden and SCD was largely unchanged after accounting for Aβ burden (β = 0.36; 95% CI, 0.15-.58; P = .001), and no interaction influenced SCD (β = −0.36; 95% CI, −0.34 to 0.09; P = .25). An exploratory post hoc whole-brain analysis also indicated that SCD was predominantly associated with greater tau burden in the entorhinal cortex. CONCLUSIONS AND RELEVANCE: Subjective cognitive decline is indicative of accumulation of early tauopathy in the medial temporal lobe, specifically in the entorhinal cortex, and to a lesser extent, elevated global levels of Aβ. Our findings suggest multiple underlying pathways that motivate SCD that do not necessarily interact to influence SCD endorsement. As such, multiple biological factors must be considered when assessing SCD in clinically healthy older adults.</description><identifier>ISSN: 2168-6149</identifier><identifier>EISSN: 2168-6157</identifier><identifier>DOI: 10.1001/jamaneurol.2017.2216</identifier><identifier>PMID: 28973551</identifier><language>eng</language><publisher>United States: American Medical Association</publisher><subject>Aged ; Aged, 80 and over ; Amyloid beta-Peptides - metabolism ; Brain - diagnostic imaging ; Brain - metabolism ; Carbolines ; Cognitive Dysfunction - diagnostic imaging ; Cognitive Dysfunction - metabolism ; Cross-Sectional Studies ; Diagnostic Self Evaluation ; Entorhinal Cortex - diagnostic imaging ; Entorhinal Cortex - metabolism ; Female ; Frontal Lobe - diagnostic imaging ; Frontal Lobe - metabolism ; Humans ; Male ; Middle Aged ; Neocortex - diagnostic imaging ; Neocortex - metabolism ; Parietal Lobe - diagnostic imaging ; Parietal Lobe - metabolism ; Phenanthrolines ; Positron-Emission Tomography ; Radiopharmaceuticals ; Surveys and Questionnaires ; tau Proteins - metabolism ; Tauopathies - diagnostic imaging ; Tauopathies - metabolism ; Temporal Lobe - diagnostic imaging ; Temporal Lobe - metabolism</subject><ispartof>JAMA neurology, 2017-12, Vol.74 (12), p.1455-1463</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a427t-1254be93f4b35a15a912c8075f86b2f5b993b36687b6dcd900bcf6f6897a72f03</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://jamanetwork.com/journals/jamaneurology/articlepdf/10.1001/jamaneurol.2017.2216$$EPDF$$P50$$Gama$$H</linktopdf><linktohtml>$$Uhttps://jamanetwork.com/journals/jamaneurology/fullarticle/10.1001/jamaneurol.2017.2216$$EHTML$$P50$$Gama$$H</linktohtml><link.rule.ids>64,230,314,776,780,881,3326,27903,27904,76236,76239</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28973551$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Buckley, Rachel F</creatorcontrib><creatorcontrib>Hanseeuw, Bernard</creatorcontrib><creatorcontrib>Schultz, Aaron P</creatorcontrib><creatorcontrib>Vannini, Patrizia</creatorcontrib><creatorcontrib>Aghjayan, Sarah L</creatorcontrib><creatorcontrib>Properzi, Michael J</creatorcontrib><creatorcontrib>Jackson, Jonathan D</creatorcontrib><creatorcontrib>Mormino, Elizabeth C</creatorcontrib><creatorcontrib>Rentz, Dorene M</creatorcontrib><creatorcontrib>Sperling, Reisa A</creatorcontrib><creatorcontrib>Johnson, Keith A</creatorcontrib><creatorcontrib>Amariglio, Rebecca E</creatorcontrib><title>Region-Specific Association of Subjective Cognitive Decline With Tauopathy Independent of Global β-Amyloid Burden</title><title>JAMA neurology</title><addtitle>JAMA Neurol</addtitle><description>IMPORTANCE: The ability to explore associations between reports of subjective cognitive decline (SCD) and biomarkers of early Alzheimer disease (AD) pathophysiologic processes (accumulation of neocortical β-amyloid [Aβ] and tau) provides an important opportunity to understand the basis of SCD and AD risk. OBJECTIVE: To examine associations between SCD and global Aβ and tau burdens in regions of interest in clinically healthy older adults. DESIGN, SETTING, AND PARTICIPANTS: This imaging substudy of the Harvard Aging Brain Study included 133 clinically healthy older participants (Clinical Dementia Rating Scale global scores of 0) participating in the Harvard Aging Brain Study who underwent cross-sectional flortaucipir F 18 (previously known as AV 1451, T807) positron emission tomography (FTP-PET) imaging for tau and Pittsburgh compound B carbon 11–labeled PET (PiB-PET) imaging for Aβ. The following 2 regions for tau burden were identified: the entorhinal cortex, which exhibits early signs of tauopathy, and the inferior temporal region, which is more closely associated with AD-related pathologic mechanisms. Data were collected from June 11, 2012, through April 7, 2016. MAIN OUTCOMES AND MEASURES: Subjective cognitive decline was measured using a previously published method of z-transforming subscales from the Memory Functioning Questionnaire, the Everyday Cognition battery, and a 7-item questionnaire. The Aβ level was measured according to a summary distribution volume ratio of frontal, lateral temporal and parietal, and retrosplenial PiB-PET tracer uptake. The FTP-PET measures were computed as standardized uptake value ratios. Linear regression models focused on main and interactive effects of Aβ, entorhinal cortical, and inferior temporal tau on SCD, controlling for age, sex, educational attainment, and Geriatric Depression Scale score. RESULTS: Of the 133 participants, 75 (56.3%) were women and 58 (43.6%) were men; mean (SD) age was 76 (6.9) years (range, 55-90 years). Thirty-nine participants (29.3%) exhibited a high Aβ burden. Greater SCD was associated with increasing entorhinal cortical tau burden (β = 0.35; 95% CI, 0.19-.52; P &lt; .001) and Aβ burden (β = 0.24; 95% CI, 0.08-.40; P = .005), but not inferior temporal tau burden (β = 0.10; 95% CI, −0.08 to 0.28; P = .27). This association between entorhinal cortical tau burden and SCD was largely unchanged after accounting for Aβ burden (β = 0.36; 95% CI, 0.15-.58; P = .001), and no interaction influenced SCD (β = −0.36; 95% CI, −0.34 to 0.09; P = .25). An exploratory post hoc whole-brain analysis also indicated that SCD was predominantly associated with greater tau burden in the entorhinal cortex. CONCLUSIONS AND RELEVANCE: Subjective cognitive decline is indicative of accumulation of early tauopathy in the medial temporal lobe, specifically in the entorhinal cortex, and to a lesser extent, elevated global levels of Aβ. Our findings suggest multiple underlying pathways that motivate SCD that do not necessarily interact to influence SCD endorsement. As such, multiple biological factors must be considered when assessing SCD in clinically healthy older adults.</description><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Amyloid beta-Peptides - metabolism</subject><subject>Brain - diagnostic imaging</subject><subject>Brain - metabolism</subject><subject>Carbolines</subject><subject>Cognitive Dysfunction - diagnostic imaging</subject><subject>Cognitive Dysfunction - metabolism</subject><subject>Cross-Sectional Studies</subject><subject>Diagnostic Self Evaluation</subject><subject>Entorhinal Cortex - diagnostic imaging</subject><subject>Entorhinal Cortex - metabolism</subject><subject>Female</subject><subject>Frontal Lobe - diagnostic imaging</subject><subject>Frontal Lobe - metabolism</subject><subject>Humans</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Neocortex - diagnostic imaging</subject><subject>Neocortex - metabolism</subject><subject>Parietal Lobe - diagnostic imaging</subject><subject>Parietal Lobe - metabolism</subject><subject>Phenanthrolines</subject><subject>Positron-Emission Tomography</subject><subject>Radiopharmaceuticals</subject><subject>Surveys and Questionnaires</subject><subject>tau Proteins - metabolism</subject><subject>Tauopathies - diagnostic imaging</subject><subject>Tauopathies - metabolism</subject><subject>Temporal Lobe - diagnostic imaging</subject><subject>Temporal Lobe - metabolism</subject><issn>2168-6149</issn><issn>2168-6157</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVUd1qFDEUDqLYUvsCIjKX3sya_0xuhHWttVAo2IqXIckku1lmJmMyU9jX8kH6TGa7dau5ODnk-8lJPgDeIbhAEKKPW93rwc0pdgsMkVhgjPgLcFpqU3PExMtjT-UJOM95C8tqIKSEvgYnuJGCMIZOQfru1iEO9e3obPDBVsucow16KodV9NXtbLbOTuHeVau4HsJj98XZLgyu-hmmTXWn5zjqabOrrobWja6UYdpLL7todFc9_K6X_a6Loa0-z6mAb8Arr7vszp_2M_Dj68Xd6lt9fXN5tVpe15piMdUIM2qcJJ4awjRiWiJsGyiYb7jBnhkpiSGcN8Lw1rYSQmM997w8TQvsITkDnw6-42x619oyVtKdGlPoddqpqIP6HxnCRq3jvWJCUE5IMfjwZJDir9nlSfUhW9d15evjnBWSVEDJCW0KlR6oNsWck_PHaxBU-8TUc2Jqn5jaJ1Zk7_8d8Sj6m08hvD0QivoZ5YwTTMgfDDOf-g</recordid><startdate>20171201</startdate><enddate>20171201</enddate><creator>Buckley, Rachel F</creator><creator>Hanseeuw, Bernard</creator><creator>Schultz, Aaron P</creator><creator>Vannini, Patrizia</creator><creator>Aghjayan, Sarah L</creator><creator>Properzi, Michael J</creator><creator>Jackson, Jonathan D</creator><creator>Mormino, Elizabeth C</creator><creator>Rentz, Dorene M</creator><creator>Sperling, Reisa A</creator><creator>Johnson, Keith A</creator><creator>Amariglio, Rebecca E</creator><general>American Medical Association</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><scope>5PM</scope></search><sort><creationdate>20171201</creationdate><title>Region-Specific Association of Subjective Cognitive Decline With Tauopathy Independent of Global β-Amyloid Burden</title><author>Buckley, Rachel F ; Hanseeuw, Bernard ; Schultz, Aaron P ; Vannini, Patrizia ; Aghjayan, Sarah L ; Properzi, Michael J ; Jackson, Jonathan D ; Mormino, Elizabeth C ; Rentz, Dorene M ; Sperling, Reisa A ; Johnson, Keith A ; Amariglio, Rebecca E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a427t-1254be93f4b35a15a912c8075f86b2f5b993b36687b6dcd900bcf6f6897a72f03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Amyloid beta-Peptides - metabolism</topic><topic>Brain - diagnostic imaging</topic><topic>Brain - metabolism</topic><topic>Carbolines</topic><topic>Cognitive Dysfunction - diagnostic imaging</topic><topic>Cognitive Dysfunction - metabolism</topic><topic>Cross-Sectional Studies</topic><topic>Diagnostic Self Evaluation</topic><topic>Entorhinal Cortex - diagnostic imaging</topic><topic>Entorhinal Cortex - metabolism</topic><topic>Female</topic><topic>Frontal Lobe - diagnostic imaging</topic><topic>Frontal Lobe - metabolism</topic><topic>Humans</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neocortex - diagnostic imaging</topic><topic>Neocortex - metabolism</topic><topic>Parietal Lobe - diagnostic imaging</topic><topic>Parietal Lobe - metabolism</topic><topic>Phenanthrolines</topic><topic>Positron-Emission Tomography</topic><topic>Radiopharmaceuticals</topic><topic>Surveys and Questionnaires</topic><topic>tau Proteins - metabolism</topic><topic>Tauopathies - diagnostic imaging</topic><topic>Tauopathies - metabolism</topic><topic>Temporal Lobe - diagnostic imaging</topic><topic>Temporal Lobe - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Buckley, Rachel F</creatorcontrib><creatorcontrib>Hanseeuw, Bernard</creatorcontrib><creatorcontrib>Schultz, Aaron P</creatorcontrib><creatorcontrib>Vannini, Patrizia</creatorcontrib><creatorcontrib>Aghjayan, Sarah L</creatorcontrib><creatorcontrib>Properzi, Michael J</creatorcontrib><creatorcontrib>Jackson, Jonathan D</creatorcontrib><creatorcontrib>Mormino, Elizabeth C</creatorcontrib><creatorcontrib>Rentz, Dorene M</creatorcontrib><creatorcontrib>Sperling, Reisa A</creatorcontrib><creatorcontrib>Johnson, Keith A</creatorcontrib><creatorcontrib>Amariglio, Rebecca E</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>JAMA neurology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Buckley, Rachel F</au><au>Hanseeuw, Bernard</au><au>Schultz, Aaron P</au><au>Vannini, Patrizia</au><au>Aghjayan, Sarah L</au><au>Properzi, Michael J</au><au>Jackson, Jonathan D</au><au>Mormino, Elizabeth C</au><au>Rentz, Dorene M</au><au>Sperling, Reisa A</au><au>Johnson, Keith A</au><au>Amariglio, Rebecca E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Region-Specific Association of Subjective Cognitive Decline With Tauopathy Independent of Global β-Amyloid Burden</atitle><jtitle>JAMA neurology</jtitle><addtitle>JAMA Neurol</addtitle><date>2017-12-01</date><risdate>2017</risdate><volume>74</volume><issue>12</issue><spage>1455</spage><epage>1463</epage><pages>1455-1463</pages><issn>2168-6149</issn><eissn>2168-6157</eissn><abstract>IMPORTANCE: The ability to explore associations between reports of subjective cognitive decline (SCD) and biomarkers of early Alzheimer disease (AD) pathophysiologic processes (accumulation of neocortical β-amyloid [Aβ] and tau) provides an important opportunity to understand the basis of SCD and AD risk. OBJECTIVE: To examine associations between SCD and global Aβ and tau burdens in regions of interest in clinically healthy older adults. DESIGN, SETTING, AND PARTICIPANTS: This imaging substudy of the Harvard Aging Brain Study included 133 clinically healthy older participants (Clinical Dementia Rating Scale global scores of 0) participating in the Harvard Aging Brain Study who underwent cross-sectional flortaucipir F 18 (previously known as AV 1451, T807) positron emission tomography (FTP-PET) imaging for tau and Pittsburgh compound B carbon 11–labeled PET (PiB-PET) imaging for Aβ. The following 2 regions for tau burden were identified: the entorhinal cortex, which exhibits early signs of tauopathy, and the inferior temporal region, which is more closely associated with AD-related pathologic mechanisms. Data were collected from June 11, 2012, through April 7, 2016. MAIN OUTCOMES AND MEASURES: Subjective cognitive decline was measured using a previously published method of z-transforming subscales from the Memory Functioning Questionnaire, the Everyday Cognition battery, and a 7-item questionnaire. The Aβ level was measured according to a summary distribution volume ratio of frontal, lateral temporal and parietal, and retrosplenial PiB-PET tracer uptake. The FTP-PET measures were computed as standardized uptake value ratios. Linear regression models focused on main and interactive effects of Aβ, entorhinal cortical, and inferior temporal tau on SCD, controlling for age, sex, educational attainment, and Geriatric Depression Scale score. RESULTS: Of the 133 participants, 75 (56.3%) were women and 58 (43.6%) were men; mean (SD) age was 76 (6.9) years (range, 55-90 years). Thirty-nine participants (29.3%) exhibited a high Aβ burden. Greater SCD was associated with increasing entorhinal cortical tau burden (β = 0.35; 95% CI, 0.19-.52; P &lt; .001) and Aβ burden (β = 0.24; 95% CI, 0.08-.40; P = .005), but not inferior temporal tau burden (β = 0.10; 95% CI, −0.08 to 0.28; P = .27). This association between entorhinal cortical tau burden and SCD was largely unchanged after accounting for Aβ burden (β = 0.36; 95% CI, 0.15-.58; P = .001), and no interaction influenced SCD (β = −0.36; 95% CI, −0.34 to 0.09; P = .25). An exploratory post hoc whole-brain analysis also indicated that SCD was predominantly associated with greater tau burden in the entorhinal cortex. CONCLUSIONS AND RELEVANCE: Subjective cognitive decline is indicative of accumulation of early tauopathy in the medial temporal lobe, specifically in the entorhinal cortex, and to a lesser extent, elevated global levels of Aβ. Our findings suggest multiple underlying pathways that motivate SCD that do not necessarily interact to influence SCD endorsement. As such, multiple biological factors must be considered when assessing SCD in clinically healthy older adults.</abstract><cop>United States</cop><pub>American Medical Association</pub><pmid>28973551</pmid><doi>10.1001/jamaneurol.2017.2216</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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subjects Aged
Aged, 80 and over
Amyloid beta-Peptides - metabolism
Brain - diagnostic imaging
Brain - metabolism
Carbolines
Cognitive Dysfunction - diagnostic imaging
Cognitive Dysfunction - metabolism
Cross-Sectional Studies
Diagnostic Self Evaluation
Entorhinal Cortex - diagnostic imaging
Entorhinal Cortex - metabolism
Female
Frontal Lobe - diagnostic imaging
Frontal Lobe - metabolism
Humans
Male
Middle Aged
Neocortex - diagnostic imaging
Neocortex - metabolism
Parietal Lobe - diagnostic imaging
Parietal Lobe - metabolism
Phenanthrolines
Positron-Emission Tomography
Radiopharmaceuticals
Surveys and Questionnaires
tau Proteins - metabolism
Tauopathies - diagnostic imaging
Tauopathies - metabolism
Temporal Lobe - diagnostic imaging
Temporal Lobe - metabolism
title Region-Specific Association of Subjective Cognitive Decline With Tauopathy Independent of Global β-Amyloid Burden
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