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Longitudinal Trajectories of Informant-Reported Daily Functioning in Empirically Defined Subtypes of Mild Cognitive Impairment
Objectives: Within the Alzheimer’s Disease Neuroimaging Initiative (ADNI)’s mild cognitive impairment (MCI) cohort, we previously identified MCI subtypes as well as participants initially diagnosed with MCI but found to have normal neuropsychological, biomarker, and neuroimaging profiles. We investi...
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Published in: | Journal of the International Neuropsychological Society 2017-07, Vol.23 (6), p.521-527 |
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description | Objectives: Within the Alzheimer’s Disease Neuroimaging Initiative (ADNI)’s mild cognitive impairment (MCI) cohort, we previously identified MCI subtypes as well as participants initially diagnosed with MCI but found to have normal neuropsychological, biomarker, and neuroimaging profiles. We investigated the functional change over time in these empirically derived MCI subgroups. Methods: ADNI MCI participants (n=654) were classified using cluster analysis as Amnestic MCI (single-domain memory impairment), Dysnomic MCI (memory+language impairments), Dysexecutive/Mixed MCI (memory+language+attention/executive impairments), or Cluster-Derived Normal (CDN). Robust normal control participants (NCs; n=284) were also examined. The Functional Activities Questionnaire (FAQ) was administered at baseline through 48-month follow-up. Multilevel modeling examined FAQ trajectories by cognitive subgroup. Results: The Dysexecutive/Mixed group demonstrated the fastest rate of decline across all groups. Amnestic and Dysnomic groups showed steeper rates of decline than CDNs. While CDNs had more functional difficulty than NCs across visits, both groups’ mean FAQ scores remained below its suggested cutoff at all visits. Conclusions: Results (a) show the importance of executive dysfunction in the context of other impaired cognitive domains when predicting functional decline in at-risk elders, and (b) support our previous work demonstrating that ADNI’s MCI criteria may have resulted in false-positive MCI diagnoses, given the CDN’s better FAQ trajectory than those of the cognitively impaired MCI groups. (JINS, 2017, 23, 521–527) |
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We investigated the functional change over time in these empirically derived MCI subgroups. Methods: ADNI MCI participants (n=654) were classified using cluster analysis as Amnestic MCI (single-domain memory impairment), Dysnomic MCI (memory+language impairments), Dysexecutive/Mixed MCI (memory+language+attention/executive impairments), or Cluster-Derived Normal (CDN). Robust normal control participants (NCs; n=284) were also examined. The Functional Activities Questionnaire (FAQ) was administered at baseline through 48-month follow-up. Multilevel modeling examined FAQ trajectories by cognitive subgroup. Results: The Dysexecutive/Mixed group demonstrated the fastest rate of decline across all groups. Amnestic and Dysnomic groups showed steeper rates of decline than CDNs. While CDNs had more functional difficulty than NCs across visits, both groups’ mean FAQ scores remained below its suggested cutoff at all visits. Conclusions: Results (a) show the importance of executive dysfunction in the context of other impaired cognitive domains when predicting functional decline in at-risk elders, and (b) support our previous work demonstrating that ADNI’s MCI criteria may have resulted in false-positive MCI diagnoses, given the CDN’s better FAQ trajectory than those of the cognitively impaired MCI groups. (JINS, 2017, 23, 521–527)</description><identifier>ISSN: 1355-6177</identifier><identifier>EISSN: 1469-7661</identifier><identifier>DOI: 10.1017/S1355617717000285</identifier><identifier>PMID: 28487004</identifier><language>eng</language><publisher>New York, USA: Cambridge University Press</publisher><subject>Activities of Daily Living ; Aged ; Aged, 80 and over ; Alzheimer's disease ; Amnesia - epidemiology ; Amnesia - physiopathology ; Attention ; Brief Communication ; Cluster analysis ; Cognition & reasoning ; Cognitive ability ; Cognitive Dysfunction - classification ; Cognitive Dysfunction - epidemiology ; Cognitive Dysfunction - physiopathology ; Comorbidity ; Dementia ; Disease Progression ; Education ; Executive function ; Executive Function - physiology ; Female ; Geriatrics ; Gerontology ; Humans ; Language ; Language Disorders - epidemiology ; Language Disorders - physiopathology ; Male ; Memory ; Neurodegenerative diseases ; Neuroimaging ; Neuropsychology ; Older people</subject><ispartof>Journal of the International Neuropsychological Society, 2017-07, Vol.23 (6), p.521-527</ispartof><rights>Copyright © The International Neuropsychological Society 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c519t-3e50fac8052f784e0045c3044704be407578aa734b496125a431b777abec15eb3</citedby><cites>FETCH-LOGICAL-c519t-3e50fac8052f784e0045c3044704be407578aa734b496125a431b777abec15eb3</cites><orcidid>0000-0003-4277-8876</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.cambridge.org/core/product/identifier/S1355617717000285/type/journal_article$$EHTML$$P50$$Gcambridge$$H</linktohtml><link.rule.ids>230,314,780,784,885,27924,27925,72960</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28487004$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Thomas, Kelsey R.</creatorcontrib><creatorcontrib>Edmonds, Emily C.</creatorcontrib><creatorcontrib>Delano-Wood, Lisa</creatorcontrib><creatorcontrib>Bondi, Mark W.</creatorcontrib><title>Longitudinal Trajectories of Informant-Reported Daily Functioning in Empirically Defined Subtypes of Mild Cognitive Impairment</title><title>Journal of the International Neuropsychological Society</title><addtitle>J Int Neuropsychol Soc</addtitle><description>Objectives: Within the Alzheimer’s Disease Neuroimaging Initiative (ADNI)’s mild cognitive impairment (MCI) cohort, we previously identified MCI subtypes as well as participants initially diagnosed with MCI but found to have normal neuropsychological, biomarker, and neuroimaging profiles. We investigated the functional change over time in these empirically derived MCI subgroups. Methods: ADNI MCI participants (n=654) were classified using cluster analysis as Amnestic MCI (single-domain memory impairment), Dysnomic MCI (memory+language impairments), Dysexecutive/Mixed MCI (memory+language+attention/executive impairments), or Cluster-Derived Normal (CDN). Robust normal control participants (NCs; n=284) were also examined. The Functional Activities Questionnaire (FAQ) was administered at baseline through 48-month follow-up. Multilevel modeling examined FAQ trajectories by cognitive subgroup. Results: The Dysexecutive/Mixed group demonstrated the fastest rate of decline across all groups. Amnestic and Dysnomic groups showed steeper rates of decline than CDNs. While CDNs had more functional difficulty than NCs across visits, both groups’ mean FAQ scores remained below its suggested cutoff at all visits. Conclusions: Results (a) show the importance of executive dysfunction in the context of other impaired cognitive domains when predicting functional decline in at-risk elders, and (b) support our previous work demonstrating that ADNI’s MCI criteria may have resulted in false-positive MCI diagnoses, given the CDN’s better FAQ trajectory than those of the cognitively impaired MCI groups. (JINS, 2017, 23, 521–527)</description><subject>Activities of Daily Living</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Alzheimer's disease</subject><subject>Amnesia - epidemiology</subject><subject>Amnesia - physiopathology</subject><subject>Attention</subject><subject>Brief Communication</subject><subject>Cluster analysis</subject><subject>Cognition & reasoning</subject><subject>Cognitive ability</subject><subject>Cognitive Dysfunction - classification</subject><subject>Cognitive Dysfunction - epidemiology</subject><subject>Cognitive Dysfunction - physiopathology</subject><subject>Comorbidity</subject><subject>Dementia</subject><subject>Disease Progression</subject><subject>Education</subject><subject>Executive function</subject><subject>Executive Function - physiology</subject><subject>Female</subject><subject>Geriatrics</subject><subject>Gerontology</subject><subject>Humans</subject><subject>Language</subject><subject>Language Disorders - epidemiology</subject><subject>Language Disorders - physiopathology</subject><subject>Male</subject><subject>Memory</subject><subject>Neurodegenerative diseases</subject><subject>Neuroimaging</subject><subject>Neuropsychology</subject><subject>Older people</subject><issn>1355-6177</issn><issn>1469-7661</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kUFv1DAQhSMEoqXwA7igSFx6CXgSO04uSGjbwkpbIdFyjhxnEmaV2MF2Ku2F347b3VYtiJMtvW_ePPslyVtgH4CB_HgFhRAlSAmSMZZX4llyDLysM1mW8Dzeo5zd6kfJK--3jEEBjL1MjvKKV3GEHye_N9YMFJaOjBrTa6e2qIN1hD61fbo2vXWTMiH7jrN1Abv0TNG4Sy8WowNZQ2ZIyaTn00yOtBqjdIY9mQheLW3YzXufSxq7dGUHQ4FuMF1PsyI3oQmvkxe9Gj2-OZwnyY-L8-vV12zz7ct69XmTaQF1yAoUrFe6YiLvZcUxRhe6YJxLxlvkTApZKSUL3vK6hFwoXkArpVQtahDYFifJp73vvLQTdjqudmpsZkeTcrvGKmqeKoZ-NoO9aYTIeYwQDU4PBs7-WtCHZiKvcRyVQbv4Bqq6BhD8Dn3_F7q1i4vfG6kaOOexkSJSsKe0s9477B_CAGtu223-aTfOvHv8ioeJ-zojUBxM1dQ66gZ8tPu_tn8ANHOwlQ</recordid><startdate>20170701</startdate><enddate>20170701</enddate><creator>Thomas, Kelsey R.</creator><creator>Edmonds, Emily C.</creator><creator>Delano-Wood, Lisa</creator><creator>Bondi, Mark W.</creator><general>Cambridge University Press</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>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</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><orcidid>https://orcid.org/0000-0003-4277-8876</orcidid></search><sort><creationdate>20170701</creationdate><title>Longitudinal Trajectories of Informant-Reported Daily Functioning in Empirically Defined Subtypes of Mild Cognitive Impairment</title><author>Thomas, Kelsey R. ; Edmonds, Emily C. ; Delano-Wood, Lisa ; Bondi, Mark W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c519t-3e50fac8052f784e0045c3044704be407578aa734b496125a431b777abec15eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Activities of Daily Living</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Alzheimer's disease</topic><topic>Amnesia - epidemiology</topic><topic>Amnesia - physiopathology</topic><topic>Attention</topic><topic>Brief Communication</topic><topic>Cluster analysis</topic><topic>Cognition & reasoning</topic><topic>Cognitive ability</topic><topic>Cognitive Dysfunction - classification</topic><topic>Cognitive Dysfunction - epidemiology</topic><topic>Cognitive Dysfunction - physiopathology</topic><topic>Comorbidity</topic><topic>Dementia</topic><topic>Disease Progression</topic><topic>Education</topic><topic>Executive function</topic><topic>Executive Function - physiology</topic><topic>Female</topic><topic>Geriatrics</topic><topic>Gerontology</topic><topic>Humans</topic><topic>Language</topic><topic>Language Disorders - epidemiology</topic><topic>Language Disorders - physiopathology</topic><topic>Male</topic><topic>Memory</topic><topic>Neurodegenerative diseases</topic><topic>Neuroimaging</topic><topic>Neuropsychology</topic><topic>Older people</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Thomas, Kelsey R.</creatorcontrib><creatorcontrib>Edmonds, Emily C.</creatorcontrib><creatorcontrib>Delano-Wood, Lisa</creatorcontrib><creatorcontrib>Bondi, Mark W.</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>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</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)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</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>Journal of the International Neuropsychological Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Thomas, Kelsey R.</au><au>Edmonds, Emily C.</au><au>Delano-Wood, Lisa</au><au>Bondi, Mark W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Longitudinal Trajectories of Informant-Reported Daily Functioning in Empirically Defined Subtypes of Mild Cognitive Impairment</atitle><jtitle>Journal of the International Neuropsychological Society</jtitle><addtitle>J Int Neuropsychol Soc</addtitle><date>2017-07-01</date><risdate>2017</risdate><volume>23</volume><issue>6</issue><spage>521</spage><epage>527</epage><pages>521-527</pages><issn>1355-6177</issn><eissn>1469-7661</eissn><abstract>Objectives: Within the Alzheimer’s Disease Neuroimaging Initiative (ADNI)’s mild cognitive impairment (MCI) cohort, we previously identified MCI subtypes as well as participants initially diagnosed with MCI but found to have normal neuropsychological, biomarker, and neuroimaging profiles. We investigated the functional change over time in these empirically derived MCI subgroups. Methods: ADNI MCI participants (n=654) were classified using cluster analysis as Amnestic MCI (single-domain memory impairment), Dysnomic MCI (memory+language impairments), Dysexecutive/Mixed MCI (memory+language+attention/executive impairments), or Cluster-Derived Normal (CDN). Robust normal control participants (NCs; n=284) were also examined. The Functional Activities Questionnaire (FAQ) was administered at baseline through 48-month follow-up. Multilevel modeling examined FAQ trajectories by cognitive subgroup. Results: The Dysexecutive/Mixed group demonstrated the fastest rate of decline across all groups. Amnestic and Dysnomic groups showed steeper rates of decline than CDNs. While CDNs had more functional difficulty than NCs across visits, both groups’ mean FAQ scores remained below its suggested cutoff at all visits. Conclusions: Results (a) show the importance of executive dysfunction in the context of other impaired cognitive domains when predicting functional decline in at-risk elders, and (b) support our previous work demonstrating that ADNI’s MCI criteria may have resulted in false-positive MCI diagnoses, given the CDN’s better FAQ trajectory than those of the cognitively impaired MCI groups. (JINS, 2017, 23, 521–527)</abstract><cop>New York, USA</cop><pub>Cambridge University Press</pub><pmid>28487004</pmid><doi>10.1017/S1355617717000285</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0003-4277-8876</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Activities of Daily Living Aged Aged, 80 and over Alzheimer's disease Amnesia - epidemiology Amnesia - physiopathology Attention Brief Communication Cluster analysis Cognition & reasoning Cognitive ability Cognitive Dysfunction - classification Cognitive Dysfunction - epidemiology Cognitive Dysfunction - physiopathology Comorbidity Dementia Disease Progression Education Executive function Executive Function - physiology Female Geriatrics Gerontology Humans Language Language Disorders - epidemiology Language Disorders - physiopathology Male Memory Neurodegenerative diseases Neuroimaging Neuropsychology Older people |
title | Longitudinal Trajectories of Informant-Reported Daily Functioning in Empirically Defined Subtypes of Mild Cognitive Impairment |
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