Early versus late MCI: Improved MCI staging using a neuropsychological approach
The Alzheimer's Disease Neuroimaging Initiative (ADNI) separates “early” and “late” mild cognitive impairment (MCI) based on a single memory test. We compared ADNI's MCI classifications to our neuropsychological approach, which more broadly assesses cognitive abilities. Three hundred thirt...
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| Veröffentlicht in: | Alzheimer's & dementia 2019-05, Vol.15 (5), p.699-708 |
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| creator | Edmonds, Emily C. McDonald, Carrie R. Marshall, Anisa Thomas, Kelsey R. Eppig, Joel Weigand, Alexandra J. Delano-Wood, Lisa Galasko, Douglas R. Salmon, David P. Bondi, Mark W. |
| description | The Alzheimer's Disease Neuroimaging Initiative (ADNI) separates “early” and “late” mild cognitive impairment (MCI) based on a single memory test. We compared ADNI's MCI classifications to our neuropsychological approach, which more broadly assesses cognitive abilities.
Three hundred thirty-six ADNI-2 participants were classified as “early” or “late” MCI. Cluster analysis was performed on neuropsychological test data, and participants were reclassified based on cluster results. These two staging approaches were compared on progression rates, cerebrospinal fluid biomarkers, and cortical thickness profiles.
There was little correspondence between the two staging methods. ADNI's early MCI group included a large proportion of false-positive diagnostic errors. The reclassified neuropsychological MCI groups showed steeper survival curves and more abnormal biomarkers.
Our novel neuropsychological approach improved the staging of MCI by (1) capturing individuals at an early symptomatic stage, (2) minimizing false-positive cases, and (3) identifying a late MCI group further along the disease trajectory. |
| doi_str_mv | 10.1016/j.jalz.2018.12.009 |
| format | Article |
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Three hundred thirty-six ADNI-2 participants were classified as “early” or “late” MCI. Cluster analysis was performed on neuropsychological test data, and participants were reclassified based on cluster results. These two staging approaches were compared on progression rates, cerebrospinal fluid biomarkers, and cortical thickness profiles.
There was little correspondence between the two staging methods. ADNI's early MCI group included a large proportion of false-positive diagnostic errors. The reclassified neuropsychological MCI groups showed steeper survival curves and more abnormal biomarkers.
Our novel neuropsychological approach improved the staging of MCI by (1) capturing individuals at an early symptomatic stage, (2) minimizing false-positive cases, and (3) identifying a late MCI group further along the disease trajectory.</description><identifier>ISSN: 1552-5260</identifier><identifier>EISSN: 1552-5279</identifier><identifier>DOI: 10.1016/j.jalz.2018.12.009</identifier><identifier>PMID: 30737119</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Aged ; Alzheimer's disease ; Biomarkers - cerebrospinal fluid ; Cluster Analysis ; Cognitive Dysfunction - diagnosis ; Dementia ; Diagnostic Errors - prevention & control ; Disease Progression ; Early-stage MCI ; False positive ; Female ; Humans ; Late-stage MCI ; Male ; Mild cognitive impairment ; Misdiagnosis ; Neuroimaging ; Neuropsychological Tests - statistics & numerical data ; Neuropsychology</subject><ispartof>Alzheimer's & dementia, 2019-05, Vol.15 (5), p.699-708</ispartof><rights>2018</rights><rights>2019 The Alzheimer's Association</rights><rights>Published by Elsevier Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5249-a89256abc5e076bb7cf9ab27c598f940869b7e02628e538bb8e8ff5888b0930b3</citedby><cites>FETCH-LOGICAL-c5249-a89256abc5e076bb7cf9ab27c598f940869b7e02628e538bb8e8ff5888b0930b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1016%2Fj.jalz.2018.12.009$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1016%2Fj.jalz.2018.12.009$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30737119$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Edmonds, Emily C.</creatorcontrib><creatorcontrib>McDonald, Carrie R.</creatorcontrib><creatorcontrib>Marshall, Anisa</creatorcontrib><creatorcontrib>Thomas, Kelsey R.</creatorcontrib><creatorcontrib>Eppig, Joel</creatorcontrib><creatorcontrib>Weigand, Alexandra J.</creatorcontrib><creatorcontrib>Delano-Wood, Lisa</creatorcontrib><creatorcontrib>Galasko, Douglas R.</creatorcontrib><creatorcontrib>Salmon, David P.</creatorcontrib><creatorcontrib>Bondi, Mark W.</creatorcontrib><creatorcontrib>Alzheimer's Disease Neuroimaging Initiative</creatorcontrib><title>Early versus late MCI: Improved MCI staging using a neuropsychological approach</title><title>Alzheimer's & dementia</title><addtitle>Alzheimers Dement</addtitle><description>The Alzheimer's Disease Neuroimaging Initiative (ADNI) separates “early” and “late” mild cognitive impairment (MCI) based on a single memory test. We compared ADNI's MCI classifications to our neuropsychological approach, which more broadly assesses cognitive abilities.
Three hundred thirty-six ADNI-2 participants were classified as “early” or “late” MCI. Cluster analysis was performed on neuropsychological test data, and participants were reclassified based on cluster results. These two staging approaches were compared on progression rates, cerebrospinal fluid biomarkers, and cortical thickness profiles.
There was little correspondence between the two staging methods. ADNI's early MCI group included a large proportion of false-positive diagnostic errors. The reclassified neuropsychological MCI groups showed steeper survival curves and more abnormal biomarkers.
Our novel neuropsychological approach improved the staging of MCI by (1) capturing individuals at an early symptomatic stage, (2) minimizing false-positive cases, and (3) identifying a late MCI group further along the disease trajectory.</description><subject>Aged</subject><subject>Alzheimer's disease</subject><subject>Biomarkers - cerebrospinal fluid</subject><subject>Cluster Analysis</subject><subject>Cognitive Dysfunction - diagnosis</subject><subject>Dementia</subject><subject>Diagnostic Errors - prevention & control</subject><subject>Disease Progression</subject><subject>Early-stage MCI</subject><subject>False positive</subject><subject>Female</subject><subject>Humans</subject><subject>Late-stage MCI</subject><subject>Male</subject><subject>Mild cognitive impairment</subject><subject>Misdiagnosis</subject><subject>Neuroimaging</subject><subject>Neuropsychological Tests - statistics & numerical data</subject><subject>Neuropsychology</subject><issn>1552-5260</issn><issn>1552-5279</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkLtOwzAUhi0E4v4CDCgjS4Pt1LGNWKqKS1FRF1hYLNs9Ka7cpthNUXl6HKUwIpbji77zn6MPoQuCc4JJeT3P59p_5RQTkROaYyz30DFhjPYY5XL_917iI3QS4xzjPhaEHaKjAvOCEyKP0eROB7_NNhBiEzOv15A9D0c32WixCvUGpu0ri2s9c8tZ1sS26mwJTahXcWvfa1_PnNU-06vEa_t-hg4q7SOc785T9Hp_9zJ87I0nD6PhYNyzjPZlTwtJWamNZYB5aQy3ldSGcsukqGRas5SGA6YlFcAKYYwAUVVMCGGwLLApTtFVl5vGfjQQ12rhogXv9RLqJipKcb8UXHCSUNqhNtQxBqjUKriFDltFsGpFqrlqRapWpCJUJZGp6XKX35gFTH9bfswlYNABn87D9h-RajB-e3pKpf0jtBty22VAMrVxEFS0DpYWpi6AXatp7f7a8Rs6H5dz</recordid><startdate>201905</startdate><enddate>201905</enddate><creator>Edmonds, Emily C.</creator><creator>McDonald, Carrie R.</creator><creator>Marshall, Anisa</creator><creator>Thomas, Kelsey R.</creator><creator>Eppig, Joel</creator><creator>Weigand, Alexandra J.</creator><creator>Delano-Wood, Lisa</creator><creator>Galasko, Douglas R.</creator><creator>Salmon, David P.</creator><creator>Bondi, Mark W.</creator><general>Elsevier 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>7X8</scope></search><sort><creationdate>201905</creationdate><title>Early versus late MCI: Improved MCI staging using a neuropsychological approach</title><author>Edmonds, Emily C. ; McDonald, Carrie R. ; Marshall, Anisa ; Thomas, Kelsey R. ; Eppig, Joel ; Weigand, Alexandra J. ; Delano-Wood, Lisa ; Galasko, Douglas R. ; Salmon, David P. ; Bondi, Mark W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5249-a89256abc5e076bb7cf9ab27c598f940869b7e02628e538bb8e8ff5888b0930b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Aged</topic><topic>Alzheimer's disease</topic><topic>Biomarkers - cerebrospinal fluid</topic><topic>Cluster Analysis</topic><topic>Cognitive Dysfunction - diagnosis</topic><topic>Dementia</topic><topic>Diagnostic Errors - prevention & control</topic><topic>Disease Progression</topic><topic>Early-stage MCI</topic><topic>False positive</topic><topic>Female</topic><topic>Humans</topic><topic>Late-stage MCI</topic><topic>Male</topic><topic>Mild cognitive impairment</topic><topic>Misdiagnosis</topic><topic>Neuroimaging</topic><topic>Neuropsychological Tests - statistics & numerical data</topic><topic>Neuropsychology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Edmonds, Emily C.</creatorcontrib><creatorcontrib>McDonald, Carrie R.</creatorcontrib><creatorcontrib>Marshall, Anisa</creatorcontrib><creatorcontrib>Thomas, Kelsey R.</creatorcontrib><creatorcontrib>Eppig, Joel</creatorcontrib><creatorcontrib>Weigand, Alexandra J.</creatorcontrib><creatorcontrib>Delano-Wood, Lisa</creatorcontrib><creatorcontrib>Galasko, Douglas R.</creatorcontrib><creatorcontrib>Salmon, David P.</creatorcontrib><creatorcontrib>Bondi, Mark W.</creatorcontrib><creatorcontrib>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>MEDLINE - Academic</collection><jtitle>Alzheimer's & dementia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Edmonds, Emily C.</au><au>McDonald, Carrie R.</au><au>Marshall, Anisa</au><au>Thomas, Kelsey R.</au><au>Eppig, Joel</au><au>Weigand, Alexandra J.</au><au>Delano-Wood, Lisa</au><au>Galasko, Douglas R.</au><au>Salmon, David P.</au><au>Bondi, Mark W.</au><aucorp>Alzheimer's Disease Neuroimaging Initiative</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Early versus late MCI: Improved MCI staging using a neuropsychological approach</atitle><jtitle>Alzheimer's & dementia</jtitle><addtitle>Alzheimers Dement</addtitle><date>2019-05</date><risdate>2019</risdate><volume>15</volume><issue>5</issue><spage>699</spage><epage>708</epage><pages>699-708</pages><issn>1552-5260</issn><eissn>1552-5279</eissn><abstract>The Alzheimer's Disease Neuroimaging Initiative (ADNI) separates “early” and “late” mild cognitive impairment (MCI) based on a single memory test. We compared ADNI's MCI classifications to our neuropsychological approach, which more broadly assesses cognitive abilities.
Three hundred thirty-six ADNI-2 participants were classified as “early” or “late” MCI. Cluster analysis was performed on neuropsychological test data, and participants were reclassified based on cluster results. These two staging approaches were compared on progression rates, cerebrospinal fluid biomarkers, and cortical thickness profiles.
There was little correspondence between the two staging methods. ADNI's early MCI group included a large proportion of false-positive diagnostic errors. The reclassified neuropsychological MCI groups showed steeper survival curves and more abnormal biomarkers.
Our novel neuropsychological approach improved the staging of MCI by (1) capturing individuals at an early symptomatic stage, (2) minimizing false-positive cases, and (3) identifying a late MCI group further along the disease trajectory.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>30737119</pmid><doi>10.1016/j.jalz.2018.12.009</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Aged Alzheimer's disease Biomarkers - cerebrospinal fluid Cluster Analysis Cognitive Dysfunction - diagnosis Dementia Diagnostic Errors - prevention & control Disease Progression Early-stage MCI False positive Female Humans Late-stage MCI Male Mild cognitive impairment Misdiagnosis Neuroimaging Neuropsychological Tests - statistics & numerical data Neuropsychology |
| title | Early versus late MCI: Improved MCI staging using a neuropsychological approach |
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