Are Empirically-Derived Subtypes of Mild Cognitive Impairment Consistent with Conventional Subtypes?
Open accessAbstract
Given the importance of identifying dementia prodromes for future treatment efforts, we examined two methods of diagnosing mild cognitive impairment (MCI) and determined whether empirically-derived MCI subtypes of these diagnostic methods were consistent with one another as well as with conventional MCI subtypes (i.e., amnestic, non-amnestic, single-domain, multi-domain). Participants were diagnosed with MCI using either conventional Petersen/Winblad criteria (n = 134; >1.5 SDs below normal on one test within a cognitive domain) or comprehensive neuropsychological criteria developed by Jak et al. (2009) (n = 80; >1 SD below normal on two tests within a domain), and the resulting samples were examined via hierarchical cluster and discriminant function analyses. Results showed that neuropsychological profiles varied depending on the criteria used to define MCI. Both criteria revealed an Amnestic subtype, consistent with prodromal Alzheimer's disease (AD), and a Mixed subtype that may capture individuals in advanced stages of MCI. The comprehensive criteria uniquely yielded Dysexecutive and Visuospatial subtypes, whereas the conventional criteria produced a subtype that performed within normal limits, suggesting its susceptibility to false positive diagnostic errors. Whether these empirically-derived MCI subtypes correspond to dissociable neuropathologic substrates and represent reliable prodromes of dementia will require additional follow-up.
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The Cluster-Derived Normal group in Clark et al. included nearly half of the 'one test' MCI sample and did not differ from a normal control group in cognition or neuroimaging measures.
“This Cluster-Derived Normal group included nearly half of the “one test” MCI sample and did not differ from a normal control group in terms of cognition or neuroimaging measures of cortical thickness in areas usually affected in MCI or AD.”
From Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates (2014) · cites this paper as [31]
Clark et al. observed amnestic and mixed MCI subtypes and a third cluster-derived normal subtype when MCI was determined using conventional 'one test' criteria.
“In contrast, when MCI had been determined using the conventional “one test” MCI criteria, Clark et al. [31] observed amnestic and mixed MCI subtypes, and a third cluster-derived normal subtype that performed within normal limits across all neuropsychological measures.”
From Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates (2014) · cites this paper as [31]
Clark et al. found that conventional 'one test' MCI criteria identified more participants as having MCI (n=134) than actuarial neuropsychological criteria (n=80).
“The conventional “one test” MCI criteria identified more participants as having MCI (n = 134) than did the actuarial neuropsychological criteria (n = 80).”
From Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates (2014) · cites this paper as [31]
One caveat of our study was the absence of assessing other cognitive domains like visuospatial functions.
“One caveat of our study was the absence of assessing other cognitive domains like that of visuospatial functions, particularly since we have previously identified a visuospatial MCI subtype [31] and Ferman et al. [19] have shown that baseline MCI diagnoses based on visuospatial deficits reliably predict development of dementia with Lewy bodies.”
From Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates (2014) · cites this paper as [31]
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- Authors
- Clark, L. R., Delano-Wood, L., Libon, D. J., McDonald, C. R., Nation, D. A., Bangen, K. J., Jak, A. J., Au, R., Salmon, D. P., & Bondi, M. W.
- Affiliations
- San Diego State University (US)
- Drexel University (US)
- UC San Diego Health System (US)
- United States Department of Veterans Affairs (US)
- Boston University (US)
- University of California San Diego (US)
- Corresponding author
- Bondi, Mark W.
- ORCID
- Venue
- Journal of the International Neuropsychological Society
- Publisher
- Cambridge University Press (CUP)
- Published
- 2013-04-03
- Volume
- 19
- Issue
- 6
- Pages
- 635-645
- ISSN
- 1355-6177 (ISSN-L)
- 1469-7661
- PMC
- PMC3742806
- OpenAlex
- W2084535048
- Cited by
- 167
- References
- 8
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 10 · 2023: 10 · 2022: 15 · 2021: 19 · 2020: 13 · 2019: 15 · 2018: 10 · 2017: 13 · 2016: 17 · 2015: 15 · 2014: 12 · 2013: 2
- FWCI
- 10.90
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Journal of the International Neuropsychological Society (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (P50AG005131, R01AG012674, K24AG026431)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Keywords
- mild cognitive impairment, MCI subtypes, amnestic MCI, executive dysfunction, visuospatial impairment, prodromal Alzheimer's disease, false-positive diagnosis
- MeSH terms
- Activities of Daily Living, Aged, Aged, 80 and over, Female, Humans, Male, Neuropsychological Tests, Cluster Analysis, Discriminant Analysis, Cognitive Dysfunction
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