Comparison of conventional and actuarial neuropsychological criteria for mild cognitive impairment in a clinical setting
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INTRODUCTION: Evidence-based practice in neuropsychology involves the use of validated tests, cutoff scores, and interpretive algorithms to identify clinically significant cognitive deficits. Recently, actuarial neuropsychological criteria (ANP) for identifying mild cognitive impairment were developed, demonstrating improved criterion validity and temporal stability compared to conventional criteria (CNP). However, benefits of the ANP criteria have not been investigated in non-research, clinical settings with varied etiologies, severities, and comorbidities. This study compared the utility of CNP and ANP criteria using data from a memory disorders clinic. METHOD: Data from 500 non-demented older adults evaluated in a Veterans Affairs Medical Center memory disorders clinic were retrospectively analyzed. We applied CNP and ANP criteria to the Repeatable Battery for the Assessment of Neuropsychological Status, compared outcomes to consensus clinical diagnoses, and conducted cluster analyses of scores from each group. RESULTS: The majority (72%) of patients met both the CNP and ANP criteria and both approaches were susceptible to confounding factors such as invalid test data and mood disturbance. However, the CNP approach mislabeled impairment in more patients with non-cognitive disorders and intact cognition. Comparatively, the ANP approach misdiagnosed patients with depression at a third of the rate and those with no diagnosis at nearly half the rate of CNP. Cluster analyses revealed groups with: 1) minimal impairment, 2) amnestic impairment, and 3) multi-domain impairment. The ANP approach yielded subgroups with more distinct neuropsychological profiles. CONCLUSIONS: We replicated previous findings that the CNP approach is over-inclusive, particularly for those determined to have no cognitive disorder by a consensus team. The ANP approach yielded fewer false positives and better diagnostic specificity than the CNP. Despite clear benefits of the ANP vs. CNP, there was substantial overlap in their performance in this heterogeneous sample. These findings highlight the critical role of clinical interpretation when wielding these empirically-derived tools.
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The study employed stringent actuarial neuropsychological criteria for aMCI that minimize false positive diagnoses to enhance diagnostic specificity and stability.
“we employed stringent actuarial neuropsychological criteria for aMCI that minimize false positive diagnoses to enhance diagnostic specificity [56] and stability [57]”
From A phase I trial of accelerated intermittent theta burst rTMS for amnestic MCI (2024) · cites this paper as [56]
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Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369 · see citing works
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,010 · see citing works
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · see citing works
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,803 · see citing works
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,003 · see citing works
Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR)
American Psychiatric Association (2000) · doi:10.1176/appi.books.9780890423349 · Cited by 11,069 · see citing works
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864 · see citing works
Current concepts in mild cognitive impairment
Petersen, R. C., Doody, R., Kurz, A., Mohs, R. C., Morris, J. C., Rabins, P. V., Ritchie, K., Rossor, M., Thal, L., & Winblad, B. (2001) · Archives of Neurology · doi:10.1001/archneur.58.12.1985 · Cited by 4,781 · see citing works
Randolph, C., Tierney, M. C., Mohr, E., & Chase, T. N. (1998) · Journal of Clinical and Experimental Neuropsychology · doi:10.1076/jcen.20.3.310.823 · Cited by 2,519 · see citing works
Evidence-based practice in psychology.
American Psychological Association (2006) · American Psychologist · doi:10.1037/0003-066x.61.4.271 · Cited by 2,478 · see citing works
Mild Cognitive Impairment as a Clinical Entity and Treatment Target
Petersen, R. C., & Morris, J. C. (2005) · Archives of Neurology · doi:10.1001/archneur.62.7.1160 · Cited by 935 · see citing works
Quantification of Five Neuropsychological Approaches to Defining Mild Cognitive Impairment
Jak, A. J., Bondi, M. W., Delano-Wood, L., Wierenga, C., Corey-Bloom, J., Salmon, D. P., & Delis, D. C. (2009) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e31819431d5 · Cited by 823 · see citing works
Bondi, M. W., Initiative, F. T. A. D. N., Edmonds, E. C., Jak, A. J., Clark, L. R., Delano-Wood, L., McDonald, C. R., Nation, D. A., Libon, D. J., Au, R., et al. (2014) · Journal of Alzheimer's Disease · doi:10.3233/jad-140276 · Cited by 750 · see citing works
The Clinical Neuropsychologist
(2013) · The Clinical Neuropsychologist · doi:10.1080/13854046.2013.852397 · Cited by 588 · see citing works
Tombaugh, T. N. (1997) · Psychological Assessment · doi:10.1037/1040-3590.9.3.260 · Cited by 582 · see citing works
Rabin, L. A., Paolillo, E., & Barr, W. B. (2016) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acw007 · Cited by 448 · see citing works
Guilmette, T. J., Sweet, J. J., Hebben, N., Attix, D. K., Mahone, E. M., Spiegler, B. J., Stucky, K. J., Westerveld, M., & Participants, C. (2020) · The Clinical Neuropsychologist · doi:10.1080/13854046.2020.1722244 · Cited by 382 · see citing works
Tranel, D. (1992) · Psychiatric Clinics of North America · doi:10.1016/s0193-953x(18)30237-5 · Cited by 346 · see citing works
Neuropsychologists’ Validity Testing Beliefs and Practices: A Survey of North American Professionals
Martin, P. K., Schroeder, R. W., & Odland, A. P. (2015) · The Clinical Neuropsychologist · doi:10.1080/13854046.2015.1087597 · Cited by 341 · see citing works
Conceptual and Measurement Challenges in Research on Cognitive Reserve
Jones, R. N., Manly, J., Glymour, M., Rentz, D., Jefferson, A. L., & Stern, Y. (2011) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617710001748 · Cited by 320 · see citing works
Edmonds, E. C., Delano‐Wood, L., Clark, L. R., Jak, A. J., Nation, D. A., McDonald, C. R., Libon, D. J., Au, R., Galasko, D., Salmon, D. P., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.03.005 · Cited by 256 · see citing works
Duff, K. M., Humphreys‐Clark, J. D., O’Bryant, S. E., Mold, J. W., Schiffer, R. B., & Sutker, P. B. (2008) · Archives of Clinical Neuropsychology · doi:10.1016/j.acn.2008.06.004 · Cited by 227 · see citing works
Martin, P. K., Schroeder, R. W., Olsen, D. H., Maloy, H., Boettcher, A. C., Ernst, N., & Okut, H. (2019) · The Clinical Neuropsychologist · doi:10.1080/13854046.2019.1637027 · Cited by 216 · see citing works
Almeida, J., Barbosa, L. M. S., Pais, A. A. C. C., & Formosinho, S. J. (2007) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/j.chemolab.2007.01.005 · Cited by 213 · see citing works
Denning, J. H. (2012) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acs044 · Cited by 190 · see citing works
Advantages and Disadvantages of Separate Norms for African Americans
Manly, J. J. (2005) · The Clinical Neuropsychologist · doi:10.1080/13854040590945346 · Cited by 184 · see citing works
Are Empirically-Derived Subtypes of Mild Cognitive Impairment Consistent with Conventional Subtypes?
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. (2013) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617713000313 · Cited by 167 · see citing works
Base Rates of Invalid Test Performance Across Clinical Non-forensic Contexts and Settings
Martin, P. K., & Schroeder, R. W. (2020) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acaa017 · Cited by 151 · see citing works
Jak, A. J., Preis, S. R., Beiser, A., Seshadri, S. S., Wolf, P. A., Bondi, M. W., & Au, R. (2016) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617716000199 · Cited by 147 · see citing works
Base Rates of “Impaired” Neuropsychological Test Performance Among Healthy Older Adults
Palmer, B. (1998) · Archives of Clinical Neuropsychology · doi:10.1016/s0887-6177(97)00037-1 · Cited by 142 · see citing works
Karantzoulis, S., Novitski, J., Gold, M., & RANDOLPH, C. C. (2013) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/act057 · Cited by 120 · see citing works
Analyzing the subcortical dementia syndrome of Parkinson's disease using the RBANS
Beatty, W. W., Ryder, K., Gontkovsky, S. T., SCOTT, J., McSwan, K. L., & Bharucha, K. J. (2003) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/18.5.509 · Cited by 118 · see citing works
Duff, K., Hobson, V. L., Beglinger, L. J., & O’Bryant, S. E. (2010) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acq045 · Cited by 111 · see citing works
Evidence-Based Research and Practice in Clinical Neuropsychology
Chelune, G. J. (2008) · The Clinical Neuropsychologist · doi:10.1080/13854040802360574 · Cited by 96 · see citing works
Edmonds, E. C., Initiative, A. D. N., Delano‐Wood, L., Jak, A. J., Galasko, D. R., Salmon, D. P., & Bondi, M. W. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150986 · Cited by 91 · see citing works
Howe, L. L. S., Anderson, A. L., KAUFMAN, D., Sachs, B. C., & Loring, D. W. (2007) · Archives of Clinical Neuropsychology · doi:10.1016/j.acn.2007.06.003 · Cited by 88 · see citing works
Heterogeneous cortical atrophy patterns in MCI not captured by conventional diagnostic criteria
Edmonds, E. C., Eppig, J. S., Bondi, M. W., Leyden, K. M., Goodwin, B., Delano‐Wood, L., McDonald, C. R., & Initiative, A. D. N. (2016) · Neurology · doi:10.1212/wnl.0000000000003326 · Cited by 84 · see citing works
Regression-based formulas for predicting change in RBANS subtests with older adults
Duff, K. M., Schoenberg, M. R., PATTON, D., Paulsen, J. S., Bayless, J. D., Mold, J. W., SCOTT, J., & ADAMS, R. (2004) · Archives of Clinical Neuropsychology · doi:10.1016/j.acn.2004.07.007 · Cited by 66 · see citing works
Thomas, K. R., Edmonds, E. C., Eppig, J. S., Wong, C. G., Weigand, A. J., Bangen, K. J., Jak, A. J., Delano‐Wood, L., Galasko, D. R., Salmon, D. P., et al. (2019) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2019.06.4948 · Cited by 65 · see citing works
Bangen, K. J., Initiative, F. T. A. D. N., Clark, A. L., Werhane, M., Edmonds, E. C., Nation, D. A., Evangelista, N., Libon, D. J., Bondi, M. W., & Delano-Wood, L. (2016) · Journal of Alzheimer's Disease · doi:10.3233/jad-150900 · Cited by 51 · see citing works
Predicting change with the RBANS in a community dwelling elderly sample
Duff, K. M., Schoenberg, M. R., Patton, D. E., Mold, J. W., SCOTT, J. G., & Adams, R. L. (2004) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617704106048 · Cited by 50 · see citing works
Barker, M. D., Horner, M. D., & Bachman, D. (2010) · The Clinical Neuropsychologist · doi:10.1080/13854046.2010.486009 · Cited by 38 · see citing works
Self-citationNeuropsychological Criteria for Mild Cognitive Impairment in the Framingham Heart Study’s Old-Old
Wong, C. G., Thomas, K. R., Edmonds, E. C., Weigand, A. J., Bangen, K. J., Eppig, J. S., Jak, A. J., Devine, S., Delano‐Wood, L., Libon, D. J., et al. (2018) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000493541 · Cited by 37 · see citing works
ABBREVIATED FORM OF THE TEST OF MEMORY MALINGERING
Horner, M. D., Bedwell, J. S., & DUONG, A. (2006) · International Journal of Neuroscience · doi:10.1080/00207450500514029 · Cited by 36 · see citing works
Self-citationMcCormick, C. L., Yoash-Gantz, R. E., McDonald, S. D., Campbell, T. C., & Tupler, L. A. (2013) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/act050 · Cited by 34 · see citing works
Neuroimaging in the Clinical Diagnosis of Dementia: Observations from a Memory Disorders Clinic
Borghesani, P. R., DeMers, S. M., Manchanda, V., Pruthi, S., Lewis, D. H., & Soo Borson, B. (2010) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2010.02975.x · Cited by 31 · see citing works
McDermott, A. T., & DeFilippis, N. A. (2010) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acq028 · Cited by 19 · see citing works
A comparison of four embedded validity indices for the RBANS in a memory disorders clinic.
Paulson, D., Horner, M., & Bachman, D. (2015) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acv009 · Cited by 17 · see citing works
Self-citationRBANS Cluster Profiles in a Geriatric Community-Dwelling Sample
Thaler, N. S., Scott, J. G., Duff, K. M., Mold, J. W., & Adams, R. L. (2013) · The Clinical Neuropsychologist · doi:10.1080/13854046.2013.783121 · Cited by 7 · see citing works
Evidence-Based Practice in Clinical Neuropsychology
Sweet, J. J., Goldman, D. J., & Breting, L. M. G. (2017) · Taylor & Francis eBooks · doi:10.4324/9781315271743-43 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- Bowden SC (2017). Neuropsychological Assessment in the Age of Evidence-based Practice: Diagnostic and Treatment Evaluations. Oxford University Press.
- Institute of Medicine. (2001). Crossing the quality chasm: A new health care system for the 21st century. Washington, DC: National Academy Press.
Cited by
Sorted by citations
Recent Advances in Neuropsychological Test Interpretation for Clinical Practice
Kiselica, A. M., Karr, J. E., Mikula, C. M., Ranum, R. M., Benge, J. F., Medina, L. D., & Woods, S. P. (2023) · Neuropsychology Review · doi:10.1007/s11065-023-09596-1 · Cited by 64 · see citing works
A phase I trial of accelerated intermittent theta burst rTMS for amnestic MCI
Aghamoosa, S., Lopez, J., Rbeiz, K., Fleischmann, H. H., Horn, O., Madden, K., Caulfield, K. A., Antonucci, M. U., Revuelta, G., McTeague, L. M., et al. (2024) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2023-332680 · Cited by 12 · see citing works
Self-citationThe prevalence of mild cognitive impairment in Gulf War veterans: a follow-up study
Chao, L. L., Sullivan, K. A., Krengel, M., Killiany, R., Steele, L., Klimas, N. G., & Koo, B. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1301066 · Cited by 11 · see citing works
A Critical Review of Neuropsychological Actuarial Criteria for Mild Cognitive Impairment
Carlew, A. R., Kaser, A. N., Schaffert, J., Goette, W. F., Lacritz, L. H., & Rossetti, H. C. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-220805 · Cited by 10 · see citing works
Aghamoosa, S., Nolin, S. A., Chen, A. A., Caulfield, K. A., Lopez, J., Rbeiz, K., Fleischmann, H. H., Horn, O., Madden, K., Antonucci, M., et al. (2025) · Brain Stimulation · doi:10.1016/j.brs.2025.04.012 · Cited by 6 · see citing works
Self-citationFountain‐Zaragoza, S., Horn, O., Thorn, K. E., Kraal, A. Z., & Benitez, A. M. (2023) · The Journal of Prevention of Alzheimer s Disease · doi:10.14283/jpad.2023.19 · Cited by 2 · see citing works
Self-citationCarlew, A. R., Goette, W. F., Schaffert, J., Rossetti, H. C., & Lacritz, L. H. (2025) · The Clinical Neuropsychologist · doi:10.1080/13854046.2025.2479013 · Cited by 1 · see citing works
Aghamoosa, S., Sims, S. A., Chen, A. A., Caulfield, K. A., Lopez, J. W., Rbeiz, K. S., Fleischmann, H. H., Horn, O., Antonucci, M. U., Revuelta, G. J., et al. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5067527
Self-citationCloud, J. A., Howe, I., Kraemer, W. J., Volek, J. S., Hayes, J. P., & Hayes, S. M. (2026) · Scientific Reports · doi:10.1038/s41598-026-43466-z
Kessels, R. P. C., Buunk, A. M., Hermans, N., Nys, G. M. S., van den Berg, E., & Hendriks, M. P. H. (2026) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617726101908
Eshghi, M., Rong, P., Dadgostar, M., Shin, H., Richburg, B. D., Barnett, N. V., Salat, D. H., Arnold, S. E., & Green, J. R. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1740391 · Cited by 4 · see citing works
Davis, A. (2026) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/acag078
- Authors
- Fountain-Zaragoza, S., Braun, S. E., Horner, M. D., & Benitez, A.
- Affiliations
- Department of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA
- Virginia Commonwealth University (US)
- Medical University of South Carolina (US)
- Venue
- Journal of Clinical and Experimental Neuropsychology
- Publisher
- Informa UK Limited
- Published
- 2021-08-09
- Volume
- 43
- Issue
- 7
- Pages
- 753-765
- ISSN
- 0165-0475 (ISSN-L)
- 1380-3395
- 1744-411X
- PMC
- PMC8881966
- OpenAlex
- W4200478201
- Cited by
- 12
- References
- 51
- Citations by year
- 2026: 4 · 2025: 3 · 2024: 2 · 2023: 2 · 2022: 1
- FWCI
- 0.90
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Clinical and Experimental Neuropsychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- no funding
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
- Keywords
- mild cognitive impairment, diagnostic specificity, false positives, older adults, neuropsychological profile, clinical interpretation
- MeSH terms
- Aged, Cognition, Cognition Disorders, Humans, Neuropsychological Tests, Retrospective Studies, Cognitive Dysfunction
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