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When wrong answers lead us down the right path

Published online by Cambridge University Press:  01 October 2021

Kelsey R. Thomas*
Affiliation:
Research Service, VA San Diego Healthcare System, San Diego, California, USA Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, California, USA
Rhoda Au
Affiliation:
Department of Anatomy and Neurobiology, Neurology and Epidemiology, Boston University Schools of Medicine and Public Health, Boston, Massachusetts, USA

Abstract

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Type
Commentary
Copyright
© International Psychogeriatric Association 2021

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References

Bondi, M. W., Monsch, A. U., Galasko, D., Butters, N., Salmon, D. P. and Delis, D. C. (1994). Preclinical cognitive markers of dementia of the Alzheimer type. Neuropsychology, 8, 374384. DOI 10.1037/0894-4105.8.3.374.CrossRefGoogle Scholar
Brier, M. R., et al. (2016). Tau and Aβ imaging, CSF measures, and cognition in Alzheimer’s disease. Science Translational Medicine, 8, 338ra66. DOI 10.1126/scitranslmed.aaf2362.CrossRefGoogle ScholarPubMed
Cid, R. E. C. et al. (2019). A cognitive stress test for prodromal Alzheimer’s disease: multiethnic generalizability. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 11, 550559. DOI 10.1016/j.dadm.2019.05.003.Google Scholar
Crocco, E. A., et al. (2021). Intrusion errors and progression of cognitive deficits in older adults with mild cognitive impairment and PreMCI states. Dementia and Geriatric Cognitive Disorders, 50, 135142. DOI 10.1159/000512804.CrossRefGoogle ScholarPubMed
Delis, D. C., Massman, P. J., Butters, N., Salmon, D. P., Cermak, L. S. and Kramer, J. H. (1991). Profiles of demented and amnesic patients on the California Verbal Learning Test: implications for the assessment of memory disorders. Psychological Assessment: A Journal of Consulting and Clinical Psychology, 3, 1926.CrossRefGoogle Scholar
Grober, E. and Kawas, C. (1997). Learning and retention in preclinical and early Alzheimer’s disease. Psychology and Aging, 12, 183188. DOI 10.1037/0882-7974.12.1.183.Google ScholarPubMed
Jack, C. R. et al. (2010). Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade. The Lancet Neurology, 9, 119128. DOI 10.1016/S1474-4422(09)70299-6.CrossRefGoogle ScholarPubMed
Jack, C. R. et al. (2018). NIA-AA research framework: toward a biological definition of Alzheimer’s disease. Alzheimer’s & Dementia, 14, 535562. DOI 10.1016/j.jalz.2018.02.018.CrossRefGoogle Scholar
Jedynak, B. M. et al. (2012). A computational neurodegenerative disease progression score: method and results with the Alzheimer’s disease neuroimaging initiative cohort. NeuroImage, 63, 14781486. DOI 10.1016/j.neuroimage.2012.07.059.CrossRefGoogle ScholarPubMed
Kaplan, E. (1988). The process approach to neuropsychological assessment. Aphasiology, 2, 309311. DOI 10.1080/02687038808248930.CrossRefGoogle Scholar
Loewenstein, D. A., Acevedo, A., Luis, C., Crum, T., Barker, W. W. and Duara, R. (2004). Semantic interference deficits and the detection of mild Alzheimer’s disease and mild cognitive impairment without dementia. Journal of the International Neuropsychological Society, 10, 91100. DOI 10.1017/S1355617704101112.CrossRefGoogle ScholarPubMed
Loewenstein, D. A. et al. (2018). Utilizing semantic intrusions to identify amyloid positivity in mild cognitive impairment. Neurology, 91, e976e984.CrossRefGoogle ScholarPubMed
Loewenstein, D. A. et al. (2016). A novel cognitive stress test for the detection of preclinical Alzheimer disease: discriminative properties and relation to amyloid load. The American Journal of Geriatric Psychiatry, 24, 804813. DOI 10.1016/j.jagp.2016.02.056.CrossRefGoogle ScholarPubMed
Matías-Guiu, J. A. et al. (2017). Validation of the Spanish version of the LASSI-L for diagnosing mild cognitive impairment and Alzheimer’s disease. Journal of Alzheimer’s Disease, 56, 733742. DOI 10.3233/JAD-160866.CrossRefGoogle ScholarPubMed
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D. and Stadlan, E. M. (1984). Clinical diagnosis of Alzheimer’s disease: Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology, 34, 939939.CrossRefGoogle ScholarPubMed
O’Shea, D. M. et al. (2021). Adding cognition to AT(N) models improves prediction of cognitive and functional decline. Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 13, e12174. DOI 10.1002/dad2.12174.Google Scholar
Salmon, D. P. and Bondi, M. W. (2009). Neuropsychological assessment of dementia. Annual Review of Psychology, 60, 257282. DOI 10.1146/annurev.psych.57.102904.190024.CrossRefGoogle ScholarPubMed
Thomas, K. R. et al. (2020). Objective subtle cognitive difficulties predict future amyloid accumulation and neurodegeneration. Neurology, 94, e397e406. DOI 10.1212/WNL.0000000000008838.CrossRefGoogle ScholarPubMed
Thomas, K. R. et al. (2018). Word-list intrusion errors predict progression to mild cognitive impairment. Neuropsychology, 32, 235245. DOI 10.1037/neu0000413.CrossRefGoogle ScholarPubMed
Zheng, D. D., Curiel, R. E., Duara, R., Kitaigorodsky, M., Crocco, E. and Loewenstein, D. A. (2021). Semantic intrusion errors as a function of age, amyloid, and volumetric loss: a confirmatory path analysis. International Psychogeriatrics.CrossRefGoogle Scholar