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Preclinical prediction of AD using neuropsychological tests
Abstract
Normals (N = 42) and patients with mild memory difficulty (N = 123) were given a neuropsychological test battery, and then followed annually for 3 years to determine which individuals developed sufficient functional change that they met clinical criteria for AD. Twenty-three of the 123 participants with mild memory difficulty converted to a diagnosis of probable Alzheimer's disease (AD) within 3 years of follow-up. Four of the 20 neuropsychological measures obtained at baseline, were useful in discriminating the groups on the basis of their status 3 years after the tests were given. The 4 discriminating tests pertained to assessments of memory and executive function. When the controls were compared to the individuals with memory impairments who ultimately developed AD (the converters), the accuracy of discrimination was 89%, based on the neuropsychological measures at baseline. The discrimination of the controls from the individuals with mild memory problems who did not progress to the point where they met clinical criteria for probable AD over the 3 years of follow-up (the Questionables) was 74% and the discrimination of the questionables from the converters was 80%. The specific tests that contributed to these discriminations, in conjunction with recent neuropathological and neuroimaging data from preclinical cases, have implications for which brain regions may be affected during the prodromal phase of AD. (JINS, 2001, 7, 631–639.)
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Cites
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
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
Studies of interference in serial verbal reactions
Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Alzheimer's disease: cell-specific pathology isolates the hippocampal formation.
Hyman, B. T., Van Hoesen, G. W., Damasio, A. R., & Barnes, C. L. (1984) · Science · doi:10.1126/science.6474172 · Cited by 2,268
Profound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease
Gómez-Isla, T., Price, J. L., McKeel Jr., D. W., Morris, J. C., Growdon, J. H., & Hyman, B. T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-14-04491.1996 · Cited by 1,796 · cited 3×
“, the neurofibrillary tangles and neuritic plaques) develop in the entorhinal cortex, a portion of the anterior parahippocampal gyrus which receives projections from widespread limbic and association areas and gives rise to the perforant pathway, the major cortical excitatory input to the hippocampus itself (Gomez-Isl…”
BackgroundInfluentialMild cognitive impairment in the elderly: Predictors of dementia
Flicker, C., Ferris, S. H., & Reisberg, B. (1991) · Neurology · doi:10.1212/wnl.41.7.1006 · Cited by 838
Ball, M. J. (1977) · Acta Neuropathologica · doi:10.1007/bf00692056 · Cited by 639
Utility of the Apolipoprotein E Genotype in the Diagnosis of Alzheimer's Disease
Mayeux, R., Saunders, A. M., Shea, S., Mirra, S., Evans, D., Roses, A. D., Hyman, B. T., Crain, B., Tang, M.-X., & Phelps, C. H. (1998) · New England Journal of Medicine · doi:10.1056/nejm199802193380804 · Cited by 547
Preclinical prediction of Alzheimer's disease using SPECT
Johnson, K. A., Jones, K., Holman, B. L., Becker, J. A., Spiers, P. A., Satlin, A., & Albert, M. S. (1998) · Neurology · doi:10.1212/wnl.50.6.1563 · Cited by 471
Self-citation
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Cognitive impairment in preclinical Alzheimer's disease: a meta-analysis
Bäckman, L., Jones, S., Berger, A.-K., Laukka, E. J., & Small, B. J. (2005) · Neuropsychology · doi:10.1037/0894-4105.19.4.520 · Cited by 735
Jack, C. R., Knopman, D. S., Weigand, S. D., Wiste, H. J., Vemuri, P., Lowe, V., Kantarci, K., Gunter, J. L., Senjem, M. L., Ivnik, R. J., et al. (2012) · Annals of Neurology · doi:10.1002/ana.22628 · Cited by 602
Implementation of subjective cognitive decline criteria in research studies
Molinuevo, J. L., Rabin, L. A., Amariglio, R., Buckley, R., Dubois, B., Ellis, K. A., Ewers, M., Hampel, H., Klöppel, S., Rami, L., et al. (2017) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.09.012 · Cited by 575
Language performance in Alzheimer's disease and mild cognitive impairment: A comparative review
Taler, V., & Phillips, N. A. (2008) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803390701550128 · Cited by 529
Subjective cognitive complaints and amyloid burden in cognitively normal older individuals
Amariglio, R. E., Becker, J. A., Carmasin, J., Wadsworth, L. P., Lorius, N., Sullivan, C., Maye, J. E., Gidicsin, C., Pepin, L. C., Sperling, R. A., et al. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.08.011 · Cited by 472
fMRI evidence of compensatory mechanisms in older adults at genetic risk for Alzheimer disease
Bondi, M. W., Houston, W. S., Eyler, L. T., & Brown, G. G. (2005) · Neurology · doi:10.1212/01.wnl.0000150885.00929.7e · Cited by 372
Longitudinal volumetric MRI change and rate of cognitive decline
Mungas, D., Harvey, D., Reed, B. R., Jagust, W. J., DeCarli, C., Beckett, L., Mack, W. J., Kramer, J. H., Weiner, M. W., Schuff, N., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000172913.88973.0d · Cited by 311
Dickerson, B. C., Fenstermacher, E., Salat, D. H., Wolk, D. A., Maguire, R. P., Desikan, R., Pacheco, J., Quinn, B. T., Van der Kouwe, A., Greve, D. N., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.08.042 · Cited by 290
Self-citationSemantic knowledge in mild cognitive impairment and mild Alzheimer's disease
Adlam, A.-L. R., Bozeat, S., Arnold, R., Watson, P., & Hodges, J. R. (2006) · Cortex · doi:10.1016/s0010-9452(08)70404-0 · Cited by 274
Rabin, L. A., Paré, N., Saykin, A. J., Brown, M. J., Wishart, H. A., Flashman, L. A., & Santulli, R. B. (2009) · Aging, Neuropsychology, and Cognition · doi:10.1080/13825580902825220 · Cited by 256
Correlations between MRI white matter lesion location and executive function and episodic memory
Smith, E. E., Salat, D. H., Jeng, J., McCreary, C. R., Fischl, B., Schmahmann, J. D., Dickerson, B. C., Viswanathan, A., Albert, M. S., Blacker, D., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e318217e7c8 · Cited by 243
Self-citationMiller, S. L., Fenstermacher, E., Bates, J., Blacker, D., Sperling, R. A., & Dickerson, B. C. (2007) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2007.124149 · Cited by 241
Neuropsychological Contributions to the Early Identification of Alzheimer’s Disease
Bondi, M. W., Jak, A. J., Delano-Wood, L., Jacobson, M. W., Delis, D. C., & Salmon, D. P. (2008) · Neuropsychology Review · doi:10.1007/s11065-008-9054-1 · Cited by 216
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PAUL, R. H., LAWRENCE, J., WILLIAMS, L. M., RICHARD, C. C., COOPER, N., & GORDON, E. (2005) · International Journal of Neuroscience · doi:10.1080/00207450590957890 · Cited by 206
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Nygård, L., & Starkhammar, S. (2007) · Aging & Mental Health · doi:10.1080/13607860600844168 · Cited by 193
RABIN, L., ROTH, R., ISQUITH, P., WISHART, H., NUTTERUPHAM, K., PARE, N., FLASHMAN, L., & SAYKIN, A. (2006) · Archives of Clinical Neuropsychology · doi:10.1016/j.acn.2006.08.004 · Cited by 168
Longitudinal change in cognitive performance among individuals with mild cognitive impairment.
Albert, M., Moss, M. B., Blacker, D., Tanzi, R., & McArdle, J. J. (2007) · Neuropsychology · doi:10.1037/0894-4105.21.2.158 · Cited by 160
Self-citationRobinson, J. L., Molina-Porcel, L., Corrada, M. M., Raible, K., Lee, E. B., Lee, V. M.-Y., Kawas, C. H., & Trojanowski, J. Q. (2014) · Brain · doi:10.1093/brain/awu190 · Cited by 157
Predictive value of APOE- 4 allele for progression from MCI to AD-type dementia: a meta-analysis
Elias-Sonnenschein, L. S., Viechtbauer, W., Ramakers, I. H. G. B., Verhey, F. R. J., & Visser, P. J. (2011) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2010.231555 · Cited by 154
Chang, Y.-L., Jacobson, M. W., Fennema-Notestine, C., Hagler, D. J., Jennings, R. G., Dale, A. M., McEvoy, L. K., & Initiative, A. A. D. N. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp192 · Cited by 130
LANGE, K. L., BONDI, M. W., SALMON, D. P., GALASKO, D., DELIS, D. C., THOMAS, R. G., & THAL, L. J. (2002) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617702870096 · Cited by 129
Johnson, S. C., La Rue, A., Hermann, B. P., Xu, G., Koscik, R. L., Jonaitis, E. M., Bendlin, B. B., Hogan, K. J., Roses, A. D., Saunders, A. M., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2010.11.012 · Cited by 112
Loewenstein, D. A., Acevedo, A., Small, B. J., Agron, J., Crocco, E., & Duara, R. (2009) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000211803 · Cited by 103
Desikan, R. S., Cabral, H. J., Fischl, B., Guttmann, C. R. G., Blacker, D., Hyman, B. T., Albert, M. S., & Killiany, R. J. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1397 · Cited by 94
Self-citationNeuropsychological Features of Mild Cognitive Impairment and Preclinical Alzheimer’s Disease
Salmon, D. P. (2011) · Current Topics in Behavioral Neurosciences · doi:10.1007/7854_2011_171 · Cited by 83
Preclinical AD Workgroup staging: Pathological correlates and potential challenges
Jicha, G. A., Abner, E. L., Schmitt, F. A., Kryscio, R. J., Riley, K. P., Cooper, G. E., Stiles, N., Mendiondo, M. S., Smith, C. D., Van Eldik, L. J., et al. (2012) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.02.018 · Cited by 71
Trajectories of Alzheimer disease‐related cognitive measures in a longitudinal sample
Bilgel, M., An, Y., Lang, A., Prince, J., Ferrucci, L., Jedynak, B., & Resnick, S. M. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.04.520 · Cited by 65
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Riedel, W. J. (2014) · Current Opinion in Pharmacology · doi:10.1016/j.coph.2013.10.002 · Cited by 22
Anxiety affects cognition differently in healthy apolipoprotein E ε4 homozygotes and non-carriers
Stonnington, C. M., Locke, D. E. C., Dueck, A. C., & Caselli, R. J. (2011) · The Journal of Neuropsychiatry and Clinical Neurosciences · doi:10.1176/jnp.23.3.jnp294 · Cited by 8
College of Engineering, P., Kamathe, R., Joshi, K., & P.E.S's Modern College of Engineering, I. (2017) · ICTACT Journal on Image and Video Processing · doi:10.21917/ijivp.2017.0219 · Cited by 1
Metadata
- Authors
- ALBERT, M. S., MOSS, M. B., TANZI, R., & JONES, K.
- Venue
- Journal of the International Neuropsychological Society
- Publisher
- Cambridge University Press (CUP)
- Published
- 2001-07
- Volume
- 7
- Issue
- 5
- Pages
- 631-639
- ISSN
- 1355-6177 (ISSN-L)
- 1469-7661
- OpenAlex
- W2102544039
- Cited by
- 519
- References
- 11
- FWCI
- 9.73
- Type
- journal article
- Language
- en
- Open access
- closed
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