The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Neuropsychological features of mild cognitive impairment and preclinical Alzheimer's disease: Neuropsychological features of MCI and AD
Abstract
Recent research has identified a transitional state between the cognitive changes of normal aging and Alzheimer's disease (AD), known as mild cognitive impairment (MCI). MCI patients experience memory loss to a greater extent than one would expect for age, yet they do not meet currently accepted criteria for clinically probable AD. An issue currently under investigation is whether MCI represents the preclinical stages of AD or a distinct and static cognitive aetiology. In an attempt to address this issue, the present investigations are adopting a convergent approach to the detection of preclinical AD, where multiple risk factors are considered when making a diagnosis. Currently, one of the most important tools when assessing early cognitive changes is neuropsychological evaluation. MCI subjects typically record neuropsychological performance between that of healthy older individuals and demented patients. Tests assessing new learning, delayed recall and attention/executive function seem to provide valuable information for screening and diagnosis of MCI and early AD if interpreted properly. Recommendations concerning methodological issues and the early management of neuropsychological MCI studies were made.
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Cites
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
Petersen, R. C., Stevens, J. C., Ganguli, M., Tangalos, E. G., Cummings, J. L., & DeKosky, S. T. (2001) · Neurology · doi:10.1212/wnl.56.9.1133 · Cited by 2,065
Mild 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
The Preclinical Phase of Alzheimer Disease: A 22-Year Prospective Study of the Framingham Cohort
Elias, M. F., Beiser, A., Wolf, P. A., Au, R., White, R. F., & D'Agostino, R. B. (2000) · Archives of Neurology · doi:10.1001/archneur.57.6.808 · Cited by 716
Fratiglioni, L., Viitanen, M., von Strauss, E., Tontodonati, V., Herlitz, A., & Winblad, B. (1997) · Neurology · doi:10.1212/wnl.48.1.132 · Cited by 556
Morris, J. C., McKeel, D. W., Storandt, M., Rubin, E. H., Price, J. L., Grant, E. A., Ball, M. J., & Berg, L. (1991) · Neurology · doi:10.1212/wnl.41.4.469 · Cited by 473
Neuropsychological detection and characterization of preclinical Alzheimer’s disease
Jacobs, D. M., Sano, M., Dooneief, G., Marder, K., Bell, K. L., & Stern, Y. (1995) · Neurology · doi:10.1212/wnl.45.5.957 · Cited by 409
Definition, course, and outcome of mild cognitive impairment
Smith, G. E., Petersen, R. C., Parisi, J. E., Ivnik, R. J., Kokmen, E., Tangalos, E. G., & Waring, S. (1996) · Aging, Neuropsychology, and Cognition · doi:10.1080/13825589608256619 · Cited by 186
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The Alzheimer's Disease Centers' Uniform Data Set (UDS): The Neuropsychologic Test Battery
Weintraub, S., Salmon, D., Mercaldo, N., Ferris, S., Graff-Radford, N. R., Chui, H., Cummings, J., DeCarli, C., Foster, N. L., Galasko, D., et al. (2009) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e318191c7dd · Cited by 888
Tabert, M. H., Manly, J. J., Liu, X., Pelton, G. H., Rosenblum, S., Jacobs, M., Zamora, D., Goodkind, M., Bell, K., Stern, Y., et al. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.8.916 · Cited by 600
Bahar-Fuchs, A., Clare, L., & Woods, B. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd003260.pub2 · Cited by 507
Neurodegenerative and neurological disorders by small inhaled particles
Heusinkveld, H. J., Wahle, T., Campbell, A., Westerink, R. H. S., Tran, L., Johnston, H., Stone, V., Cassee, F. R., & Schins, R. P. F. (2016) · NeuroToxicology · doi:10.1016/j.neuro.2016.07.007 · Cited by 331
Sources of cortical rhythms in adults during physiological aging: A multicentric EEG study
Babiloni, C., Binetti, G., Cassarino, A., Dal Forno, G., Del Percio, C., Ferreri, F., Ferri, R., Frisoni, G., Galderisi, S., Hirata, K., et al. (2006) · Human Brain Mapping · doi:10.1002/hbm.20175 · Cited by 314
Metadata
- Authors
- Arnáiz, E., & Almkvist, O.
- Venue
- Acta Neurologica Scandinavica
- Publisher
- Wiley
- Published
- 2003-02
- Volume
- 107
- Pages
- 34-41
- ISSN
- 0001-6314 (ISSN-L)
- OpenAlex
- W2076479010
- Cited by
- 281
- References
- 8
- FWCI
- 9.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Neuropsychological features of mild cognitive impairment and preclinical Alzheimer's disease: Neuropsychological features of MCI and AD. https://app.cochat.ai/papers/10.1034/j.1600-0404.107.s179.7.x
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- Arnáiz, E., & Almkvist, O. (2003). Neuropsychological features of mild cognitive impairment and preclinical Alzheimer's disease: Neuropsychological features of MCI and AD. Acta Neurologica Scandinavica. https://doi.org/10.1034/j.1600-0404.107.s179.7.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
