Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/13519
Title: Computerized neuropsychological tests in the early detection of dementia: prospective findings.
Authors: Fowler, K S;Saling, Michael M;Conway, Elizabeth L;Semple, J M;Louis, William J
Affiliation: Department of Clinical Pharmacology and Therapeutics, Austin Hospital, Heidelberg, Victoria, Australia.
Issue Date: 1-Mar-1997
Citation: Journal of the International Neuropsychological Society : Jins; 3(2): 139-46
Abstract: This longitudinal study examines the sensitivity of 2 computerized neuropsychological tests, delayed matching to sample and paired associate learning, to early dementia of the Alzheimer type (DAT). Normal controls, patients in the early stages of DAT, and individuals with questionable dementia (QD) were studied. At 6 and 12 months after initial presentation, almost half of the QD group exhibited lower scores on the computerized subtests, maintaining their scores on standard testing. Over the same period NC subjects maintained their performance levels, while DAT patients continued to deteriorate. Linear discriminant function analyses of the computerized subtests at 6 and 12 months correctly classified 100% of the early DAT patients. Eighty-four and 79 percent of normal controls were correctly classified at 6 and 12 months respectively. Further development of these subtests for the detection of early dementia and the documentation of ongoing change in DAT is warranted. The findings are discussed in terms of the special sensitivity of these tests to the neuropathology of Alzheimer's Disease.
Internal ID Number: 9126855
URI: http://ahro.austin.org.au/austinjspui/handle/1/13519
URL: http://www.ncbi.nlm.nih.gov/pubmed/9126855
Type: Journal Article
Subjects: Aged
Alzheimer Disease.classification.diagnosis.psychology
Diagnosis, Computer-Assisted.statistics & numerical data
Discrimination Learning
Female
Humans
Longitudinal Studies
Male
Mental Recall
Middle Aged
Neuropsychological Tests.statistics & numerical data
Paired-Associate Learning
Pattern Recognition, Visual
Prospective Studies
Psychometrics
Sensitivity and Specificity
Appears in Collections:Journal articles

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