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Patterns of Memory Performance in the Neurologically Impaired Aged

Published online by Cambridge University Press:  18 September 2015

Francisco I. Perez*
Affiliation:
Departments of Neurology and Psychiatry, Baylor College of Medicine and The Baylor-Methodist Center for Cerebrovascular Research, Houston, Texas, U.S.A
Joe R.A. Gay
Affiliation:
Departments of Neurology and Psychiatry, Baylor College of Medicine and The Baylor-Methodist Center for Cerebrovascular Research, Houston, Texas, U.S.A
Ronald L. Taylor
Affiliation:
Departments of Neurology and Psychiatry, Baylor College of Medicine and The Baylor-Methodist Center for Cerebrovascular Research, Houston, Texas, U.S.A
Victor M. Rivera
Affiliation:
Departments of Neurology and Psychiatry, Baylor College of Medicine and The Baylor-Methodist Center for Cerebrovascular Research, Houston, Texas, U.S.A
*
Department of Neurology, Baylor College of Medicine, Houston, Texas 77025 U.S.A.
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The specific behavioral manifestation associated with the different disorders producing the syndrome of dementia have remained poorly investigated. We examined the memory performance of three distinct groups of patients with dementia secondary to Alzheimer's disease (AD) multiple-infarctions (MID) and vertebrobasilar insufficiency (VBI) on the ten subtests of the Wechsler Memory Scale (WMS). Statistical methods of analysis were used to maximize the differences between the groups. Univariate statistical procedures revealed that the AD group performed significantly and consistently lower than the two cerebrovascular groups. There were no significant differences between the two cerebrovascular disease groups, even though the MID group tended to perform consistently more poorly than the VBI group. For heuristic and conceptual purposes as well as to determine which combination of the ten WMS variables produced the “best” statistical model differentiating the groups the data was analyzed by multivariate techniques. A discriminate function analysis obtained a 100% valid positive hit rate in discriminating among the three groups. One hundred percent diagnostic accuracy was also obtained in discriminating between MID and AD as well as AD and VBI. The two cerebrovascular groups tended to overlap in their probability distributions with an 81% hit rate. Different predicitive statistical models were identified to differentiate the various diagnostic groups. It was possible to discriminate the three diagnostic groups by different patterns of memory performance.

Type
Research Article
Copyright
Copyright © Canadian Neurological Sciences Federation 1975

References

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