Paper
17 November 2017 Quantifying cognition and behavior in normal aging, mild cognitive impairment, and Alzheimer's disease
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Proceedings Volume 10572, 13th International Conference on Medical Information Processing and Analysis; 105720H (2017) https://doi.org/10.1117/12.2287036
Event: 13th International Symposium on Medical Information Processing and Analysis, 2017, San Andres Island, Colombia
Abstract
The diagnosis of Alzheimer's disease (AD) and mild cognitive impairment (MCI) is based on neuropsychological evaluation of the patient. Different cognitive and memory functions are assessed by a battery of tests that are composed of items devised to specifically evaluate such upper functions. This work aims to identify and quantify the factors that determine the performance in neuropsychological evaluation by conducting an Exploratory Factor Analysis (EFA). For this purpose, using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI), EFA was applied to 67 item scores taken from the baseline neuropsychological battery of the three phases of ADNI study. The found factors are directly related to specific brain functions such as memory, behavior, orientation, or verbal fluency. The identification of factors is followed by the calculation of factor scores given by weighted linear combinations of the items scores.
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Diana L. Giraldo, Jan Sijbers, and Eduardo Romero "Quantifying cognition and behavior in normal aging, mild cognitive impairment, and Alzheimer's disease", Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 105720H (17 November 2017); https://doi.org/10.1117/12.2287036
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KEYWORDS
Alzheimer's disease

Factor analysis

Brain

Cognition

Neuroimaging

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