Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4932908 | Neurobiology of Aging | 2016 | 37 Pages |
Abstract
We aimed to categorize subjective memory impairment (SMI) individuals based on their patterns of cortical thickness and to propose simple models that can classify each subtype. We recruited 613 SMI individuals and 613 age- and gender-matched normal controls. Using hierarchical agglomerative cluster analysis, SMI individuals were divided into 3 subtypes: temporal atrophy (12.9%), minimal atrophy (52.4%), and diffuse atrophy (34.6%). Individuals in the temporal atrophy (Alzheimer's disease-like atrophy) subtype were older, had more vascular risk factors, and scored the lowest on neuropsychological tests. Combination of these factors classified the temporal atrophy subtype with 73.2% accuracy. On the other hand, individuals with the minimal atrophy (non-neurodegenerative) subtype were younger, were more likely to be female, and had depression. Combination of these factors discriminated the minimal atrophy subtype with 76.0% accuracy. We suggest that SMI can be largely categorized into 3 anatomical subtypes that have distinct clinical features. Our models may help physicians decide next steps when encountering SMI patients and may also be used in clinical trials.
Keywords
Related Topics
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Biochemistry, Genetics and Molecular Biology
Ageing
Authors
Na-Yeon Jung, Sang Won Seo, Heejin Yoo, Jin-Ju Yang, Seongbeom Park, Yeo Jin Kim, Juyoun Lee, Jin San Lee, Young Kyoung Jang, Jong Min Lee, Sung Tae Kim, Seonwoo Kim, Eun-Joo Kim, Duk L. Na, Hee Jin Kim,