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Classifying anatomical subtypes of subjective memory impairment

Authors
Jung, Na-YeonSeo, Sang WonYoo, HeejinYang, Jin-JuPark, SeongbeomKim, Yeo JinLee, JuyounLee, Jin SanJang, Young KyoungLee, Jong MinKim, Sung TaeKim, SeonwooKim, Eun-JooNa, Duk L.Kim, Hee Jin
Issue Date
Dec-2016
Publisher
ELSEVIER SCIENCE INC
Keywords
Subjective memory impairment; Anatomical subtype; Discrimination model; Temporal atrophy subtype; Minimal atrophy subtype
Citation
NEUROBIOLOGY OF AGING, v.48, pp.53 - 60
Indexed
SCIE
SCOPUS
Journal Title
NEUROBIOLOGY OF AGING
Volume
48
Start Page
53
End Page
60
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/153411
DOI
10.1016/j.neurobiolaging.2016.08.010
ISSN
0197-4580
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.
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Lee, Jong Min
COLLEGE OF ENGINEERING (서울 바이오메디컬공학전공)
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