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IC‐P‐105: LONGITUDINAL PATTERNS OF DECLINE IN SUBTYPES OF AMNESTIC EARLY ONSET AD
Author(s) -
Phillips Meredith,
Lane Kathleen A.,
Svaldi Diana Otero,
Gao Sujuan,
Stage Eddie,
Risacher Shan L.,
Saykin Andrew J.,
Apostolova Liana G.
Publication year - 2018
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2018.06.2171
Subject(s) - longitudinal study , audiology , cognition , cluster (spacecraft) , cognitive decline , psychology , analysis of variance , medicine , developmental psychology , disease , demography , dementia , neuroscience , pathology , sociology , computer science , programming language
AUC increase. After feature selections, the combined volume and thickness (#features1⁄417) yields the highest AUC1⁄40.8260.13 comparable to the BF+Ab (Fig-1C). Figure 2 reports the results of the BF + features combined. BF+Ab+APOE4 model leads to no increase in the AUC compared to BF+Ab. The highest accuracy is obtained when combining MRI volume, thickness and Ab status (AUC1⁄40.8660.11). Conclusions: Combining regional brain volumes, cortical thickness and basic baseline characteristics appears to be a powerful tool for predicting MCI conversion to AD. Determination of thresholds based on these baseline values may help identify rapid decliners, who would be the ideal population for a clinical trial aiming at delaying disease onset, as it would help decrease sample size and study cost.