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- W2980497509 abstract "Alzheimer's disease (AD) is a continuum, with the pathophysiological brain changes of amyloid-beta (Ab) plaques, neurofibrillary tau tangles (NFT) and subsequent neurodegeneration (N) occurring 15+ years before AD dementia. Simple and easy to administer cognitive tests, capable of differentiating healthy aging from preclinical AD are needed to assist clinicians in early diagnosis. We sought to examine if the DCTclock, a digitized cognitive assessment, was more sensitive than traditional paper and pencil tests at distinguishing subtle cognitive impairment between diagnostic groups and whether performance was associated with amyloid and tau deposition. We studied 183 older adults (159 cognitively normal (CN) and 24 who met consensus criteria for Mild Cognitive Impairment (MCI)) from the Harvard Aging Brain Study. All participants completed 1) the DCTclock, 2) traditional cognitive tests, 3) and PET imaging with Pittsburgh Compound B to measure amyloid status (Aβ+/-), and Flortaucipir to measure tau accumulation in inferior temporal and entorhinal regions. Associations amongst DCTclock variables, traditional cognitive tests and biomarkers were explored. The DCTclock was a significant predictor of processing speed and worse executive functioning and was highly correlated with the Preclinical Alzheimer's Cognitive Composite (PACC5), tests sensitive to amyloid burden at the preclinical stage. The DCTclock exhibited an excellent level of discrimination between CN and MCI diagnostic groups with an area under the ROC curve of 0.89 (95% CI, 0.83 to 0.95). This represented a 37% increase in diagnostic discriminability compared to traditional clock scoring methods AUC=0.65 (95% CI, 0.53 to 0.77) and was comparable to the PACC5 AUC=0.91 (95% CI, 0.82 to 0.99). In CN, the DCTclock total score was significantly correlated with PET biomarkers for entorhinal tau (r=-0.197) while the spatial reasoning sub-score was significantly correlated with Ab(r=-0.3217) entorhinal tau (r=-0.343) and inferior temporal tau (r=-0.235)." @default.
- W2980497509 created "2019-10-25" @default.
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- W2980497509 date "2019-07-01" @default.
- W2980497509 modified "2023-09-27" @default.
- W2980497509 title "F3-01-02: CAPTURING COGNITIVE IMPAIRMENT AT THE PRECLINICAL STAGE OF ALZHEIMER'S DISEASE USING DIGITAL TECHNOLOGY" @default.
- W2980497509 doi "https://doi.org/10.1016/j.jalz.2019.06.4597" @default.
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