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P1‐326: Incident essential and resting tremor in aging and its relationship to cognitive performance at onset
Author(s) -
Abner Erin,
Hack Nawaz,
Jicha Gregory
Publication year - 2012
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.2012.05.2012
Subject(s) - cognition , memory span , audiology , wechsler adult intelligence scale , dementia , psychology , neuropsychology , cognitive decline , recall , verbal memory , effects of sleep deprivation on cognitive performance , medicine , essential tremor , working memory , physical medicine and rehabilitation , disease , neuroscience , cognitive psychology
and functional activities of daily living (functional severity), which were respectively measured by the MCI Screen’s wordlist memory task and the Functional Assessment Staging Test procedure (FAST). The discriminability component (memory performance) of delayed recognition memory accurately predicted FAST staging, as well as converted it into a continuous measure. In the present study, we examine this cognitive-functional relationship for different diagnostic groups. Methods: The sample consisted of 304 patients (N), who had 2,086 repeated MCIS and FAST assessments (R) for up to 9 years. The ADRD diagnostic groups were normal cognition (N 1⁄4 19, R 1⁄4 85), AD (N 1⁄4 163, R 1⁄4 1274), cerebrovascular disease (VD: N 1⁄4 131, R 1⁄4 800), Lewy Body Disease (LBD: N 1⁄4 23, R 1⁄4 174), Frontal-Temporal Lobe Disease (FTLD: N 1⁄4 18, R 1⁄4 101), and multiple etiologies (Mixed ADRD: N 1⁄4 88, R 1⁄4 652). The HBCP model consisted of recognition memory performance parameters of discriminability and response bias (response strategy), evaluated at each FAST stage, and integrated into a hierarchical Bayesian framework that included diagnostic group effects. For each diagnostic group, and for all groups combined, a transfer function was used to relate discriminability to the continuum of values underlying the discrete FAST stages. Bayesian analysis was used to implement the model, and infer the parameters of the transfer function. Results: The transfer functions of the AD, LBD, VD and Mixed ADRD groups were well behaved and had narrow credible intervals, but those of the normal cognition and FTLD groups were unable to accurately inferred, possible due to small sample sizes. In VD, discriminability declined twice as slowly compared to other groups. Conclusions: HBCP models accurately translated memory performance (discriminability) to a continuous measure of functional severity in AD, VD, LBD and Mixed ADRD. The FAST procedure-originally developed for AD-appears useful for monitoring other ADRD etiologies. These models help characterize cognitive-functional relationships in individuals and groups in clinical practice and research.