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Knopman, Davis S.

A5113815236 | I1330342723

Mayo Clinic

Mayo Clinic

Citations 3

Correction: The complex genetics of gait speed: genome-wide meta-analysis approach

Aging | July 7, 2017 | Volume: 9 | Issue: 7 | Pages: 1844-1846

10.18632/aging.101260 | PMID 28696945

The complex genetics of gait speed: genome-wide meta-analysis approach

Aging | December 30, 2016 | Volume: 9 | Issue: 1 | Pages: 209-246

10.18632/aging.101151 | PMID 28077804

Independent comparison of CogState computerized testing and a standard cognitive battery with neuroimaging

Alzheimer's & Dementia | November 15, 2014 | Volume: 10 | Issue: 6 | Pages: 779-789

10.1016/j.jalz.2014.09.001 | PMID 25458308

AbstractBackgroundInexpensive, non‐invasive tools for assessing Alzheimer‐type pathophysiologies are needed. Computerized cognitive assessments are prime candidates.MethodsCognitively normal participants, aged 51–71, with magnetic resonance imaging, fluorodeoxyglucose‐positron emission tomography (FDG‐PET), amyloid PET, CogState computerized cognitive assessment, and standard neuropsychological tests were included. We first examined the association between the CogState battery and neuroimaging measures. We then compared that association to the one between standard neuropsychological z‐scores and neuroimaging.ResultsSlower reaction times for CogState Identification and One Back, and lower memory and attention z‐scores, were associated (P < .05) with FDG‐PET hypometabolism. Slower time on the Groton Maze Learning Task and worse One Card Learning accuracy were associated (P < .05) with smaller hippocampal volumes. There were no associations with amyloid PET. Associations of CogState and neuropsychological Z‐scores with neuroimaging were small and of a similar magnitude.ConclusionsCogState subtests were cross‐sectionally comparable to standard neuropsychological tests in their relatively weak associations with neurodegeneration imaging markers.