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

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Abstract

Background Inexpensive, non-invasive tools for assessing Alzheimer-type pathophysiologies are needed. Computerized cognitive assessments are prime candidates. Methods Cognitively 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. Results Slower 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. Conclusions CogState subtests were cross-sectionally comparable to standard neuropsychological tests in their relatively weak associations with neurodegeneration imaging markers.

Original languageEnglish (US)
Pages (from-to)779-789
Number of pages11
JournalAlzheimer's and Dementia
Volume10
Issue number6
DOIs
StatePublished - Nov 1 2014

Fingerprint

Neuroimaging
Neuropsychological Tests
Amyloid
Positron-Emission Tomography
Maze Learning
Reaction Time
Magnetic Resonance Imaging
Learning

Keywords

  • Amyloidbeta
  • Computerized cognitive battery
  • Hippocampal volume
  • Neuroimaging
  • Neuropsychology
  • Preclinical Alzheimer's disease

ASJC Scopus subject areas

  • Clinical Neurology
  • Developmental Neuroscience
  • Cellular and Molecular Neuroscience
  • Psychiatry and Mental health
  • Geriatrics and Gerontology
  • Epidemiology
  • Health Policy

Cite this

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title = "Independent comparison of CogState computerized testing and a standard cognitive battery with neuroimaging",
abstract = "Background Inexpensive, non-invasive tools for assessing Alzheimer-type pathophysiologies are needed. Computerized cognitive assessments are prime candidates. Methods Cognitively 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. Results Slower 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. Conclusions CogState subtests were cross-sectionally comparable to standard neuropsychological tests in their relatively weak associations with neurodegeneration imaging markers.",
keywords = "Amyloidbeta, Computerized cognitive battery, Hippocampal volume, Neuroimaging, Neuropsychology, Preclinical Alzheimer's disease",
author = "Mielke, {Michelle M} and Weigand, {Stephen D.} and Wiste, {Heather J.} and Vemuri, {Prashanthi D} and Machulda, {Mary Margaret} and Knopman, {David S} and Val Lowe and Roberts, {Rosebud O} and Kantarci, {Kejal M} and Rocca, {Walter A} and Jack, {Clifford R Jr.} and Petersen, {Ronald Carl}",
year = "2014",
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language = "English (US)",
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T1 - Independent comparison of CogState computerized testing and a standard cognitive battery with neuroimaging

AU - Mielke, Michelle M

AU - Weigand, Stephen D.

AU - Wiste, Heather J.

AU - Vemuri, Prashanthi D

AU - Machulda, Mary Margaret

AU - Knopman, David S

AU - Lowe, Val

AU - Roberts, Rosebud O

AU - Kantarci, Kejal M

AU - Rocca, Walter A

AU - Jack, Clifford R Jr.

AU - Petersen, Ronald Carl

PY - 2014/11/1

Y1 - 2014/11/1

N2 - Background Inexpensive, non-invasive tools for assessing Alzheimer-type pathophysiologies are needed. Computerized cognitive assessments are prime candidates. Methods Cognitively 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. Results Slower 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. Conclusions CogState subtests were cross-sectionally comparable to standard neuropsychological tests in their relatively weak associations with neurodegeneration imaging markers.

AB - Background Inexpensive, non-invasive tools for assessing Alzheimer-type pathophysiologies are needed. Computerized cognitive assessments are prime candidates. Methods Cognitively 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. Results Slower 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. Conclusions CogState subtests were cross-sectionally comparable to standard neuropsychological tests in their relatively weak associations with neurodegeneration imaging markers.

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