Mild Cognitive Impairment Subtype Performance in Comparison to Healthy Older Controls on the NIH Toolbox and Cogstate

Author:

Garcia Sarah1,Askew Robert L.1,Kavcic Voyko2,Shair Sarah34,Bhaumik Arijit K.34,Rose Edna34,Campbell Stephen34,May Nicolas4,Hampstead Benjamin M.345,Dodge Hiroko H.6,Heidebrink Judith L.34,Paulson Henry L.34,Giordani Bruno34

Affiliation:

1. Department of Psychology, Stetson University, DeLand, FL

2. Institute of Gerontology, Wayne State University, Detroit

3. Departments of Psychiatry, Neurology, Psychology, and School of Nursing

4. Michigan Alzheimer’s Disease Research Center, University of Michigan

5. Mental Health Service, VA Ann Arbor Healthcare System, Ann Arbor, MI

6. Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA

Abstract

Background: Early detection is necessary for the treatment of dementia. Computerized testing has become more widely used in clinical trials; however, it is unclear how sensitive these measures are to early signs of neurodegeneration. We investigated the use of the NIH Toolbox-Cognition (NIHTB-CB) and Cogstate-Brief computerized neuropsychological batteries in the identification of mild cognitive impairment (MCI) versus healthy older adults [healthy control (HC)] and amnestic (aMCI) versus nonamnestic MCI (naMCI). Exploratory analyses include investigating potential racial differences. Methods: Two hundred six older adults were diagnosed as aMCI (n = 58), naMCI (n = 15), or cognitively healthy (HC; n = 133). Results: The NIH Toolbox-CB subtests of Flanker, Picture Sequence Memory, and Picture Vocabulary significantly differentiated MCI from HC. Further, subtests from both computerized batteries differentiated patients with aMCI from those with naMCI. Although the main effect of race differences was noted on tests and in diagnostic groups was significant, there were no significant race-by-test interactions. Conclusions: Computer-based subtests vary in their ability to help distinguish MCI subtypes, though these tests provide less expensive and easier-to-administer clinical screeners to help identify patients early who may qualify for more comprehensive evaluations. Further work is needed, however, to refine computerized tests to achieve better precision in distinguishing impairment subtypes.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Psychiatry and Mental health,Geriatrics and Gerontology,Gerontology,Clinical Psychology

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