Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates
University of California San Diego · VA San Diego Healthcare System · +5 more institutions
Abstract
We compared two methods of diagnosing mild cognitive impairment (MCI): conventional Petersen/Winblad criteria as operationalized by the Alzheimer's Disease Neuroimaging Initiative (ADNI) and an actuarial neuropsychological method put forward by Jak and Bondi designed to balance sensitivity and reliability. 1,150 ADNI participants were diagnosed at baseline as cognitively normal (CN) or MCI via ADNI criteria (MCI: n = 846; CN: n = 304) or Jak/Bondi criteria (MCI: n = 401; CN: n = 749), and the two MCI samples were submitted to cluster and discriminant function analyses. Resulting cluster groups were then compared and further examined for APOE allelic frequencies, cerebrospinal fluid (CSF) Alzheimer's disease…
Citation impact
- FWCI
- 14.62
- Percentile
- 100%
- References
- 59
Authors
12- MWMark W. BondiCorresponding
University of California San Diego, VA San Diego Healthcare System
- FTfor the Alzheimer's Disease Neuroimaging Initiative
University of California San Diego
- ECEmily C. Edmonds
University of California San Diego, VA San Diego Healthcare System
- AJAmy J. Jak
San Diego State University, University of California San Diego, VA San Diego Healthcare System
- LRLindsay R. Clark
San Diego State University, University of California San Diego, VA San Diego Healthcare System
Topics & keywords
- Neuropsychology
- Neuroimaging
- Operationalization
- Cognitive impairment
- Cognition
- Dementia
- Biomarker
- Psychology
- Reduced inequalities