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A Novel Computerized Cognitive Test for the Detection of Mild Cognitive Impairment and Its Association with Neurodegeneration in Alzheimer's Disease Prone Brain Regions

Abstract

During the prodromal stage of Alzheimer's disease (AD), neurodegenerative changes can be identified by measuring volumetric loss in AD-prone brain regions on MRI. Cognitive assessments that are sensitive enough to measure the early brain-behavior manifestations of AD and that correlate with biomarkers of neurodegeneration are needed to identify and monitor individuals at risk for dementia. Weak sensitivity to early cognitive change has been a major limitation of traditional cognitive assessments. In this study, we focused on expanding our previous work by determining whether a digitized cognitive stress test, the Loewenstein-Acevedo Scales for Semantic Interference and Learning, Brief Computerized Version (LASSI-BC) could differentiate between Cognitively Unimpaired (CU) and amnestic Mild Cognitive Impairment (aMCI) groups. A second focus was to correlate LASSI-BC performance to volumetric reductions in AD-prone brain regions. Data was gathered from 111 older adults who were comprehensively evaluated and administered the LASSI-BC. Eighty-seven of these participants (51 CU; 36 aMCI) underwent MR imaging. The volumes of 12 AD-prone brain regions were related to LASSI-BC and other memory tests correcting for False Discovery Rate (FDR). Results indicated that, even after adjusting for initial learning ability, the failure to recover from proactive semantic interference (frPSI) on the LASSI-BC differentiated between CU and aMCI groups. An optimal combination of frPSI and initial learning strength on the LASSI-BC yielded an area under the ROC curve of 0.876 (76.1% sensitivity, 82.7% specificity). Further, frPSI on the LASSI-BC was associated with volumetric reductions in the hippocampus, amygdala, inferior temporal lobes, precuneus, and posterior cingulate.

Citing Articles

Digital Migration of the Loewenstein Acevedo Scales for Semantic Interference and Learning (LASSI-L): Development and Validation Study in Older Participants.

Harvey P, Curiel-Cid R, Kallestrup P, Mueller A, Rivera-Molina A, Czaja S JMIR Ment Health. 2025; 12:e64716.

PMID: 39970376 PMC: 11864698. DOI: 10.2196/64716.

References
1.
Folstein M, Folstein S, McHugh P . "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975; 12(3):189-98. DOI: 10.1016/0022-3956(75)90026-6. View

2.
Kantarci K, Weigand S, Przybelski S, Preboske G, Pankratz V, Vemuri P . MRI and MRS predictors of mild cognitive impairment in a population-based sample. Neurology. 2013; 81(2):126-33. PMC: 3770173. DOI: 10.1212/WNL.0b013e31829a3329. View

3.
Juncos-Rabadan O, Pereiro A, Facal D, Reboredo A, Lojo-Seoane C . Do the Cambridge Neuropsychological Test Automated Battery episodic memory measures discriminate amnestic mild cognitive impairment?. Int J Geriatr Psychiatry. 2013; 29(6):602-9. DOI: 10.1002/gps.4042. View

4.
Johnson K, Fox N, Sperling R, Klunk W . Brain imaging in Alzheimer disease. Cold Spring Harb Perspect Med. 2012; 2(4):a006213. PMC: 3312396. DOI: 10.1101/cshperspect.a006213. View

5.
Zetterberg H, Blennow K . Moving fluid biomarkers for Alzheimer's disease from research tools to routine clinical diagnostics. Mol Neurodegener. 2021; 16(1):10. PMC: 7893769. DOI: 10.1186/s13024-021-00430-x. View