» Articles » PMID: 24516412

CERAD Neuropsychological Total Scores Reflect Cortical Thinning in Prodromal Alzheimer's Disease

Overview
Publisher Karger
Specialty Geriatrics
Date 2014 Feb 12
PMID 24516412
Citations 5
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Sensitive cognitive global scores are beneficial in screening and monitoring for prodromal Alzheimer's disease (AD). Early cortical changes provide a novel opportunity for validating established cognitive total scores against the biological disease markers.

Methods: We examined how two different total scores of the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) battery and the Mini-Mental State Examination (MMSE) are associated with cortical thickness (CTH) in mild cognitive impairment (MCI) and prodromal AD. Cognitive and magnetic resonance imaging (MRI) data of 22 progressive MCI, 78 stable MCI, and 98 control subjects, and MRI data of 103 AD patients of the prospective multicenter study were analyzed.

Results: CERAD total scores correlated with mean CTH more strongly (r = 0.34-0.38, p < 0.001) than did MMSE (r = 0.19, p = 0.01). Of those vertex clusters that showed thinning in progressive MCI, 60-75% related to the CERAD total scores and 3% to the MMSE.

Conclusion: CERAD total scores are sensitive to the CTH signature of prodromal AD, which supports their biological validity in detecting early disease-related cognitive changes.

Citing Articles

3T sodium-MRI as predictor of neurocognition in nondemented older adults: a cross sectional study.

Lui E, Venkatraman V, Finch S, Chua M, Li T, Sutton B Brain Commun. 2024; 6(5):fcae307.

PMID: 39318783 PMC: 11420980. DOI: 10.1093/braincomms/fcae307.


Automated deep learning segmentation of high-resolution 7 Tesla postmortem MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases.

Khandelwal P, Duong M, Sadaghiani S, Lim S, Denning A, Chung E Imaging Neurosci (Camb). 2024; 2():1-30.

PMID: 39301426 PMC: 11409836. DOI: 10.1162/imag_a_00171.


Utility of Machine Learning Approach with Neuropsychological Tests in Predicting Functional Impairment of Alzheimer's Disease.

Kwak S, Oh D, Jeon Y, Oh D, Park S, Kim H J Alzheimers Dis. 2021; 85(3):1357-1372.

PMID: 34924390 PMC: 8925128. DOI: 10.3233/JAD-215244.


Introducing the tablet-based Oxford Cognitive Screen-Plus (OCS-Plus) as an assessment tool for subtle cognitive impairments.

Demeyere N, Haupt M, Webb S, Strobel L, Milosevich E, Moore M Sci Rep. 2021; 11(1):8000.

PMID: 33846501 PMC: 8041764. DOI: 10.1038/s41598-021-87287-8.


Risk Factors and Consequences of Cortical Thickness in an Asian Population.

Hilal S, Xin X, Ang S, Tan C, Venketasubramanian N, Niessen W Medicine (Baltimore). 2015; 94(23):e852.

PMID: 26061305 PMC: 4616471. DOI: 10.1097/MD.0000000000000852.

References
1.
Paajanen T, Hanninen T, Tunnard C, Mecocci P, Sobow T, Tsolaki M . CERAD neuropsychological battery total score in multinational mild cognitive impairment and control populations: the AddNeuroMed study. J Alzheimers Dis. 2010; 22(4):1089-97. DOI: 10.3233/JAD-2010-100459. View

2.
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

3.
Singh V, Chertkow H, Lerch J, Evans A, Dorr A, Kabani N . Spatial patterns of cortical thinning in mild cognitive impairment and Alzheimer's disease. Brain. 2006; 129(Pt 11):2885-93. DOI: 10.1093/brain/awl256. View

4.
Bakkour A, Morris J, Dickerson B . The cortical signature of prodromal AD: regional thinning predicts mild AD dementia. Neurology. 2008; 72(12):1048-55. PMC: 2677470. DOI: 10.1212/01.wnl.0000340981.97664.2f. View

5.
Chandler M, Lacritz L, Hynan L, Barnard H, Allen G, Deschner M . A total score for the CERAD neuropsychological battery. Neurology. 2005; 65(1):102-6. DOI: 10.1212/01.wnl.0000167607.63000.38. View