Investigation of the Correlation between Seoul Neuropsychological Screening Battery Scores and the Gray Matter Volume after Correction of Covariates of the Age, Gender, and Genotypes in Patients with AD and MCI.
10.13104/jksmrm.2013.17.4.294
- Author:
Seung Yeon LEE
1
;
Soo Young YOON
;
Min Ji KIM
;
Hak Young RHEE
;
Chang Woo RYU
;
Geon Ho JAHNG
Author Information
1. Department of Medicine, School of Medicine, Kyung Hee University, Korea.
- Publication Type:Original Article
- Keywords:
SNSB;
brain gray matter volume;
genotype covariate;
Alzheimer's type dementia;
multiple regressions
- MeSH:
Aged;
Alzheimer Disease;
Apolipoproteins;
Brain;
Genotype*;
Humans;
Mass Screening*;
Methods;
Mild Cognitive Impairment;
Seoul*;
Verbal Learning
- From:Journal of the Korean Society of Magnetic Resonance in Medicine
2013;17(4):294-307
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: To investigate the correlations between Seoul Neuropsychological Screening Battery (SNSB) scores and the gray matter volumes (GMV) in patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI) and cognitively normal (CN) elderly subjects with correcting the genotypes. MATERIALS AND METHODS: Total 75 subjects were enrolled with 25 subjects for each group. The apolipoprotein E (APOE) epsilon genotypes, SNSB scores, and the 3D T1-weighted images were obtained from all subjects. Correlations between SNSB scores and GMV were investigated with the multiple regression method for each subject group using both voxel-based and region-of-interest-based analyses with covariates of age, gender, and the genotype. RESULTS: In the AD group, Rey Complex Figure Test (RCFT) delayed recall scores were positively correlated with GMV. In the MCI group, Seoul Verbal Learning Test (SVLT) scores were positively correlated with GMV. In the CN group, GMV negatively correlated with Boston Naming Test (K-BNT) scores and Mini-Mental State Examimation (K-MMSE) scores, but positively correlated with RCFT scores. CONCLUSION: When we used covariates of age, gender, and the genotype, we found statistically significant correlations between some SNSB scores and GMV at some brain regions. It may be necessary to further investigate a longitudinal study to understand the correlation.