In:
Alzheimer's & Dementia, Wiley, Vol. 17, No. S4 ( 2021-12)
Abstract:
The aging of brain is a topic has been constantly studied. Particularly, the norms for the elderly are important in diagnosing degenerative brain diseases, but the aging brain of East Asians has not been fully studied yet. “Neuro I” is a brain image quantitative analysis system with a built‐in large‐scale normative database for East Asians to provide quantified clinical information on how different an individual patient is from normal people. The study aimed to investigate ethnic differences of cortical brain volumes in normal elderly people, and to determine whether the norms considering racial disparities could improve the accuracy of diagnosis. Method Using Neuro I, cortical volumes were measured from brain magnetic resonance (MR) images of 1,686 cognitively normal elderly Koreans aged 59 to 89. For Caucasians, the brain images of 855 Caucasian‐Non‐Hispanic subjects were selected from the ADNI and OASIS datasets. The regression model predicting brain volumes were built using ethnicity, age, sex, intracranial volume (ICV), magnetic field strength (MFS), and scanner manufacturers as predictors. Based on the prediction model, the z‐scores of each individual were calculated. To validate the z‐score for diagnosis, 420 Alzheimer’s disease (AD) subjects of Koreans and Caucasians, and the same number of normal subjects were selected. The four validation groups divided by race and diagnosis were age‐ and sex‐matched using a propensity score matching method. Result The models predicting cortical volumes had a considerate amount of explained variance (mean R 2 : 55.8%, range: 42.7%–77.5%). Ethnicity explained substantial variances for temporal and parietal lobes (mean R 2 : 5.6%, range: 4.2%–7.5%), comparable to age (mean R 2 : 3.3%, range: 2.0%–4.3%). Furthermore, the z score of each region based on the model with ethnicity as a predictor (AUCs = .75, .72, .67, and .67 for left and right temporal and left and right parietal lobes, respectively) improved the accuracy of AD diagnosis compared to the z score based on the model without ethnicity (AUCs = .62, .59, .55, and .57). Conclusion Race or ethnicity should be considered for establishing the normative data in normal aging and AD diagnosis.
Type of Medium:
Online Resource
ISSN:
1552-5260
,
1552-5279
Language:
English
Publisher:
Wiley
Publication Date:
2021
detail.hit.zdb_id:
2211627-8
detail.hit.zdb_id:
2201940-6
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