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Multi-Racial Normative Data for Lobar and Subcortical Brain Volumes in Old Age: Korean and Caucasian Norms May Be Incompatible With Each Other(†)

Brain aging is becoming an increasingly important topic, and the norms of brain structures are essential for diagnosing neurodegenerative diseases. However, previous studies of the aging brain have mostly focused on Caucasians, not East Asians. The aim of this paper was to examine ethnic differences...

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Autores principales: Choi, Yu Yong, Lee, Jang Jae, Choi, Kyu Yeong, Choi, Uk-Su, Seo, Eun Hyun, Choo, IL Han, Kim, Hoowon, Song, Min-Kyung, Choi, Seong-Min, Cho, Soo Hyun, Choe, Youngshik, Kim, Byeong C., Lee, Kun Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369368/
https://www.ncbi.nlm.nih.gov/pubmed/34413763
http://dx.doi.org/10.3389/fnagi.2021.675016
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author Choi, Yu Yong
Lee, Jang Jae
Choi, Kyu Yeong
Choi, Uk-Su
Seo, Eun Hyun
Choo, IL Han
Kim, Hoowon
Song, Min-Kyung
Choi, Seong-Min
Cho, Soo Hyun
Choe, Youngshik
Kim, Byeong C.
Lee, Kun Ho
author_facet Choi, Yu Yong
Lee, Jang Jae
Choi, Kyu Yeong
Choi, Uk-Su
Seo, Eun Hyun
Choo, IL Han
Kim, Hoowon
Song, Min-Kyung
Choi, Seong-Min
Cho, Soo Hyun
Choe, Youngshik
Kim, Byeong C.
Lee, Kun Ho
author_sort Choi, Yu Yong
collection PubMed
description Brain aging is becoming an increasingly important topic, and the norms of brain structures are essential for diagnosing neurodegenerative diseases. However, previous studies of the aging brain have mostly focused on Caucasians, not East Asians. The aim of this paper was to examine ethnic differences in the aging process of brain structures or to determine to what extent ethnicity affects the normative values of lobar and subcortical volumes in clinically normal elderly and the diagnosis in multi-racial patients with Alzheimer's disease (AD). Lobar and subcortical volumes were measured using FreeSurfer from MRI data of 1,686 normal Koreans (age range 59–89) and 851 Caucasian, non-Hispanic subjects in the ADNI and OASIS datasets. The regression models were designed to predict brain volumes, including ethnicity, age, sex, intracranial volume (ICV), magnetic field strength (MFS), and MRI scanner manufacturers as independent variables. Ethnicity had a significant effect for all lobar (|β| > 0.20, p < 0.001) and subcortical regions (|β| > 0.08, p < 0.001) except left pallidus and bilateral ventricles. To demonstrate the validity of the z-score for AD diagnosis, 420 patients and 420 normal controls were selected evenly from the Korean and Caucasian datasets. The four validation groups divided by race and diagnosis were matched on age and sex using a propensity score matching. We analyzed whether and to what extent the ethnicity adjustment improved the diagnostic power of the logistic regression model that was built using the only z-scores of six regions: bilateral temporal cortices, hippocampi, and amygdalae. The performance of the classifier after ethnicity adjustment was significantly improved compared with the classifier before ethnicity adjustment (ΔAUC = 0.10, D = 7.80, p < 0.001; AUC comparison test using bootstrap). Korean AD dementia patients may not be classified by Caucasian norms of brain volumes because the brain regions vulnerable to AD dementia are bigger in normal Korean elderly peoples. Therefore, ethnicity is an essential factor in establishing normative data for regional volumes in brain aging and applying it to the diagnosis of neurodegenerative diseases.
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spelling pubmed-83693682021-08-18 Multi-Racial Normative Data for Lobar and Subcortical Brain Volumes in Old Age: Korean and Caucasian Norms May Be Incompatible With Each Other(†) Choi, Yu Yong Lee, Jang Jae Choi, Kyu Yeong Choi, Uk-Su Seo, Eun Hyun Choo, IL Han Kim, Hoowon Song, Min-Kyung Choi, Seong-Min Cho, Soo Hyun Choe, Youngshik Kim, Byeong C. Lee, Kun Ho Front Aging Neurosci Neuroscience Brain aging is becoming an increasingly important topic, and the norms of brain structures are essential for diagnosing neurodegenerative diseases. However, previous studies of the aging brain have mostly focused on Caucasians, not East Asians. The aim of this paper was to examine ethnic differences in the aging process of brain structures or to determine to what extent ethnicity affects the normative values of lobar and subcortical volumes in clinically normal elderly and the diagnosis in multi-racial patients with Alzheimer's disease (AD). Lobar and subcortical volumes were measured using FreeSurfer from MRI data of 1,686 normal Koreans (age range 59–89) and 851 Caucasian, non-Hispanic subjects in the ADNI and OASIS datasets. The regression models were designed to predict brain volumes, including ethnicity, age, sex, intracranial volume (ICV), magnetic field strength (MFS), and MRI scanner manufacturers as independent variables. Ethnicity had a significant effect for all lobar (|β| > 0.20, p < 0.001) and subcortical regions (|β| > 0.08, p < 0.001) except left pallidus and bilateral ventricles. To demonstrate the validity of the z-score for AD diagnosis, 420 patients and 420 normal controls were selected evenly from the Korean and Caucasian datasets. The four validation groups divided by race and diagnosis were matched on age and sex using a propensity score matching. We analyzed whether and to what extent the ethnicity adjustment improved the diagnostic power of the logistic regression model that was built using the only z-scores of six regions: bilateral temporal cortices, hippocampi, and amygdalae. The performance of the classifier after ethnicity adjustment was significantly improved compared with the classifier before ethnicity adjustment (ΔAUC = 0.10, D = 7.80, p < 0.001; AUC comparison test using bootstrap). Korean AD dementia patients may not be classified by Caucasian norms of brain volumes because the brain regions vulnerable to AD dementia are bigger in normal Korean elderly peoples. Therefore, ethnicity is an essential factor in establishing normative data for regional volumes in brain aging and applying it to the diagnosis of neurodegenerative diseases. Frontiers Media S.A. 2021-08-03 /pmc/articles/PMC8369368/ /pubmed/34413763 http://dx.doi.org/10.3389/fnagi.2021.675016 Text en Copyright © 2021 Choi, Lee, Choi, Choi, Seo, Choo, Kim, Song, Choi, Cho, Choe, Kim and Lee. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Choi, Yu Yong
Lee, Jang Jae
Choi, Kyu Yeong
Choi, Uk-Su
Seo, Eun Hyun
Choo, IL Han
Kim, Hoowon
Song, Min-Kyung
Choi, Seong-Min
Cho, Soo Hyun
Choe, Youngshik
Kim, Byeong C.
Lee, Kun Ho
Multi-Racial Normative Data for Lobar and Subcortical Brain Volumes in Old Age: Korean and Caucasian Norms May Be Incompatible With Each Other(†)
title Multi-Racial Normative Data for Lobar and Subcortical Brain Volumes in Old Age: Korean and Caucasian Norms May Be Incompatible With Each Other(†)
title_full Multi-Racial Normative Data for Lobar and Subcortical Brain Volumes in Old Age: Korean and Caucasian Norms May Be Incompatible With Each Other(†)
title_fullStr Multi-Racial Normative Data for Lobar and Subcortical Brain Volumes in Old Age: Korean and Caucasian Norms May Be Incompatible With Each Other(†)
title_full_unstemmed Multi-Racial Normative Data for Lobar and Subcortical Brain Volumes in Old Age: Korean and Caucasian Norms May Be Incompatible With Each Other(†)
title_short Multi-Racial Normative Data for Lobar and Subcortical Brain Volumes in Old Age: Korean and Caucasian Norms May Be Incompatible With Each Other(†)
title_sort multi-racial normative data for lobar and subcortical brain volumes in old age: korean and caucasian norms may be incompatible with each other(†)
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369368/
https://www.ncbi.nlm.nih.gov/pubmed/34413763
http://dx.doi.org/10.3389/fnagi.2021.675016
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