%0 Journal Article
%T Multi-Ethnic Norms for Volumes of Subcortical and Lobar Brain Structures Measured by Neuro I: Ethnicity May Improve the Diagnosis of Alzheimer's Disease1.
%A Choi YY
%A Lee JJ
%A Te Nijenhuis J
%A Choi KY
%A Park J
%A Ok J
%A Choo IH
%A Kim H
%A Song MK
%A Choi SM
%A Cho SH
%A Choe Y
%A Kim BC
%A Lee KH
%J J Alzheimers Dis
%V 99
%N 1
%D 2024 Apr 16
%M 38640153
%F 4.16
%R 10.3233/JAD-231182
%X <B>UNASSIGNED: </B>We previously demonstrated the validity of a regression model that included ethnicity as a novel predictor for predicting normative brain volumes in old age. The model was optimized using brain volumes measured with a standard tool FreeSurfer.<BR><B>UNASSIGNED: </B>Here we further verified the prediction model using newly estimated brain volumes from Neuro I, a quantitative brain analysis system developed for Korean populations.<BR><B>UNASSIGNED: </B>Lobar and subcortical volumes were estimated from MRI images of 1,629 normal Korean and 786 Caucasian subjects (age range 59-89) and were predicted in linear regression from ethnicity, age, sex, intracranial volume, magnetic field strength, and scanner manufacturers.<BR><B>UNASSIGNED: </B>In the regression model predicting the new volumes, ethnicity was again a substantial predictor in most regions. Additionally, the model-based z-scores of regions were calculated for 428 AD patients and the matched controls, and then employed for diagnostic classification. When the AD classifier adopted the z-scores adjusted for ethnicity, the diagnostic accuracy has noticeably improved (AUC = 0.85, ΔAUC = + 0.04, D = 4.10, p < 0.001).<BR><B>UNASSIGNED: </B>Our results suggest that the prediction model remains robust across different measurement tool, and ethnicity significantly contributes to the establishment of norms for brain volumes and the development of a diagnostic system for neurodegenerative diseases.