Dempsey, Desarae A.Deardorff, RachaelWu, Yu-ChienYu, MeichenApostolova, Liana G.Brosch, JaredClark, David G.Farlow, Martin R.Gao, SujuanWang, SophiaSaykin, Andrew J.Risacher, Shannon L.Alzheimer’s Disease Neuroimaging Initiative2024-05-092024-05-092023-12-05Dempsey DA, Deardorff R, Wu YC, et al. BrainAGE Estimation: Influence of Field Strength, Voxel Size, Race, and Ethnicity. Preprint. medRxiv. 2023;2023.12.05.23299222. Published 2023 Dec 5. doi:10.1101/2023.12.05.23299222https://hdl.handle.net/1805/40592The BrainAGE method is used to estimate biological brain age using structural neuroimaging. However, the stability of the model across different scan parameters and races/ethnicities has not been thoroughly investigated. Estimated brain age was compared within- and across- MRI field strength and across voxel sizes. Estimated brain age gap (BAG) was compared across demographically matched groups of different self-reported races and ethnicities in ADNI and IMAS cohorts. Longitudinal ComBat was used to correct for potential scanner effects. The brain age method was stable within field strength, but less stable across different field strengths. The method was stable across voxel sizes. There was a significant difference in BAG between races, but not ethnicities. Correction procedures are suggested to eliminate variation across scanner field strength while maintaining accurate brain age estimation. Further studies are warranted to determine the factors contributing to racial differences in BAG.en-USAttribution-NonCommercial-NoDerivatives 4.0 InternationalBrainAGEAge estimationMRIAlzheimer’s Disease (AD)Mild Cognitive Impairment (MCI)BiomarkerNeurodegenerationBrain atrophyCognitive declineRaceEthnicityComBatArticle