BrainAGE Estimation: Influence of Field Strength, Voxel Size, Race, and Ethnicity
Dempsey, D. A.; Deardorff, R.; Wu, Y.-C.; Yu, M.; Apostolova, L. G.; Brosch, J.; Clark, D. G.; Farlow, M. R.; Gao, S.; Wang, S.; Saykin, A. J.; Risacher, S. L.
Show abstract
The 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.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Investigating the temporal pattern of neuroimaging-based brain age estimation as a biomarker for Alzheimer's Disease related neurodegeneration 97%
- Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study 97%
- Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer - ASEG and SAMSEG 96%
Similar papers in this journal
Similar papers in this journal
- Age-related differences in Rostral-Middle Locus Coeruleus Microstructure: A Critical Role in Cognitive Decline Revealed by Magnetic Resonance Relaxometry 96%
- White matter integrity is associated with cognition and amyloid burden in older adult Koreans along the Alzheimer’s disease continuum 94%
- Differential effects of aging, Alzheimer's pathology, and APOE4 on longitudinal functional connectivity and episodic memory in older adults 94%
Similar papers in this journal
- Brain-wide functional connectome analysis of 40,000 individuals reveals brain networks that show aging effects in older adults 95%
- White matter tract microstructure, macrostructure, and associated cortical gray matter morphology across the lifespan 95%
- Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer's disease 95%
Similar papers in this journal
- Topographical overlapping of the Aβ and Tau pathologies in the Default mode networks predicts Alzheimer’s Disease with higher specificity 94%
- FMRI complexity correlates with tau-PET in Late-Onset and Autosomal Dominant Alzheimer's Disease 94%
- Functional connectivity alterations of the temporal lobe and hippocampus in semantic dementia and Alzheimer's disease 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.