FreeSurfer版本随机化可提高脑龄预测。
FreeSurfer version-shuffling can enhance brain age predictions.
作者信息
Korbmacher Max, Westlye Lars T, Maximov Ivan I
机构信息
Department of Health and Functioning, Western Norway University of Applied Sciences, Bergen, Norway.
Mohn Medical Imaging and Visualization Center (MMIV), Bergen, Norway.
出版信息
Neuroimage Rep. 2024 Jul 16;4(3):100214. doi: 10.1016/j.ynirp.2024.100214. eCollection 2024 Sep.
•FreeSurfer version-dependent variability on brain age predictions is on average small when varying training-test splits.•FreeSurfer version differences can introduce variability in brain age dependent on the algorithm and individual differences.•The advantage of repeated random train-test splitting is highlighted.•Shuffling of FreeSurfer version-dependent data increases performance and generalizability of the brain age prediction model.
•当改变训练-测试分割时，FreeSurfer版本依赖性对脑龄预测的变异性平均较小。
•FreeSurfer版本差异可能会根据算法和个体差异在脑龄中引入变异性。
•强调了重复随机训练-测试分割的优势。
•对依赖FreeSurfer版本的数据进行洗牌可提高脑龄预测模型的性能和通用性。
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