FreeSurfer version-shuffling can enhance brain age predictions
Peer reviewed, Journal article
Published version
Permanent lenke
https://hdl.handle.net/11250/3168064Utgivelsesdato
2024Metadata
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Originalversjon
10.1016/j.ynirp.2024.100214Sammendrag
Key points
• 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.