ArticleNeuroimage. Reports2024
FreeSurfer version-shuffling can enhance brain age predictions.
Article in Neuroimage. Reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Comparing deep learning CNN method with traditional MRI-based hippocampal segmentation and volumetry for early Alzheimer's disease diagnosis across diverse populations.Scientific reports · 2025Article
- Cross-Sectional Brain Age Assessments Are Limited in Predicting Future Brain Change.Human brain mapping · 2025Article
- Predicting brain age for veterans with traumatic brain injuries and healthy controls: an exploratory analysis.Frontiers in aging neuroscience · 2025Article
- Machine learning-based reconstruction of 2D MRI for quantitative morphometry in epilepsy.Imaging neuroscience (Cambridge, Mass.) · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
•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.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.