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Predicted brain age, obtained from MRI scans, is a potentially useful tool for monitoring brain maturation, particularly in people who suffered neural lesions during their childhood such as arterial ischemic stroke. Accordingly, the aim of this study was to assess predicted brain age in people with stroke onset during the first 3 years of their lives (n = 26). Materials and Methods. Predicted brain age was measured based on the analyses of MRI data at the age 5–10 y.o. using the BrainStructuresAge software from the volBrain online platform. Results. In the majority of participants (85%) predicted brain age was higher than chronological age (positive age delta was 1.8 ± 1.7 y.o., median 1.9 y.o.). Conclusion. Even though this finding could be interpreted as accelerated brain development as a compensatory mechanism after the stroke, possible algorithmic pitfalls should be considered before this approach could be recommended for the assessment of brain development in children with neurological conditions.

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A Surprising Increase in the Predicted Brain Age in People Who Had Suffered a Stroke in Their Childhood: A Real Result or a Pitfall in the Analysis of MRI Scans?

  • 会议论文

  • 发表日期：

    2026年

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  • Ekaterina Korotkova,
  • Sofia Kulikova,
  • Alexey Meshkov,
  • Michail Lebedev,
  • Dmitrii Tarasov,
  • Daria Kleeva,
  • Ksenia Kunnikova,
  • Olga Lvova

摘要

Predicted brain age, obtained from MRI scans, is a potentially useful tool for monitoring brain maturation, particularly in people who suffered neural lesions during their childhood such as arterial ischemic stroke. Accordingly, the aim of this study was to assess predicted brain age in people with stroke onset during the first 3 years of their lives (n = 26). Materials and Methods. Predicted brain age was measured based on the analyses of MRI data at the age 5–10 y.o. using the BrainStructuresAge software from the volBrain online platform. Results. In the majority of participants (85%) predicted brain age was higher than chronological age (positive age delta was 1.8 ± 1.7 y.o., median 1.9 y.o.). Conclusion. Even though this finding could be interpreted as accelerated brain development as a compensatory mechanism after the stroke, possible algorithmic pitfalls should be considered before this approach could be recommended for the assessment of brain development in children with neurological conditions.