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Longitudinal brain-age predictions comprising long-duration spaceflight missions
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  • Published: 18 February 2026

Longitudinal brain-age predictions comprising long-duration spaceflight missions

  • Ge Tang1,2,
  • Kaustubh R. Patil3,4,
  • Felix Hoffstaedter3,4,
  • Shammi More3,4,
  • Simon B. Eickhoff3,4,
  • Steven Jillings5,
  • Ben Jeurissen6,
  • Elena Tomilovskaya7,
  • Darius Gerlach8,
  • Inna Nosikova7,
  • Alexandra Riabova7,
  • Ekaterina Pechenkova9,
  • Viktor Petrovichev10,
  • Ilya Rukavishnikov7,
  • Lyudmila Makovskaya11,
  • Angelique Van Ombergen12,13,
  • Floris L. Wuyts5 na1 &
  • …
  • Peter zu Eulenburg1,2,14 na1 

npj Microgravity , Article number:  (2026) Cite this article

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Medical research
  • Neurology
  • Neuroscience
  • Physiology

Abstract

Our study investigates the effects of long-duration spaceflight on brain aging in spacefarers using structural MRI and machine learning models. Pre-, post-, and follow-up scans of ROS cosmonauts ESA astronauts, and matched Earth-bounding controls were analyzed. We found a considerable difference between the spacefareres and the control group, especially in the ESA cohorts (ß = 0.63). In the ROS cohorts, we observed a difference between the pre- and post-flight scans. A post-hoc analysis revealed that the pre-flight brain age delta was 0.842 years less than the immediate post-flight brain age delta after long-duration spaceflight. All three machine learning models showed good to excellent intraclass correlation coefficients (ICC) between the two consecutive MRI sessions. Our findings suggest that long-duration spaceflight may have an effect on human brain aging as observed from MRI.

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Data availability

The code used for analysis in this manuscript will be made available. However, due to privacy and ethical restrictions, the data itself will not be shared.

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Acknowledgements

We thank all cosmonauts, astronauts, and volunteers for their participation. This work was supported by the Belgian Science Policy Prodex, European Space Agency (ESA) (ISLRA 2009-1062 to F.W.), Russian Academy of Sciences (FMFR-2024-0033), and the Research Foundation Flanders (FWO Vlaanderen to A.V.O.). This work was also supported by the German Aerospace Centre (DLR) on behalf of the Federal Ministry of Economics and Technology/Energy (50WB2027 to P.z.E.), the Deutsche Forschungsgemeinschaft (DFG, PA 3634/1-1 to K.P. and EI 816/21-1 to S.E.), and the Helmholtz Portfolio Theme “Supercomputing and Modelling for the Human Brain” (to K.P.).

Funding

Open Access funding enabled and organized by Projekt DEAL.

Author information

Author notes
  1. These authors contributed equally: Floris L. Wuyts, Peter zu Eulenburg.

Authors and Affiliations

  1. Institute for Neuroradiology, University Hospital, LMU Munich, Munich, Germany

    Ge Tang & Peter zu Eulenburg

  2. Graduate School of Systemic Neurosciences, LMU Munich, Munich, Germany

    Ge Tang & Peter zu Eulenburg

  3. Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany

    Kaustubh R. Patil, Felix Hoffstaedter, Shammi More & Simon B. Eickhoff

  4. Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany

    Kaustubh R. Patil, Felix Hoffstaedter, Shammi More & Simon B. Eickhoff

  5. Lab for Equilibrium Investigations and Aerospace, University of Antwerp, Antwerp, Belgium

    Steven Jillings & Floris L. Wuyts

  6. Imec/Vision Lab, University of Antwerp, Antwerp, Belgium

    Ben Jeurissen

  7. SSC RF—Institute of Biomedical Problems, Russian Academy of Sciences, Moscow, Russia

    Elena Tomilovskaya, Inna Nosikova, Alexandra Riabova & Ilya Rukavishnikov

  8. Institute of Aerospace Medicine, German Aerospace Center (DLR), Cologne, Germany

    Darius Gerlach

  9. Laboratory for Cognitive Research, HSE University, Moscow, Russia

    Ekaterina Pechenkova

  10. Radiology Department, Federal Center of Treatment and Rehabilitation, Moscow, Russia

    Viktor Petrovichev

  11. Radiology Department at the Medical Research and Educational Center, Lomonosov Moscow State University (MSU), Moscow, Russia

    Lyudmila Makovskaya

  12. Department of Translational Neurosciences—ENT, University of Antwerp, Antwerp, Belgium

    Angelique Van Ombergen

  13. Directorate of Human and Robotic Exploration, European Space Agency (ESA), Noordwijk, Netherlands

    Angelique Van Ombergen

  14. German Center for Vertigo and Balance Disorders, University Hospital, LMU Munich, Munich, Germany

    Peter zu Eulenburg

Authors
  1. Ge Tang
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  2. Kaustubh R. Patil
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Contributions

G.T. and P.z.E. conceptualised the study and led the manuscript writing. They, along with K.P., F.H., and S.M., conducted the data analysis. The remaining co-authors contributed to data collection, provided critical feedback, and helped shape the research.

Corresponding author

Correspondence to Ge Tang.

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Competing interests

A.V.O. is an Associate Editor of npj Microgravity. The authors declare no other competing interests.

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Supplementary information

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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Cite this article

Tang, G., Patil, K.R., Hoffstaedter, F. et al. Longitudinal brain-age predictions comprising long-duration spaceflight missions. npj Microgravity (2026). https://doi.org/10.1038/s41526-026-00575-3

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  • Received: 14 September 2024

  • Accepted: 07 February 2026

  • Published: 18 February 2026

  • DOI: https://doi.org/10.1038/s41526-026-00575-3

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