Longitudinal brain-age predictions comprising long-duration spaceflight missions

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Authors: Ge Tang, Kaustubh R. Patil, Felix Hoffstaedter, Shammi More, Simon Bodo Eickhoff, Steven Jillings, Ben Jeurissen, Elena Tomilovskaya, Darius A. Gerlach, Inna Nosikova, Alexandra Riabova, Ekaterina Pechenkova
+6 more Victor S. Petrovichev, Ilya V. Rukavishnikov, Lyudmila Makovskaya, Angelique Van Ombergen, Floris L. Wuyts, Peter zu Eulenburg
Cited by: 0
References: 28

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.

Fields of Study & Subjects

Spaceflight effects on biology Advanced MRI Techniques and Applications Long-Term Effects of COVID-19

Publication details

Journal / source
npj Microgravity
Volume
12
Issue
1
Publication date
18 February 2026
Language
EN