Evidence map›Paper›PMID 41708639›Full record

ArticleNPJ microgravity2026

Longitudinal brain-age predictions comprising long-duration spaceflight missions.

Ge Tang, Kaustubh R Patil, Felix Hoffstaedter, Shammi More, Simon B Eickhoff, Steven Jillings, Ben Jeurissen, Elena Tomilovskaya, Darius Gerlach, Inna Nosikova and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ microgravity, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Ge TangInstitute for Neuroradiology, University Hospital, LMU Munich, Munich, Germany. ge.tang@campus.lmu.de.
Kaustubh R PatilInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.
Felix HoffstaedterInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.
Shammi MoreInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.
Simon B EickhoffInstitute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Centre Jülich, Jülich, Germany.
Steven JillingsLab for Equilibrium Investigations and Aerospace, University of Antwerp, Antwerp, Belgium.
Ben JeurissenImec/Vision Lab, University of Antwerp, Antwerp, Belgium.
Elena TomilovskayaSSC RF-Institute of Biomedical Problems, Russian Academy of Sciences, Moscow, Russia.
Darius GerlachInstitute of Aerospace Medicine, German Aerospace Center (DLR), Cologne, Germany.
Inna NosikovaSSC RF-Institute of Biomedical Problems, Russian Academy of Sciences, Moscow, Russia.
Alexandra RiabovaSSC RF-Institute of Biomedical Problems, Russian Academy of Sciences, Moscow, Russia.
Ekaterina PechenkovaLaboratory for Cognitive Research, HSE University, Moscow, Russia.
Viktor PetrovichevRadiology Department, Federal Center of Treatment and Rehabilitation, Moscow, Russia.
Ilya RukavishnikovSSC RF-Institute of Biomedical Problems, Russian Academy of Sciences, Moscow, Russia.
Lyudmila MakovskayaRadiology Department at the Medical Research and Educational Center, Lomonosov Moscow State University (MSU), Moscow, Russia.
Angelique Van OmbergenDepartment of Translational Neurosciences-ENT, University of Antwerp, Antwerp, Belgium.
Floris L Wuyts *Lab for Equilibrium Investigations and Aerospace, University of Antwerp, Antwerp, Belgium.
Peter Zu Eulenburg *Institute for Neuroradiology, University Hospital, LMU Munich, Munich, Germany.

Funding

Belgian Science Policy Prodex, European Space Agency (ESA) ISLRA 2009-1062Deutsche Forschungsgemeinschaft EI 816/21-1Deutsche Forschungsgemeinschaft PA 3634/1-1German Aerospace Center (DLR) 50WB2027Helmholtz-AI project BrainAge4AD ZT-I-PF-5-163Russian Academy of Sciences FMFR-2024-0033
6 · The paper itself

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.

Identifiers

PMID41708639
PMCPMC12992904

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.