ArticleFrontiers in physiology2024
Cognitive performance in ISS astronauts on 6-month low earth orbit missions.
Article in Frontiers in physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Spaceflight-associated neuro-ocular syndrome (SANS): expert consensus on diagnosis and management.Eye (London, England) · 2026Review
- Review
- Gravity-awareness: a deep learning and LLM framework for predicting human adaptation to altered gravitational environments.Frontiers in psychology · 2026Article
- The scent of serenity: lessons learned from olfactory-enhanced virtual reality for stress reduction in isolated and confined environments.Frontiers in psychology · 2026Article
- Neural activation is enhanced with operational task ecological validity during complex cognitive tasks.Frontiers in human neuroscience · 2026Article
- Identifying cognitive capabilities required for optimal surface extravehicular activity performance.NPJ microgravity · 2025Article
- Neural changes in microgravity: Investigating the effects of aerospace environments.IBRO neuroscience reports · 2025Review
- Spaceflight Standard Measures is a multidisciplinary study that systematically monitors risks to astronaut health and performance.NPJ microgravity · 2025Review
- Beyond the lab coat: methodological challenges in space life sciences.Frontiers in physiology · 2025Review
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Introduction: Current and future astronauts will endure prolonged exposure to spaceflight hazards and environmental stressors that could compromise cognitive functioning, yet cognitive performance in current missions to the International Space Station remains critically under-characterized. We systematically assessed cognitive performance across 10 cognitive domains in astronauts on 6-month missions to the ISS. Methods: Twenty-five professional astronauts were administered the Cognition Battery as part of National Aeronautics and Space Administration (NASA) Human Research Program Standard Measures Cross-Cutting Project. Cognitive performance data were collected at five mission phases: pre-flight, early flight, late flight, early post-flight, and late post-flight. We calculated speed and accuracy scores, corrected for practice effects, and derived z-scores to represent deviations in cognitive performance across mission phases from the sample's mean baseline (i.e., pre-flight) performance. Linear mixed models with random subject intercepts and pairwise comparisons examined the relationships between mission phase and cognitive performance. Results: Cognitive performance was generally stable over time with some differences observed across mission phases for specific subtests. There was slowed performance observed in early flight on tasks of processing speed, visual working memory, and sustained attention. We observed a decrease in risk-taking propensity during late flight and post-flight mission phases. Beyond examining group differences, we inspected scores that represented a significant shift from the sample's mean baseline score, revealing that 11.8% of all flight and post-flight scores were at or below 1.5 standard deviations below the sample's baseline mean. Finally, exploratory analyses yielded no clear pattern of associations between cognitive performance and either sleep or ratings of alertness. Conclusion: There was no evidence for a systematic decline in cognitive performance for astronauts on a 6-month missions to the ISS. Some differences were observed for specific subtests at specific mission phases, suggesting that processing speed, visual working memory, sustained attention, and risk-taking propensity may be the cognitive domains most susceptible to change in Low Earth Orbit for high performing, professional astronauts. We provide descriptive statistics of pre-flight cognitive performance from 25 astronauts, the largest published preliminary normative database of its kind to date, to help identify significant performance decrements in future samples.
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