ReviewFrontiers in physiology2019
Benefits of Motor Imagery for Human Space Flight: A Brief Review of Current Knowledge and Future Applications.
Review in Frontiers in physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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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.
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.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Effects of Bed Rest on Physical Performance in Athletes: A Systematic and Narrative Review.Sports medicine (Auckland, N.Z.) · 2023Pooled it
- Assessing Motor Cortical Activity: How Repetitions Impact Motor Execution and Imagery Analysis.Psychophysiology · 2025Article
- Interrelation of Natural Polyphenol and Fibrosis in Diabetic Nephropathy.Molecules (Basel, Switzerland) · 2024Review
- Simulating Extreme Environmental ConditionsFrontiers in psychology · 2022Article
- Effects of motor imagery training on skeletal muscle contractile properties in sports science students.PeerJ · 2022Article
- Mental imagery of object motion in weightlessness.NPJ microgravity · 2021Article
- Motor Imagery Training of Reaching-to-Grasp Movement Supplemented by a Virtual Environment in an Individual With Congenital Bilateral Transverse Upper-Limb Deficiency.Frontiers in psychology · 2021Article
- CNN-based framework using spatial dropping for enhanced interpretation of neural activity in motor imagery classification.Brain informatics · 2020Article
- Entropy-Based Estimation of Event-Related De/Synchronization in Motor Imagery Using Vector-Quantized Patterns.Entropy (Basel, Switzerland) · 2020Article
- Enable, Reconnect and Augment: A New ERA of Virtual Nature Research and Application.International journal of environmental research and public health · 2020Review
- Dynamic Modeling of Common Brain Neural Activity in Motor Imagery Tasks.Frontiers in neuroscience · 2020Article
- Enhanced Multiple Instance Representation Using Time-Frequency Atoms in Motor Imagery Classification.Frontiers in neuroscience · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Motor imagery (MI) is arguably one of the most remarkable capacities of the human mind. There is now strong experimental evidence that MI contributes to substantial improvements in motor learning and performance. The therapeutic benefits of MI in promoting motor recovery among patients with motor impairments have also been reported. Despite promising theoretical and experimental findings, the utility of MI in adapting to unusual conditions, such as weightlessness during space flight, has received far less attention. In this review, we consider how, why, where, and when MI might be used by astronauts, and further evaluate the optimum MI content. Practically, we suggest that MI might be performed before, during, and after exposure to microgravity, respectively, to prepare for the rapid changes in gravitational forces after launch and to reduce the adverse effects of weightlessness exposition. Moreover, MI has potential role in facilitating re-adaptation when returning to Earth after long exposure to microgravity. Suggestions for further research include a focus on the multi-sensory aspects of MI, the requirement to use temporal characteristics as a measurement tool, and to account for the knowledge-base or metacognitive processes underlying optimal MI implementation.
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Registered trials
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.