ReviewPsychological research2024
Action imagery as active inference: a commentary on Rieger et al. (2023).
Review in Psychological research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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
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Who cites it
3 citing papers in PubMed, 3 citations in OpenAlex.
- Distance-dependent modulation of sensory attenuation during motor imagery and overt action.Experimental brain research · 2026Article
- Experienced meditators show greater forward traveling cortical alpha wave strengths.Annals of the New York Academy of Sciences · 2025Article
- Post-error slowing during motor sequence learning under extrinsic and intrinsic error feedback conditions.Psychological research · 2024Article
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rieger et al. (Psychol Res 2023:1-10, 2023) describe action imagery as motor simulation. Inverse models encode predicted action effects and compute muscle commands, which are inhibited to prevent overt action. We welcome this conceptualization of action imagery as inherently generative and predictive. In the spirit of stimulating further theoretical discourse on action imagery, and more broadly, action control, our commentary provides a brief introduction to Active Inference to establish a contrasting perspective from which to consider what, how, and why action imagery contributes to motor learning.
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What OpenQuestion holds
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.