Evidence map›Paper›PMID 32686645›Full record

ArticleeLife2020

Neural dynamics of perceptual inference and its reversal during imagery.

Nadine Dijkstra, Luca Ambrogioni, Diego Vidaurre, Marcel van Gerven

Abstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Vivid imagery is reported faster than weak imagery.Neuroscience of consciousness · 2026
    Article
  5. Article
  6. Review
  7. ADA: A decoding algorithm for temporally-variable brain responses.Computational and structural biotechnology journal · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Decoding Remapped Spatial Information in the Peri-Saccadic Period.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  12. Article
  13. Neural Representations in Visual and Parietal Cortex Differentiate between Imagined, Perceived, and Illusory Experiences.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  14. Article
  15. Dissociating Hippocampal and Cortical Contributions to Predictive Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  16. Article
  17. Article
  18. Sustained neural representations of personally familiar people and places during cued recall.Cortex; a journal devoted to the study of the nervous system and behavior · 2023
    Article
  19. Article
  20. Article
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

4 authors.

Nadine DijkstraDonders Centre for Cognition, Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands.ORCID 0000-0003-1423-9277
Luca AmbrogioniDonders Centre for Cognition, Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands.
Diego VidaurreOxford Centre for Human Brain Activity, Oxford University, Oxford, United Kingdom.ORCID 0000-0002-9650-2229
Marcel van GervenDonders Centre for Cognition, Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands.ORCID 0000-0002-2206-9098

Funding

Netherlands Organisation for Scientific Research 639.072.51
6 · The paper itself

Abstract

After the presentation of a visual stimulus, neural processing cascades from low-level sensory areas to increasingly abstract representations in higher-level areas. It is often hypothesised that a reversal in neural processing underlies the generation of mental images as abstract representations are used to construct sensory representations in the absence of sensory input. According to predictive processing theories, such reversed processing also plays a central role in later stages of perception. Direct experimental evidence of reversals in neural information flow has been missing. Here, we used a combination of machine learning and magnetoencephalography to characterise neural dynamics in humans. We provide direct evidence for a reversal of the perceptual feed-forward cascade during imagery and show that, during perception, such reversals alternate with feed-forward processing in an 11 Hz oscillatory pattern. Together, these results show how common feedback processes support both veridical perception and mental imagery.

Indexed as

Machine LearningMagnetoencephalographyAdultHumansMental ProcessesNeural PathwaysPerceptionSpatio-Temporal AnalysisYoung Adulthumanmental imageryneuroscienceperceptionpredictive processing

Identifiers

PMID32686645
PMCPMC7371419

What OpenQuestion holds

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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.