Evidence map›Paper›PMID 34819342›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2022

Neurocomputational Underpinnings of Expected Surprise.

Françoise Lecaignard, Olivier Bertrand, Anne Caclin, Jérémie Mattout

Abstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Systematic Review and Meta-Analysis of Mismatch Negativity in Autism: Insights Into Predictive Mechanisms.Autism research : official journal of the International Society for Autism Research · 2025
    Pooled it
  2. Measuring surprisal in sound sequences.Behavior research methods · 2026
    Article
  3. Modality-general sensitivity of pupil responses to regularity violations.Cognitive, affective & behavioral neuroscience · 2026
    Article
  4. The Somatosensory Mismatch Negativity.The European journal of neuroscience · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Concurrent Encoding of Sequence Predictability and Event-Evoked Prediction Error in Unfolding Auditory Patterns.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Separating Uncertainty from Surprise in Auditory Processing with Neurocomputational Models: Implications for Music Perception.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
    Article
  18. Article
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Françoise LecaignardLyon Neuroscience Research Center, CRNL; INSERM, U1028; CNRS, UMR5292; F-69000, France francoise.lecaignard@inserm.fr.
Olivier BertrandLyon Neuroscience Research Center, CRNL; INSERM, U1028; CNRS, UMR5292; F-69000, France.
Anne CaclinLyon Neuroscience Research Center, CRNL; INSERM, U1028; CNRS, UMR5292; F-69000, France.
Jérémie MattoutLyon Neuroscience Research Center, CRNL; INSERM, U1028; CNRS, UMR5292; F-69000, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Predictive coding accounts of brain functions profoundly influence current approaches to perceptual synthesis. However, a fundamental paradox has emerged, that may be very relevant for understanding hallucinations, psychosis, or cognitive inflexibility: in some situations, surprise or prediction error-related responses can decrease when predicted, and yet, they can increase when we know they are predictable. This paradox is resolved by recognizing that brain responses reflect precision-weighted prediction error. This presses us to disambiguate the contributions of precision and prediction error in electrophysiology. To meet this challenge for the first time, we appeal to a methodology that couples an original experimental paradigm with fine dynamic modeling. We examined brain responses in healthy human participants (

Indexed as

AdolescentAdultBayes TheoremBrainElectroencephalographyEvoked PotentialsFemaleHumansLearningMagnetoencephalographyMaleModels, NeurologicalYoung AdultBayesian learningdynamic causal modelingEEG-MEG fusionmismatch negativitypredictive codingtrial-by-trial modeling

Identifiers

PMID34819342
PMCPMC8802931

What OpenQuestion holds

Textmetadata
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.