Evidence map›Paper›PMID 40661847›Full record

ArticleFrontiers in neuroscience2025

The predictive embodied mind: a case-based encounter with film aesthetics.

Maarten Coëgnarts

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

1 author.

Maarten CoëgnartsVisual and Digital Cultures Research Center, Department of Communication Studies, University of Antwerp, Antwerp, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent decades, the scientific study of the mind has experienced two significant conceptual shifts, each reshaping its research focus. The first, embodied cognition, questioned the objectivist framework of first-generation cognitive science by emphasizing that mental processes are deeply grounded in sensorimotor interactions with the world. Image-schemas have been suggested as one of the foundational conceptual elements underpinning this embodied grounding. The second shift is the revival of perception as an inferential process within the Predictive Processing (PP) framework. PP conceptualizes the mind as a predictive machine that minimizes error by actively anticipating sensory input through probabilistic computations. Rooted in Helmholtz's theory of unconscious inference and updated as the Bayesian brain model, PP has been extended to diverse cognitive phenomena, including perception, emotion, and aesthetics. While its application to the visual arts and cinema has been relatively limited, this article seeks to advance this encounter by bridging PP with cinematic aesthetics. The article is structured into three sections. The first introduces the PP framework, outlining its core theoretical principles and linking it to the concept of image schemas. The second section reviews existing accounts of predictive processing in visual aesthetics, particularly in the non-temporal arts, and introduces a new case study of narrative painting that builds on Ladislav Kesner's work on PP in art interpretation. In the final section we move to the temporal art form of narrative cinema, proposing that films engage the brain's inferential processes by activating image schemas through deliberate formal design. By structuring sensory input in alignment with the brain's predictive logic, cinematic works of art enhance both comprehension and the aesthetic pleasure derived from resolving predictions into coherent patterns.

Indexed as

embodied cognitionfilm styleimage schemasinferential processingmeaning-makingpredictive processing (PP)visual aesthetics

Identifiers

PMID40661847
PMCPMC12257363

What OpenQuestion holds

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Registered trials

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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.