Evidence map›Paper›PMID 41341627›Full record

ArticlePNAS nexus2025

Less is more: Aesthetic liking is inversely related to metabolic expense by the visual system.

Yikai Tang, William A Cunningham, Dirk B Walther

Abstract read
In one paragraph

Article in PNAS nexus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

3 authors.

Yikai TangDepartment of Psychology, University of Toronto, 100 St. George Street, Toronto, ON, Canada M5S 3G3.ORCID https://orcid.org/0000-0002-3498-3557
William A CunninghamDepartment of Psychology, University of Toronto, 100 St. George Street, Toronto, ON, Canada M5S 3G3.ORCID https://orcid.org/0000-0002-7063-5859
Dirk B WaltherDepartment of Psychology, University of Toronto, 100 St. George Street, Toronto, ON, Canada M5S 3G3.ORCID https://orcid.org/0000-0001-8585-9858

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Energy efficiency is a major driving force in the evolution of organisms, and previous research implies that humans may have evolved pleasure-based signals to guide optimal actions. But could this energy-saving heuristic also apply to aesthetic pleasure? We test this hypothesis using both an in silico model of the visual system (VGG19) and human observers, finding strong evidence in both. First, we measure the proxy for metabolic cost incurred by VGG19-either pretrained for object and scene categorization or randomly initialized-as it processes 4,914 images of objects and scenes, revealing an inverse relationship between aesthetic preferences and metabolic cost, and only in the pretrained model. Next, we compare aesthetic ratings of visual stimuli to metabolic activity in the human visual system, measured via the blood oxygen level-dependent signal during functional magnetic resonance imaging. We observe the same inverse relationship between blood oxygen level dependent signals and aesthetic preferences in both early visual regions (V1, V2, and V4) and higher-level regions (fusiform face area, occipital place area, and parahippocampal place area). These findings suggest that aesthetic preferences may at least partially arise from an affective heuristic favoring low-energy states, and they offer a unified framework linking empirical evidence on visual discomfort with theories of processing fluency, image complexity, and prototypicality, providing a straightforward model for understanding aesthetic judgments.

Indexed as

aestheticsBOLDconvolutional neural networkmetabolic activityvisual cortex

Identifiers

PMID41341627
PMCPMC12670382

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.