Evidence map›Paper›PMID 40478848›Full record

ArticlePloS one2025

Visual feature analysis on selective appetite in individuals with autism spectrum disorders.

Kazunori Terada, Taku Imaizumi, Kazuhiro Ueda, Natsuki Nishikawa, Haruto Yoshida, Yukiya Taki, Shunsuke Fujii, Lu Li, Masashi Komori, Kunihito Kato and 1 more

Abstract read
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In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Kazunori TeradaFaculty of Engineering, Department of Electrical, Electronic, and Computer Engineering, Gifu University, Gifu, Japan.
Taku ImaizumiGraduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo, Japan.
Kazuhiro UedaGraduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1244-7945
Natsuki NishikawaDepartment of Neuropsychiatry, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.
Haruto YoshidaFaculty of Engineering, Department of Electrical, Electronic, and Computer Engineering, Gifu University, Gifu, Japan.
Yukiya TakiFaculty of Engineering, Department of Electrical, Electronic, and Computer Engineering, Gifu University, Gifu, Japan.
Shunsuke FujiiFaculty of Engineering, Department of Electrical, Electronic, and Computer Engineering, Gifu University, Gifu, Japan.
Lu LiGraduate School of Interdisciplinary Information Studies, The University of Tokyo, Tokyo, Japan.ORCID https://orcid.org/0009-0004-6575-9752
Masashi KomoriHandling of Personal Information at Osaka Electro-Communication University, Osaka, Japan.
Kunihito KatoFaculty of Engineering, Department of Electrical, Electronic, and Computer Engineering, Gifu University, Gifu, Japan.
Hirokazu KumazakiDepartment of Neuropsychiatry, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki, Japan.ORCID https://orcid.org/0000-0002-2567-0276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals with autism spectrum disorders (ASD) experience more severe selective eating problems than their neurotypical peers. Identifying the causes of selective eating behavior poses a considerable challenge, even for caregivers. Accurate identification of the underlying causes of this behavior is essential for developing interventions aimed at overcoming dysfunctional, unbalanced diets. However, studies that meticulously identify the causes of selective eating behaviors are scarce. This investigation aims to explore the differences in preferences for sunny-side-up eggs between individuals with ASD and those with typical development (TD), focusing on the factors influencing their likes and dislikes through a systematic analysis of visual features.

methodThirty-nine individuals with ASD (mean age, 23.4 ± 4.7 years; 82% men) and fifty individuals with TD (mean age, 22.2 ± 1.3 years; 64% men) participated in this study. We used a total of 50 images of sunny-side-up eggs as visual stimuli. Using Non-negative Matrix Factorization and Decision Tree analysis, factors associated with visual preferences for sunny-side-up eggs were identified. DATA AND

resultsWe could identify factors associated with visual preferences for sunny-side-up eggs. Subsequent linear regression analysis provided insight into how these visual features delineate preference boundaries between liked and disliked foods, with noteworthy distinctions emerging between the ASD and TD groups.

conclusionsThis study provides novel insights into the visual determinants of food preferences in individuals with ASD through systematic analysis of image features. Our findings indicated the potential to predict preferences while elucidating the causes of selective eating behaviors, thereby offering solutions for individuals with ASD.

Indexed as

AppetiteAutism Spectrum DisorderFeeding BehaviorFood PreferencesAdultEggsFemaleHumansMalePhotic StimulationYoung Adult

Identifiers

PMID40478848
PMCPMC12143564

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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.