Evidence map›Paper›PMID 42491026›Full record

SynthesisFrontiers in human neuroscience2026

Naturalistic stimuli in neuroimaging studies of autism spectrum disorder: a systematic review.

Ioannis Ntoumanis, Christos Papadelis

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in human neuroscience, 2026. 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

2 authors.

Ioannis NtoumanisJane and John Justin Institute for Mind Health, Cook Children's Health Care System, Fort Worth, TX, United States.
Christos PapadelisJane and John Justin Institute for Mind Health, Cook Children's Health Care System, Fort Worth, TX, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Naturalistic stimuli, such as movies and socially rich videos, are increasingly used in neuroimaging to study brain function under conditions that approximate real-world experience. This approach may be particularly informative for autism spectrum disorder (ASD), where social and emotional differences often emerge in complex, dynamic environments that simplified paradigms may not adequately capture. Here, we provide a systematic review of neuroimaging studies that have employed naturalistic stimuli in ASD research. Our goals are to: (i) summarize existing findings; (ii) identify convergent neural findings across different data analysis methods; and (iii) clarify conceptual and methodological limitations that constrain interpretation. Across studies, autistic individuals often show reduced intersubject neural synchronization during naturalistic viewing, particularly in brain regions supporting social cognition and theory of mind. Multiple reports additionally indicate alterations in large-scale functional network organization, although results vary with stimulus type and data analysis used. Some studies have also linked these neural differences to behavioral measures, including autistic traits. Together, these findings suggest that naturalistic stimuli offer a promising framework for capturing heterogeneity in ASD while also introducing challenges related to experimental design and interpretation. We conclude by outlining methodological recommendations to guide future work in this developing field.

Indexed as

autism spectrum disorderfunctional connectivityintersubject correlationnaturalistic stimulineuroimagingsocial cognition

Identifiers

PMID42491026
PMCPMC13375880

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.