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Brain activity varies with age in children with autistic traits (opens in a new tab)

medicalxpress.com · 2026-09-29

Short answerEvidenceSource

Short answer

Mixed

Mixed.

The claims we could check match the study, but some claims were not covered by the evidence reviewed.

  • 4 supported
  • 2 not covered

Checked against the study summary. The full text wasn't available, so some details couldn't be settled either way.

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1
2

NewsLink checks it

Mixed

Every claim we could check holds up. Four of six claims match the study. This overall rating is based only on the claims we could check. Two claims the study doesn't address.

  • 4 supported
  • 2 not covered
Open claim evidence
3
Then inspect each claim

Evidence layer

Claim by claim

Each claim gets a verdict. Expand it to see the evidence directly below.

6 claims in this story

Showing all 6 claimsChoose a verdict to focus the list.

Claim 1 of 6Not coveredThe researchers studied brain scans from 545 children ages 5 to 15 while they watched a 10-minute clip of Despicable Me inside an MRI machine.View evidenceHide evidence

As stated545 children ages 5 to 15; 10-minute clip

Why this verdict

The profile supports a sample of 545 youths ages 5–15 undergoing fMRI while watching a socially engaging movie. However, the abstract-level profile does not verify that the movie was a 10-minute clip or that it was specifically Despicable Me, so the full claim as stated is not fully verifiable at abstract depth.

1

Study evidence

In children younger than ~9 years, greater autistic traits (SRS-2) were associated with increased time spent in an activation state marked by higher somatomotor and visual network activation.

“This study examined the frequency of three previously identified activation states in 545 youths (ages 5-15 years...) from the Healthy Brain Network study as they watched a socially engaging movie.”
2

Study evidence

Across all ages, children with more ADHD symptoms spent less time in an activation state associated with greater cingulo-opercular network activation.

“...and whether these associations varied with age or co-occurring attention deficit hyperactivity disorder (ADHD) and anxiety symptoms (measured by the Strengths and Weaknesses Assessment of ADHD and Normal Behavior and the Screen for Child Anxiety Related Disorders).”
Claim 2 of 6Not coveredThe article says the differences were small and that larger studies are needed to confirm them, though the researchers suggest activation states could eventually help tailor interventions and track treatment response.View evidenceHide evidence

As statedsmall differences

Why this verdict

The profile supports the speculative implication that activation states may help tailor interventions or monitor progress. But the abstract-level profile does not report that the differences were small or that larger studies are needed to confirm them. Those caveats may come from the full paper or article context, but they are not verifiable from the supplied abstract-depth profile.

1

Study evidence

In children younger than ~9 years, greater autistic traits (SRS-2) were associated with increased time spent in an activation state marked by higher somatomotor and visual network activation.

“This study examined the frequency of three previously identified activation states in 545 youths (ages 5-15 years...) from the Healthy Brain Network study as they watched a socially engaging movie.”
2

Study evidence

Across all ages, children with more ADHD symptoms spent less time in an activation state associated with greater cingulo-opercular network activation.

“...and whether these associations varied with age or co-occurring attention deficit hyperactivity disorder (ADHD) and anxiety symptoms (measured by the Strengths and Weaknesses Assessment of ADHD and Normal Behavior and the Screen for Child Anxiety Related Disorders).”
Claim 3 of 6SupportedA new WashU Medicine study published Aug. 12 in the American Journal of Psychiatry reported that brain activity varies with age in children with autistic traits.View evidenceHide evidence

Why this verdict

The abstract-level profile supports the scientific core of the headline: autistic traits were associated with differences in whole-brain fMRI activation-state occupancy, and those associations varied by age. The claim is framed associationally rather than causally. Bibliographic details such as the exact publication date and institution are not central scientific findings in the supplied profile.

1

Study evidence

In children younger than ~9 years, greater autistic traits (SRS-2) were associated with increased time spent in an activation state marked by higher somatomotor and visual network activation.

“This study examined the frequency of three previously identified activation states in 545 youths (ages 5-15 years...) from the Healthy Brain Network study as they watched a socially engaging movie.”
Claim 4 of 6SupportedChildren younger than 9 with more autistic traits spent more time in the sight-and-movement activation state than peers with fewer autistic traits.View evidenceHide evidence

As statedyounger than 9 years

Why this verdict

The profile reports that at younger ages, specifically under 9 years, higher autistic traits were associated with more time in an activation state characterized by greater somatomotor and visual network activation, matching the story’s 'sight-and-movement' description.

1

Study evidence

In children younger than ~9 years, greater autistic traits (SRS-2) were associated with increased time spent in an activation state marked by higher somatomotor and visual network activation.

“This study examined the frequency of three previously identified activation states in 545 youths (ages 5-15 years...) from the Healthy Brain Network study as they watched a socially engaging movie.”
Claim 5 of 6SupportedFor children 14 and older, those with more autistic traits spent more time in the social-and-emotional activation state than their peers did.View evidenceHide evidence

As stated14 years and older

Why this verdict

The profile reports that at older ages, specifically greater than 14 years, higher autistic traits were associated with more time in an activation state characterized by greater default mode and ventral attention network activation. The story’s '14 and older' wording is a slight boundary simplification, but the core association is supported.

1

Study evidence

In children younger than ~9 years, greater autistic traits (SRS-2) were associated with increased time spent in an activation state marked by higher somatomotor and visual network activation.

“This study examined the frequency of three previously identified activation states in 545 youths (ages 5-15 years...) from the Healthy Brain Network study as they watched a socially engaging movie.”
Claim 6 of 6SupportedIn every age group, children with more ADHD symptoms spent less time in the attention state.View evidenceHide evidence

As statedevery age group

Why this verdict

The profile reports that across all ages, children with more ADHD symptoms spent less time in an activation state associated with greater cingulo-opercular network activation. The story’s 'attention state' is a simplified label for this cingulo-opercular-related state, but the direction and across-age framing are supported.

1

Study evidence

Across all ages, children with more ADHD symptoms spent less time in an activation state associated with greater cingulo-opercular network activation.

“...and whether these associations varied with age or co-occurring attention deficit hyperactivity disorder (ADHD) and anxiety symptoms (measured by the Strengths and Weaknesses Assessment of ADHD and Normal Behavior and the Screen for Child Anxiety Related Disorders).”
Then look for missing context

Context layer

What the story left out

Important study details the story did not include.

  • Anxiety symptoms were measured and included in the co-occurring symptom analyses, but the abstract does not report a distinct anxiety-symptom main effect.

    The story mentions ADHD symptoms but not anxiety symptoms or the fact that anxiety was part of the paper’s co-occurring symptom-dimension modeling.

    From observational cohort fMRI study (movie-watching)

  • Limitations at abstract depth: the profile does not provide effect sizes, confidence intervals, exact p-values, full covariate details, or multiple-comparison details.

    The story says the differences were small and larger studies are needed, but the supplied abstract-level profile does not provide quantitative effect-size information or full model details. Thus, these abstract-depth evidentiary limitations are not really addressed by the story’s caveats.

    From Observational cross-sectional neuroimaging cohort (Healthy Brain Network); observational cohort fMRI study (movie-watchi

7 things the story did carry across
  • Primary finding: autistic traits are associated with whole-brain activation-state occupancy during movie-watching fMRI, and the association varies by age.
  • Study design and sample: observational cross-sectional fMRI analysis of 545 youths ages 5–15 from the Healthy Brain Network during socially engaging movie viewing.
  • Younger-age result: under age 9, higher autistic traits were associated with more time in a somatomotor/visual-dominant activation state.
  • Older-age result: over age 14, higher autistic traits were associated with more time in a default-mode/ventral-attention–dominant activation state.
  • Secondary ADHD finding: across ages, higher ADHD symptom levels were associated with less time in a cingulo-opercular activation state.
  • Interpretive limitation: the study is observational, so associations should not be treated as causal effects.
  • Potential implication: activation-state measures may eventually help tailor interventions and monitor treatment or developmental progress.
Then read the study layer

Study layer

Study at a glance

Scan the study first. Expand only the parts you want to inspect.

Pieces of work

2

Evidence read

study summary

Lead result

human in vivo

1Lead resulthuman in vivoAutistic traits in youths are associated with differences in whole-brain fMRI activation-state occupancy during socioemotional processing (movie watching), and these associations vary by age (developmental moderation).Observational cross-sectional neuroimaging cohort (Healthy Brain Network)Expand

In plain English

Observational fMRI study of 545 youths (ages 5–15) from the Healthy Brain Network testing whether SRS-2 autistic trait scores predict time spent in three previously identified whole-brain activation states during viewing of a socially engaging movie, and whether those associations vary with age and co-occurring symptoms (ADHD, anxiety). Main results: autistic-trait associations with state occupancy differed by age (younger vs older), and ADHD symptoms were associated with reduced occupancy of a cingulo-opercular–dominant state.

Key findings

  • In children younger than ~9 years, greater autistic traits (SRS-2) were associated with increased time spent in an activation state marked by higher somatomotor and visual network activation.
  • In adolescents older than ~14 years, greater autistic traits (SRS-2) were associated with increased time spent in an activation state characterized by greater default mode and ventral attention network activation.
“This study examined the frequency of three previously identified activation states in 545 youths (ages 5-15 years...) from the Healthy Brain Network study as they watched a socially engaging movie.”
2human in vivoCo-occurring symptom dimensions (ADHD and anxiety symptoms) relate to activation-state occupancy during socioemotional processing, including effects that may be independent of autistic traits.observational cohort fMRI study (movie-watching)Expand

In plain English

In a sample of 545 youths (ages 5-15) from the Healthy Brain Network who completed a movie-watching fMRI paradigm, regression models relating co-occurring symptom dimensions (ADHD symptoms measured by the SWAN; anxiety symptoms measured by the SCARED) to time spent in previously identified whole-brain activation states found that greater ADHD symptoms were associated with less time in an activation state characterized by greater cingulo-opercular network activation across all ages. Models tested whether associations varied with age and autistic traits; the abstract does not report a corresponding anxiety-symptom main effect.

Key findings

  • Across all ages, children with more ADHD symptoms spent less time in an activation state associated with greater cingulo-opercular network activation.
  • Models tested whether associations between autistic traits and activation-state time varied with co-occurring ADHD and anxiety symptoms, but the abstract does not report a distinct anxiety-symptom main effect on activation-state occupancy.
“...and whether these associations varied with age or co-occurring attention deficit hyperactivity disorder (ADHD) and anxiety symptoms (measured by the Strengths and Weaknesses Assessment of ADHD and Normal Behavior and the Screen for Child Anxiety Related Disorders).”
What this piece can’t prove
  • Cross-sectional observational design limits causal interpretation.
  • Abstract does not specify control variables, multiple comparison correction, or reporter/source of symptom measures.

1 further detail could not be confirmed from the summary.

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