Large-scale neural network compensation associated with camouflaging in trait autism and its potential mental health costs.
Han Guo, Xiaobing Chen, Aihua Zhou and 4 others
PMID 41742299WHAT IT FOUND
In adults with high autistic traits, frequent social camouflaging linked to stronger brain network connectivity between self-reflection and control systems.
This specific neural pattern mediated the link between camouflaging and higher anxiety and depression scores. The study describes an association in healthy adults, not a causal mechanism.
Key findings
01Camouflaging was positively correlated with both depression and trait anxiety scores across the whole sample.
02For individuals with high autistic traits, greater camouflaging was associated with stronger functional connectivity between the Default Mode Network and the Cingulo-Opercular Network.
03This specific brain connectivity pattern mediated the relationship between camouflaging and mental health outcomes, but only in individuals with high autistic traits.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
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What it does not show
The sample consisted of healthy adults without formal autism diagnoses, though some scored above clinical cut-offs on trait measures. The study was cross-sectional, so it cannot prove that camouflaging causes the observed brain changes or mental health issues. The sample was heavily female (76 females vs 34 males), and exploratory analyses suggest the effects were driven primarily by females. Findings are based on self-report questionnaires, which are subject to bias and do not capture real-time social behavior. Resting-state fMRI measures intrinsic connectivity, not brain activity during actual social camouflaging tasks.
Declared interests
The authors declared no competing interests. The study was supported by non-U.S. government funding.
The easy way to misread this
Do not interpret the brain connectivity findings as a diagnostic tool or a causal mechanism. The study shows an association in a specific group of healthy adults with high autistic traits, not in clinically diagnosed autistic individuals, and the cross-sectional design prevents any conclusion about cause and effect.
Summarised by AI from the full paper, without a clinician reviewing it. Check it against the source before it changes what you do. Read it on PubMed →