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Updated: Jan 13, 2026

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging
Published on: September 12, 2011
Fetal functional connectivity prospectively associates with autistic traits in toddlerhood
Bosi Chen1, Iris Menu2, Lanxin Ji1
1Department of Child and Adolescent Psychiatry, New York University Grossman School of Medicine, New York, NY, USA.
Insights
This study found that functional brain connectivity in fetuses can predict autistic traits in toddlers. Fetal brain network differences are linked to later autism spectrum disorder (ASD) likelihood.
Area of Science:
- Neuroimaging
- Developmental Neuroscience
- Autism Spectrum Disorder (ASD) Research
Background:
- Autism spectrum disorder (ASD) is linked to altered brain connectivity, observable even in infancy.
- Previous research has not explored prenatal functional connectivity differences in fetuses who later develop autistic traits.
Purpose of the Study:
- To investigate if functional brain connectivity differences exist in the fetal stage in individuals who later exhibit autistic traits.
- To identify specific prenatal neural network patterns associated with later autistic traits.
Main Methods:
- Utilized longitudinal data from 62 children with fetal brain resting-state MRI scans and parent-reported autistic traits at age 3.
- Employed enrichment and specificity analyses to correlate fetal functional connectivity with autistic traits, controlling for other childhood psychopathology.
Main Results:
- Significant positive correlations were found between autistic traits and functional connectivity in the cingulate-left temporal and right prefrontal-left operculum network pairs.
- Visual network connectivity with prefrontal and opercular regions showed associations with autistic traits.
- Weaker cerebellum-right operculum connectivity was uniquely associated with higher autistic traits in specificity analysis.
Conclusions:
- This study provides the first in vivo, prospective evidence linking fetal brain functional network connectivity to autistic traits in toddlerhood.
- Findings suggest potential prenatal origins for ASD-related neural differences.
- Fetal resting-state MRI (rs-fMRI) may serve as a tool for identifying early neural signatures related to social-emotional development and ASD risk.
Abstract:
Accumulating evidence from neuroimaging studies has implicated widespread disruptions in brain connectivity in autism spectrum disorder (ASD), with altered connectivity patterns reported as early as infancy. However, it remains unexplored whether functional connectivity differences are evident prior to birth in the brain of fetuses who will later exhibit autistic traits in early childhood. In this study, we leveraged a longitudinal sample of 62 children with both quality-assured fetal brain resting-state MRI data and a parent-report measure of autistic traits at age 3 years. Enrichment analysis was employed to identify network pairs significantly correlated with autistic traits. Specificity analysis was conducted by additionally controlling for other childhood psychopathology. Our results demonstrated significant correlations between autistic traits and functional connectivity in the cingulate-left temporal and right prefrontal-left operculum network pairs in both the primary and specificity analyses. Visual network connectivity with prefrontal and opercular regions was also implicated. These network pairs demonstrated positive associations with autistic traits, indicating that stronger connectivity between these network pairs was associated with higher autistic traits. In contrast, weaker cerebellum-right operculum connectivity was associated with higher autistic traits, uniquely in the specificity analysis. This study provides the first in vivo evidence prospectively linking variation in functional network connectivity in the fetal brain to autistic traits in toddlerhood. These findings extend the current understanding of the prenatal brain origins of ASD and highlight the potential of fetal rs-fMRI as a tool to identify neural signatures related to social-emotional development and ASD likelihood.
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