Dissecting the heterogeneity of autism spectrum disorder with sensory behavior, brain, and epigenetic factors

Autism spectrum disorder (ASD), a disorder with heterogeneous etiology, is characterized by abnormal behavioral responses to sensory inputs. However, there is still limited understanding of how brain and epigenetic factors, along with behavioral abnormality, contribute to ASD. After completing Adolescent-Adult Sensory Profile, a self-report questinnaire, 34 individuals with ASD and 72 controls underwent neuroimaging scans to measure brain structural (cortical and subcortical volume) and functional (thalamo-cortical resting-state functional connectivity) characteristics. For epigenetic measures, we computed DNA methylation values of the oxytocin receptor and arginine vasopressin receptor (AVPR) genes from the participants' saliva. When sensory-related behavior was the default baseline, a machine learning algorithm demonstrated that the neuroimaging-epigenetic model outperformed the neuroimaging model or the epigenetic model. Thalamo-cortical hyperconnectivity and AVPR 1A epigenetic modification were found to be significant contributing factors in these models. By integrating neuroimaging and epigenetic biomarkers with behaviors, a more precise diagnosis of ASD can be achieved.

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Publication Details

Journal
Translational Psychiatry
Published
2025-09-01
DOI
https://doi.org/10.1038/s41398-025-03566-2
Citations
1
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
1.43

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Dissecting the heterogeneity of autism spectrum disorder with sensory behavior, brain, and epigenetic factors

Hidehiko Okazawa, Hirotaka Kosaka, Minyoung Jung, Yongjeon Cheong et al.
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Translational Psychiatry
Autism Spectrum Disorder Research
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article

Dissecting the heterogeneity of autism spectrum disorder with sensory behavior, brain, and epigenetic factors

Hidehiko Okazawa, Hirotaka Kosaka, Minyoung Jung, Yongjeon Cheong, Seonkyoung Lee, Jihyun Bae, Jihyeong Ro
article en
1 citations

Abstract

Autism spectrum disorder (ASD), a disorder with heterogeneous etiology, is characterized by abnormal behavioral responses to sensory inputs. However, there is still limited understanding of how brain and epigenetic factors, along with behavioral abnormality, contribute to ASD. After completing Adolescent-Adult Sensory Profile, a self-report questinnaire, 34 individuals with ASD and 72 controls underwent neuroimaging scans to measure brain structural (cortical and subcortical volume) and functional (thalamo-cortical resting-state functional connectivity) characteristics. For epigenetic measures, we computed DNA methylation values of the oxytocin receptor and arginine vasopressin receptor (AVPR) genes from the participants' saliva. When sensory-related behavior was the default baseline, a machine learning algorithm demonstrated that the neuroimaging-epigenetic model outperformed the neuroimaging model or the epigenetic model. Thalamo-cortical hyperconnectivity and AVPR 1A epigenetic modification were found to be significant contributing factors in these models. By integrating neuroimaging and epigenetic biomarkers with behaviors, a more precise diagnosis of ASD can be achieved.

Translational PsychiatryVol. 15(1)
University of Fukui (JP), Fukui University of Technology (JP), University of Fukui Hospital (JP), Korea Brain Research Institute (KR), Fukui Prefectural University (JP)
Korea Brain Research Institute, National Research Foundation, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 16%
Autism Spectrum Disorder Research
1.43
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