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

Researchers studied how brain differences and genetic factors relate to sensory issues in autism. They compared brain scans and saliva samples from 34 autistic people and 72 non-autistic people. They found that combining information about brain connectivity and genetic markers gave better results for understanding autism than looking at either factor alone. The study suggests that using multiple types of biological information together might help improve how autism is diagnosed.

This study examined how brain structure, brain connectivity, and genetic factors (DNA methylation) contribute to sensory differences in autism. Researchers compared 34 individuals with autism and 72 controls using sensory questionnaires, brain imaging, and saliva samples for genetic analysis. They found that combining brain imaging data with genetic markers provided better diagnostic accuracy than using either approach alone. Key findings included increased connectivity between the thalamus and cortex (brain regions involved in sensory processing) and specific genetic modifications in the arginine vasopressin receptor gene.

The machine learning analysis suggested that integrating multiple biological markers with behavioral assessments could improve autism diagnosis precision.

Results suggest potential for developing more precise diagnostic tools by combining brain imaging, genetic markers, and behavioral assessments. However, larger validation studies needed before clinical implementation. Findings may inform personalized approaches to understanding sensory differences in autism.

Small sample size (34 ASD participants). Study design unclear from abstract. Limited information about participant characteristics, methodology details, and statistical approaches. Cross-sectional design cannot establish causality between biological markers and autism diagnosis.

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.