Irritability in autism examined through network analysis of phenotypic and physiological correlates

Symptoms of irritability are commonly reported in autism, yet correlates of this domain remain poorly understood. While prevalence estimates in the literature vary considerably, they range up to 80%. Irritability can interfere with daily functioning, social relationships, and academic performance. Despite years of research and the availability of approved medications, intervention outcomes for irritability remain highly variable. To advance understanding and inform more targeted, personalized interventions, the present study aimed to clarify the correlates of irritability in autism using network analysis, an analytical tool suited to capture complex associations across interconnected variables. We examined demographic, phenotypic, and physiological factors in a sample of autistic and neurotypical children. Our findings identified strong direct associations between irritability and externalizing behaviors, emotion dysregulation, autism features, and negative affect. Physiological responses, including heart rate reactivity and variability, were indirectly connected to irritability through links with self-regulation abilities and ADHD traits. These results highlight the importance of conceptualizing irritability in autism as part of a broader, interconnected network of influences rather than an isolated symptom. Recognizing these relationships informs potential targets for future intervention studies.

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Publication Details

Journal
Scientific Reports
Published
2025-12-24
DOI
https://doi.org/10.1038/s41598-025-28408-5
Citations
1
Primary Topic
Autism Spectrum Disorder Research
Type
article
Field-Weighted Citation Impact
1.43

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article

Irritability in autism examined through network analysis of phenotypic and physiological correlates

Melanie Penner, Evdokia Anagnostou, Tithi Paul, Sara Alatrash et al.
1 citations
Scientific Reports
Autism Spectrum Disorder Research
1.43
article

Irritability in autism examined through network analysis of phenotypic and physiological correlates

Melanie Penner, Evdokia Anagnostou, Tithi Paul, Sara Alatrash, Atena Roshan Fekr, Brian Jessica A., Suneeta Monga, Azadeh Kushki, Brendan F. Andrade
article en
1 citations

Abstract

Symptoms of irritability are commonly reported in autism, yet correlates of this domain remain poorly understood. While prevalence estimates in the literature vary considerably, they range up to 80%. Irritability can interfere with daily functioning, social relationships, and academic performance. Despite years of research and the availability of approved medications, intervention outcomes for irritability remain highly variable. To advance understanding and inform more targeted, personalized interventions, the present study aimed to clarify the correlates of irritability in autism using network analysis, an analytical tool suited to capture complex associations across interconnected variables. We examined demographic, phenotypic, and physiological factors in a sample of autistic and neurotypical children. Our findings identified strong direct associations between irritability and externalizing behaviors, emotion dysregulation, autism features, and negative affect. Physiological responses, including heart rate reactivity and variability, were indirectly connected to irritability through links with self-regulation abilities and ADHD traits. These results highlight the importance of conceptualizing irritability in autism as part of a broader, interconnected network of influences rather than an isolated symptom. Recognizing these relationships informs potential targets for future intervention studies.

Scientific ReportsVol. 15(1)
University Health Network (CA), Centre for Addiction and Mental Health (CA), University of Toronto (CA), Toronto Rehabilitation Institute (CA), Hospital for Sick Children (CA), Holland Bloorview Kids Rehabilitation Hospital (CA)
Canada Research Chairs, Canadian Institutes of Health Research
Openalex Percentile: Top 13%
Autism Spectrum Disorder Research
1.43
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