The study, conducted by researchers in Québec and Türkiye, included 66 autistic preschoolers and 55 non-autistic children between 1.57 and 7.59 years old. The autistic group included children with an official diagnosis or children undergoing diagnostic assessment who also had an autistic parent or older sibling. The comparison group included children without autism or other developmental conditions and excluded those with an autistic close family member. The autistic participants were, on average, slightly older than the non-autistic children, had a higher proportion of boys and came from households with somewhat lower reported incomes. Because these factors can influence developmental and behavioral measures, the researchers statistically controlled for age and family income when comparing temperament. Data were collected between 2020 and 2023 as part of the Maman S’adapte longitudinal project, much of it during the COVID-19 pandemic, and the timing of data collection was also considered in the analyses.

To measure temperament, the researchers used the Children’s Behavior Questionnaire, a parent-report instrument based on Rothbart’s model of early personality and self-regulation. The questionnaire organizes children’s behavior into three broad dimensions. Surgency, or extraversion, captures activity, enthusiasm, laughter, intense enjoyment and relative lack of shyness. Negative affectivity includes fear, sadness, discomfort and the intensity or persistence of distress. Effortful control refers to the capacity to focus and shift attention, inhibit an inappropriate response, regulate behavior and tolerate low-intensity activities. These abilities depend partly on executive attention systems: a child must notice competing stimuli, select a response and suppress impulses while maintaining a goal. In practical terms, effortful control is involved when a child waits for a turn, moves from one activity to another or calms down enough to follow instructions.

After accounting for age and household income, the autistic and non-autistic groups did not differ significantly in negative affectivity or surgency. This result contrasts with some earlier studies that reported greater negative emotionality and lower social enthusiasm among autistic children. The researchers found that these apparent differences can shift depending on the characteristics of the comparison groups and the variables included in the analysis. In this sample, age was related to negative affectivity, and omitting the covariates produced a modest group difference in which autistic children had higher scores. The clearest temperament difference involved effortful control. Adjusted scores averaged 5.52 in the non-autistic group and 4.30 in the autistic group, producing a large statistical effect. Older children and children from higher-income households also tended to have higher effortful-control scores, emphasizing why developmental and social context matter when interpreting behavioral assessments.

Sensory processing was assessed with the Short Sensory Profile, a 38-item questionnaire covering tactile sensitivity, taste and smell, movement, sensation seeking or under-responsiveness, auditory filtering, energy levels and visual or auditory sensitivity. Lower total scores indicate greater sensory discomfort. The instrument classifies children as showing typical performance, a probable difference or a definite difference in sensory responses. In the study, 52 of the autistic children were in the definite-difference category, six were in the probable-difference category and one fell within the typical range. By comparison, 38 non-autistic children had typical scores, 12 showed a probable difference and three showed a definite difference. These results reinforce that sensory differences are common in autism, but they also show that unusual sensory responses are not exclusive to autistic children. Sensory processing involves detecting, filtering and integrating information from the environment, as well as generating an adaptive behavioral response; disruption at any of these stages can make ordinary sounds, textures, movement or visual input unusually uncomfortable or difficult to ignore.

Across both groups, higher negative affectivity was associated with lower Short Sensory Profile scores, meaning greater sensory discomfort. The relationship remained similar in autistic and non-autistic children rather than being significantly stronger in one group. A child who is more emotionally reactive may therefore also be more likely to experience everyday sensory input as overwhelming, or sensory discomfort may intensify distress and make emotional recovery harder. The study cannot determine which direction the relationship runs. Temperament and sensory processing may influence each other over development, and the two measures also overlap conceptually: both involve reactivity, attention and regulation. Nevertheless, negative affectivity did not account for all the variation in sensory scores, suggesting that emotional reactivity and sensory discomfort are related but distinct characteristics. Contrary to the researchers’ predictions, surgency and effortful control were not significantly associated with sensory discomfort in the combined analysis.

Within the autistic group, the researchers then examined whether temperament and sensory discomfort were related to scores on the Childhood Autism Rating Scale, Second Edition. The scale rates the intensity and duration of behaviors across 15 areas, with higher scores indicating more pronounced autism-related characteristics. In a regression model that included effortful control and sensory discomfort, the two measures together explained 23 percent of the variation in CARS scores. Lower effortful control was associated with higher autism-characteristic scores, as was greater sensory discomfort. When age and family income were included as additional variables, the full model explained 25 percent of the variance, although sensory discomfort was the only significant predictor in that version. The statistical relationships are correlational, not evidence that poor self-regulation or sensory differences produce autism. Instead, they suggest that children with similar diagnoses may show different levels of observable difficulty partly because they differ in how they regulate attention and behavior and how their nervous systems respond to sensory input.

The findings could influence early assessment and support without turning temperament into another diagnostic test. A child with high sensory discomfort may struggle in a noisy classroom, reject certain clothing or foods, or become distressed during transitions; a child with low effortful control may find it especially difficult to shift attention, inhibit a response or recover from frustration. Recognizing these patterns could help clinicians and educators tailor environments, reduce overwhelming stimuli and teach regulation strategies. Families might also benefit from understanding that behavior interpreted as oppositional or inattentive can reflect a mismatch between a child’s sensory demands and regulatory capacity. The study has important limits: its sample was relatively small and recruited for a broader project rather than powered in advance for every analysis; mothers completed all questionnaires; diagnostic information relied partly on parental reports during pandemic restrictions; and the CARS assessment was based on structured telephone interviews rather than direct observation. Some children were younger than the age for which the Children’s Behavior Questionnaire is typically recommended, and autistic participants included co-occurring ADHD and epilepsy. Larger, clinically confirmed and longitudinal studies will be needed to determine how sensory processing and effortful control change over time and how much they improve the usefulness of individualized early intervention.

Subject of Research: The relationships among temperament, sensory processing, and autism characteristics in autistic and non-autistic preschool children

Article Title: Exploring the Link Between Temperament, Sensory Processing, and Characteristics of Autism in Autistic and Non-Autistic Children

Article References: Ertekin, Z., Périard-Larivée, D., Meilleur, A. et al. “Exploring the Link Between Temperament, Sensory Processing, and Characteristics of Autism in Autistic and Non-Autistic Children.” Child Psychiatry and Human Development (2026). Original research article

Image Credits: AI Generated

DOI: 10.1007/s10578-026-02033-3

Keywords: autism, autistic children, temperament, effortful control, negative affectivity, sensory processing, sensory discomfort, early childhood, child development

Autism spectrum disorder affects millions worldwide, yet the underlying biological and behavioral components remain elusive despite decades of research. What makes this latest work so remarkable is the synthesis of three pivotal factors: sensory behavior profiles, brain architecture, and epigenetic modifications. These components are analyzed not as isolated phenomena but as interconnected systems converging to shape the diverse phenotypes observed in individuals with ASD. This holistic perspective significantly pushes the boundaries of how the disorder is conceptualized and studied.

Traditional studies on ASD have largely focused on singular aspects—ranging from genetic predispositions to observable behavioral traits or brain imaging results. However, this approach has often led to fragmented insights and inconsistent findings. The Cheong et al. study, therefore, represents a paradigm shift by employing rigorous methodology to integrate these different layers. By doing so, the team demonstrates that differences in sensory processing are not just symptoms but are intricately linked with specific brain microstructures and epigenetic regulation patterns. This kind of integrative analysis may explain why ASD is so heterogeneous in presentation and progression.

One of the key breakthroughs lies in the detailed analysis of sensory behaviors. Sensory sensitivities, including hyper- or hypo-reactivity to stimuli, are increasingly recognized as core components of ASD, but mechanisms linking these behaviors to brain and epigenetic changes have remained poorly understood. Through advanced behavioral assays, the researchers categorized sensory profiles that could distinguish subgroups within the ASD population. This stratification was critical, as it illuminated that individuals with distinct sensory phenotypes also exhibited unique neurobiological and epigenomic signatures, suggesting sensory behavior as a valuable endophenotype for ASD.

Concurrently, high-resolution neuroimaging techniques revealed nuanced brain structural differences corresponding to these sensory profiles. The study utilized sophisticated MRI analyses that highlighted region-specific variabilities, particularly focusing on circuits involved in sensory processing and integration. These findings support theories positing that atypical connectivity and microstructure within these regions contribute directly to sensory abnormalities and, by extension, to the broader ASD phenotype.

Adding another layer, the research incorporated epigenetic data analysis from peripheral tissue samples of the participants. Epigenetics—heritable, reversible changes in gene expression that do not involve alterations to the underlying DNA sequence—represents a promising area for understanding environmental influences on neurodevelopmental disorders like ASD. The team found distinct DNA methylation patterns correlated with both sensory behavior subtypes and brain imaging results, suggesting that environmental or developmental factors might epigenetically sculpt neural pathways pertinent to sensory processing.

Remarkably, the integrative dataset allowed the researchers to map biochemical and molecular mechanisms that likely underpin the sensory and brain differences identified. These mechanisms could involve synaptic plasticity modulation, neuronal excitability, or immune-related pathways, all regulated via epigenetic modifications. This complex interplay sheds light on how early environmental exposures, potentially including prenatal stress or nutritional factors, may influence ASD pathology through epigenetic alterations.

Perhaps most exciting from a clinical standpoint is how these findings can transform ASD diagnosis and treatment. Instead of a one-size-fits-all model, the results advocate for a precision medicine approach where individuals are classified based on their unique sensory, neuroanatomical, and epigenetic profiles. Such stratification could guide targeted therapeutic interventions, which might include sensory integration therapies, neuromodulation techniques, or epigenetic-targeted pharmacological agents. This personalized framework has vast potential to improve outcomes and quality of life for people on the autism spectrum.

Furthermore, the study highlights the potential of sensory behavior assessments as a non-invasive, affordable screening tool. By correlating sensory profiles with brain and molecular markers, clinicians might foresee underlying neurobiological dysregulations without resorting immediately to costly imaging or genetic profiling. This could be particularly beneficial for early identification in children, where prompt intervention is most effective.

From a scientific perspective, this integrative model encourages future research to adopt similarly comprehensive designs encompassing behavioral, neuroimaging, and molecular layers. It underscores the need for longitudinal studies tracking how these factors evolve over development and in response to environmental influences or therapies. Such data would be invaluable to parse out causal relationships and delineate critical windows for intervention.

The study’s methodological rigor also contributes to its impact. Utilizing advanced statistical models and machine learning algorithms ensured robust pattern recognition amidst complex, multidimensional data sets. This interdisciplinary methodology showcases how modern computational techniques can handle and optimize the interpretation of large-scale neuropsychiatric data.

In summary, the work by Cheong, Bae, Lee, and colleagues represents a milestone in ASD research. By dissecting the heterogeneity of autism through the lenses of sensory behavior, brain structure, and epigenetic factors, it redefines our understanding of the disorder from fragmented observations into a cohesive, biologically grounded narrative. The implications are far-reaching, promising transformative shifts in both scientific inquiry and clinical care for autism.

This new framework not only propels research forward but also offers hope for the millions affected by ASD and their families. The road ahead, while complex, is clearer today, illuminated by the integration of sensory, neural, and epigenetic insights. As this research trajectory advances, it may well inspire the development of personalized diagnostics and treatments that finally address the diverse needs of individuals on the autism spectrum.

The integration of behavioral phenotypes with neurobiological and molecular data may also serve as a model for studying other neurodevelopmental and psychiatric disorders marked by heterogeneity. Conditions such as schizophrenia or attention-deficit hyperactivity disorder (ADHD) might benefit from similar multi-level analyses to unearth underlying mechanisms and improve stratification.

Above all, the study exemplifies the power of translational psychiatry—bridging basic neuroscience with clinical application to yield tangible benefits for patient care. It serves as an exemplar of how interdisciplinary collaboration, advanced technology, and innovative thinking can come together to tackle some of the most challenging puzzles in mental health.

As the field continues to evolve, this study sets a new standard and provides a roadmap for future investigations into the biological basis of ASD. Its multi-dimensional, integrative approach represents a new era in autism research that holds the promise of more precise, effective, and compassionate care for individuals across the autism spectrum.

Subject of Research: Autism spectrum disorder heterogeneity analyzed through sensory behavior, brain imaging, and epigenetic factors.

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

Article References:
Cheong, Y., Bae, J., Lee, S. et al. Dissecting the heterogeneity of autism spectrum disorder with sensory behavior, brain, and epigenetic factors. Transl Psychiatry 15, 337 (2025). https://doi.org/10.1038/s41398-025-03566-2

Image Credits: AI Generated

DOI: https://doi.org/10.1038/s41398-025-03566-2