Selective mutism is an anxiety disorder in which a child fails to speak in particular social or unfamiliar settings, most commonly at school or in public, despite producing fluent speech at home. Estimates suggest the condition affects at least 0.2 to 2 percent of the population, and documented prevalence continues to rise as awareness and assessment improve. The consequences are far from trivial. Children with selective mutism show impairments in academic achievement, social interaction, and general functioning wherever speaking is demanded of them, along with elevated rates of comorbid psychiatric conditions, most often social anxiety disorder. Long-term follow-up studies indicate that untreated selective mutism can predict persistent social skills deficits, educational and occupational difficulties, and low self-esteem well into adolescence and adulthood. Despite this burden, research into the family dynamics that sustain the disorder has lagged behind work on other childhood anxiety conditions, and the study’s authors argue that a missing measurement tool is a central reason why.

Family accommodation was first described in the context of pediatric obsessive-compulsive disorder in the mid-1990s, where clinicians noticed that relatives often participated in a child’s rituals or modified their own routines to reduce the child’s distress. The concept has since expanded across the full spectrum of childhood anxiety. Research indicates that as many as 88 to 97 percent of caregivers of anxious children engage in at least some accommodating behavior. In the short term, accommodation works: the child’s distress drops, the household regains calm. But that relief operates as negative reinforcement, teaching both child and parent that avoidance is the solution. Over time, the child is deprived of opportunities to develop independent mastery and self-efficacy, to learn through experience that feared outcomes rarely materialize. A meta-analysis by Iniesta-Sepúlveda and colleagues found that accommodation tracks anxiety severity across development, and that age does not meaningfully moderate the link, meaning these dynamics matter as much for adolescents as for preschoolers.

The problem, the researchers explain, is that generic accommodation measures may systematically miss the accommodations that define selective mutism. Established instruments such as the Family Accommodation Scale–Anxiety, the Pediatric Accommodation Scale, and the Family Accommodation Checklist and Interference Scale ask parents broad questions about modifying routines, facilitating avoidance, or providing reassurance. None specify anything about verbal contexts. A parent who speaks for their child dozens of times a day may not conceptualize that behavior as accommodation at all, and will therefore score low on a generic scale even while carrying out a textbook avoidance-enabling behavior dozens of times each week. Only three prior studies had examined accommodation in selective mutism, with mixed findings: two found significant associations with symptom severity, one did not. The inconsistency, the team hypothesized, might be an artifact of the instruments themselves.

To build a better tool, Kamenetskiy, Furr, Herrera, and their collaborators generated an initial pool of 21 items organized into four conceptually distinct sections, drawing on their own clinical expertise and consultation with ten therapists who carry heavy caseloads of selective mutism cases. The first three sections probe how often caregivers speak or answer for their child (surrogate speaking), allow whispered communication, and permit purely nonverbal communication such as nodding or pointing. Crucially, each of these sections asks about five specific situations: interactions with familiar adults, strangers, familiar peers, unfamiliar peers, and ordering at a restaurant, a structure that mirrors functional assessment tools used in the field. The fourth section covers instrumental accommodation, meaning active efforts to restructure situations that demand speech, such as persuading a teacher to excuse the child from a class presentation or accompanying the child on field trips in case speaking is required. Each item is rated from zero (never) to five (always), and a Spanish version was subjected to rigorous translation and back-translation.

The sample was unusually well suited to the question: 412 treatment-seeking anxious youth aged 2 to 18 and their caregivers, recruited from two university-affiliated specialty anxiety clinics, the Mental health Interventions and Novel Therapeutics Program at Florida International University and the Center for Anxiety and Related Disorders at Boston University. Slightly more than half of the children, 217 of them, met diagnostic criteria for selective mutism, a far higher proportion than in typical anxiety samples. Diagnoses were established with the Anxiety Disorders Interview Schedule for Children and Parents, administered by trained assessors with documented interrater reliability exceeding a kappa of 0.80. Roughly half the sample was Hispanic and/or Latinx, and families could complete questionnaires in English or Spanish, an important consideration given the elevated prevalence concerns for selective mutism in multilingual communities.

The psychometric analysis relied on confirmatory factor analysis using polychoric correlation matrices and weighted least squares estimation, appropriate for the ordinal rating-scale data, with maximum likelihood estimation run in parallel as a robustness check. Four theoretically derived models competed. A single-factor model including all 21 items fit poorly, as did four-factor models retaining all items or excluding items about familiar adults. The winning model dropped the three items concerning interactions with familiar peers, yielding an 18-item, four-factor structure corresponding to the subscales of Surrogate Speaking, Permitting of Whispered Communication, Permitting of Nonverbal Communication, and Instrumental Accommodation, with all fit indices landing in the good range. Internal consistency was excellent, with Cronbach’s alpha of 0.94 for the total score and between 0.86 and 0.94 for the subscales, alongside a Spearman-Brown split-half reliability of 0.84 and an average inter-item correlation of 0.42.

The clinical findings were striking. Nearly everyone accommodates: 96.1 percent of caregivers reported engaging in at least one of the assessed behaviors when their child’s speech was expected. The single most common accommodation was speaking for one’s child with strangers, reported at least sometimes by 75 percent of the full sample, and by 87.6 percent of parents of children with selective mutism, 73.3 percent of whom did so often or always. After statistically controlling for child age and the number of anxiety diagnoses, caregivers of children with selective mutism scored significantly higher than other anxious families on the SAVE total and on every one of the four subscales, results that survived Holm-Bonferroni correction for multiple comparisons. Convergent validity was supported by significant correlations with general accommodation measures, selective mutism symptoms on the Selective Mutism Questionnaire, and internalizing problems on the Child Behavior Checklist, while associations with externalizing problems were weak and non-significant when internalizing symptoms were modeled simultaneously, evidence of divergent validity.

Perhaps most importantly, the SAVE demonstrated incremental validity. In three hierarchical regression models, general family accommodation measured by the FASA or the FACLIS predicted selective mutism severity on its own, but once the SAVE entered the equation, its contributions shrank to negligible levels while the SAVE accounted for large additional portions of variance. In other words, the SAVE captures something that established instruments miss: the subtle rescue behaviors embedded in everyday verbal encounters. Notably, familiar peers dropped out of the final factor structure entirely, which the authors interpret intriguingly. Children with selective mutism often have a trusted friend or two with whom they speak, and those friends sometimes end up speaking for the child at school. Familiar peers, the authors suggest, may function less as triggers for parental accommodation and more as agents of accommodation themselves, a dynamic that deserves its own line of research.

The authors are careful to note limitations. The SAVE relies on a single caregiver’s self-report, mostly mothers, and does not yet assess the distress or interference that accommodation causes, nor was it compared against the Pediatric Accommodation Scale. The cross-sectional design precludes conclusions about temporal precedence or causality, and the sample skewed toward White, middle-to-high socioeconomic status, treatment-seeking families. Still, the implications are substantial. Prior work in pediatric OCD and anxiety has shown that reductions in accommodation can drive downstream improvements in child symptoms, and the SAVE now gives researchers a tool to test whether the same mechanism operates in selective mutism treatment, potentially clarifying the active ingredients of family-based interventions adapted from Parent-Child Interaction Therapy and intensive group behavioral treatment. For clinicians, the measure offers a way to individualize case conceptualization, set concrete treatment targets, and track family change over time. For parents, the message embedded in the data is gently sobering: answering for a quiet child at the counter may ease the moment, but the evidence suggests that the road out of silence runs through the very encounters families have learned to bypass.

Within the scope of this study, the researchers employed a comprehensive methodology aimed at assessing the facial emotion recognition abilities of children and adolescents. A total of three separate groups were established: those diagnosed with ASD, individuals with ADHD, and a control group composed of neurotypical peers. Each participant was subjected to a series of tasks designed to evaluate their ability to identify a range of emotions conveyed through facial expressions, such as happiness, sadness, anger, and fear. The results revealed striking differences in performance across the groups, underscoring the unique social deficits experienced by those with neurodevelopmental disorders.

One of the most compelling findings of the study was the marked difficulty that children with ASD exhibited in accurately interpreting facial emotions, particularly emotions that required a nuanced understanding of subtle social cues. This impairment can significantly hinder their ability to form connections with peers and engage in successful interactions, often resulting in social isolation. Conversely, adolescents with ADHD displayed different patterns of emotion recognition; they struggled more with impulsivity and attention regulation, which subsequently influenced their ability to process emotional information swiftly and accurately.

Interestingly, the study also explored the interplay between emotion recognition abilities and the broader context of emotional processing. The researchers posited that children with ASD not only have challenges recognizing facial expressions but also often struggle with understanding the emotional context that accompanies these expressions. This lack of context awareness can intensify feelings of confusion and anxiety in social settings. By utilizing a scientific lens to dissect these complexities, the authors advocate for tailored interventions that not only focus on enhancing recognition skills but also aim to foster a comprehensive understanding of social dynamics.

The implications of this research extend beyond academic curiosity; they signal a need for improved educational strategies and therapeutic practices for children with neurodevelopmental disorders. Programs could be developed to specifically address and strengthen the social cognition skills of these individuals, fostering environments where they can practice and refine their emotion recognition capabilities in a safe and structured manner. Furthermore, by training educators and caregivers to adopt strategies that accommodate cognitive differences in emotion processing, we might better support these children’s social development.

Neuroscientific studies have often sought to explain the underlying mechanisms that contribute to these disparities in emotional recognition abilities. Research has suggested that atypical brain development in regions responsible for social cognition and emotional processing, such as the amygdala and prefrontal cortex, plays a pivotal role in these disorders. Unraveling these neurological intricacies could lead to novel therapeutic approaches that target specific brain functions, potentially enhancing social skills in affected individuals.

Additionally, incorporating technology into treatment approaches represents an exciting frontier for advancing emotion recognition in children with neurodevelopmental disorders. Virtual reality (VR) and artificial intelligence (AI) have already shown promise in creating immersive environments where users can engage in role-playing exercises designed to improve their social skills. By simulating real-life scenarios, these technologies facilitate repeated practice and provide instant feedback, allowing users to develop their emotion recognition skills in a controlled setting.

The cross-disciplinary nature of this research underscores its vital importance, as psychologists, educators, and healthcare professionals alike have the opportunity to collaborate in developing innovative solutions to improve the quality of life for individuals with neurodevelopmental disorders. As this study highlights the significant challenges faced by these individuals, it concurrently illuminates the potential for meaningful interventions that could enhance their social interactions and overall well-being.

When translating research findings into actionable insights, researchers emphasize the need for ongoing studies to validate and build upon the initial findings. As we continue to explore the intricate relationship between neurodevelopmental disorders and emotion recognition abilities, it is crucial to consider the diverse experiences of those affected and ensure that future research is inclusive and representative.

The societal implications of these findings are profound, extending beyond individual cases to impact community health and educational systems. Recognizing the importance of emotional intelligence in fostering healthy relationships and effective communication paves the way for broader initiatives aimed at building empathy and understanding within society. Future public health campaigns could focus on raising awareness about neurodevelopmental disorders, advocating for inclusive practices, and promoting social initiatives that celebrate diversity.

Public discourse surrounding neurodevelopmental disorders is evolving, with increasing recognition of the unique contributions that individuals with these conditions can offer. The stories of resilience and innovation that arise from these communities inspire us to rethink our approaches to education, healthcare, and social policy. By striving to create inclusive environments, we embrace a future where individuals with diverse neurological profiles can thrive and contribute meaningfully to society.

In conclusion, the research findings by Crisci, Lievore, and Mammarella offer vital insights into the challenges of facial emotion recognition in children and adolescents with neurodevelopmental disorders. This study not only highlights the urgent need for targeted interventions and support systems but also emphasizes the importance of fostering inclusivity and understanding in society. As researchers continue to delve deeper into these complexities, we remain hopeful for a future where all individuals are empowered to achieve their full potential, regardless of their neurodevelopmental challenges.

Subject of Research: Comparative study of facial emotion recognition in children and adolescents with and without neurodevelopmental disorders.

Article Title: Facial Emotion Recognition in Neurodevelopmental Disorders: A Comparative Study in Children and Adolescents With and Without Autism, ADHD and Specific Learning Disorders.

Article References: Crisci, G., Lievore, R. & Mammarella, I.C. Facial Emotion Recognition in Neurodevelopmental Disorders: A Comparative Study in Children and Adolescents With and Without Autism, ADHD and Specific Learning Disorders. J Autism Dev Disord (2025). https://doi.org/10.1007/s10803-025-07120-3

Image Credits: AI Generated

DOI: https://doi.org/10.1007/s10803-025-07120-3

Keywords: Neurodevelopmental Disorders, Autism, ADHD, Facial Emotion Recognition, Social Cognition.