Autism Spectrum Disorder Traits Research Articles

Autism Spectrum Disorder Traits Predict Interoceptive Deficits and Eating Disorder Symptomatology in Children and Adolescents with Anorexia Nervosa—A Cross-Sectional Analysis: Italian Preliminary Data

Autism Spectrum Disorder Traits Predict Interoceptive Deficits and Eating Disorder Symptomatology in Children and Adolescents with Anorexia Nervosa—A Cross-Sectional Analysis: Italian Preliminary Data

Delusion-proneness predicts COVID-19 vaccination behavior.

Vaccination-related conspiracy ideation is related to reduced compliance with public health advice globally. Such beliefs have previously been linked to the delusion-proneness trait. However, it is not known how this extends to getting vaccinated. Here, we examined how delusion-proneness, as assessed by Peters et al. Delusions Inventory (PDI), is associated with COVID-19 vaccination in a sample of 273 subjects. We also examined whether delusion-proneness predicted the time to get vaccinated, after the vaccine became available. Unvaccinated subjects were more delusion-prone than vaccinated subjects (W=2225.5, p<0.001, effect-size=0.27). Among vaccinated subjects, higher delusion-proneness was related to longer time to get vaccinated ( =0.27, p<0.001). These effects remained after adjusting for anxiety, ADHD, and ASD (Autism Spectrum Disorder) traits as well as for psychiatric diagnoses and sex. Path analyses indicated that the effect of delusion-proneness on vaccination rate was strongly mediated through COVID-19 conspiracy ideation, suggesting that delusion prone individuals first develop specific delusion-like ideas regarding vaccination, which then delays vaccination. An exploratory analysis of written text by subjects instructed to explain why they had vaccinated or not, revealed a difference in reasoning between the groups. Unvaccinated individuals were primarily motivated by concerns about personal safety and potential side effects, while vaccinated individuals stated a desire to protect themselves and others as the primary reasons to get vaccinated. Our results suggest that delusion-proneness is a key factor for attaining conspiracy beliefs, at least in relation to COVID-19 pandemic, and associated with lower vaccination rates as well as longer time to get vaccinated.

The Prevalence of Autistic Traits in a Sample of Young Adults Referred to a Generalized Mental Health Outpatient Clinic.

The diagnosis of Autism Spectrum Disorders (ASD) is undergoing significant revisions, impacting prevalence estimates in the general population. Moreover, the rise of a dimensional perspective on psychopathology has broadened our understanding of autism, recognizing that subthreshold autistic features extend throughout the general population. However, there remains a limited understanding of the prevalence of ASD traits in individuals with psychiatric disorders, particularly in young adults, who are at an age where several mental health conditions emerge. The aim of this study was to evaluate the prevalence of ASD traits in a sample of young adults (18-24 years old) attending a generalized mental health outpatient clinic. A total of 259 young adult patients completed the self-report screening questionnaires Autism Quotient (AQ) and Ritvo Autism and Asperger Diagnostic Scale-Revised (RAADS-R). A total of 16.2% of our sample scored above the cut-off in both scales; this percentage decreased to 13.13% when restricting the RAADS-R cut-off to >119, as suggested for clinical samples. The association with sociodemographic features is discussed. We argue that screening for autistic traits should be integrated into the assessment of young adults presenting with nonspecific psychiatric symptoms or psychological distress. Although there is ongoing debate over the use of self-report screening tools, a positive result on both the AQ and RAADS-R should prompt clinicians to pursue a comprehensive diagnostic evaluation using structured or semi-structured interviews.

Traits of Developmental Disorders in Adults With Listening Difficulties Without Diagnosis of Autism Spectrum Disorder And/or Attention-Deficit/Hyperactivity Disorder.

Background: Some individuals have a normal audiogram but have listening difficulties (LiD). As many studies have investigated the relationship between listening and developmental disorders, the traits of developmental disorders might explain the symptoms of LiD. In this study, we examined the traits of developmental disorders of adults with LiD to help clarify the cause of LiD symptoms. Methods: In total, 60 adults with LiD and 57 adults without LiD were included. Participants completed a questionnaire for the autism spectrum quotient (AQ) test, the Adult Attention-Deficit Hyperactivity Disorder Self-Rating Scale (A-ADHD), the Adolescent/Adult Sensory Profile (SP), and the severity of subjective LiD in daily life. Results: Before analysis, we excluded participants with LiD who were already diagnosed or met the criteria for autism spectrum disorder (ASD) or ADHD, and the results of the remaining 30 participants (50.0%) with LiD were analyzed. Adults with LiD showed higher scores than those without LiD in the AQ. Attention switching in the AQ and attention ability in the A-ADHD scale were correlated with the severity of LiD symptoms in everyday life. The AQ scores were also significantly correlated with subscales of the SP. Conclusions: Adults with LiD showed greater autistic traits than those without LiD; therefore, LiD symptoms are possibly related to autistic symptoms. Furthermore, adults with LiD might have attention disorder traits of both ASD and ADHD and sensory processing problems. These findings suggest that the attention problems in adults with LiD noted in previous studies might be related to these traits of developmental disorders.

Prediction by Young Autistic Children from Visual and Spoken Input.

Recent theoretical accounts suggest that differences in the processing of probabilistic events underlie the core and associated traits of autism spectrum disorder (ASD). These theories hypothesize that autistic individuals are differentially impacted by disruptions in probabilistic input relative to neurotypical peers. According to this view, autistic individuals assign disproportionate weight to prediction errors such that novel input is overweighted relative to the aggregation of prior input; this is referred to as 'hyperplasticity' of learning. Prediction among autistic individuals has primarily been examined in nonverbal, visual contexts with older children and adults. The present study examined 32 autistic and 32 cognitively-matched neurotypical (NT) children's ability to generate predictions and adjust to changes in predictive relationships in auditory stimuli using two eye gaze tasks. In both studies, children were trained and tested on an auditory-visual cue which predicted the location of a reward stimulus. In Experiment 1 the cue was non-linguistic (instrumental sound) whereas in Experiment 2 the cue was linguistically-relevant (speaker gender). In both experiments, the cue-reward contingency was switched after the first block of trials, and predictive behavior was evaluated across a second block of trials. Analyses of children's looking behavior revealed similar performance in both groups on the non-linguistic task (Exp. 1). In the linguistically-relevant task (Exp. 2), predictive looking was less disrupted by the contingency switch for autistic children than NT children. Results suggest that autistic children may demonstrate hyperplastic learning in linguistically-relevant contexts, relative to NT peers.

Unraveling Neurodevelopmental Disorders: Signalling Pathways as Potential Targets for Therapeutic Intervention in Autism Spectrum Disorder

Introduction: Autism Spectrum Disorder (ASD) presents a multifaceted challenge with limited therapeutic options and a need for early biomarkers. Understanding disrupted signalling pathways offers promise for intervention and assessment. Methods: Literature review spanning genetic, pre-clinical, and patient studies elucidating pathways implicated in ASD pathogenesis, including melatonin, mTOR, Retinoic acid, Hedgehog, Notch and Wnt signalling. Results: Core components of key signalling pathways, such as melatonin, mTOR, Retinoic acid, Hedgehog, Notch and Wnt, are dysregulated in ASD. These pathways regulate crucial aspects of the nervous system, including immune function, neuronal growth, neurotransmission, and metabolism. Discussion: Manipulating these pathways could potentially modify ASD traits by influencing brain development and immune homeostasis. Targeting specific nodes within these pathways may offer novel therapeutic approaches for ASD management. Additionally, identifying biomarkers associated with pathway dysregulation could enable earlier diagnosis and monitoring of disease progression. Conclusion: Understanding the intricate interplay of signalling pathways in ASD pathogenesis provides insights into potential therapeutic targets and biomarkers. Further research into the manipulation of these pathways and their impact on ASD traits is warranted to advance personalized treatment strategies and improve outcomes for individuals with ASD.

Breaking Down the Stigma: A Review of the Literature on the Relationships between Autism Spectrum Disorder and Criminal Behavior.

Background: In recent years, there has been growing interest in the evaluation of autism spectrum disorder (ASD) and autistic traits in prison populations and offenders. Due to misleading headlines and highly publicized criminal cases, the belief that autistic individuals are more prone to commit crimes has spread among the general population, also leading to increasing research on this matter. Aims: In this context, this narrative review aimed to analyze the available scientific literature on the bi-directional link between ASD and criminal behaviors and to assess the key characteristics of eventual ASD offenders, including sociodemographic data, comorbidities, crime-related features, and interactions with the criminal justice system. Results: Our review highlighted that the available studies lack methodological rigor and present controversial results. Overall, the current state of research does not support any definitive correlation between ASD or autistic traits and the predisposition to engage in criminal conduct. Further studies are needed to confirm or reject this hypothesis.

Factors of Bullying Victimization Among Students on the Autism Spectrum: A Systematic Review

AbstractStudies have increasingly suggested that autistic students face a heightened risk of bullying. Understanding the underlying factors for high rates of bullying victimization among autistic students is crucial for intervention, but the complexity of bullying and the heterogeneity of ASD (autism spectrum disorder) traits have made it challenging to explain these factors. Hence, this study systematically reviewed and summarized findings in this area, providing recommendations for intervention. It synthesized 34 studies investigating the predictive variable of bullying victimization among autistic students. Our review observed the role of schools, parents, and peers and of individual variables with respect to autistic traits and behavioral difficulties. We then proposed prevention and intervention strategies against bullying victimization toward autistic students.

Suicide risk with ASD traits or ADHD traits in non-clinical young adults

The impact of attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) traits on suicidal thoughts and behaviors (STBs) remains inadequately explored. Hence, the present study aims to delve deeper into these intricate issues, contributing to a better understanding of these complex challenges among Chinese youth. The data of 90,882 participants was collected from 63 Chinese universities and colleges in Jilin, China. We aim to explore the risks of STBs on ASD, ADHD, and co-occurrence of ASD + ADHD by using the Autism Spectrum Quotient-10 items (AQ-10) and Adult ADHD Self Report Scale (ASRS). Propensity score matching (PSM) was implemented to balance demographical variables across the four groups. Binary logistic regression was then conducted to further analyze and compare suicide risk across the four groups, also accounting for sex differences. Suicide risks were significantly higher in the ADHD (OR = 1.24, p < 0.001) and ASD + ADHD(OR = 1.49, p < 0.001) traits group. However, there was no significant difference in suicide risk between the ASD traits group (OR = 1.00, p = 1.00) and the control group. The risk of suicide was significantly higher for females than for males across all four groups (p < 0.001). These results indicate the importance of screening for ASD + ADHD traits in young adults, especially females due to its higher risk of STBs. Further studies are warranted to delve deeper into this issue, emphasizing the necessity of formal diagnostic tests and directing focused attention toward addressing these complexities.

Autism spectrum disorder, radicalization, and violence: a forensic perspective

ABSTRACT Some research suggests a higher prevalence of Autism Spectrum Disorder (ASD) among terrorist offenders in comparison to the general population. However, the literature does not achieve consistency in terms of an evidential and theoretical basis that individuals with ASD are especially susceptible to terrorism engagement. Through a case-series analysis, this paper discusses the interplay between ASD and radicalization. We examine how core ASD traits may increase one’s susceptibility to adopting radical ideology, and how internet exposure may contribute to the radicalization process. We comment on how vulnerability may lead to risk, distinguishing between these concepts, and argue that while individuals with ASD may not experience an increased risk of terrorism engagement, traits associated with ASD may increase one’s vulnerability to becoming radicalized when exposed to extremist material online. In considering psychiatric and legal issues, we then make recommendations by examining two notorious Canadian cases. Both individuals were reported to have ASD and received life sentences as a result of committing mass murder, with one individual targeting women, and the other targeting the Muslim population.

Development of an in vitro compound screening system that replicate the in vivo spine phenotype of idiopathic ASD model mice.

Autism Spectrum Disorder (ASD) is a developmental condition characterized by core symptoms including social difficulties, repetitive behaviors, and sensory abnormalities. Aberrant morphology of dendritic spines within the cortex has been documented in genetic disorders associated with ASD and ASD-like traits. We hypothesized that compounds that ameliorate abnormalities in spine dynamics might have the potential to ameliorate core symptoms of ASD. Because the morphology of the spine is influenced by signal inputs from other neurons and various molecular interactions, conventional single-molecule targeted drug discovery methods may not suffice in identifying compounds capable of ameliorating spine morphology abnormalities. In this study, we focused on spine phenotypes in the cortex using BTBR T + Itpr3 tf /J (BTBR) mice, which have been used as a model for idiopathic ASD in various studies. We established an in vitro compound screening system using primary cultured neurons from BTBR mice to faithfully represent the spine phenotype. The compound library mainly comprised substances with known target molecules and established safety profiles, including those approved or validated through human safety studies. Following screening of this specialized library containing 181 compounds, we identified 15 confirmed hit compounds. The molecular targets of these hit compounds were largely focused on the 5-hydroxytryptamine receptor (5-HTR). Furthermore, both 5-HT1AR agonist and 5-HT3R antagonist were common functional profiles in hit compounds. Vortioxetine, possessing dual attributes as a 5-HT1AR agonist and 5-HT3R antagonist, was administered to BTBR mice once daily for a period of 7days. This intervention not only ameliorated their spine phenotype but also alleviated their social behavior abnormality. These results of vortioxetine supports the usefulness of a spine phenotype-based assay system as a potent drug discovery platform targeting ASD core symptoms.

Impaired motor and social skill development in infancy predict high autistic traits in toddlerhood

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder. Early diagnosis in the critical period is important for ASD children. Recent studies of neurodevelopmental behavioral features and joint attention in high-risk infants showed there are some special cues which can distinguish ASD from typical development infant. But the findings of high-risk population may not be applicable to the general population. It is necessary to “analogically” study the potential warning traits of ASD in infancy in the general population. We did a nested case-control study from June 2019 to November 2022 in Tianjin, China, including 76 general infants whom completed the neurodevelopmental evaluation, the Checklist for Autism in Toddlers-23 (CHAT-23) screening, and eye tracking task. Social behavior quotient in infancy was negatively correlated to CHAT-23 total scores in toddlerhood. Social behavior quotient in infancy was positively correlated to initiating joint attention in toddlerhood. Regression model showed that high fine motor scale and social behaviour scale quotient in infancy were associated with an decreased risk of the total score of CHAT-23 ≥ 2 in toddlerhood. The Receiver operating characteristic curve showed the social behaviour in infancy alone and the combination of fine motor and social behaviour in infancy contributed to auxiliary diagnosis of higher level of autistic traits in toddlerhood. These findings suggest that Impaired development of fine motor and social behavior in infancy are potential warning features of high autistic traits in general population.

Transcallosal white matter and cortical gray matter variations in autistic adults ages 30-73 years: A bi-tensor free water imaging approach.

Background: Autism spectrum disorder (ASD) has long been recognized as a lifelong condition, but brain aging studies in autistic adults aged >30 years are limited. Free water, a novel brain imaging marker derived from diffusion MRI (dMRI), has shown promise in differentiating typical and pathological aging and monitoring brain degeneration. We aimed to examine free water and free water corrected dMRI measures to assess white and gray matter microstructure and their associations with age in autistic adults. Methods: Forty-three autistic adults ages 30-73 years and 43 age, sex, and IQ matched neurotypical controls participated in this cross-sectional study. We quantified fractional anisotropy (FA), free water, and free water-corrected FA (fwcFA) across 32 transcallosal white matter tracts and 94 gray matter areas in autistic adults and neurotypical controls. Follow-up analyses assessed age effect on dMRI metrics of the whole brain for both groups and the relationship between dMRI metrics and clinical measures of ASD in regions that significantly differentiated autistic adults from controls. Results: We found globally elevated free water in 24 transcallosal tracts in autistic adults. We identified negligible differences in dMRI metrics in gray matter between the two groups. Age-associated FA reductions and free water increases were featured in neurotypical controls; however, this brain aging profile was largely absent in autistic adults. Additionally, greater autism quotient (AQ) total raw score was associated with increased free water in the inferior frontal gyrus pars orbitalis and lateral orbital gyrus in autistic adults. Limitations: All autistic adults were cognitively capable individuals, minimizing the generalizability of the research findings across the spectrum. This study also involved a cross-sectional design, which limited inferences about the longitudinal microstructural changes of white and gray matter in ASD. Conclusions: We identified differential microstructural configurations between white and gray matter in autistic adults and that autistic individuals present more heterogeneous brain aging profiles compared to controls. Our clinical correlation analysis offered new evidence that elevated free water in some localized white matter tracts may critically contribute to autistic traits in ASD. Our findings underscored the importance of quantifying free water in dMRI studies of ASD.

Performance of the Social Responsiveness Scale-2 for the Assessment of Autistic Behaviors in a Sample of Canadian Preschool-Aged Children.

Behavioral traits of autism spectrum disorder (ASD) typically present in early childhood, underscoring the importance of screening tools for the early identification of ASD. The current study compared scores on the Social Responsiveness Scale-Second Edition (SRS-2) Preschool Form between the US standardization sample (n = 247) and a Canadian cohort of preschool-aged children (n = 595) recruited from the Maternal-Infant Research on Environmental Chemicals (MIREC) study. In the MIREC sample, we examined whether ASD-like traits are correlated with sociodemographic characteristics and child intellectual abilities, and how maternal ratings of social skills assessed by the SRS-2 are associated with maternal ratings of general problem behaviors. Mean total SRS-2 raw score was significantly lower in the MIREC sample (mean = 29.7, SD = 15.8) compared to the US standardization sample (mean = 41.9, SD = 26.0). Total raw score in the US standardization sample did not significantly differ between males (mean = 40.6, SD = 23.1) and females (mean = 42.8, SD = 28.7), whereas in the MIREC sample the total raw score was significantly higher among males (mean = 33.0, SD = 17.1) than females (mean = 26.6, SD = 13.9). A significantly larger proportion of the MIREC sample was White, younger in age, and had more educated parents compared to the US standardization sample. ASD-like traits were correlated with lower intellectual abilities, a less enriched home environment, more behavioral problems, and poorer adaptive skills. SRS-2 Preschool Form scores were significantly lower in the Canadian sample compared to the US standardization sample, which may reflect demographic differences between the two groups. Girls may be under-identified when SRS-2 Preschool Form norms are used for screening ASD.

The Potential of Virtual Reality to Improve Diagnostic Assessment by Boosting Autism Spectrum Disorder Traits: A Systematic Review

The Potential of Virtual Reality to Improve Diagnostic Assessment by Boosting Autism Spectrum Disorder Traits: A Systematic Review

Altered white matter connectivity of ventral language networks in autism spectrum disorder: An automated fiber quantification analysis with multi-site datasets

Comprehension and pragmatic deficits are prevalent in autism spectrum disorder (ASD) and are potentially linked to altered connectivity in the ventral language networks. However, previous magnetic resonance imaging studies have not sufficiently explored the microstructural abnormalities in the ventral fiber tracts underlying comprehension dysfunction in ASD. Additionally, the precise locations of white matter (WM) changes in the long tracts of patients with ASD remain poorly understood. In the current study, we applied the automated fiber-tract quantification (AFQ) method to investigate the fine-grained WM properties of the ventral language pathway and their relationships with comprehension and symptom manifestation in ASD. The analysis included diffusion/T1 weighted imaging data of 83 individuals with ASD and 83 age-matched typically developing (TD) controls. Case-control comparisons were performed on the diffusion metrics of the ventral tracts at both the global and point-wise levels. We also explored correlations between diffusion metrics, comprehension performance, and ASD traits, and conducted subgroup analyses based on age range to examine developmental moderating effects. Individuals with ASD exhibited remarkable hypoconnectivity in the ventral tracts, particularly in the temporal portions of the left inferior longitudinal fasciculus (ILF) and the inferior fronto-occipital fasciculus (IFOF). These WM abnormalities were associated with poor comprehension and more severe ASD symptoms. Furthermore, WM alterations in the ventral tract and their correlation with comprehension dysfunction were more prominent in younger children with ASD than in adolescents. These findings indicate that WM disruptions in the temporal portions of the left ILF/IFOF are most notable in ASD, potentially constituting the core neurological underpinnings of comprehension and communication deficits in autism. Moreover, impaired WM connectivity and comprehension ability in patients with ASD appear to improve with age.

Examining the association between prenatal cannabis exposure and child autism traits: A multi-cohort investigation in the environmental influences on child health outcome program.

This study examined the association between prenatal cannabis exposure and autism spectrum disorder (ASD) diagnoses and traits. A total sample of 11,570 children (ages 1-18; 53% male; 25% Hispanic; 60% White) from 34 cohorts of the National Institutes of Health-funded environmental influences on child health outcomes consortium were included in analyses. Results from generalized linear mixed models replicated previous studies showing that associations between prenatal cannabis exposure and ASD traits in children are not significant when controlling for relevant covariates, particularly tobacco exposure. Child biological sex did not moderate the association between prenatal cannabis exposure and ASD. In a large sample and measuring ASD traits continuously, there was no evidence that prenatal cannabis exposure increases the risk for ASD. This work helps to clarify previous mixed findings by addressing concerns about statistical power and ASD measurement.

Association of maternal fish consumption and ω-3 supplement use during pregnancy with child autism-related outcomes: results from a cohort consortium analysis

BackgroundPrenatal fish intake is a key source of omega-3 (ω-3) polyunsaturated fatty acids needed for brain development, yet intake is generally low, and studies addressing associations with autism spectrum disorder (ASD) and related traits are lacking. ObjectiveThis study aimed to examine associations of prenatal fish intake and ω-3 supplement use with both autism diagnosis and broader autism-related traits. MethodsParticipants were drawn from 32 cohorts in the Environmental influences on Child Health Outcomes Cohort Consortium. Children were born between 1999 and 2019 and part of ongoing follow-up with data available for analysis by August 2022. Exposures included self-reported maternal fish intake and ω-3/fish oil supplement use during pregnancy. Outcome measures included parent report of clinician-diagnosed ASD and parent-reported autism-related traits measured by the Social Responsiveness Scale (SRS)-second edition (n = 3939 and v3609 for fish intake analyses, respectively; n = 4537 and n = 3925 for supplement intake analyses, respectively). ResultsIn adjusted regression models, relative to no fish intake, fish intake during pregnancy was associated with reduced odds of autism diagnosis (odds ratio: 0.84; 95% confidence interval [CI]: 0.77, 0.92), and a modest reduction in raw total SRS scores (β: −1.69; 95% CI: −3.3, −0.08). Estimates were similar across categories of fish consumption from “any” or “less than once per week” to “more than twice per week.” For ω-3 supplement use, relative to no use, no significant associations with autism diagnosis were identified, whereas a modest relation with SRS score was suggested (β: 1.98; 95% CI: 0.33, 3.64). ConclusionsThese results extend previous work by suggesting that prenatal fish intake, but not ω-3 supplement use, may be associated with lower likelihood of both autism diagnosis and related traits. Given the low-fish intake in the United States general population and the rising autism prevalence, these findings suggest the need for better public health messaging regarding guidelines on fish intake for pregnant individuals.

Assessing gastrointestinal symptoms in people with autism: Applying a new measure based on the Rome IV criteria

BackgroundPeople with autism spectrum disorder (ASD) often struggle with gastrointestinal symptoms, implicating alterations of the gut-microbiota-brain axis, which has also been linked to sensory reactivity, pain, and gastro-intestinal symptoms in ASD. To better understand the prevalence and impact of gastrointestinal symptoms among individuals with ASD, a measure is needed that adhere to the Rome IV criteria of gastrointestinal symptoms and is applicable to individuals with ASD. The Gastrointestinal Symptom Severity Scale (GSSS) is a new assessment tool designed to match this need. MethodsIn a diverse sample of 265 individuals with ASD (mean age = 9.44, SD = 4.99), we examined the psychometric properties of the GSSS, the prevalence of gastrointestinal symptoms and associations with ASD traits, sensory sensitivity, repetitive behaviors, and pain. ResultsA unidimensional factor structure of the GSSS was confirmed and the measure showed good internal consistency, adequate test-retest reliability and strong convergent validity. Around a third of the participants evidenced clear difficulties with gastrointestinal symptoms and gastrointestinal symptoms were strongly associated with more pronounced ASD traits, sensory reactivity, and repetitive behaviors. ConclusionsThe GSSS shows promise as a useful measure to analyze the prevalence, severity, and impact of gastro-intestinal symptoms in individuals with ASD.

Barking Up the Wrong Tree-Motor-Sensory Elements as Prodrome in Autism.

Autism spectrum disorder (ASD) has been intensely investigated since the term was first used over 80 years ago. The prevalence of ASD is constantly rising, and, currently, 1:36 children are diagnosed with this disorder. Despite the intense interest in ASD, the origins of this disorder remain obscure. This article explores motor issues and proprioceptive interoception difficulties as the prodrome of ASD. The importance of early intervention in the prognosis of ASD is common knowledge. Yet, since the communicational and social behaviors typical of ASD are observable only after the age of 18 months, diagnosis and early intervention are delayed. Therefore, the quest into the involvement of sensory-motor difficulties as a source of ASD traits, or at least as a potential early indicator, is warranted, with the intention of enabling early diagnosis and early intervention. This article examines the justification for this new avenue of early diagnosis and intervention and may open up a completely different way of viewing ASD. This new point of view may suggest an original path of assessment and intervention in infancy with this group of clients, possibly leading to improved prognosis for children and their families.