Autism and talent: the cognitive and neural basis of systemizing

The identification of exceptional skills in school-age autistic children: Prevalence, misconceptions and the alignment of informant perspectives

BACKGROUND

Although autism is commonly described in terms of deficits, many autistic individuals have been found to demonstrate exceptional skills. The shift to a strengths-based approach in the field of autism necessitates increased understanding of these skills.

AIMS

This study examined (1) rates of exceptional skills in autistic school-age children as reported by parents and teachers, (2) associations between exceptional skills, autism severity and intellectual disability and (3) correlations between parent and teacher reports of exceptional skills.

METHOD

Parents and teachers of 76 children attending autism-specific schools in Australia completed online questionnaires. Thereafter, 35 parents and teachers who identified their child as having one or more exceptional skills were interviewed by a clinical psychologist.

RESULTS

Forty parents (53%) and 16 (21%) teachers reported that their child had at least one exceptional skill (agreement between the parent and teacher reports was low; κ = .03, p = .74). In comparison, clinical psychologist assessments identified 22 children (29%) as having at least one such skill. No statistically significant relationships were identified between exceptional skills, autism severity and intellectual disability.

CONCLUSION

While different exceptional skills were identified, regardless of children's intellectual functioning or autism severity, parents and teachers varied substantially in their evaluations of these skills. Furthermore, the identified prevalence rates of exceptional skills did not always align with the rates identified in previous studies. The study findings highlight the need for definitional consensus on different types of exceptional skills, and the importance of multiple criteria/multi-instrument approaches in the identification of exceptional skills in autistic children.

Atypical cognitive training-induced learning and brain plasticity and their relation to insistence on sameness in children with autism

Children with autism spectrum disorders (ASDs) often display atypical learning styles; however, little is known regarding learning-related brain plasticity and its relation to clinical phenotypic features. Here, we investigate cognitive learning and neural plasticity using functional brain imaging and a novel numerical problem-solving training protocol. Children with ASD showed comparable learning relative to typically developing children but were less likely to shift from rule-based to memory-based strategy. While learning gains in typically developing children were associated with greater plasticity of neural representations in the medial temporal lobe and intraparietal sulcus, learning in children with ASD was associated with more stable neural representations. Crucially, the relation between learning and plasticity of neural representations was moderated by insistence on sameness, a core phenotypic feature of ASD. Our study uncovers atypical cognitive and neural mechanisms underlying learning in children with ASD, and informs pedagogical strategies for nurturing cognitive abilities in childhood autism.

A rule-based theoretical account of social stories to address the double empathy problem

Social Stories™ (SS) is one of the most popular and researched interventions for autistic children. To date, research that focuses on outcomes has been prioritized over the investigation of the psychological mechanisms that inform the intervention. In this article we consider theoretical accounts proposed thus far which could underpin SS. We argue that mechanisms that are based on social deficit theories lack validity, and propose a rule-based theoretical account to inform a strengths-based approach toward conceptualizing the mechanisms that underpin SS. We apply this account to the 'double-empathy problem' to propose that SS can be adapted to involve all parties in the development and delivery of SS support by adopting a rule-based perspective. We use the example of systemizing (the drive to analyze and explore systems in terms of 'if-and-then' rules), which is proposed to be a relative autistic strength, as a form of rule-based thinking that can provide a theoretical account of SS and a framework to address the double-empathy problem.

Brain structure underlying the empathizing-systemizing difference in children with autism spectrum disorder

BACKGROUND

Behavioral research has shown that children with autism spectrum disorder (ASD) have a higher empathizing-systemizing difference (D score) than normal children. However, there is no research about the neuroanatomical mechanisms of the empathizing-systemizing difference in children with ASD.

METHODS

Participants comprised 41 children with ASD and 39 typically developing (TD) children aged 6‒12 years. Empathizing-systemizing difference was estimated using the D score from the Chinese version of Children's Empathy Quotient and Systemizing Quotient. We quantified brain morphometry, including global and regional brain volumes and surface-based cortical measures (cortical thickness, surface area, and gyrification) via structural magnetic resonance imaging.

RESULTS

We found that the D score was significantly negatively associated with amygdala gray matter volume [β =  -0.16; 95% confidence interval (CI): -0.30,  -0.02; P value = 0.030] in children with ASD. There was a significantly negative association between D score and gyrification in the left lateral occipital cortex (LOC) in children with ASD (B =  -0.10; SE = 0.03; cluster-wise P value = 0.006) and a significantly positive association between D score and gyrification in the right fusiform in TD children (B = 0.10; SE = 0.03; cluster-wise P value = 0.022). Moderation analyses demonstrated significant interactions between D score and diagnosed group in amygdala gray matter volume (β = 0.19; 95% CI 0.04, 0.35; P value = 0.013) and left LOC gyrification (β = 0.11; 95% CI 0.05, 0.17; P value = 0.001) but not in right fusiform gyrification (β = 0.08; 95% CI -0.02, 0.17; P value = 0.105).

CONCLUSIONS

Neuroanatomical variation in amygdala volume and gyrification of LOC could be potential biomarkers for the empathizing-systemizing difference in children with ASD but not in TD children. Large-scale neuroimaging studies are necessary to test the replicability of our findings.

Autism Spectrum Disorder and Savant Syndrome: A Systematic Literature Review

Objectives

This study aimed to analyze research trends in autism spectrum disorder (ASD) and savant syndrome and their cognitive characteristics through a systematic literature review. The objectives of this study were to establish an overview of research trends in ASD and savant syndrome, analyze the overall characteristics of individuals with ASD and savant syndrome, and examine their cognitive characteristics.

Methods

For the systematic literature review, three criteria were used to select review articles: 1) literature from peer-reviewed journals, published in the past 15 years, from 2008 to 2022; 2) subjects with ASD and savant syndrome; 3) study objectives focused on the basic phenomenon and cognitive characteristics of ASD and savant syndrome. Finally, based on the selection criteria, a total of 40 articles were included.

Results

Five themes and nine subthemes were derived from the analysis of 40 studies. The five main themes were as follows: 1) What is savant syndrome? 2) Demographic characteristics of savant syndrome; 3) Spectra of savant syndrome; 4) Savant syndrome and ASD; and 5) Cognitive characteristics of ASD with savant syndrome. The subthemes of the cognitive characteristics were weak central coherence, detail-focused cognitive processing, enhanced perceptual functioning, and hyper-systemizing.

Conclusion

Several studies have been conducted to understand ASD and savant syndrome; however, no single theory can specify the cognitive characteristics of people with ASD and savant syndrome. Therefore, further systematic and multi-layered research on ASD and savant syndrome are required for more comprehensive results.

Atypical cognitive training-induced learning and brain plasticity and their relation to insistence on sameness in children with autism

Children with autism spectrum disorders (ASD) often display atypical learning styles, however little is known regarding learning-related brain plasticity and its relation to clinical phenotypic features. Here, we investigate cognitive learning and neural plasticity using functional brain imaging and a novel numerical problem-solving training protocol. Children with ASD showed comparable learning relative to typically developing children but were less likely to shift from rule-based to memory-based strategy. Critically, while learning gains in typically developing children were associated with greater plasticity of neural representations in the medial temporal lobe and intraparietal sulcus, learning in children with ASD was associated with more stable neural representations. Crucially, the relation between learning and plasticity of neural representations was moderated by insistence on sameness, a core phenotypic feature of ASD. Our study uncovers atypical cognitive and neural mechanisms underlying learning in children with ASD, and informs pedagogical strategies for nurturing cognitive abilities in childhood autism.

Exceptional abilities in autism: Theories and open questions

The vast majority of research on autism spectrum disorder (ASD) focuses on characterizing and addressing the social communication deficits and restricted, repetitive patterns of behavior that constitute the diagnostic criteria for the disorder. Yet, a small but significant portion of individuals diagnosed with ASD exhibit exceptional cognitive abilities in one or more domains. These "twice-exceptional" individuals often have unique skills that enable them to make significant contributions to the workforce, while at the same time facing unique challenges during the transition to independent living due to a lack of services and broad public misperceptions regarding their condition. Here we review the current literature on cognitive divergence in ASD, focusing on cognitive theories, neural substrates, and clinical and societal implications for increasing understanding of this phenomenon.

Neurobiological insights into twice-exceptionality: Circuits, cells, and molecules

Twice-exceptional learners face a unique set of challenges arising from the intersection of extraordinary talent and disability. Neurobiology research has the capacity to complement pedagogical research and provide support for twice-exceptional learners. Very few studies have attempted to specifically address the neurobiological underpinnings of twice-exceptionality. However, neurobiologists have built a broad base of knowledge in nervous system function spanning from the level of neural circuits to the molecular basis of behavior. It is known that distinct neural circuits mediate different neural functions, which suggests that 2e learning may result from enhancement in one circuit and disruption in another. Neural circuits are known to adapt and change in response to experience, a cellular process known as neuroplasticity. Plasticity is controlled by a bidirectional connection between the synapse, where neural signals are received, and the nucleus, where regulated gene expression can return to alter synaptic function. Complex molecular mechanisms compose this connection in distinct neural circuits, and genetic alterations in these mechanisms are associated with both memory enhancements and psychiatric disorder. Understanding the consequences of these changes at the molecular, cellular, and circuit levels will provide critical insights into the neurobiological bases of twice-exceptionality.

Socially-Assistive Robots to Support Learning in Students on the Autism Spectrum: Investigating Educator Perspectives and a Pilot Trial of a Mobile Platform to Remove Barriers to Implementation

Technology offers educators tools that can tailor learning to students' learning styles and interests. Research into the use of socially-assistive robots as a learning support for children on the autism spectrum are showing promising results. However, to date, few schools have introduced these robots to support learning in students on the autism spectrum. This paper reports on a research project that investigated the barriers to implementing socially-assistive robot supported learning, and the expectations, perceived benefits and concerns of school teachers and therapists of students on the autism spectrum and adults on the autism spectrum. First, three focus groups were conducted with six adults on the autism spectrum, and 13 teachers and therapists of students from two autism-specific schools. During the focus groups, there was cautious optimism from participants about the value of socially-assistive robots for teaching support. While the data showed that participants were in favour of trialling socially-assistive robots in the classroom, they also raised several concerns and potential barriers to implementation, including the need for teacher training. In response to their concerns, the second part of the project focussed on developing a software platform and mobile application (app) to support the introduction of robots into autism-specific classrooms. The software platform and app were then trialled in two schools (n = 7 teachers and therapists). Results from focus groups indicated that participants believe socially-assistive robots could be useful for learning support, as the mobile app provides an easy to use tool to support preparing and conducting lessons that would motivate them to trial robots in the classroom.

Empathizing, systemizing, empathizing-systemizing difference and their association with autistic traits in children with autism spectrum disorder, with and without intellectual disability

Empathizing, systemizing, and empathizing-systemizing difference can be linked to autistic traits in the general adult population and those with autism spectrum disorder (ASD), but these profiles and associations remain unclear in children with ASD, with and without intellectual disability (ASD + ID; ASD-noID). We recruited three groups including 160 boys with ASD (73 ASD + ID; 87 ASD-noID) and 99 typically developing (TD) boys (6-12 years). We measured empathizing, systemizing, and empathizing-systemizing difference using the parent-reported child Empathy and Systemizing Quotient (EQ-C/SQ-C). We measured autistic traits using the Social Responsiveness Scale (SRS). Among the three groups, children with ASD + ID and ASD-noID scored lower on the EQ-C and SQ-C than TD children (all p < 0.001). There was no difference in the EQ-C between children with ASD + ID and ASD-noID (16.59 ± 5.53 vs. 16.23 ± 5.85, p = 0.973), and the difference in the SQ-C attenuated to null when adjusting for intelligence between children with ASD-noID and TD children (18.89 ± 7.80 vs. 24.15 ± 6.73, p = 0.089). Children with ASD + ID scored higher on empathizing-systemizing difference than TD children but lower than children with ASD-noID (all p < 0.05). Negative associations between EQ-C and all autistic traits, null associations between SQ-C and all autistic traits, and positive associations between empathizing-systemizing difference and all autistic traits were found in all groups. We observed differences in empathizing, systemizing, and empathizing-systemizing difference and the consistency of their associations with autistic traits among the three groups. Our findings provide implication that behavioral interventions of ASD should consider the balance of empathizing and systemizing. LAY SUMMARY: We examined the profiles of empathizing, systemizing, and empathizing-systemizing difference in children with autism spectrum disorder, with and without intellectual disability (ASD + ID; ASD-noID), and typically developing (TD) children aged 6-12 years. We observed differences in these profiles and the consistency of their associations with autistic traits among the three groups. Empathizing and empathizing-systemizing difference, rather than systemizing, were associated with autistic traits within the three groups. Our findings provide implication that behavioral interventions of ASD should consider these imbalance profiles.

Cortico-Cerebellar Hyper-Connections and Reduced Purkinje Cells Behind Abnormal Eyeblink Conditioning in a Computational Model of Autism Spectrum Disorder

Empirical evidence suggests that children with autism spectrum disorder (ASD) show abnormal behavior during delay eyeblink conditioning. They show a higher conditioned response learning rate and earlier peak latency of the conditioned response signal. The neuronal mechanisms underlying this autistic behavioral phenotype are still unclear. Here, we use a physiologically constrained spiking neuron model of the cerebellar-cortical system to investigate which features are critical to explaining atypical learning in ASD. Significantly, the computer simulations run with the model suggest that the higher conditioned responses learning rate mainly depends on the reduced number of Purkinje cells. In contrast, the earlier peak latency mainly depends on the hyper-connections of the cerebellum with sensory and motor cortex. Notably, the model has been validated by reproducing the behavioral data collected from studies with real children. Overall, this article is a starting point to understanding the link between the behavioral and neurobiological basis in ASD learning. At the end of the paper, we discuss how this knowledge could be critical for devising new treatments.

Genetic contributions to autism spectrum disorder

Autism spectrum disorder (autism) is a heterogeneous group of neurodevelopmental conditions characterized by early childhood-onset impairments in communication and social interaction alongside restricted and repetitive behaviors and interests. This review summarizes recent developments in human genetics research in autism, complemented by epigenetic and transcriptomic findings. The clinical heterogeneity of autism is mirrored by a complex genetic architecture involving several types of common and rare variants, ranging from point mutations to large copy number variants, and either inherited or spontaneous (de novo). More than 100 risk genes have been implicated by rare, often de novo, potentially damaging mutations in highly constrained genes. These account for substantial individual risk but a small proportion of the population risk. In contrast, most of the genetic risk is attributable to common inherited variants acting en masse, each individually with small effects. Studies have identified a handful of robustly associated common variants. Different risk genes converge on the same mechanisms, such as gene regulation and synaptic connectivity. These mechanisms are also implicated by genes that are epigenetically and transcriptionally dysregulated in autism. Major challenges to understanding the biological mechanisms include substantial phenotypic heterogeneity, large locus heterogeneity, variable penetrance, and widespread pleiotropy. Considerable increases in sample sizes are needed to better understand the hundreds or thousands of common and rare genetic variants involved. Future research should integrate common and rare variant research, multi-omics data including genomics, epigenomics, and transcriptomics, and refined phenotype assessment with multidimensional and longitudinal measures.

Increased Serum Concentrations of High Mobility Group Box 1 (HMGB1) Protein in Children with Autism Spectrum Disorder

High mobility group box 1 protein (HMGB1) has been suggested to be involved in the immune dysfunction and inflammation reported in autism spectrum disorder (ASD). We aimed to assess HMGB1 serum concentrations (SCs) in high-functioning ASD children compared to typically developing (TD) controls and to explore their associations with the autism spectrum quotient (AQ), the empathy quotient (EQ), and the systemizing quotient (SQ). The study involved 42 ASD children and 38 TD children, all-male, aged between 6.1 and 13.3 years old. HMGB1 SCs were measured by enzyme-linked immunosorbent assay (ELISA). Groups were comparable regarding age, general IQ, birth weight, and maternal age at birth. ASD children showed significantly higher HMGB1 SCs compared to TD children (1.25 ± 0.84 ng/mL versus 1.13 ± 0.79 ng/mL, respectively, p = 0.039). The Spearman’s rho revealed that HMGB1 SCs were positively correlated with the AQ attention to detail subscale (rs = 0.46, p = 0.045) and with the SQ total score (rs = 0.42, p = 0.04) in the ASD group. These results show that HMGB1 serum concentrations are altered in ASD children, and suggest that inflammatory processes mediated by HMGB1 may be associated with specific cognitive features observed in ASD.

Neural correlates of RDoC-specific cognitive processes in a high-functional autistic patient: a statistically validated case report

The level of functioning of individuals with autism spectrum disorder (ASD) varies widely. To better understand the neurobiological mechanism associated with high-functioning ASD, we studied the rare case of a female patient with an exceptional professional career in the highly competitive academic field of Mathematics. According to the Research Domain Criteria (RDoC) approach, which proposes to describe the basic dimensions of functioning by integrating different levels of information, we conducted four fMRI experiments targeting the (1) social processes domain (Theory of mind (ToM) and face matching), (2) positive valence domain (reward processing), and (3) cognitive domain (N-back). Patient’s data were compared to data of 14 healthy controls (HC). Additionally, we assessed the subjective experience of our case during the experiments. The patient showed increased response times during face matching and achieved a higher total gain in the Reward task, whereas her performance in N-back and ToM was similar to HC. Her brain function differed mainly in the positive valence and cognitive domains. During reward processing, she showed reduced activity in a left-hemispheric frontal network and cortical midline structures but increased connectivity within this network. During the working memory task patients’ brain activity and connectivity in left-hemispheric temporo-frontal regions were elevated. In the ToM task, activity in posterior cingulate cortex and temporo-parietal junction was reduced. We suggest that the high level of functioning in our patient is rather related to the effects in brain connectivity than to local cortical information processing and that subjective report provides a fruitful framework for interpretation.

The Lost Neural Hierarchy of the Autistic Self-Locked-Out of the Mental Self and Its Default-Mode Network

Autism spectrum disorder (ASD) is characterized by a fundamental change in self-awareness including seemingly paradoxical features like increased ego-centeredness and weakened self-referentiality. What is the neural basis of this so-called "self-paradox"? Conducting a meta-analytic review of fMRI rest and task studies, we show that ASD exhibits consistent hypofunction in anterior and posterior midline regions of the default-mode network (DMN) in both rest and task with decreased self-non-self differentiation. Relying on a multilayered nested hierarchical model of self, as recently established (Qin et al. 2020), we propose that ASD subjects cannot access the most upper layer of their self, the DMN-based mental self-they are locked-out of their own DMN and its mental self. This, in turn, results in strong weakening of their self-referentiality with decreases in both self-awareness and self-other distinction. Moreover, this blocks the extension of non-DMN cortical and subcortical regions at the lower layers of the physical self to the DMN-based upper layer of the mental self, including self-other distinction. The ASD subjects remain stuck and restricted to their intero- and exteroceptive selves as manifested in a relative increase in ego-centeredness (as compared to self-referentiality). This amounts to what we describe as "Hierarchical Model of Autistic Self" (HAS), which, characterizing the autistic self in hierarchical and spatiotemporal terms, aligns well with and extends current theories of ASD including predictive coding and weak central coherence.

Meta-analytic evidence of differential prefrontal and early sensory cortex activity during non-social sensory perception in autism

To date, neuroimaging research has had a limited focus on non-social features of autism. As a result, neurobiological explanations for atypical sensory perception in autism are lacking. To address this, we quantitively condensed findings from the non-social autism fMRI literature in line with the current best practices for neuroimaging meta-analyses. Using activation likelihood estimation (ALE), we conducted a series of robust meta-analyses across 83 experiments from 52 fMRI studies investigating differences between autistic (n = 891) and typical (n = 967) participants. We found that typical controls, compared to autistic people, show greater activity in the prefrontal cortex (BA9, BA10) during perception tasks. More refined analyses revealed that, when compared to typical controls, autistic people show greater recruitment of the extrastriate V2 cortex (BA18) during visual processing. Taken together, these findings contribute to our understanding of current theories of autistic perception, and highlight some of the challenges of cognitive neuroscience research in autism.

The Power of Systemizing in Autism

Identifying autism in clinical practice is complex because the causes of autism are still unclear and the features of autism are highly diverse. The Empathizing-Systemizing theory is successful in interpreting the core features of autism, both social and non-social, compared to other current theories of autism. This study provides an overview of the current state of research regarding the systemizing concept. High systemizing abilities are characteristic and specific in autism and as a result, three non-social features of autism are seen: restricted and repetitive behavior, obsessional interests, and, savant skills. We found solid evidence that, in order to identify autism in clinical practice, at least the use of an instrument which is specialized in measuring one's systemizing abilities is required.

Pattern Unifies Autism

Autism is a highly heterogeneous condition, genetically and phenotypically. This diversity of causation and presentation has impeded its definition, recognition, assessment, and treatment. Current diagnostic criteria for autism involve two domains, restricted interests and repetitive behavior (RRBs) and social deficits, whose relationship remains unclear. I suggest that the large suite of traits associated with autism can be usefully conceptualized under the single rubric of "pattern," a term that connects autism with basic brain and cognitive functions and structures its phenotypes within a single theoretical framework. Autism thus involves increases and enhancements to pattern perception, pattern recognition, pattern maintenance, pattern generation, pattern processing, and pattern seeking. RRBs result from increased and imbalanced pattern-related perception and cognition, and social alterations result in part from the usual lack of clear pattern in social interactions, combined with the interference of RRBs with social development. This framework has strong implications for assessment of social and non-social autism-related traits, personalized therapy, and priorities for research.

When Alterations in Social Cognition Meet Subjective Complaints in Autism Spectrum Disorder: Evaluation With the "ClaCoS" Battery

Background: Deficit in social communication is a core feature in Autism Spectrum Disorder but remains poorly assessed in classical clinical practice, especially in adult populations. This gap between needs and practice is partly due to a lack of standardized evaluation tools. The multicentric Research group in psychiatry GDR3557 (Institut de Psychiatrie) developed a new battery for social cognitive evaluation named "ClaCoS," which allows testing the main components of social cognition: Emotion Recognition, Theory of Mind, Attributional Style, and Social Perception and Knowledge. It further provides an assessment of subjective complaints in social cognition. Methods: We compared the social cognition abilities of 45 adults with Autism Spectrum Disorder without intellectual disability and 45 neurotypically developed volunteers using the "ClaCoS" battery, in order to determine its relevance in the evaluation of social cognition impairments in autism. A correlational approach allowed us to test the links between subjective complaints and objectively measured impairments for the different components of social cognition. Results: As expected, the Autism Spectrum Disorder group showed deficits in all four components of social cognition. Moreover, they reported greater subjective complaints than controls regarding their social abilities, correlated to the neuropsychological assessments. Conclusion: The "ClaCoS" battery is an interesting tool allowing to assess social impairments in autism and to specify the altered components, for a better adjustment of tailored social cognition training programs. Our results further suggest that people with Autism Spectrum Disorder have a good social cognitive insight, i.e., awareness into social cognitive functioning, and may thus benefit from social cognitive training tools.

Associations among parent and teacher ratings of systemizing, vocabulary and executive function in children with autism spectrum disorder

Individuals with Autism Spectrum Disorder (ASD) show a heightened drive toward systemizing, which is the capability to analyze, or the drive to construct, a rule-based system. In addition, executive function deficits as well as diminished language capacity and vocabulary have been consistently demonstrated in individuals with ASD. The primary purpose of this study was to create a model to understand how these constructs interact in children with ASD. Forty-six children diagnosed with ASD along with their parents and teachers participated. All children completed standardized vocabulary testing. For each child, one parent and one teacher completed executive function and systemizing scales. For parents and teachers, systemizing was significantly associated with vocabulary. For parents, systematizing was significantly associated with all executive function subscales, however, for teachers, systemizing was only significantly associated with half of the executive function subscales. The mediation model indicated that the relationship between vocabulary and systemizing was fully mediated by executive function for parents but the model was not significant for teachers. This model demonstrates that systemizing, vocabulary and executive function should not be studied in isolation when attempting to understand the behaviors of children with ASD and can help us to better plan educational and therapeutic interventions.

Is the Progress of Children with ASD in a Behavioural Therapy Programme Influenced by Parents’ Hyper-Systemizing?

"Background. In an attempt to find genetic explanations for the heterogeneous characteristics of autistic patients, research has shown that parents of autistic children are more likely than parents of neurotypical children to exhibit autistic-like characteristics, meeting the criteria for the so-called “broad autism phenotype” . Subclinical autistic traits have been identified in the families of children with ASD, in both fathers and mothers, but the way in which specific parental phenotypes influence the child’s pathology remains unclear. Methods. This study aimed to analyse the progress that a group of children with Autism Spectrum Disorders (ASD) have made during a behavioural therapy programme and the way their evolution has been influenced by the parents’ systemizing level. 52 participants (aged 2 to 5 years old) diagnosed with an Autism Spectrum Disorder and both of their parents were included in the study. The severity of ASD symptomatology was assessed using the ADOS-G instrument, at the beginning of the study (T0) and after one year of behavioural therapy as well (T1), while the parents’ systemizing level was evaluated using the self-report Systemizing Quotient (SQ). Results. The ADOS-G scores showed a significant improvement after one year of therapy in both Communication and Social Interaction domains. Only the fathers` systemizing level (SQF) had a significant effect on the ADOS-G scores after one year of therapy, with greater improvements reported for children having fathers with higher SQF scores. Conclusion. The significance of these findings is discussed in relation to the empathizing-systemizing (E-S) theory. We consider that it’s particularly important to continue investigating the way that specific parents’ traits, including their systemizing level or their possible broad autism phenotype, can influence the severity of their children’s ASD or the outcome of the behavioural intervention."

Binding of Dopamine D1 Receptor and Noradrenaline Transporter in Individuals with Autism Spectrum Disorder: A PET Study

Although previous studies have suggested the involvement of dopamine (DA) and noradrenaline (NA) neurotransmissions in the autism spectrum disorder (ASD) pathophysiology, few studies have examined these neurotransmissions in individuals with ASD in vivo. Here, we investigated DA D1 receptor (D1R) and noradrenaline transporter (NAT) binding in adults with ASD (n = 18) and neurotypical controls (n = 20) by utilizing two different PET radioligands, [11C]SCH23390 and (S,S)-[18F]FMeNER-D2, respectively. We found no significant group differences in DA D1R (striatum, anterior cingulate cortex, and temporal cortex) or NAT (thalamus and pons) binding. However, in the ASD group, there were significant negative correlations between DA D1R binding (striatum, anterior cingulate cortex and temporal cortex) and the “attention to detail” subscale score of the Autism Spectrum Quotient. Further, there was a significant positive correlation between DA D1R binding (temporal cortex) and emotion perception ability assessed by the neurocognitive battery. Associations of NAT binding with empathic abilities and executive function were found in controls, but were absent in the ASD group. Although a lack of significant group differences in binding might be partly due to the heterogeneity of ASD, our results indicate that central DA and NA function might play certain roles in the clinical characteristics of ASD.

Increased grey matter volume of the right superior temporal gyrus in healthy children with autistic cognitive style: A VBM study

The empathizing-systemizing model describes human cognitive style using empathizing (the drive to identify another's mental state and respond appropriately) and systemizing (the drive to assess or construct rule-based systems). 'Brain type' was envisioned to explain individual differences in cognitive style based on the discrepancy of the two drives. In this model, individuals with autism spectrum disorder (ASD), a neurodevelopmental disorder, have extremely stronger systemizing. Revealing the underlying mechanisms of individual differences in cognitive style might contribute to elucidation of the pathology of ASD. We used voxel-based morphometry to compare the brain structures among the brain types (those who have stronger empathizing, those who have equally stronger drive to both, and those who have stronger systemizing) in 207 healthy children (age range: 5-15). Results showed that children with stronger systemizing had significantly greater grey matter volume of the right superior temporal gyrus (rSTG) than the others. The brain region, a distinctive brain structure of those with stronger systemizing, was overlapped with that of children with ASD. The rSTG is involved in detailed perceptual processing in social cognition, which is partially related to stronger systemizing. Our results contribute to elucidation of the underlying mechanisms of individual differences in cognitive style.