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Introduction: Various genetic mutations have been implicated in autism spectrum disorder (ASD). Some candidate genes for ASD are known to be related to signal transduction and may be involved in hand development as well as neurodevelopment. Therefore, although subtle, anatomical variations in hand configurations may be observed in individuals with ASD. However, except for research on the finger ratio, which has been suggested to be related to prenatal sex hormone exposure, only few studies have been conducted. Given the spectrum characteristics of ASD, we explored whether hand configurations are associated with ASD-related traits in the general population. Methods: Photographs of the dorsal surface of each hand were obtained, and the distances between the metacarpophalangeal joints and finger lengths were measured. The Autism Spectrum Quotient, Empathy Quotient, and Systemizing Quotient were used to evaluate ASD-related traits. Results: We found a significant positive correlation between the aspect ratio of the right hand and the Systemizing Quotient score: individuals with a larger width relative to the finger length showed more systemizing traits. Discussion: These findings suggest that gene polymorphisms or prenatal sex hormone exposure may underlie the relationship between systemizing traits and hand configurations.

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While the empathizing-systemizing (E-S) theory provides a valuable framework for explaining gender differences in STEM majors, previous studies suffer from methodological issues (i.e., the arbitrary cut-off criteria and WEIRD sampling) as well as discrepancies in the behavioral correlates of E-S types. To address the gaps, this study utilized a 3-step latent profile analysis to identify naturally occurring E-S profiles in a Chinese sample and explored the predictors and distal outcomes of the identified profiles. The study recruited 785 (aged 18-25 years, 60% female) Chinese undergraduates. Results revealed five E-S profiles: Disengaged, Empathizers, Navigating systemizers, Technological systemizers, and Self-declared allrounders. Controlling for socioeconomic status, being male predicted a higher likelihood of membership into the Technological systemizers. Besides, membership to the Navigating systemizers and Technological systemizers was associated with better intuitive physics performance. However, no significant variation was observed for social sensitivity performance across E-S profiles. Overall, our results partially conformed to previous findings, highlighting the importance of cultural adaptation and methodological considerations when classifying students' cognitive types.

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BACKGROUND: Do autistic people share the same moral foundations as typical people? Here we built on two prominent theories in psychology, moral foundations theory and the empathizing-systemizing (E-S) theory, to observe the nature of morality in autistic people and systemizers. METHODS: In dataset 1, we measured five foundations of moral judgements (Care, Fairness, Loyalty, Authority, and Sanctity) measured by the Moral Foundations Questionnaire (MFQ) in autistic (n = 307) and typical people (n = 415) along with their scores on the Empathy Quotient (EQ) and Systemizing Quotient (SQ). In dataset 2, we measured these same five foundations along with E-S cognitive types (previously referred to as "brain types") in a large sample of typical people (N = 7595). RESULTS: Autistic people scored the same on Care (i.e., concern for others) as typical people (h1). Their affective empathy (but not their cognitive empathy) scores were positively correlated with Care. Autistic people were more likely to endorse Fairness (i.e., giving people what they are owed, and treating them with justice) over Care (h2). Their systemizing scores were positively correlated with Fairness. Autistic people or those with a systemizing cognitive profile had lower scores on binding foundations: Loyalty, Authority, and Sanctity (h3). Systemizing in typical people was positively correlated with Liberty (i.e., hypervigilance against oppression), which is a sixth moral foundation (h4). Although the majority of people in all five E-S cognitive types self-identified as liberal, with a skew towards empathizing (h5), the percentage of libertarians was highest in systemizing cognitive types (h6). E-S cognitive types accounted for 2 to 3 times more variance for Care than did sex. LIMITATIONS: Our study is limited by its reliance on self-report measures and a focus on moral judgements rather than behavior or decision-making. Further, only dataset 2 measured political identification, therefore we were unable to assess politics in autistic people. CONCLUSIONS: We conclude that some moral foundations in autistic people are similar to those in typical people (despite the difficulties in social interaction that are part of autism), and some are subtly different. These subtle differences vary depending on empathizing and systemizing cognitive types.

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Müller-Lyer (ML) figures bias size estimation consistently, yet different methods can lead to different degrees of illusory bias. Autistic individuals may also be less likely to perceive illusory biases with varying levels of autistic trait expression proposed to modulate reported illusory biases. The Autism-Spectrum Quotient (AQ) and Systemizing Quotient (SQ) are self-report measures that quantify autistic trait expression and systemizing ability in neurotypical individuals. The current study sought to determine if perceptions of illusory size bias negatively correlate with autistic trait expression and the extent to which varying methods of illusion presentation change the magnitude of illusory bias. Thirty neurotypical adults completed both questionnaires as well as four size estimation tasks. Two tasks involved perceptual discrimination of ML figures by concurrent and successive presentation, where participants selected the longer figure by keypress. For Tasks 3 and 4, participants adjusted the size of a non-illusory line (Task 3) or complementary illusory figure (Task 4) to match the perceived length. Overall, task performance was not correlated with autistic trait expression. One exception was a negative correlation with AQ when adjusting a complementary illusory ML figure in Task 4. Illusory biases were also stronger when two illusory figures were presented concurrently. Given these results, illusion susceptibility to the ML is suggested to be reduced with increases in AQ, but only when the method of illusion measurement is adjustment of concurrent illusory figures. Taken together the results provide evidence that traits associated with autism in a neurotypical population may systematically modulate perception.

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This study aims to evaluate the relationship between social skills and sensory features, emotion regulation, and empathy in adolescents on the autism spectrum. One hundred and twenty-three adolescents were included in the study (50 autistic, 73 typically developing-TD adolescents). The participants filled out the Adolescent/Adult Sensory Profile (AASP) and Emotion Regulation Questionnaire. Parents of the participants completed the Child Empathy and Systemizing Quotient (EQ-C/SQ-C) and Autism-Social Skills Profile (ASSP) scales. Social reciprocity, social participation/avoidance, ASSP total scores, empathy and systemizing scores were lower, and detrimental social behaviors, low registration sensory profile scores were higher in the autism spectrum group. While a difference between genders was observed in sensory sensitivity, sensation avoiding, low registration quadrants and empathy scores, no gender and group interaction was found in any domain. Social skill total scores were correlated to sensation seeking and low registration sensory features, empathy, systemizing, and reappraisal emotion regulation scores. A hierarchical multiple linear regression analysis was conducted controlling for group and gender, sensation seeking (p = .032, ß = 0.138), low registration (p = .012, ß = - 0.215) of the AASP, and empathy (p < .001, ß = 0.555) and systemizing (p = .033, ß = 0.138) scores of the EQ/SQ-C was found to significantly predict social skill total scores. Although emotional regulation strategies may play a role, sensory processing features and empathy and systemizing skills seem to be the more significant contributors to social skills during adolescence. Interventions targeting sensory processing and especially improving empathy and systematization skills may positively affect social skills in adolescents on the autism spectrum.

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Gender differences in systemizing and empathizing are sometimes attributed to inherent biological factors. We tested whether such effects are more often interpreted as reflecting men's and women's different learning affordances. Study 1 (N = 624) estimated gender differences in item-level activities from systemizing and empathizing scales (SQ, EQ) in large representative samples. Lay coders (Study 2, N = 199) and psychology experts (Study 3, N = 116) rated SQ and EQ activities as being more learned (vs. innate) and believed that men receive more systemizing and women receive more empathizing (Study 3 only) affordances. Items showing the largest gender differences in Study 1 were those rated as having the largest gender affordances (more than gendered genetic advantages) in Studies 2 and 3. Claims about inherent sex differences in systemizing, and to a lesser degree empathizing, appear to be out of step with a consensus view from the public and psychological scientists.

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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.

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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 [ß = -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 (ß = 0.19; 95% CI 0.04, 0.35; P value = 0.013) and left LOC gyrification (ß = 0.11; 95% CI 0.05, 0.17; P value = 0.001) but not in right fusiform gyrification (ß = 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.

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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.

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The concept of "patient-centered care" (PCC) emphasizes patients' autonomy and is commonly promoted as a good healthcare practice that all of medicine should strive for. Here, we assessed how six medical specialties-pediatrics, OBGYN, orthopedics, radiology, dermatology, and neurosurgery-have engaged with PCC and its derivative concepts of "person-centered care" (PeCC) and "family-centered care" (FCC) as a function of the number of female physicians in each field. To achieve this, we conducted a scoping review of three databases-PubMed, CINAHL, and PsycInfo-to assess the extent that PCC, PeCC, FCC, and RCC were referenced by different specialties in the medical literature. Reference to PCC and PeCC in the literature correlates significantly with the number of female physicians in each field (all p < 0.00001) except for neurosurgery (p > 0.5). Pediatrics shows the most extensive reference to PCC, followed by OBGYN, with a significant difference between all disciplines (p < 0.001). FCC remains exclusively embraced by pediatrics. Our results align with documented cognitive differences between men and women that recognize gender differences in empathizing (E) versus systemizing (S) with females demonstrating E > S, which supports PCC/PeCC/FCC approaches to healthcare.

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BACKGROUND: We developed the Italian version of the adult developmental co-ordination disorders/dyspraxia checklist (ADC), providing reliability and concurrent validity data for the scale (Aim 1). In addition, we investigated the relationships between motor coordination difficulties and different autistic traits (Aim 2). METHODS: 498 participants (341 females; age range = 18-34) underwent the Italian version of the ADC, as well as a handwriting speed test, the autism spectrum quotient, the empathy quotient, and the systemizing quotient. RESULTS: The distinction between three main factors (A, B, and C) identified in the original version of the ADC was confirmed here. Internal consistency of the ADC subscales was adequate, as well as the correlation with the handwriting speed test used to assess concurrent validity. No substantial sex differences on the ADC scores were found. Furthermore, data revealed that poor autistic-related communication skills and lower levels of systemizing tendencies were, among all the investigated autistic traits, those more strongly associated with higher motor coordination difficulties. CONCLUSIONS: The Italian ADC seems a valuable tool for assessing motor coordination difficulties in adults and can reveal the nuanced impact exerted by different autistic traits on self-reported motor functioning.

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Due to the COVID-19 pandemic, millions of people around the world have been wearing masks. This has negatively affected the reading of facial emotions. In the current study, the ability of participants' emotional recognition of faces and the eye region alone (similar to viewing masked faces) was analyzed in conjunction with psychological factors such as their capacity to empathize, systemize and the degree of autistic traits. Data from 403 healthy adults between 18 and 40 years revealed a significant difference between faces and eyes-only conditions for accuracy of emotion recognition as well as emotion intensity ratings, indicating a reduction in the capacity to recognize emotions and experience the emotion intensities of individuals wearing masks. As expected, people who were more empathetic were better at recognizing both 'facial' and 'eyes-only' emotions. This indicates that empathizers might have an upper hand in recognizing emotions of masked faces. There was a negative correlation between the degree of autistic traits and emotion recognition in both faces and eyes-only conditions. This suggests that individuals with higher levels of autistic traits would have greater difficulty recognizing emotions of both faces with and without masks. None of the psychological factors had a significant relationship with emotion intensity ratings. Finally, systemizing tendencies had no correlation with either emotion recognition or emotion intensity ratings.

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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.

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We aimed to validate the Children's Empathy Quotient (EQ-C) and Systemizing Quotient (SQ-C) in Mainland China, which can reflect the profiles of empathizing and systemizing, and describing specific characteristics of autism spectrum disorder (ASD) and gender-typical behaviors in general population. A total of 800 typically developing (TD) children, aged 4-12 years was recruited initially with whose parents/guardians complete the measurements, and 782 TD children who met inclusion criteria were finally included. A 23-item three-factor EQ-C and a 22-item four-factor SQ-C was developed with good internal consistency (Omega total values of 0.87 and 0.86) and test-retest reliability (Pearson correlation coefficients of 0.82 and 0.69). In TD children, girls scored significantly higher on EQ-C (31.4 ± 7.8 vs. 28.2 ± 7.7) but there were no gender differences in SQ-C scores. TD children showed different cognitive styles (empathizing-dominant for girls with 42.6% identified as Type E; systemizing-dominant for boys with 40.7% identified as Type S). A further sample of 222 children with ASD indicated that they scored lower on EQ/SQ-C compared to TD children (13.2 ± 5.1 vs. 29.7 ± 7.9, 12.4 ± 5.8 vs. 23.5 ± 8.3) and were generally systemizing-dominant (Type S: 50.8% for boys and 64.0% for girls). Autistic children scored higher on the SQ-C in those without intellectual disability and with higher paternal education level and family income (14.2 ± 6.1 vs. 10.9 ± 5.0, 13.3 ± 6.2 vs. 11.5 ± 5.1, 13.7 ± 5.6 vs. 11.9 ± 5.8), while there were no differences in the EQ-C. This study indicated good reliability and validity of the Chinese version of EQ/SQ-C, which can be used in Chinese children with and without ASD. LAY SUMMARY: We developed the Chinese version of the Children's Empathy Quotient (EQ-C) and Systemizing Quotient (SQ-C) in 782 typically developing (TD) children aged 4-12 years in Mainland China, yielding a 23-item, 3-factor EQ-C and a 22-item, 4-factor SQ-C with good psychometric properties. In TD children, we found gender difference only in scores of EQ-C. Further analyses of 222 autistic children indicated that differences were found in scores of SQ-C when considering their gender, intelligence and socio-economic status.

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Previous research indicates a link between autism and transgender and gender-diverse identities, though the association is not yet fully understood. The current study examined autistic traits (Autism Spectrum Quotient [AQ]), empathizing (Empathizing Quotient-Short [EQ-S]), and systemizing (Systemizing Quotient-Short [SQ-S]) in a sample of 89 adults and aimed to test whether gender-diverse individuals exhibit cognitive profiles consistent with predictions derived from the Extreme Male Brain (EMB) theory. As most research has considered only cisgender people, we recruited a more diverse sample by contacting > 200 UK LGBTQ+ organizations and posting on social media. A range of non-cisgender identities (e.g., transgender male, transgender female, non-binary, genderqueer, transmasculine) and non-heterosexual orientations (e.g., bisexual) were represented, and participants were categorized into one of four groups: (1) assigned female at birth but does not identify as female (transgender AFAB) (n = 32), (2) cisgender female (n = 21), (3) assigned male at birth but does not identify as male (transgender AMAB) (n = 18), and (4) cisgender male (n = 18). After controlling for age and autism diagnostic status, transgender AFAB participants had marginally higher AQ scores, and significantly higher SQ-S and systemizing-relative-to-empathizing (D) scores, compared with the cisgender female group. No such differences were detected between the transgender AMAB and cisgender male groups. Our findings are broadly in line with predictions derived from the EMB theory, though as no transgender AFAB participants reported being heterosexual, it was not possible to determine whether these effects relate specifically to gender identity, to sexual orientation, or to both.

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This study compares the Empathy Quotient (EQ) and Systemizing Quotient (SQ) scores of elementary school children with and without ADHD. The study also examined their brain types and, because sex plays a big role in empathy and systemizing ability, compared the results of the boys and girls. This cross-sectional study involved 122 participants, including 61 parents of children with ADHD and 61 parents of children without ADHD. The EQ, SQ and brain types were obtained using the Empathy and Systemizing Quotient in children (EQ-/SQ-C), validated in the Indonesian language. Data was analyzed using the SPSS program version 20 for Windows, with a p-value < 0.05 for statistical significance. There was a significant difference in EQ between children with and without ADHD, the score being lower in children with ADHD. There was also a significant difference in SQ among girls with and without ADHD, but not in boys. The brain types in both groups were not significantly different. The results indicate that children with ADHD have a lower ability to empathize compared to children without ADHD. Systemizing abilities were significantly lower in girls with ADHD than in girls without. Therefore, an intervention program focusing on improving empathy and systemizing ability needs to be developed in the community.

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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.

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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.

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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.

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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.

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