1. Deng L, He WZ, Zhang QL, Wei L, Dai Y, Liu YQ, Chen ZL, Ren T, Zhang LL, Gong JB, Li F. Caregiver-child interaction as an effective tool for identifying autism spectrum disorder: evidence from EEG analysis. Child and adolescent psychiatry and mental health. 2023; 17(1): 138.

BACKGROUND: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder that affects individuals across their lifespan. Early diagnosis and intervention are crucial for improving outcomes. However, current diagnostic methods are often time-consuming, and costly, making them inaccessible to many families. In the current study, we aim to test caregiver-child interaction as a potential tool for screening children with ASD in clinic. METHODS: We enrolled 85 preschool children (Mean age: 4.90 ± 0.65 years, 70.6% male), including ASD children with or without developmental delay (DD), and typical development (TD) children, along with their caregivers. ASD core symptoms were evaluated by Childhood Autism Rating Scale (CARS) and Autism Diagnostic Observation Schedule-Calibrated Severity Scores (ADOS-CSS). Behavioral indicators were derived from video encoding of caregiver-child interaction, including social involvement of children (SIC), interaction time (IT), response of children to social cues (RSC), time for caregiver initiated social interactions (GIS) and time for children initiated social interactions (CIS)). Power spectral density (PSD) values were calculated by EEG signals simultaneously recorded. Partial Pearson correlation analysis was used in both ASD groups to investigate the correlation among behavioral indicators scores and ASD symptom severity and PSD values. Receiver operating characteristic (ROC) analysis was used to describe the discrimination accuracy of behavioral indicators. RESULTS: Compared to TD group, both ASD groups demonstrated significant lower scores of SIC, IT, RSC, CIS (all p values < 0.05), and significant higher time for GIS (all p values < 0.01). SIC scores negatively correlated with CARS (p = 0.006) and ADOS-CSS (p = 0.023) in the ASD with DD group. Compared to TD group, PSD values elevated in ASD groups (all p values < 0.05), and was associated with SIC (theta band: p = 0.005; alpha band: p = 0.003) but not IQ levels. SIC was effective in identifying both ASD groups (sensitivity/specificity: ASD children with DD, 76.5%/66.7%; ASD children without DD, 82.6%/82.2%). CONCLUSION: Our results verified the behavioral paradigm of caregiver-child interaction as an efficient tool for early ASD screening.

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2. Franco FO, Oliveira JS, Portolese J, Sumiya FM, Silva AF, Machado-Lima A, Nunes FLS, Brentani H. Computer-aided autism diagnosis using visual attention models and eye-tracking: replication and improvement proposal. BMC medical informatics and decision making. 2023; 23(1): 285.

BACKGROUND: Autism Spectrum Disorder (ASD) diagnosis can be aided by approaches based on eye-tracking signals. Recently, the feasibility of building Visual Attention Models (VAMs) from features extracted from visual stimuli and their use for classifying cases and controls has been demonstrated using Neural Networks and Support Vector Machines. The present work has three aims: 1) to evaluate whether the trained classifier from the previous study was generalist enough to classify new samples with a new stimulus; 2) to replicate the previously approach to train a new classifier with a new dataset; 3) to evaluate the performance of classifiers obtained by a new classification algorithm (Random Forest) using the previous and the current datasets. METHODS: The previously approach was replicated with a new stimulus and new sample, 44 from the Typical Development group and 33 from the ASD group. After the replication, Random Forest classifier was tested to substitute Neural Networks algorithm. RESULTS: The test with the trained classifier reached an AUC of 0.56, suggesting that the trained classifier requires retraining of the VAMs when changing the stimulus. The replication results reached an AUC of 0.71, indicating the potential of generalization of the approach for aiding ASD diagnosis, as long as the stimulus is similar to the originally proposed. The results achieved with Random Forest were superior to those achieved with the original approach, with an average AUC of 0.95 for the previous dataset and 0.74 for the new dataset. CONCLUSION: In summary, the results of the replication experiment were satisfactory, which suggests the robustness of the approach and the VAM-based approaches feasibility to aid in ASD diagnosis. The proposed method change improved the classification performance. Some limitations are discussed and additional studies are encouraged to test other conditions and scenarios.

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3. Gonçalves BP, Silva ES, Luçardo JDC, Fernandes MP, Grokoski KC, Vaz JDS, Valle SC. Increased monocytes are associated with overweight in children and adolescents with autism spectrum disorder. Nutricion hospitalaria. 2023; 40(6): 1136-43.

Objective: to investigate the monocyte count and its association with nutritional status in children and adolescents with autism spectrum disorder (ASD). Methods: a cross-sectional study carried out at a Neurodevelopmental Center in the south of Brazil, with 68 ASD patients aged 3 to 18 years. The number of monocytes (per mm3) was determined in blood samples. Nutritional status was defined as BMI-for-age according to WHO standards. The Children’s Eating Behaviour Questionnaire and a standard questionnaire to collect sociodemographic and clinical characteristics were administered to caregivers. Comparisons between sociodemographic, clinical, and eating behavior variables were performed with parametric tests. Linear regression was used to test the association between nutritional status and monocyte count. Results: mean age was 8.6 ± 3.3 years, 79 % were males and 66 % were overweight. In the unadjusted regression overweight was associated with higher monocyte counts compared to those non-overweight (B: 64.0; 95 % CI, 13.9 to 114.1; β: 0.30, p = 0.01). This association remained significant after adjustment for the subscale of « emotional overeating » (B: 37.0; 95 % CI, 17.1 to 91.3; β: 0.29; p = 0.02). The variability in monocyte count attributed to overweight was 14 %. Conclusions: overweight is associated with a higher monocyte count in children and adolescents with ASD. Nutritional intervention to control overweight is essential to mitigate the negative impact on inflammatory activity and immune dysfunction in these patients.

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4. Khalifa GF, Alzubaidi BY, Bamarouf DA, Alsaedi YB, Alayyafi OH, Ramadan MM. Perspective of adults in Saudi Arabia toward complementary and alternative medicine use for autism spectrum disorder: a cross-sectional study. BMC complementary medicine and therapies. 2023; 23(1): 454.

BACKGROUND: Autism Spectrum Disorder (ASD) is a high-prevalence neurodevelopmental disorder characterized by communicational, social, and behavioral challenges. Complementary and alternative medicine (CAM) is a group of practices and products that fall outside the realm of conventional medicine practiced worldwide. Traditional CAM is a health practice that comes from a particular culture, such as the use of Zamzam water and black seeds in Saudi Arabia. CAM comprises widely utilized practices in Saudi Arabia for children of various ages and adults. In many cases, CAM is used to treat ASD. The aim of this study is to investigate the perspectives of adults in Saudi Arabia toward CAM for treating ASD. METHODS: A cross-sectional study was conducted by distributing an online questionnaire to adults in different regions of Saudi Arabia. RESULTS: A total of 4,311 adults participated in this study; 66.8% were females and 33.2% were male. Half of the participants reported that they knew about ASD (54.7%). More than half of the participants indicated that CAM-including art therapy (69.0%), physical exercise (67.0%), and limiting the use of electronic (55.4%)-could help in ASD management. Around half of the respondents indicated a belief that traditional treatment cannot help in treating ASD (53.9%). Only 20.0% of the respondents thought that ASD could be entirely treated using CAM therapies. The most common source of knowledge about CAM was social media and the internet (58.6%). CONCLUSIONS: The majority of participants in this study did not believe that ASD could be treated entirely using CAM. In addition, fewer than half of the participants believed that CAM therapies could improve different aspects of ASD, such as behavioral issues. The study highlighted the need for awareness among residents of Saudi Arabia regarding specific treatments for ASD.

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5. Lee JK. Mapping the Intrinsic Structural Connectivity Landscape in Autism. Biological psychiatry. 2024; 95(2): 100-1.

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6. Neo WS, Foti D, Keehn B, Kelleher B. Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysis. Translational psychiatry. 2023; 13(1): 389.

Narrative reviews have described various resting-state EEG power differences in autism across all five canonical frequency bands, with increased power for low and high frequencies and reduced power for middle frequencies. However, these differences have yet to be quantified using effect sizes and probed robustly for consistency, which are critical next steps for clinical translation. Following PRISMA guidelines, we conducted a systematic review of published and gray literature on resting-state EEG power in autism. We performed 10 meta-analyses to synthesize and quantify differences in absolute and relative resting-state delta, theta, alpha, beta, and gamma EEG power in autism. We also conducted moderator analyses to determine whether demographic characteristics, methodological details, and risk-of-bias indicators might account for heterogeneous study effect sizes. Our literature search and study selection processes yielded 41 studies involving 1,246 autistic and 1,455 neurotypical individuals. Meta-analytic models of 135 effect sizes demonstrated that autistic individuals exhibited reduced relative alpha (g = -0.35) and increased gamma (absolute: g = 0.37, relative: g = 1.06) power, but similar delta (absolute: g = 0.06, relative: g = 0.10), theta (absolute: g = -0.03, relative: g = -0.15), absolute alpha (g = -0.17), and beta (absolute: g = 0.01, relative: g = 0.08) power. Substantial heterogeneity in effect sizes was observed across all absolute (I(2): 36.1-81.9%) and relative (I(2): 64.6-84.4%) frequency bands. Moderator analyses revealed that age, biological sex, IQ, referencing scheme, epoch duration, and use of gold-standard autism diagnostic instruments did not moderate study effect sizes. In contrast, resting-state paradigm type (eyes-closed versus eyes-open) moderated absolute beta, relative delta, and relative alpha power effect sizes, and resting-state recording duration moderated relative alpha power effect sizes. These findings support further investigation of resting-state alpha and gamma power as potential biomarkers for autism.

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7. Scheerer NE, Shafai F, Stevenson RA, Iarocci G. Correction to: Affective Prosody Perception and the Relation to Social Competence in Autistic and Typically Developing Children. Research on child and adolescent psychopathology. 2023.

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8. Wright B, Kingsley E, Cooper C, Biggs K, Bursnall M, Wang HI, Chater T, Coates E, Teare MD, McKendrick K, Gomez de la Cuesta G, Barr A, Solaiman K, Packham A, Marshall D, Varley D, Nekooi R, Parrott S, Ali S, Gilbody S, Le Couteur A. Play brick therapy to aid the social skills of children and young people with autism spectrum disorder: the I-SOCIALISE cluster RCT. Public health research (Southampton, England). 2023; 11(12): 1-137.

BACKGROUND: Social skills interventions are commonly recommended to help children and young people with autism spectrum disorder develop social skills, but some struggle to engage in these interventions. LEGO(®) (LEGO System A/S, Billund, Denmark) based therapy, a group social skills intervention, aims to be more interesting and engaging. OBJECTIVE: To evaluate the clinical effectiveness of LEGO(®) based therapy on the social and emotional skills of children and young people with autism spectrum disorder in school settings compared with usual support. Secondary objectives included evaluations of cost-effectiveness, acceptability and treatment fidelity. DESIGN: A cluster randomised controlled trial randomly allocating participating schools to either LEGO(®) based therapy and usual support or usual support only. SETTING: Mainstream schools in the north of England. PARTICIPANTS: Children and young people (aged 7-15 years) with autism spectrum disorder, their parent/guardian, an associated teacher/teaching assistant and a facilitator teacher/teaching assistant (intervention schools only). INTERVENTION: Schools randomised to the intervention arm delivered 12 weekly sessions of LEGO(®) based therapy, which promotes collaborative play and encourages social problem-solving in groups of three children and young people with a facilitator (trained teacher or teaching assistant). Participants received usual support from school and community services. Participants in the control arm received usual support only. Research assistants and statisticians were blind to treatment allocation. MAIN OUTCOME MEASURE: The social skills subscale of the Social Skills Improvement System (SSIS), completed by the children and young people’s unblinded teacher pre randomisation and 20 weeks post randomisation. The SSIS social skills subscale measures social skills including social communication, co-operation, empathy, assertion, responsibility and self-control. Participants completed a number of other pre- and post-randomisation measures of emotional health, quality of life, loneliness, problem behaviours, academic competence, service resource utilisation and adverse events. RESULTS: A total of 250 children and young people from 98 schools were randomised: 127 to the intervention arm and 123 to the control arm. Intention-to-treat analysis of the main outcome measure showed a modest positive difference of 3.74 points (95% confidence interval -0.16 to 7.63 points, standardised effect size 0.18; p = 0.06) in favour of the intervention arm. Statistical significance increased in per-protocol analysis, with a modest positive difference (standardised effect size 0.21; p = 0.036). Cost-effectiveness of the intervention was found in reduced service use costs and a small increase in quality-adjusted life-years. Intervention fidelity and acceptability were positive. No intervention-related adverse events or effects were reported. CONCLUSIONS: The primary and pre-planned sensitivity analysis of the primary outcome consistently showed a positive clinical difference, with modest standardised effect sizes of between 0.15 and 0.21. There were positive health economics and qualitative findings, corroborated by the difference between arms for the majority of secondary outcomes, which were not statistically significant but favoured the intervention arm. Post hoc additional analysis was exploratory and was not used in drawing this conclusion. Given the small positive change, LEGO(®) based therapy for children and young people with autism spectrum disorder in schools should be considered. LIMITATIONS: The primary outcome measure was completed by an unblinded teacher (rather than by the facilitator). FUTURE WORK: The study team recommends future research into LEGO(®) based therapy, particularly in school environments. TRIAL REGISTRATION: This trial is registered as ISRCTN64852382. FUNDING: This award was funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme (NIHR award ref: 15/49/32) and is published in full in Public Health Research; Vol. 11, No. 12. See the NIHR Funding and Awards website for further award information. Autism spectrum disorder is characterised by difficulties with social relationships and communication, which can make it difficult to make friends. Social skills training is commonly used to help children and young people learn different social skills, but some children and young people do not enjoy these therapies. LEGO(®) (LEGO System A/S, Billund, Denmark) based therapy takes a new approach by focusing on making the process interesting and fun. This research investigated the effect of LEGO(®) based therapy groups in schools on the social and emotional abilities of children and young people with autism spectrum disorder. It was a randomised controlled trial, so each school that was taking part was randomly chosen to provide either usual support (from the school or NHS services) or 12 sessions of LEGO(®) based therapy with a trained school staff member as well as usual support. Children and young people played one of three roles – the ‘engineer’ (gives instructions), the ‘supplier’ (finds the pieces) or the ‘builder’ (builds the model) – and worked together. Questionnaires completed by children and young people, their parents/guardians and teachers were used to look at the intervention’s effects. The main objective was to see if there was a change in social skills measured by a teacher-completed questionnaire. Results showed that the social skills of children and young people in the LEGO(®) based therapy groups did improve a little. We found that the intervention is not very costly for schools to run. Many parents/guardians and teachers thought that the intervention was beneficial and that the children and young people enjoyed it. eng.

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