Cognitive behavioural therapy to improve social skills in children and adolescents with autism spectrum disorder: A meta-analysis of randomised controlled trials.

BACKGROUND: Cognitive behavioural therapy (CBT) is effective in treating various neurological and psychiatric diseases. It improves anxiety symptoms in children with autism spectrum disorder, gaining considerable empirical support. However, social skills results are mixed, leading to debate over its effectiveness, highlighting the need for further development. While the Social Responsiveness Scale (SRS) is a secondary indicator to measure anxiety symptoms, it primarily evaluates social skills, which are essential for rehabilitating children with autism. Therefore, evaluating social disorder improvement in children with autism is imperative. Social impairment is a core autism symptom. Therefore, we conducted a systematic review of randomised controlled trials assessing the effects of CBT on social skills in this population. METHODS: We reviewed articles published in several databases through October 2022 and relevant reference lists. We used the standardised mean difference (SMD) as the main effect size indicator and focused on SRS metrics from baseline to endpoint. We analysed subgroups, heterogeneity, bias risk, and publication bias. RESULTS: Our meta-analysis included 214 children from seven randomised controlled trials with nine datasets. Forest plot analysis shows CBT improved social skills in children with autism compared to controls. Subgroup analysis revealed parents' and teachers' SRS scores for children, SRS scores of CBT versus waitlist controls, and those of CBT versus non-waiting-list controls. LIMITATIONS: Most randomised controlled CBT trials for children with autism have explored anxiety symptom improvement. Further, social skill assessment was a secondary outcome or not assessed. Thus, social skills data are insufficient. CONCLUSIONS: CBT is effective in improving social impairment in children with autism. REGISTRATION: This meta-analysis was registered with the International Prospective Register of Systematic Reviews (CRD42022363423).

Co-occurring ASD Mediates Impact of ADHD on Atopic Dermatitis and Acne: A Retrospective Cohort Study.

BACKGROUND: ADHD and ASD are associated with dermatologic manifestations, yet little research investigates co-occurring ADHD/ASD and common dermatologic conditions. OBJECTIVE: To investigate associations between ADHD, ASD, acne vulgaris, and atopic dermatitis. METHODS: Using de-identified patient records from the TriNetX database, we created four cohorts on ADHD diagnosis, ASD diagnosis, both, neither. Cohorts were separated into males and females. We balanced each cohort based on age, sex, race, and ethnicity to the baseline cohort with neither ASD or ADHD. Finally, we examined prevalence of acne and eczema. RESULTS: The cohort sizes varied from 19,764 to 345,626. Compared to matched peers, males with ADHD or ADHD/ASD had increased prevalence of acne, and all neurodivergent males had increased prevalence of eczema. Females with ADHD had an increase in both. Females with ADHD/ASD had no significant differences, and females with ASD had a decreased risk of eczema. LIMITATIONS: Due to database limitations, we are unable to: analyze symptom severity, skincare routine, or treatment adherence. CONCLUSIONS: The decreased risk of eczema in females with ASD and lack of significant difference in incidence of acne or eczema in females with ADHD/ASD compared to matched peers suggests research into approaches to skincare in males versus females with ASD may provide clinically relevant insights.

Assessment of Autism Spectrum Disorder.

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by challenges in social interaction and communication and the presence of restricted interests and repetitive behaviors. The importance of early detection of ASD and subsequent early intervention is well documented. Efforts have been made over the years to clarify ASD diagnostic criteria and develop predictive, accurate screening tools and evidence-based, standardized diagnostic instruments to aid in the identification of ASD. In this article, we review the most recent changes in ASD diagnostic criteria in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision, summarize evidence-based instruments for ASD screening and diagnostic evaluations as well as the assessment of co-occurring conditions in ASD, the impact of COVID-19 on ASD assessment, and directions for future research in the field of ASD assessment.

Identification of novel NRF2-dependent genes as regulators of lead and arsenic toxicity in neural progenitor cells.

Lead (Pb) and arsenic (As) are prevalent metal contaminants in the environment. Exposures to these metals are associated with impaired neuronal functions and adverse effects on neurodevelopment in children. However, the molecular mechanisms by which Pb and As impair neuronal functions remain poorly understood. Here, we identified F2RL2, TRIM16L, and PANX2 as novel targets of Nuclear factor erythroid 2-related factor 2 (NRF2)-the master transcriptional factor for the oxidative stress response-that are commonly upregulated with both Pb and As in human neural progenitor cells (NPCs). Using a ChIP (Chromatin immunoprecipitation)-qPCR assay, we showed that NRF2 directly binds to the promoter region of F2RL2, TRIM16L, and PANX2 to regulate expression of these genes. We demonstrated that F2RL2, PANX2, and TRIM16L have differential effects on cell death, proliferation, and differentiation of NPCs in both the presence and absence of metal exposures, highlighting their roles in regulating NPC function. Furthermore, the analyses of the transcriptomic data on NPCs derived from autism spectrum disorder (ASD) patients revealed that dysregulation of F2RL2, TRIM16L, and PANX2 was associated with ASD genetic backgrounds and ASD risk genes. Our findings revealed that Pb and As induce a shared NRF2-dependent transcriptional response in NPCs and identified novel genes regulating NPC function. While further in vivo studies are warranted, this study provides a novel mechanism linking metal exposures to NPC function and identifies potential genes of interest in the context of neurodevelopment.

Exposure to different PM2.5 extracts induces gliosis and changes behavior in male rats similar to autism spectrum disorders features.

Epidemiological studies have documented that exposure to fine particulate matter (PM2.5) could affect neurodevelopment, thereby leading to autism spectrum disorders (ASD). Nevertheless, there is little laboratory data to support this epidemiological evidence. In the current study, we carried out a series of experiments to assess whether developmental exposures to different extracts of PM2.5 can result in ASD-like behavioral, biochemical, and immunohistochemical characteristics in male rat offspring. PM2.5 samples were collected daily for a year, and monthly composites were extracted with an acetone-hexane mixture. The extracts were analyzed for their chemical constituents. Three groups of rats were exposed to the different PM2.5 extracts during pre- and postnatal periods. All exposed groups of rats exhibited typical behavioral features of ASD, including increased repetitive and depression-related behaviors. We also found microglia and astrocytes activation and decreased concentrations of oxytocin (OXT) in the brain regions of exposed rats compared with control rats. Comparing the current results with a prior study, the induced biological effects followed a sequence of whole particles of PM2.5 > organic extract > inorganic extract. These findings indicated that exposure to PM2.5 can elicit ASD-like features in rats and raise concerns about particulate matter as a possible trigger for the induction of ASD in humans; therefore, mitigating the contents of the PAHs and metals could reduce the PM2.5 neurotoxicity.

Neurodevelopmental consequences of gestational exposure to particulate matter 10: Ultrasonic vocalizations and gene expression analysis using a bayesian approach.

Air pollution has been associated with a wide range of health issues, particularly regarding cardio-respiratory diseases. Increasing evidence suggests a potential link between gestational exposure to environmental pollutants and neurodevelopmental disorders such as autism spectrum disorder. The respiratory pathway is the most commonly used exposure model regarding PM due to valid and logical reasons. However, PM deposition on food (vegetables, fruits, cereals, etc.) and water has been previously described. Although this justifies the need of unforced, oral models of exposure, preclinical studies using oral exposure are uncommon. Specifically, air pollution can modify normal brain development at genetic, cellular, and structural levels. The present work aimed to investigate the effects of oral gestational exposure to particulate matter (PM) on ultrasonic vocalizations (USV). To this end, pregnant rats were exposed to particulate matter during gestation. The body weight of the pups was monitored until the day of recording the USVs. The results revealed that the exposed group emitted more USV calls when compared to the control group. Furthermore, the calls from the exposed group were longer in duration and started earlier than those from the non-exposed group. Gene expression analyses showed that PM exposure down-regulates the expression of Gabrg2 and Maoa genes in the brain, but no effect was detected on glutamate or other neurotransmission systems. These findings suggest that gestational exposure to PM10 may be related to social deficits or other phenomena that can be analyzed with USV. In addition, we were able to detect abnormalities in the expression of genes related to different neurotransmitter systems, such as the GABAergic and monoaminergic systems. Further research is needed to fully understand the possible effects of air pollutant exposure on neurodevelopmental disorders as well as the way in which these effects are linked to differences in neurotransmission systems.

The effects of valproic acid neurotoxicity on aggressive behavior in zebrafish autism model.

Valproic acid (VPA) is an effective drug, which is preferred for the treatments of epilepsy and various kinds of seizures. Nonetheless, VPA has many side effects associated with autism spectrum disorder (ASD). Therefore, we conducted molecular and behavior tests in adult proactive zebrafish after VPA exposure to investigate gene transcription changes, social behavior, aggression, anxiety and locomotion. Our findings revealed that VPA exposure generates ASD-like phenotypes and behaviors: genes associated with autism, such as adsl, mbd5 and shank3a altered; social interaction deficit. Further behavioral patterns suggest that VPA exposure induces decreases in aggression and increases the anxiety behavior and body cortisol significantly. VPA exposure did not affect locomotor activity in zebrafish. Additionally, we used correlative analyses to investigate the robustness between the ASD-related genes and the different behavior tests, results showed that ASD-related genes are negatively associated with aggressive behavior. Our study demonstrated that aggressive behavior assay is a better predictor of behavior for neurotoxicology of VPA.

Exposure to greenness during pregnancy and the first three years after birth and autism spectrum disorder: A matched case-control study in shanghai, China.

Causes of autism spectrum disorder (ASD) have not been fully understood. Previous studies have linked environmental factors with ASD. However, evidence for the greenness-ASD association is limited, especially in China. To fill this gap, we conducted a matched case-control study to examine the association between greenness and ASD in China. Participants in this study were 84,934 children aged 3-12 years in Shanghai, China, selected using a multi-stage cluster sampling method. ASD cases were firstly screened by questionnaires completed by both children's parents and teachers, and were then confirmed by clinical examinations. Further, 10 healthy controls were randomly selected to match each ASD case by age and sex. The final analyses included 146 ASD cases and 1460 healthy controls. Participants' exposure to greenness before and after birth was assessed by normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI) from NASA's Earth Observing System according to their residential locations. We used conditional logistic regression to examine the ASD-greenness association. Per interquartile range (IQR) increase in EVI500m and NDVI500m during the year before birth were associated with lower risks of ASD with adjusted odds ratios (ORs) and 95% confidence intervals (CIs) of 0.96 (95%CI: 0.946, 0.975, IQR = 0.074) and 0.937 (95%CI: 0.915, 0.959, IQR = 0.101). Exposure to greenness during the first 3 years after birth was also significantly associated with lower risk of ASD [IQR ORs for EVI500m and NDVI500m were 0.935 (95%CI: 0.91, 0.962, IQR = 0.06) and 0.897 (95%CI: 0.861, 0.935, IQR = 0.09), respectively]. Air pollution showed mediation effects on thegreenness-ASD association. Greenness was observed to have stronger beneficial effects on children without historical diseases and term birth. More greenness exposure before and after birth were significantly associated with lower risks of ASD in children. Our results highlight the importance of greenness in urban planning.

Genetic variability in the oxytocin system is linked to individual differences in cuddliness among human infants.

Pleasant touch facilitates social interactions, affiliative behavior and emotional bonding, contributing to positive infant and child development. Oxytocin is presumed to play an important role in mediating these effects of pleasant touch on brain, body and behavior. However, little is known about the role the oxytocin system plays in pleasant touch during infancy. This study examined the hypothesis that genetic variability in the oxytocin system is linked to individual differences in infants' cuddliness operationalized as parent-reported behaviors indexing an infant's motivation to seek out and enjoy caregiver touch. Our results (N = 82) show that a polymorphism in CD38 (rs3796863), previously linked with increased release of oxytocin in adults, was associated with higher reported rates of cuddliness. In contrast, infants with CD38 genotype previously linked to autism spectrum disorder (ASD) and reduced release of oxytocin in adults, was associated with lower rates of cuddliness. These findings support the hypothesis that, from early in human ontogeny, genetic variation in the oxytocin system is systematically linked to individual differences in the reported motivation to seek out, and the enjoyment of receiving, pleasant caregiver touch. This provides novel insights into the neurohormonal processes involved in pleasant touch.

Diminished emotion recognition with reduced face gaze in complex situation in individuals with broad autism phenotype / Disminución del reconocimiento de emociones en situaciones complejas debido a la reducción de la mirada a la cara en individuos con fenotipo de autismo amplio

Background/objective: Individuals with broad autism phenotype (BAP) showed a diminished ability to recognize emotion. This study aims to examine whether their decline in emotion recognition ability could be more clearly identified as task complexity increased and whether their decline could be influenced by their eye-gaze patterns. Method: 41 individuals with BAP and 40 healthy controls performed two types of emotion recognition tasks. After confirming conditions wherein the BAP group did not perform well compared to the control group, we compared gaze proportion on faces and context between groups when performing the conditions. Results: The more difficult the task, the clearer the significant relationships between the level of autistic traits and emotion recognition ability. The BAP group showed lower accuracy compared to the control group when a face with mild emotional intensity was presented with context. In terms of gaze proportion, the BAP group looked less at faces when recognizing emotions compared to the control group. Conclusion: These findings indicate that diminished emotion recognition ability in individuals with BAP may be influenced by face gaze. (AU)

Supervised machine learning: A new method to predict the outcomes following exercise intervention in children with autism spectrum disorder

The individual differences among children with autism spectrum disorder (ASD) may make it challenging to achieve comparable benefits from a specific exercise intervention program. A new method for predicting the possible outcomes and maximizing the benefits of exercise intervention for children with ASD needs further exploration. Using the mini-basketball training program (MBTP) studies to improve the symptom performance of children with ASD as an example, we used the supervised machine learning method to predict the possible intervention outcomes based on the individual differences of children with ASD, investigated and validated the efficacy of this method. In a long-term study, we included 41 ASD children who received the MBTP. Before the intervention, we collected their clinical information, behavioral factors, and brain structural indicators as candidate factors. To perform the regression and classification tasks, the random forest algorithm from the supervised machine learning method was selected, and the cross validation method was used to determine the reliability of the prediction results. The regression task was used to predict the social communication impairment outcome following the MBTP in children with ASD, and explainable variance was used to evaluate the predictive performance. The classification task was used to distinguish the core symptom outcome groups of ASD children, and predictive performance was assessed based on accuracy. We discovered that random forest models could predict the outcome of social communication impairment (average explained variance was 30.58%) and core symptom (average accuracy was 66.12%) following the MBTP, confirming that the supervised machine learning method can predict exercise intervention outcomes for children with ASD. (AU)

Comparison of three bioinformatics tools in the detection of ASD candidate variants from whole exome sequencing data.

Autism spectrum disorder (ASD) is a heterogenous multifactorial neurodevelopmental condition with a significant genetic susceptibility component. Thus, identifying genetic variations associated with ASD is a complex task. Whole-exome sequencing (WES) is an effective approach for detecting extremely rare protein-coding single-nucleotide variants (SNVs) and short insertions/deletions (INDELs). However, interpreting these variants' functional and clinical consequences requires integrating multifaceted genomic information. We compared the concordance and effectiveness of three bioinformatics tools in detecting ASD candidate variants (SNVs and short INDELs) from WES data of 220 ASD family trios registered in the National Autism Database of Israel. We studied only rare (< 1% population frequency) proband-specific variants. According to the American College of Medical Genetics (ACMG) guidelines, the pathogenicity of variants was evaluated by the InterVar and TAPES tools. In addition, likely gene-disrupting (LGD) variants were detected based on an in-house bioinformatics tool, Psi-Variant, that integrates results from seven in-silico prediction tools. Overall, 372 variants in 311 genes distributed in 168 probands were detected by these tools. The overlap between the tools was 64.1, 22.9, and 23.1% for InterVar-TAPES, InterVar-Psi-Variant, and TAPES-Psi-Variant, respectively. The intersection between InterVar and Psi-Variant (I âˆ© P) was the most effective approach in detecting variants in known ASD genes (PPV = 0.274; OR = 7.09, 95% CI = 3.92-12.22), while the union of InterVar and Psi Variant (I U P) achieved the highest diagnostic yield (20.5%).Our results suggest that integrating different variant interpretation approaches in detecting ASD candidate variants from WES data is superior to each approach alone. The inclusion of additional criteria could further improve the detection of ASD candidate variants.

Altered Gut Microbiota and Short-chain Fatty Acids in Chinese Children with Constipated Autism Spectrum Disorder.

Gastrointestinal symptoms are more prevalent in children with autism spectrum disorder (ASD) than in typically developing (TD) children. Constipation is a significant gastrointestinal comorbidity of ASD, but the associations among constipated autism spectrum disorder (C-ASD), microbiota and short-chain fatty acids (SCFAs) are still debated. We enrolled 80 children, divided into the C-ASD group (n = 40) and the TD group (n = 40). In this study, an integrated 16S rRNA gene sequencing and gas chromatography-mass spectrometry-based metabolomics approach was applied to explore the association of the gut microbiota and SCFAs in C-ASD children in China. The community diversity estimated by the Observe, Chao1, and ACE indices was significantly lower in the C-ASD group than in the TD group. We observed that Ruminococcaceae_UCG_002, Erysipelotrichaceae_UCG_003, Phascolarctobacterium, Megamonas, Ruminiclostridium_5, Parabacteroides, Prevotella_2, Fusobacterium, and Prevotella_9 were enriched in the C-ASD group, and Anaerostipes, Lactobacillus, Ruminococcus_gnavus_group, Lachnospiraceae_NK4A136_group, Ralstonia, Eubacterium_eligens_group, and Ruminococcus_1 were enriched in the TD group. The propionate levels, which were higher in the C-ASD group, were negatively correlated with the abundance of Lactobacillus taxa, but were positively correlated with the severity of ASD symptoms. The random forest model, based on the 16 representative discriminant genera, achieved a high accuracy (AUC = 0.924). In conclusion, we found that C-ASD is related to altered gut microbiota and SCFAs, especially decreased abundance of Lactobacillus and excessive propionate in faeces, which provide new clues to understand C-ASD and biomarkers for the diagnosis and potential strategies for treatment of the disorder. This study was registered in the Chinese Clinical Trial Registry ( www.chictr.org.cn ; trial registration number ChiCTR2100052106; date of registration: October 17, 2021).

A systematic review and meta-analysis on the ocular characteristics in children and adolescents with neurodevelopmental disorders.

To conduct a systematic review and meta-analysis of the association between children and adolescents with attention deficit hyperactivity disorder (ADHD) or autism spectrum disorder (ASD) and ocular characteristics. Systematic review with meta-analysis. Six databases (PubMed, Scopus, APA PsycInfo, Embase, EBSCOhost, and Cochrane library) were selected for a systematic literature search from database inception to July 2022. The observational studies assessing and reporting at least one outcome regarding ocular characteristics in children and adolescents with ADHD or ASD aged 6-17 were included. Studies in languages other than English, studies of adult or elderly human populations, and animal studies were excluded. The results were analyzed following the PRISMA guideline 2020. The findings of 15 studies, including 433 participants with ADHD, 253 participants with ASD, and 514 participants with typical development (TD), revealed that there were no significant differences in retinal nerve fiber layer, ganglion cell complex, and macular thickness between the ADHD group and the TD group. In subgroup analysis, significant differences in inferior ganglion cell (MD = - 3.19; 95% CI = [- 6.06, - 0.31], p = 0.03) and nasal macular thickness (MD = 5.88; 95% CI = [- 0.01, 11.76], p = 0.05) were detected between the ADHD group and the TD group. A significant difference in pupillary light reflex (PLR) was also observed between the ASD group and the TD group (MD = 29.7; 95% CI = [18.79, 40.63], p < 0.001). Existing evidence suggests a possible association between children and adolescents with ADHD or ASD and ocular characteristics. Given the limited number of studies, further research on a larger cohort is necessary to claim a possible diagnosis of ADHD or ASD through ocular characteristics.

Sports Stars Brazil in children with autism spectrum disorder: A feasibility randomized controlled trial protocol.

BACKGROUND: Autism Spectrum Disorder (ASD) children have lower levels of participation in recreational and sporting activities when compared to their peers. Participation has been defined based on the Family of Participation-Related Constructs (fPRC) which defines participation as including both attendance and involvement, with sense of self, preferences and activity competence related to a child's participation. Modified sports interventions such as Sports Stars can act on physical literacy and some of the fPRCs components. This study aims to assess the feasibility of the Sports Stars Brazil intervention for children with ASD. METHODS: This study will be conducted with 36 participants with ASD aged 6 to 12 years old following the CONSORT for pilot and feasibility recommendation. Participants will be randomly allocated into two groups. Intervention group will receive eight, weekly Sports Stars sessions. Each session will include of sports-focused gross motor activity training, confidence building, sports-education and teamwork development. Study assessments will occur at baseline, immediately post-intervention and 20-weeks post-randomization. First, we will assess process feasibility measures: recruitment, assessment completion, adherence, adverse events and satisfaction. Second, we will investigate the scientific feasibility of the intervention by estimating the effect size and variance at the level of achievement sports-related activity and physical activity participation goals (Goal Attainment Scaling), activity competence (Ignite Challenge, Test of Gross Motor Development-second edition, Physical Literacy Profile Questionnaire, Pediatric Disability Assessment Inventory-Computer Adaptive Test-PEDI-CAT-mobility, 10×5 Sprint Test and Muscle Power Sprint Test), sense of self (PEDI-CAT-responsibility), and overall participation at home, school and community, (Participation and Environment Measure for children and young people, PEM-CY). DISCUSSION: The results of this feasibility study will inform which components are critical to planning and preparing a future RCT study, aiming to ensure that the RCT will be feasible, rigorous and justifiable. TRIAL REGISTRATION: The trial was registered with the Brazilian Registry of Clinical Trials database (ID: RBR-9d5kyq4) on June 15, 2022.

Risk of psychosis in autism spectrum disorder individuals exposed to psychosocial stressors: A 9-year chart review study.

Psychosocial stressors have been suggested to precipitate psychotic episodes in patients with pre-existing psychosis and otherwise healthy subjects. However, such a risk has never been formally investigated in individuals with autism spectrum disorder (ASD). Sixty-nine autistic adolescents hospitalized for psychotic/manic symptoms (PSY) and other mental health issues (NPSY) over a 9-year period were compared with reference to their previous exposure to psychosocial stressors. ASD diagnoses satisfied the International Classification of Diseases (ICD)-10 criteria. Psychotic/manic symptom assessment followed the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS). Psychosocial stressor exposure was collected separately at each admission. Preliminarily, univariate between-group comparisons were conducted. Then, a binomial model was adopted to investigate associations with previous exposure to psychosocial stressors. Results were reported with a change in AIC (ΔAIC). PSY patients presented with higher previous exposure to adverse life events (30.43% vs. 6.52%, OR = 6.079 [1.209, 40.926], p = 0.013) and school/work difficulties (30.43% vs. 8.70%, OR = 4.478 [0.984, 23.846], p = 0.034) than NPSY ones. Admissions for psychotic/manic symptoms occurred more likely in the context of family disturbances (OR = 2.275 [1.045, 5.045], p = 0.030) and adverse life events (OR = 3.489 [1.194, 11.161], p = 0.014). The fitted binomial model was found to be significant compared to the random effects model (ΔAIC = -1.962; χ2 10 = 21.96, p = 0.015), with the risk of presenting psychotic/manic symptoms being increased by family disturbances (z = +4.118) and school/work difficulties (z = +2.455). The results suggest a potential psychosis-inducing effect of psychosocial stressors in ASD, which has clinical and policy implications.

[Sensory food aversion in the context of a modern approach to eating disorders in early childhood]. / A szenzoros ételelutasítás a kora gyermekkori evészavarok korszeru megközelítésének tükrében.

Sensory food aversion, an early childhood eating disorder, is a serious, permanent form of picky eating, in which the infant or the child consistently and persistently refuses certain foods based on specific characteristics, following one or more previous aversive experiences. Biological (sensory processing disorder, taste sensitivity) and environmental factors contribute to its development. Due to limited diet, specific dietary deficiencies may occur but weight gain is usually normal. Behavioral problems, anxiety disorder, autism spectrum disorder are often associated. Diagnosis can usually be made based on a detailed history, but further assessment may include pediatric examination, nutritionist consultation, and psychologic and occupational therapy assessment. Treatment is based on parent education and support in order to minimize mealtime battles and anxiety and to think together about strategies for expanding the child's diet and to help them to accept new foods. As part of the interdisciplinary team, the pediatrician's role is to monitor appropriate growth and development, exclude dietary deficiencies or prescribe supplementation if necessary. In our article, the screening and treatment of sensory processing disorder as part of the assessment of eating problems are introduced as an example of good clinical practice at the Early Childhood Eating and Sleep Disorder Outpatient Clinic at the Heim Pál National Institute of Pediatrics. Orv Hetil. 2023; 164(45): 1767-1777.

Differences between subclinical attention-deficit/hyperactivity and autistic traits in default mode, salience, and frontoparietal network connectivities in young adult Japanese.

Attention-deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are associated with attentional impairments, with both commonalities and differences in the nature of their attention deficits. This study aimed to investigate the neural correlates of ADHD and ASD traits in healthy individuals, focusing on the functional connectivity (FC) of attention-related large-scale brain networks (LSBNs). The participants were 61 healthy individuals (30 men; age, 21.9 ± 1.9 years). The Adult ADHD Self-Report Scale (ASRS) and Autism Spectrum Quotient (AQ) were administered as indicators of ADHD and ASD traits, respectively. Performance in the continuous performance test (CPT) was used as a behavioural measure of sustained attentional function. Functional magnetic resonance imaging scans were performed during the resting state (Rest) and auditory oddball task (Odd). Considering the critical role in attention processing, we focused our analyses on the default mode (DMN), frontoparietal (FPN), and salience (SN) networks. Region of interest (ROI)-to-ROI analyses (false discovery rate < 0.05) were performed to determine relationships between psychological measures with within-network FC (DMN, FPN, and SN) as well as with between-network FC (DMN-FPN, DMN-SN, and FPN-SN). ASRS scores, but not AQ scores, were correlated with less frequent commission errors and shorter reaction times in the CPT. During Odd, significant positive correlations with ASRS were demonstrated in multiple FCs within DMN, while significant positive correlations with AQ were demonstrated in multiple FCs within FPN. AQs were negatively correlated with FPN-SN FCs. During Rest, AQs were negatively and positively correlated with one FC within the SN and multiple FCs between the DMN and SN, respectively. These findings of the ROI-to-ROI analysis were only partially replicated in a split-half replication analysis, a replication analysis with open-access data sets, and a replication analysis with a structure-based atlas. The better CPT performance by individuals with subclinical ADHD traits suggests positive effects of these traits on sustained attention. Differential associations between LSBN FCs and ASD/ADHD traits corroborate the notion of differences in sustained and selective attention between clinical ADHD and ASD.

[Health simulation, access to somatic care for people with ASD]. / Simulation en santé et accès aux soins somatiques des personnes présentant un TSA.

The clinical characteristics of people with autism spectrum disorders can make it difficult for them to access care, including treatment and medical imaging examinations. Simulation-based learning can facilitate the performance of a CT scan, as in the case of Irène, who was able to adopt the expected body positions thanks to this intervention.

Lack of HCAR1, the lactate GPCR, signaling promotes autistic-like behavior.

The GPCR HCAR1 is known to be the sole receptor for lactate, which modulates its metabolic effects. Despite its significant role in many processes, mice deficient in HCAR1 exhibit no visible phenotype and are healthy and fertile. We performed transcriptomic analysis on HCAR1 deficient cells, in combination with lactate, to explore pathophysiologically altered processes. Processes such as immune regulation, various cancers, and neurodegenerative diseases were significantly enriched for HCAR1 transcriptomic signature. However, the most affected process of all was autism spectrum disorder. We performed behavioral tests on HCAR1 KO mice and observed that these mice manifest autistic-like behavior. Our data opens new avenues for research on HCAR1 and lactate effect at a pathological level. Video Abstract.