1. Galiano AR, Mekomedemb F, Helmlinger AE, Baudouin JY. Autistic-like social communication disorders and sensory profile in visually impaired children: Similarity and divergence with autism spectrum disorders. Acta Psychol (Amst). 2024; 250: 104544.

This study examined the sensory profile of three groups of children (those with visual impairment, typical development or autism spectrum disorder) aged 3 to 12. The principal aim was to find out whether the Sensory Profile (SP) of children with visual impairment was a good predictor of behaviors typical of ASD. The data was collected through a sensory profile filled out by parents of 37 visually impaired children, 30 with autism spectrum disorder (ASD) and 42 with typical development (TD). To assess the risk of ASD, the Social Communication Questionnaire (SCQ) was also administered. The results indicate that children with visual impairment are at increased risk of exhibiting signs of ASD, and that the sensory profile is a good predictor of risk of autistic signs in children with visual impairment. This study provides for the first time strong evidence for the need to systematically assess the sensory profile in children with visual impairment.

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2. Li SN, Chien WT, Lam SKK, Chong YY, Gloster AT. Psychometric Properties of the Chinese Version of the Psy-Flex Among Parents of Children with Autism Spectrum Disorder. J Autism Dev Disord. 2024.

This research aimed to translate the original English version of the Psy-Flex, a scale of psychological flexibility, into Chinese and to test its psychometric properties among parents of children with autism spectrum disorder (ASD). Two phases were conducted: (1) translation from English to Chinese (Psy-Flex-C), followed by a semantic equivalence evaluation between two versions, a pre-test, and an evaluation of the Psy-Flex-C in terms of face validity with 20 parents of autistic children, and content validity of the Psy-Flex-C with eight experts. (2) A cross-sectional study with 248 parents of autistic children was conducted for validation, and a subgroup of 50 participants was randomly selected to assess the test-retest reliability at a 2-week interval. The Psy-Flex-C showed satisfactory semantic equivalence with the original version and demonstrated adequate internal consistency (Cronbach’s α = 0.84) and test-retest stability (weighted kappa statistic = 0.88). Concurrent validity was supported by a moderate correlation between the Psy-Flex-C and the Comprehensive Assessment of Acceptance and Commitment Therapy Processes (Pearson’s r = 0.54, p < 0.01). The Psy-Flex-C showed a significant mean score difference between parents with high and low parenting stress (t = 5.43, p < 0.001). Similar to the original scale, confirmatory factor analysis showed the best fitting one-factor structure of the Psy-Flex-C (X(2)/df = 1.62, p = 0.13, RMSEA = 0.05, GFI = 0.99, CFI = 0.99, TLI = 0.98, SRMR = 0.023). The Psy-Flex-C can be a reliable and valid instrument to self-report psychological flexibility in parents of children with ASD. Future research is recommended to test the Psy-Flex-C using diverse samples from different cultures and contexts to enhance its generalizability.

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3. Palanivelu L, Chen YY, Chang CJ, Liang YW, Tseng HY, Li SJ, Chang CW, Lo YC. Investigating brain-gut microbiota dynamics and inflammatory processes in an autistic-like rat model using MRI biomarkers during childhood and adolescence. Neuroimage. 2024; 302: 120899.

Autism spectrum disorder (ASD) is characterized by social interaction deficits and repetitive behaviors. Recent research has linked that gut dysbiosis may contribute to ASD-like behaviors. However, the exact developmental time point at which gut microbiota alterations affect brain function and behavior in patients with ASD remains unclear. We hypothesized that ASD-related brain microstructural changes and gut dysbiosis induce metabolic dysregulation and proinflammatory responses, which collectively contribute to the social behavioral deficits observed in early childhood. We used an autistic-like rat model that was generated via prenatal valproic acid exposure. We analyzed brain microstructural changes using diffusion tensor imaging (DTI) and examined microbiota, blood, and fecal samples for inflammation biomarkers. The ASD model rats exhibited significant brain microstructural changes in the anterior cingulate cortex, hippocampus, striatum, and thalamus; reduced microbiota diversity (Prevotellaceae and Peptostreptococcaceae); and altered metabolic signatures. The shift in microbiota diversity and density observed at postnatal day (PND) 35, which is a critical developmental period, underscored the importance of early ASD interventions. We identified a unique metabolic signature in the ASD model, with elevated formate and reduced acetate and butyrate levels, indicating a dysregulation in short-chain fatty acid (SCFA) metabolism. Furthermore, increased astrocytic and microglial activation and elevated proinflammatory cytokines-interleukin-1 beta (IL-1β), interleukin-6 (IL-6), interferon-gamma (IFN-γ), and tumor necrosis factor-alpha (TNF-α)-were observed, indicating immune dysregulation. This study provided insights into the complex interplay between the brain and the gut, and indicated DTI metrics as potential imaging-based biomarkers in ASD, thus emphasizing the need for early childhood interventions.

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4. Pirník Z, Szadvári I, Borbélyová V, Tomova A. Altered sex differences related to food intake, hedonic preference, and FosB/deltaFosB expression within central neural circuit involved in homeostatic and hedonic food intake regulation in Shank3B mouse model of autism spectrum disorder. Neurochem Int. 2024; 181: 105895.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder accompanied by narrow interests, difficulties in communication and social interaction, and repetitive behavior. In addition, ASD is frequently associated with eating and feeding problems. Although the symptoms of ASD are more likely to be observed in boys, the prevalence of eating disorders is more common in females. The ingestive behavior is regulated by the integrative system of the brain, which involves both homeostatic and hedonic neural circuits. Sex differences in the physiology of food intake depend on sex hormones regulating the expression of the ASD-associated Shank genes. Shank3 mutation leads to ASD-like traits and Shank3B -/- mice have been established as an animal model to study the neurobiology of ASD. Therefore, the long-lasting neuronal activity in the central neural circuit related to the homeostatic and hedonic regulation of food intake was evaluated in both sexes of Shank3B mice, followed by the evaluation of the food intake and preference. In the Shank3B +/+ genotype, well-preserved relationships in the tonic activity within the homeostatic neural network together with the relationships between ingestion and hedonic preference were observed in males but were reduced in females. These interrelations were partially or completely lost in the mice with the Shank3B -/- genotype. A decreased hedonic preference for the sweet taste but increased total food intake was found in the Shank3B -/- mice. In the Shank3B -/- group, there were altered sex differences related to the amount of tonic cell activity in the hedonic and homeostatic neural networks, together with altered sex differences in sweet and sweet-fat solution intake. Furthermore, the Shank3B -/- females exhibited an increased intake and preference for cheese compared to the Shank3B +/+ ones. The obtained data indicate altered functional crosstalk between the central homeostatic and hedonic neural circuits involved in the regulation of food intake in ASD.

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5. Rausch J, Fangmeier T, Falter-Wagner CM, Ackermann H, Espelöer J, Hölzel LP, Riedel A, Ritvo A, Vogeley K, van Elst LT. A novel screening instrument for the assessment of autism in German language: validation of the German version of the RAADS-R, the RADS-R. Eur Arch Psychiatry Clin Neurosci. 2024.

The Ritvo Autism Asperger Diagnostic Scale-Revised (RAADS-R) demonstrated excellent results in its original study, with a sensitivity of 97% and a specificity of 100% (Ritvo et al. in J Autism Dev Disord 41:1076-1089, 2011). As a result, it was included in the National Institute for Health and Care Excellence (NICE) guidelines (Recommendations | Autism spectrum disorder in adults: diagnosis and management | Guidance | NICE, 2022). The questionnaire includes 80 questions across four subcategories (language, social relatedness, circumscribed interests, sensory motor). So far, the subcategory sensory motor has not been addressed in most available instruments, despite being part of the diagnostic criteria specified in DSM-5 (Falkai et al., in Diagnostisches Und Statistisches Manual Psychischer Störungen DSM-5. Hogrefe, 2015) and ICD-11 (ICD-11 for Mortality and Morbidity Statistics, 2022). In our validation study, we tested a translated German version of the questionnaire in 299 individuals (110 persons with ASD according to ICD-10 F84.0, F84.5, 64 persons with an primary mental disorders (PMD), 125 persons with no disorders). To enhance the practical use of the instrument in clinical everyday practice, the questionnaire was completed by the participants without the presence of a clinician-unlike the original study. Psychiatric diagnoses were established following the highest standards, and psychometric properties were calculated using established protocols. The German version of the RADS-R yielded very good results, with a high sensitivity of 92.5% and a high specificity of 93.6%. The area under the curve (AUC = 0.976), indicates a high quality and discriminatory power of RADS-R. Furthermore, the ROC curve analysis showed that the optimal threshold to distinguish between the ASD and non-ASD groups in the German version of the RAADS-R is a score of 81. In comparison to the RADS-R, the co-administered instruments Social Responsiveness Scale (SRS), Autism Spectrum Quotient (AQ), and Empathy Quotient (EQ) each showed slightly better specificity but worse sensitivity in this sample.The study included individuals already diagnosed with ASD according to ICD-10 (F84.0, F84.5), with or without an primary mental disorders, preventing us from identifying the influence of comorbidities on the RADS-R results. In addition, a self-report questionnaire has generally only limited objectivity and may allow for false representation of the symptoms. The RADS-R compares well with other questionnaires and can provide valuable additional information. It could turn out to be a helpful diagnostic tool for patients in Germany. We propose naming the German version RADS-R (Ritvo Autism Diagnostic Scale – rRevised) to reflect the change in terminology.

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6. Vlasceanu AM, de la Rosa S, Barraclough NE. Perceptual discrimination of action formidableness and friendliness and the impact of autistic traits. Sci Rep. 2024; 14(1): 25554.

The ability to determine whether the actions of other individuals are friendly or formidable are key decisions we need to make to successfully navigate our complex social environment. In this study we measured perceptual performance when discriminating actions that vary in their friendliness or formidableness, and whether performance was related to the autistic traits of individuals. To do this, we developed an action morphing method to generate novel actions that lied along the action quality dimensions of formidableness and friendliness. In Experiment 1 we show that actions that vary along the formidableness or friendliness continua were rated as varying monotonically along the respective quality. In Experiment 2 we measured the ability of individuals with different levels of autistic traits to discriminate action formidableness and friendliness using adaptive 2-AFC procedures. We found considerable variation in perceptual thresholds when discriminating action formidableness (~ 540% interindividual variation) or friendliness (~ 1100% interindividual variation). Importantly, we found no evidence that autistic traits influenced perceptual discrimination of these action qualities. These results confirm that sensory enhancements with autistic traits are limited to lower level stimuli, and suggest that the perceptual processing of these complex social signals are not affected by autistic traits.

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