1. Al-Adhaileh MH, Alsubari SNM, Al-Nefaie AH, Ahmad S, Alhamadi AA. Diagnosing autism spectrum disorder based on eye tracking technology using deep learning models. Front Med (Lausanne);2025;12:1690177.

INTRODUCTION: Children with Autism Spectrum Disorder (ASD) often find it difficult to maintain eye contact, which is vital for social communication. Eye tracking (ET) technology helps determine how long children with ASD focus on someone, how frequently they do so, and in which direction their gaze moves. ET provides insights into social attention by enabling precise, real-time tracking of gaze patterns as individuals process social information visually. It is a dependable method for identifying and developing social attentional biomarkers, particularly in challenging conditions like ASD. OBJECTIVE: This study aims to implement deep learning (DL) algorithms using eye-tracking data from social attention tasks involving children with ASD. METHODS: The approach was tested using standard datasets collected from individuals with and without ASD through eye-tracking technology. Convolutional neural networks (CNNs) and long short-term memory (LSTM) models were used to analyze data from children with ASD. Data preprocessing techniques addressed missing data and converted categorical features into numerical values. Mutual information-based feature selection was employed to reduce the feature set by identifying the most relevant features, thereby improving system performance. These features were then analyzed using LSTM and CNN-LSTM models to evaluate their potential for diagnosing ASD. RESULTS: The experimental results showed that the highest accuracy achieved was 99.78% with the CNN-LSTM model. Furthermore, the findings indicated that the proposed method outperformed previous studies. CONCLUSION: The system successfully diagnosed ASD using the ET dataset. This approach shows promise for clinical application, assisting healthcare professionals in diagnosing ASD more accurately through advanced artificial intelligence technology.

Lien vers le texte intégral (Open Access ou abonnement)

2. Bilu Y, Amit G, Mayer Lapidot K, Gueron-Sela N, Kerber N, Tsadok MA, Sadaka Y. Differentiating Transient From Persistent Developmental Delays in a Nationwide Infant Cohort. JAMA Netw Open;2025 (Oct 1);8(10):e2539441.

IMPORTANCE: Early childhood developmental surveillance is critical for identifying children at risk of developmental delays and ensuring timely intervention. Current well-child surveillance policies are not well designed to distinguish transient delays from persistent ones, potentially leading to unnecessary referrals or missed opportunities for early support. OBJECTIVE: To evaluate whether the Tipat Halav Israeli Surveillance (THIS) developmental scale can be leveraged for distinguishing transient from persistent developmental delays and thus augment the precision of early childhood surveillance policies. DESIGN, SETTING, AND PARTICIPANTS: This retrospective cohort study used national data from maternal child health clinics in Israel that perform routine developmental surveillance of children aged 0 to 6 years, serving approximately 65% of Israeli children. Participants were individuals born at 37 weeks’ gestation or later in the years 2014 to 2022 and assessed between January 1, 2014, and December 31, 2022, who failed to attain at least 1 developmental milestone between age 9 and 12 months based on their electronic health records. Analysis was done between July 2024 and April 2025. EXPOSURE: Age-appropriate milestone attainment results at ages 9 to 12 months, along with demographic and birth-related covariates. MAIN OUTCOME AND MEASURES: The primary outcome was ongoing milestone attainment failure at age 12 to 24 months. Accuracy of machine learning models trained to predict the outcome was measured by the area under the receiver operating characteristic curve, while for simpler decision rules, sensitivity and specificity were computed. RESULTS: In a cohort of 529 797 infants born at 37 weeks’ gestation or later and assessed at age 9 to 12 months, developmental delays were observed in 37 760 (7.1%), among whom 20 862 (55.2%) were male and median gestational age was 39 weeks (IQR, 38-40 weeks). A total of 35 163 (93.1%) were assessed again in their subsequent year of life, among whom persistent delay was suggested for 8802 (25.0%). Machine learning models distinguished transient from persistent delays, with areas under the receiver operating characteristic curve ranging from 0.71 (95% CI, 0.70-0.72) to 0.77 (95% CI, 0.74-0.79). Simply counting the number of developmental domains in which unmet milestones occurred showed good fidelity as well (eg, sensitivity of 0.48 and specificity of 0.81 to identify persistent gross motor delay after early milestone failure in that domain plus 1 other). CONCLUSIONS AND RELEVANCE: This cohort study of infants showing early signs of developmental delay suggests that transient delays can be effectively distinguished from persistent ones using routine well-child surveillance data and also provides evidence for the validity of counting domains in which milestones are not attained, which is often used in practice. This suggests an accessible approach for developmental surveillance that may improve outcomes for children worldwide.

Lien vers le texte intégral (Open Access ou abonnement)

3. Chatzis KD, Tretiakov P, Passias PG. Implementation of artificial intelligence (AI) in ASD treatment. N Am Spine Soc J;2025 (Dec);24:100787.

BACKGROUND: Adult spinal deformity (ASD) surgery remains one of the most complex and complication-prone areas of spine care, with significant variability in outcomes and high complication rates. Recent advances in artificial intelligence (AI) have shown to be promising tools to address these challenges by improving planning, prediction, and personalization. This narrative review explores the role of AI across the surgical workflow for ASD, from preoperative decision-making to intraoperative execution and postoperative care. METHODS: We conducted a comprehensive narrative review of current literature and technologies related to AI in ASD surgery. Focus areas included evidence synthesis, predictive analytics, automated radiographic assessment, intraoperative navigation, patient-specific implants, and digital patient engagement. We also present a representative case example of AI-assisted deformity correction to illustrate practical clinical application. RESULTS: AI tools have demonstrated strong potential in improving accuracy and efficiency across various domains. Machine learning algorithms outperform traditional statistical models in predicting complications, length of stay, and functional outcomes. Automated radiographic platforms reliably reproduce spinal alignment measurements and support surgical planning. Personalized instrumentation has been associated with improved alignment fidelity. Lastly, Intraoperative AR/VR platforms and AI-enhanced robotics are helping to standardize execution and reduce variability. CONCLUSIONS: AI is redefining the landscape of ASD surgery through its ability to enhance decision-making, reduce variability, and enable personalized, data-driven care. While widespread adoption requires ongoing validation and integration, current evidence supports the clinical utility of AI-assisted strategies in improving alignment outcomes and surgical safety. This review highlights the growing potential of AI to serve as a cornerstone of precision spine surgery.

Lien vers le texte intégral (Open Access ou abonnement)

4. Gros P, Ganos C, Marras C. Autism and Parkinsonism-Terminology and Confounding. JAMA Neurol;2025 (Oct 27)

Lien vers le texte intégral (Open Access ou abonnement)

5. Huang PW, Liang SC, Sun CK, Cheng YS, Hung KC. A Meta-analysis of Randomized Placebo-controlled Trials on the Effects of Probiotics for Autism Spectrum Disorders. Clin Psychopharmacol Neurosci;2025 (Nov 30);23(4):560-571.

OBJECTIVE: The current meta-analysis aimed at updating evidence regarding the therapeutic potential of probiotics against autism spectrum disorder (ASD) symptoms and identifying outcome confounders. METHODS: Following PRISMA guidelines, randomized placebo-controlled trials retrieved from PubMed, Embase, Cochrane CENTRAL, and ScienceDirect were analyzed for effect size of primary outcomes (i.e., overall behavioral symptom changes) expressed as standardized mean difference (SMD) and odds ratios (ORs) for continuous and categorical variables, respectively, with 95% confidence interval (CI). RESULTS: Meta-analysis of eight studies (465 participants, mean age: 6.03, range: 1.5-45, female: 17.4%) revealed total ASD symptom improvements in the probiotic group compared to placebos (SMD: -0.19, 95% CI: -0.38 to -0.01, p = 0.04, I(2) = 0%, eight studies, 465 participants, certainty of evidence [COE]: low). Subgroup analyses showed probiotics-associated improvements only in studies recruiting predominantly preschool children (SMD: -0.30, 95% CI: -0.59 to -0.01, p = 0.04, three studies, 191 participants) or those using probiotics for over three months (SMD: -0.39, 95% CI: -0.73 to -0.06, p = 0.04, three studies, 144 participants) without difference between multiple-and single-strain probiotics. No difference was noted in overall dropouts between individuals treated with probiotics and those taking placebos (OR: 0.98, p = 0.94, eight studies, I(2) = 0%, 464 participants, COE: low). Despite a low risk of bias in most studies, COE was deemed low from limited trials and inconsistencies on sensitivity analysis. CONCLUSION: The current study showed an association between probiotics use and an improvement in ASD symptoms, mainly in those aged below six or over three-month treatments. More large-scale investigations are warranted to support our findings.

Lien vers le texte intégral (Open Access ou abonnement)

6. Kahn BS, Ward K, Ivanov N, Goodman MB. A Case of Navigating Autism and Atypical Rashes in Dermatology Practice. Case Rep Dermatol Med;2025;2025:2338787.

A 4-year-old nonverbal autistic female presented to the clinic with a 3-month history of a persistent, inflamed papular rash, which was violaceous to skin-toned, verrucous, and dome-shaped with crateriform ulcerations on an erythematous base localized in the perianal region. A dermatologic condition with these characteristics, location, and demographic warrants a thorough workup, physical exam, and broad differential diagnosis. The clinical appearance of these lesions can mimic many cutaneous conditions in this age group and requires careful attention for potential signs of abuse. As demonstrated in our case, with a comprehensive patient history, a biopsy, and a culture of the lesions, one can properly direct management of what looked like a broad complex differential to something more benign and underappreciated. When seeing and performing skin check screenings on particular vulnerable patient populations, such as those with autism, educating these patients and their parents is a very important aspect of management. Narrowing the condition down, we reached a diagnosis of pseudoverrucous papules and nodules, a skin rash rarely discovered in children but detected in elderly patients who are debilitated and bedridden with urinary and/or fecal incontinence. This complex case illustrates the importance of proper patient care in patients with autism and considering the entire clinical context before making a diagnosis or conclusion, specifically in vulnerable youth.

Lien vers le texte intégral (Open Access ou abonnement)

7. Kern A, Román V, Orbán TI, Pál I, Nagy J, Lévay G, Lendvai B, Némethy Z. Analysis of neuronal activity impairment in iPSC-derived neurons from idiopathic autism patients. iScience;2025 (Oct 17);28(10):113615.

Understanding the molecular mechanisms underlying autism spectrum disorder (ASD) is crucial to develop effective interventions. Here, we utilized induced pluripotent stem cells differentiated into neurons (iPSC-Ns) from idiopathic ASD and control individuals (CTRL) to investigate the molecular basis of ASD. ASD-iPSC-Ns exhibited functional alterations displaying less calcium transients compared to CTRL. Different expression levels of microRNAs involved in neurogenesis and neuronal functioning might underlie these differences. ASD-iPSC-N neuronal networks showed impaired synaptic neurotransmission and connectivity (decreased [Ca(2+)](i) waves and glutamatergic transmission), as demonstrated by a chemogenetic approach utilizing designer receptor exclusively activated by designer drug (DREADD) in co-cultures of iPSC-Ns and rat cortical neurons. Such functional alterations have profound implications for neuronal network formation and function, contributing to the core pathogenic features of ASD. Therefore, utilization of ASD-iPSC-Ns offers a unique opportunity to study the molecular mechanism in a relevant human cellular context. Our findings highlight the significance of neuronal activity and synaptic dysfunction in ASD pathogenesis.

Lien vers le texte intégral (Open Access ou abonnement)

8. Le Donne I, Mazza M, Attanasio M, Covone N, Greco MP, Scurti V, Valenti M. Application of Psychometric Methods in Dimensional Analysis and Integration of Assessment Tools in Early Diagnosis for Autism Spectrum Disorder. J Clin Psychol;2025 (Oct 26)

BACKGROUND: Early diagnosis of autism spectrum disorder (ASD) is crucial for timely intervention, and requires reliable and valid screening and diagnostic tools. The Toddler Module of the Autism Diagnostic Observation Schedule, Second Edition (ADOS-2), is widely used but its factor structure and applicability in the clinical practice need further investigation. OBJECTIVE: This study aimed to explore the underlying dimensional structure of the ADOS-2 Toddler Module in Italian context, and to examine the association between the identified ASD symptom dimensions and cognitive development, as measured by the Griffiths Mental Development Scales (GMDS). METHODS: The study was conducted in two phases: in Phase 1, Exploratory Graph Analysis (EGA) was used to identify latent dimensions of the ADOS-2 Toddler Module items in a sample of 91 Italian children aged 12-30 months at risk for ASD. In Phase 2, structural equation modeling (SEM) was performed on a subsample of 60 children who completed the GMDS to examine associations between ASD symptom dimensions and cognitive development. RESULTS: EGA revealed a stable three-factor structure underlying the Toddler Module items. The SEM analysis demonstrated a good model fit and significant associations between ASD symptom dimensions and the Personal-Social subscale of the GMDS. CONCLUSIONS: These findings provide preliminary evidence for a three-dimensional structure of ASD symptoms in very young children and suggest that cognitive development, particularly social-personal skills, is related to early ASD symptomatology. The results have potential implications for refining early diagnostic assessments and guiding clinical practice.

Lien vers le texte intégral (Open Access ou abonnement)

9. Rashid N, Ruetsch C, LaFrance EM, Darer JD. Prevalence, severity, frequency and healthcare resource use of epilepsy among individuals with Rett Syndrome: analysis of data from a Rett Center of Excellence. Front Neurol;2025;16:1634105.

BACKGROUND: Individuals with Rett Syndrome (RTT) frequently experience comorbid epilepsy. Few studies have examined the impact of epilepsy healthcare utilization using real-world datasets among RTT. The objective of this study was to examine all-cause and epilepsy-related healthcare utilization among individuals with RTT using electronic health record (EHR) data and chart notes. METHODS: A retrospective comparative cohort analysis was performed among RTT individuals with and without epilepsy using EHR structured and abstracted clinical notes data. Epilepsy cases were stratified into severe (associated with prolonged or intractable seizures) and non-severe. RTT individuals with no epilepsy, non-severe epilepsy, and severe epilepsy were compared on seizure frequency and healthcare utilization. RESULTS: In this analysis, 98 individuals with RTT were included: 71 (72%) had epilepsy of which 33 (46%) had severe epilepsy. Individuals with severe epilepsy (n = 33) vs. non-severe epilepsy [experienced daily seizures (53.8% vs. 11.1%), weekly (23.1% vs. 14.8%), or monthly (23.1% vs. 22.2%)], respectively; however, more than half (51.9%) experienced no seizures among the non-severe group. The prevalence of ED visits was significantly higher among those with severe epilepsy compared to those with non-severe epilepsy (27% vs. 7%, p < 0.05). Inpatient admissions were significantly more prevalent among those with severe epilepsy vs. non-severe epilepsy (37% vs. 14%, p < 0.05). CONCLUSIONS: Rates of epilepsy among individuals with RTT are at increased risk for healthcare utilization, especially those with severe epilepsy described as prolonged or intractable seizures. Of individuals with epilepsy, up to one-fourth experience daily seizures. It is important to educate health professionals of the high rate of concomitant epilepsy among RTT syndrome and how it can represent a substantial burden to patients and families with RTT. The frequency of seizures is more common among those with severe epilepsy.

Lien vers le texte intégral (Open Access ou abonnement)

10. Sarantaki A, Ghanchi A, Vermeulen J, Barbouni A, Charvalos E, Sousamli A, Anagnostopoulos DK. Maternal and cord blood lipidomics as predictors of autism spectrum disorders: A systematic review. Metabol Open;2025 (Dec);28:100403.

BACKGROUND: Lipid metabolism is integral to neurodevelopment, contributing to neuronal membrane integrity, myelination, and signaling processes. Recent evidence indicates that disruptions in maternal and perinatal lipidomic profiles may be linked to an increased risk of autism spectrum disorders (ASD). To date, no systematic review has synthesized findings from human cohort studies examining lipidomic biomarkers during pregnancy or at birth in relation to subsequent ASD development. METHODS: We systematically searched PubMed/MEDLINE, Embase, Scopus, Web of Science, Google Scholar, PsycINFO, CINAHL, and grey literature sources from inception to September 2025 for studies assessing maternal lipidomics during pregnancy, postpartum lipid profiles, or cord/neonatal lipidomics in relation to ASD diagnoses or autistic traits measured in offspring. Eligible study designs included prospective cohorts and nested case-control studies. Data extraction followed a standardized template, and methodological quality was appraised using the Newcastle-Ottawa Scale (NOS). Findings were synthesized narratively given heterogeneity in biospecimen timing, lipidomic platforms, and outcome measures. The protocol was registered with PROSPERO (CRD420251152074). RESULTS: Nine prospective studies met the inclusion criteria. Maternal lipidomics during pregnancy indicated that lower ω-3 to ω-6 polyunsaturated fatty acid ratios and deficiencies in docosahexaenoic acid were associated with increased autistic traits or ASD with intellectual disability. Postpartum maternal lipid profiles showed that low low-density lipoprotein (LDL) cholesterol predicted greater ASD risk. Cord blood and neonatal lipidomics implicated acylcarnitines, sphingomyelins, and arachidonic acid-derived oxylipins in later ASD symptoms, with some studies demonstrating moderate predictive accuracy (AUROC ranging from 0.71 to 0.85) using machine learning approaches. Overall, recurrent disturbances in fatty acid metabolism, mitochondrial β-oxidation, and inflammatory lipid mediators were observed. CONCLUSIONS: Prospective evidence supports an association between maternal and neonatal lipidomic alterations and ASD risk, suggesting potential early biomarkers. However, heterogeneity across studies and reliance on single-timepoint measures limit comparability. Standardized lipidomic protocols, longitudinal sampling, and replication in diverse cohorts are needed to establish clinical utility and inform prevention strategies.

Lien vers le texte intégral (Open Access ou abonnement)

11. Shakuf V, Ben-David N, Abergil H, Sa’adon Y, Mezler M, Ben-David BM. Emotion through cognition: the role of cognitive limitations in shaping emotional speech identification among adults with intellectual and developmental disabilities. Cogn Emot;2025 (Oct 26):1-18.

Recognising emotions in speech is vital for social interactions. Adults with intellectual disabilities (AwID) often experience difficulties with emotion perception, affecting integration. However, less is known about spoken-emotion processing among AwID. The current research examines whether difficulties stem from a primary impairment in emotional processing associated with intellectual disability (ID) or a secondary impairment due to cognitive limitations associated with ID. Using an AwID-adapted version of the Test for Rating Emotions in Speech (T-RES), we assessed emotion identification in two studies. Study 1 examined spoken-emotion recognition across different levels of ID severity, focusing on lexical (semantic) and prosodic (tone of voice) cues separately. Results indicated that as ID severity increased, emotion recognition declined. Study 2 investigated the effects of task complexity on spoken-emotion perception among adults with mild ID. Findings revealed that while emotion identification was intact in simple (congruent, lexical and prosodic emotional cues match) conditions, performance deteriorated significantly in complex (incongruent, cues mismatch) conditions, suggesting a cognitive load effect. Additionally, unlike typically developed adults, AwID did not show prosodic bias. These findings support the secondary cognitive account, suggesting that spoken-emotion processing difficulties in AwID may stem from broader cognitive limitations, rather than specific impairments in emotional perception.

Lien vers le texte intégral (Open Access ou abonnement)

12. Song X, Hou Y, Lei Z, Zhou S. Multilevel meta-analysis of the effect of exercise intervention on inhibitory control in children with ASD. Front Psychol;2025;16:1632555.

BACKGROUND: Inhibitory control deficits represent a core cognitive challenge for children with Autism Spectrum Disorder (ASD), impacting behavioral regulation, social interaction, and adaptive functioning. Exercise interventions have emerged as promising non-pharmacological approaches for cognitive enhancement, yet their specific effects on inhibitory control in the ASD population remain unclear. This study aimed to systematically evaluate the efficacy of exercise interventions on inhibitory control in children and adolescents with ASD. METHODS: This systematic review and multilevel meta-analysis followed PRISMA guidelines and was prospectively registered (PROSPERO: CRD420251039964). We systematically searched five electronic databases (PubMed, Web of Science, Embase, Cochrane Library, and CNKI) from inception to December 2023. Randomized and quasi-randomized controlled trials evaluating exercise interventions for inhibitory control in ASD populations were included. Study quality was assessed using the Cochrane Risk of Bias Tool (ROB2). Effect sizes were calculated as standardized mean differences (SMDs) and synthesized using a three-level meta-analytic approach to account for dependency among effect sizes. Subgroup analyses and meta-regression explored potential moderators of intervention efficacy. RESULTS: Ten studies comprising 466 participants (229 in intervention groups) met inclusion criteria. Exercise interventions demonstrated significant positive effects on inhibitory control in children with ASD (SMD = 0.66, 95% CI [0.44, 0.88]). Structured exercise interventions showed differential efficacy, with Mini Basketball (SMD = 0.95), Martial Arts (SMD = 0.90), and Bicycle Learning (SMD = 0.86) yielding the largest effects. Meta-regression identified total training duration as a significant positive predictor of intervention efficacy (β = 0.027, p = 0.015), while participant age showed a potential negative association (β = -0.091, p = 0.083), suggesting enhanced effectiveness in younger children. CONCLUSION: This meta-analysis provides robust evidence supporting exercise interventions, particularly structured activities combining physical and cognitive demands, for improving inhibitory control in children with ASD. The findings suggest important clinical implications for intervention design, highlighting the value of adequate intervention duration and early implementation. Future research should address methodological limitations through high-quality trials with standardized protocols and extended follow-up periods. SYSTAMATIC REVIEW: CRD420251039964.

Lien vers le texte intégral (Open Access ou abonnement)

13. Sophia Plank I, Nowak J, Pior A, Falter-Wagner CM. Comparison of face attention bias in adults with ASD, ADHD or comorbid ADHD+ASD. Soc Cogn Affect Neurosci;2025 (Oct 27)

Faces are special for humans. This importance is reflected in increased relative attention to faces, referred to as face attention bias (FAB). This preregistered study investigated FAB transdiagnostically in two neurodevelopmental disorders associated with social symptoms, autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD). We assessed exogenous selective attention to faces using a dot-probe paradigm in adults with ASD, adults with ADHD, adults with both and non-clinical comparison adults. While comparison adults showed FAB as expected, adults with ASD did not. Yet, the between-group difference in FAB was not credible, contrary to our hypothesis. Critically, adults with ADHD but no ASD showed increased FAB, suggesting heightened exogenous selective attention towards faces. This increase was not reflected in oculomotor behaviour, indicating covert attentional mechanisms. Adults with comorbid ASD and ADHD did not show increased FAB. Saccades were produced faster towards face-cued targets across all groups, but no significant interaction with group emerged regarding oculomotor behaviour. These findings unveil an attentional signature in ADHD: a heightened bias for faces possibly connected to social symptoms. Furthermore, they highlight the nuanced and distinct attentional profiles in different neurodevelopmental disorders, underscoring the critical need to understand shared and distinct mechanisms of ASD and ADHD.

Lien vers le texte intégral (Open Access ou abonnement)

14. Tian P, Bai M, Liang Y, Bian B, Liu Z, Zhu X, Jia F, Li D. Associations between vitamin D and brain volume in children with autism spectrum disorder. Pediatr Res;2025 (Oct 26)

BACKGROUND: A deficiency in vitamin D has been associated with neurodevelopmental traits related to autism spectrum disorder (ASD), potentially influencing brain maturation. This study focuses on children aged 24-72 months, a critical window for early neurodevelopment and ASD diagnosis, aiming to explore the impact of vitamin D on brain structure and developmental outcomes. METHODS: A total of 234 children diagnosed with ASD were divided into mild-to-moderate and severe ASD groups based on the Childhood Autism Rating Scale (CARS), and further grouped by serum 25-hydroxyvitamin D (25[OH]D) status as normal, insufficient, or deficient. Voxel-based morphometry (VBM) was used to assess gray matter volume (GMV), and associations with symptom severity and developmental quotients were analyzed. RESULTS: VBM revealed GMV differences across vitamin D subgroups, particularly in frontal and cerebellar regions. These structural differences were linked to variations in symptom severity and developmental functioning. Mediation analysis further showed that certain frontal regions partially accounted for the relationship between vitamin D levels and both clinical and developmental outcomes. CONCLUSION: These findings highlight the potential role of vitamin D in the neurodevelopment of children with ASD and may inform individualized intervention strategies. IMPACT: This study identifies a significant link between vitamin D levels and region-specific gray matter volume in children with autism spectrum disorder (ASD). It demonstrates that these structural differences are associated with both symptom severity and developmental outcomes. Mediation analysis reveals that brain volume in specific frontal regions partially explains the relationship between vitamin D and clinical measures. These findings contribute to a growing understanding of neurodevelopmental mechanisms in ASD and highlight vitamin D as a potential modifiable factor. The results may inform early intervention strategies targeting nutritional status to support brain development in ASD.

Lien vers le texte intégral (Open Access ou abonnement)

15. Wang Y, Hu W, Li X. Social skills interventions for children and adolescents with high-functioning autism spectrum disorder: a narrative review. Transl Pediatr;2025 (Sep 30);14(9):2321-2330.

BACKGROUND AND OBJECTIVE: Deficits in social skills are the major symptoms of high-functioning autism spectrum disorder (HFASD). Recently, various intervention methods targeting social skills of children and adolescents with HFASD have been developed. This study reviews related articles published within the last decade to provide a better understanding of the status and limitations of research in this field. METHODS: The Education Resources Information Center, Psychology and Behavioral Sciences Collection, PsycINFO, PubMed, and Web of Science databases were used to search for peer-reviewed studies published between January 1, 2014 and July 13, 2024. After reasonable deletion exclusion criteria, 39 studies on social skills interventions for children and adolescents with HFASD were summarized. KEY CONTENT AND FINDINGS: Twenty-one intervention methods were examined in 39 studies. Four categories emerged according to the basic theories and implementation procedures of these 21 methods: methods rooted in cognitive behavioral therapy (CBT), naturalistic intervention (NI), art therapy, and miscellaneous methods. Studies on methods based on CBT and NI have provided substantial evidence of the effectiveness of these two categories. Art therapy has also gained some empirical support, but not enough for an adequate conclusion. Miscellaneous methods lack sufficient empirical support, with most implemented without a control group. Moreover, only 10 among the 21 methods used randomized controlled trials, and the sample size of most studies was small. CONCLUSIONS: We recommend methods based on CBT and NI when practitioners and caregivers select intervention methods for children and adolescents with HFASD. Further research with a larger sample size and a more rigorous design is necessary to validate the effectiveness of art therapy and miscellaneous methods.

Lien vers le texte intégral (Open Access ou abonnement)

16. Yin W, Ludvigsson JF, Sandin S. Autism and Parkinsonism-Terminology and Confounding-Reply. JAMA Neurol;2025 (Oct 27)

Lien vers le texte intégral (Open Access ou abonnement)