Music therapy as social skill intervention for children with comorbid ASD and ID: study protocol for a randomized controlled trial

Interventions through Art Therapy and Music Therapy in Autism Spectrum Disorder, ADHD, Language Disorders, and Learning Disabilities in Pediatric-Aged Children: A Systematic Review

Traditional pharmacological treatments, although effective, often carry potential side effects, which positions art therapy and music therapy as promising non-pharmacological alternatives to alleviate symptoms and improve social, cognitive, and emotional skills without the associated risks. Through a review in the SCOPUS and WOS databases following the PRISMA protocol, a total of 80 articles were analyzed through a series of determined categories and subcategories of analysis. The aim of this study is to evaluate and synthesize the existing evidence on the efficacy and applicability of art therapy and music therapy in the treatment of children with autism spectrum disorder (ASD), hyperactivity disorder (HSDD), developmental language disorders, and language learning difficulties, identifying best practices and key areas for future research. Among the main findings is that art therapy and music therapy have a significant impact on symptomatology, behavior, and communication as well as social, cognitive, and emotional skills in the pediatric populations studied. These therapies are highly valued by the participants with a large majority recognizing their adaptability to different educational and clinical contexts. It is concluded that these therapies have a high potential as viable alternatives or complements to traditional pharmacological treatments, justifying their application and further study in broader therapeutic contexts.

The clinical effects of Orff music therapy on children with autism spectrum disorder: a comprehensive evaluation

Objective

This study aimed to investigate the clinical effects of Orff music therapy on children with Autism Spectrum Disorder (ASD) from the perspectives of parents, evaluators, and therapists.

Methods

93 children with ASD aged 3-6 years participated in the study. They were divided into an observation group (n = 48) receiving comprehensive rehabilitation intervention including Orff music therapy, and a control group (n = 45) receiving only comprehensive rehabilitation intervention. The Autism Behavior Checklist (ABC), Childhood Autism Rating Scale (CARS), and Psycho-educational Profile-3rd edition (PEP-3) were used for assessments before and after the intervention.

Results

There were no significant demographic differences between the two groups. Both groups showed significant improvements in Sensory, Relating, Language, CVP, EL, RL, VMI, AE, SR, and CARS scores at T1, T2, and T3 (T1 vs. T2, T2 vs. T3, T1 vs. T3) (all p < 0.05). The observation group demonstrated significant changes in Body and Object use and FM, while the control group showed some changes in these domains. Social and self-help, GM, CMB, and CVB also significantly improved in both groups after 6 months of intervention (all p < 0.05). In terms of different time intervals, the observation group showed greater improvements in Sensory, Relating, Language, CARS scores, EL, RL, and SR compared to the control group (all p < 0.05). The improvement levels in Body and Object use, CVP, FM, VMI, and AE did not differ significantly between the two groups in the T1-T2 interval, but were significantly higher in the observation group in the T2-T3 and T1-T3 intervals (all p < 0.05). The magnitude of changes in Social and self-help, GM, CMB, and CVB did not differ significantly between the groups.

Conclusion

Orff music therapy showed significant improvements in language expression, language comprehension, social skills, cognitive abilities, imitation abilities, emotional expression and fine motor in children with ASD. These findings provide support for the use of Orff music therapy as an effective intervention for children with ASD.

The effect of music therapy on language communication and social skills in children with autism spectrum disorder: a systematic review and meta-analysis

Background

Studies have shown that music therapy can be used as a therapeutic aid for clinical disorders. To evaluate the effects of music therapy (MT) on language communication and social skills in children with autism spectrum disorder (ASD), a meta-analysis was performed on eligible studies in this field.

Methods

A systematic search was conducted in eight databases: PubMed, Embase, Web of Science, Cochrane Library databases, the China National Knowledge Infrastructure (CNKI), Wanfang Data, the Chinese Biomedical Literature (CBM) Database, and the VIP Chinese Science and Technology Periodicals Database. The standard mean difference (SMD) values were used to evaluate outcomes, and the pooled proportions and SMD with their 95% confidence intervals (CIs) were also calculated.

Results

Eighteen randomized controlled trial (RCT) studies were included, with a total of 1,457 children with ASD. This meta-analysis revealed that music therapy improved their language communication [SMD = -1.20; 95%CI -1.45, -0.94; χ2 (17) = 84.17, I2 = 80%, p < 0.001] and social skills [SMD = -1. 13; 95%CI -1.49, -0.78; χ2 (17) = 162.53, I2 = 90%, p < 0.001]. In addition, behavior [SMD = -1.92; 94%CI -2.56, -1.28; χ2 (13) = 235.08, I2 = 95%, p < 0.001], sensory perception [SMD = -1.62; 95%CI -2.17, -1.08; χ2 (16) = 303.80, I2 = 95%, p < 0.001], self-help [SMD = -2. 14; 95%CI -3.17, -1.10; χ2 (6) = 173.07, I2 = 97%, p < 0.001] were all improved.

Conclusion

Music therapy has a positive effect on the improvement of symptoms in children with ASD.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/.

A machine learning-based diagnostic model for children with autism spectrum disorders complicated with intellectual disability

Background

Early detection of children with autism spectrum disorder (ASD) and comorbid intellectual disability (ID) can help in individualized intervention. Appropriate assessment and diagnostic tools are lacking in primary care. This study aims to explore the applicability of machine learning (ML) methods in diagnosing ASD comorbid ID compared with traditional regression models.

Method

From January 2017 to December 2021, 241 children with ASD, with an average age of 6.41 ± 1.96, diagnosed in the Developmental Behavior Department of the Children's Hospital Affiliated with the Medical College of Zhejiang University were included in the analysis. This study trained the traditional diagnostic models of Logistic regression (LR), Support Vector Machine (SVM), and two ensemble learning algorithms [Random Forest (RF) and XGBoost]. Socio-demographic and behavioral observation data were used to distinguish whether autistic children had combined ID. The hyperparameters adjustment uses grid search and 10-fold validation. The Boruta method is used to select variables. The model's performance was evaluated using discrimination, calibration, and decision curve analysis (DCA).

Result

Among 241 autistic children, 98 (40.66%) were ASD comorbid ID. The four diagnostic models can better distinguish whether autistic children are complicated with ID, and the accuracy of SVM is the highest (0.836); SVM and XGBoost have better accuracy (0.800, 0.838); LR has the best sensitivity (0.939), followed by SVM (0.952). Regarding specificity, SVM, RF, and XGBoost performed significantly higher than LR (0.355). The AUC of ML (SVM, 0.835 [95% CI: 0.747-0.944]; RF, 0.829 [95% CI: 0.738-0.920]; XGBoost, 0.845 [95% CI: 0.734-0.937]) is not different from traditional LR (0.858 [95% CI: 0.770-0.944]). Only SVM observed a good calibration degree. Regarding DCA, LR, and SVM have higher benefits in a wider threshold range.

Conclusion

Compared to the traditional regression model, ML model based on socio-demographic and behavioral observation data, especially SVM, has a better ability to distinguish whether autistic children are combined with ID.

Effect of interactive video-based instruction on learning performance in relation to social skills of children with intellectual disability

Interactive video-based instruction (IVBI) session was organized in day-care rehabilitation settings to provide training in acquiring new skills related to social skills development for targeted moderate intellectual disability (MID) population. The main objective is to inter-relate the effect of individual and collaborative interactive video-based instruction on social skills development for experimental group children with those in the comparison group. A quasi-experimental design was conducted on (n = 99, comprising 56 males and 43 females) students with MID from selected three rehabilitation centres of Guwahati, Assam, India. The mean and standard deviation of individual interactive video-based instruction (IIVBI) and collaborative interactive video-based instruction (CIVBI) was better than the conventional group. The ANCOVA result shows a significant effect of IIVBI and CIVBI in the improvement of social skills over conventional approach on students after controlling the effect of the pre-test. The interactive session in both the experimental group allowed the students to create their own space for learning social skills via different activities using IVBI. The researchers concludes that regular practice of various activities through video sessions can help children with intellectual disability to overcome minor obstacles by themselves without any additional service.