Pubmed du 25/08/23

Pubmed du jour

1. Al-Nafjan A, Alhakbani N, Alabdulkareem A. Measuring Engagement in Robot-Assisted Therapy for Autistic Children. Behav Sci (Basel);2023 (Jul 25);13(8)

Children with autism face a range of challenges when it comes to verbal and nonverbal communication. It is essential that children participate in a variety of social, educational, and therapeutic activities to acquire knowledge that is essential for cognitive and social development. Recent studies have shown that children with autism may be interested in playing with an interactive robot. The robot can engage these children in ways that demonstrate and train essential aspects of human interaction, guiding them in therapeutic sessions to practice more complex forms of interaction found in social human-to-human interactions. This study sets out to investigate Robot-Assisted Autism Therapy (RAAT) and the use of artificial intelligence (AI) approaches for measuring the engagement of children during therapy sessions. The study population consisted of five native Arabic-speaking autistic children aged between 4 and 11 years old. The child-robot interaction was recorded by the robot camera and later used for analysis to detect engagement. The results show that the proposed system offers some accuracy in measuring the engagement of children with ASD. Our findings revealed that robot-assisted therapy is a promising field of application for intelligent social robots, especially to support autistic children in achieving their therapeutic and educational objectives.

Lien vers le texte intégral (Open Access ou abonnement)

2. And Biomechanics AB. Retracted: The Intervention of Music Therapy on Behavioral Training of High-Functioning Autistic Children under Intelligent Health Monitoring. Appl Bionics Biomech;2023;2023:9765659.

[This retracts the article DOI: 10.1155/2022/5766617.].

Lien vers le texte intégral (Open Access ou abonnement)

3. Doi H, Furui A, Ueda R, Shimatani K, Yamamoto M, Sakurai K, Mori C, Tsuji T. Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old. Sci Rep;2023 (Aug 24);13(1):13869.

Infants make spontaneous movements from the prenatal period. Several studies indicate that an atypical pattern of body motion during infancy could be utilized as an early biomarker of autism spectrum disorders (ASD). However, to date, little is known about whether the body motion pattern in neonates is associated with ASD risk. The present study sought to clarify this point by examining, in a longitudinal design, the link between features of spontaneous movement at about two days after birth and ASD risk evaluated using the Modified Checklist for Autism in Toddlers by their caregivers at 18 months old. The body movement features were quantified by a recently developed markerless system of infant body motion analysis. Logistic regression analysis revealed that ASD risk at 18 months old is associated with the pattern of spontaneous movement at the neonatal stage. Further, logistic regression based on body movement features during sleep shows better performance in classifying high- and low-risk infants than during the awake state. These findings raise the possibility that early signs of ASD risk may emerge at a developmental stage far earlier than previously thought.

Lien vers le texte intégral (Open Access ou abonnement)

4. Esposito G, Marschik PB, Nordahl-Hansen A, Costa AB. Developmental disabilities in low resource contexts. Res Dev Disabil;2023 (Aug 25);140:104589.

Lien vers le texte intégral (Open Access ou abonnement)

5. Hofvander B, Nilsson T, Ståhlberg O, Claesdotter E, Moberg P, Ahlbäck K, Hildebrand Karlén M. Autism Spectrum Disorders in forensic psychiatric investigations-patterns of comorbidity and criminality. Front Psychiatry;2023;14:1168572.

BACKGROUND: There are contradictory research findings regarding whether individuals with Autism Spectrum Disorders (ASDs) are more or less likely to commit crimes. The aims of the current study were to: (1) Describe psychiatric and crime-related characteristics of a large group of offenders with ASD who had undergone a Forensic Psychiatric Investigation (FPI). (2) Identify clinical subgroups among this group of offenders. (3) Investigate associations between the identified clinical subgroups and (a) psychiatric comorbidity (b) types of crimes and (c) criminal responsibility. METHODS: The study cohort consists of all subjects (n = 831) who received an ASD-diagnosis at an FPI between 2002 and 2018 in Sweden. Descriptive and clinical, as well as crime related variables were obtained from the FPIs. Non-parametric (Pearson χ(2), Fisher’s exact and Mann-Whitney U-test) inferential statistics were used for analyses of between-group differences and effect sizes were reported. A Latent Class Analysis was used to identify homogeneous subgroups (or classes) from categorical characteristics. RESULTS: The cohort consisted of 708 men and 123 women, aged 18 to 74 yrs. Two-thirds (66.7%) of the cohort had at least one other psychiatric diagnosis, the most prevalent was substance use disorder (SUD). A severe mental disorder, equivalent to lack of criminal responsibility, was most often reported among offenders with a comorbid diagnosis of schizophrenia spectrum disorder. The most common type of crime was violent crime. Three person-oriented clinical subgroups were identified; (1) ASD with few other diagnoses; (2) ASD and very high levels of SUDs, plus moderate levels of other externalizing disorders and psychotic psychopathology and (3) ASD and moderate to high levels of personality disorders (other than ASPD) and SUDs. CONCLUSION: Our results highlight the importance of all parts of the CJS to be prepared to handle offenders with ASD, often with high levels of additional psychiatric problems. Traditional approaches in treatment or other psychosocial interventions for ASD may need to be adapted to at least three general clinical profiles- one with mainly neurodevelopmental problems, one with a spectrum of externalizing problems and one with complex personality related difficulties.

Lien vers le texte intégral (Open Access ou abonnement)

6. Hou YZ, Shu YP, Wang XM, Zhang Q. Fainting takes the spotlight: A rare case report of Asperger’s syndrome comorbid with major depressive disorder. Asian J Surg;2023 (Aug 25)

Lien vers le texte intégral (Open Access ou abonnement)

7. Huang CY, Chen KS, Lee GY, Lin CH, Chen KL. Different autism measures targeting different severity levels in children with autism spectrum disorder. Eur Arch Psychiatry Clin Neurosci;2023 (Aug 25)

The Childhood Autism Rating Scale™, Second Edition (CARS™-2) and Social Responsiveness Scale™, Second Edition (SRS™-2) are two measures for identifying autism symptoms. The CARS™-2 has two versions: Standard (CARS-ST) and High-Functioning (CARS-HF). To better understand their properties, this study aimed to investigate: (1) the associations among the CARS-ST, CARS-HF and the SRS™-2, and (2) the severity consistency between the CARS-ST and the CARS-HF. A sample of 125 children with autism spectrum disorder was recruited (mean age: 80.98 months, SD = 16.08). Based on Verbal Comprehension Index (VCI), children were divided into two groups: low severity level of autism spectrum disorder (LSL-ASD: VCI ≥ 80) and high severity level of autism spectrum disorder (HSL-ASD: VCI < 80). All children were evaluated with the CARS-ST and the SRS™-2, and the HF group, with the CARS-HF as well. In the LSL group, the CARS-ST and the CARS-HF had high correlation (r = 0.852, p < .001). Both versions had small to moderate correlations with the SRS™-2 (r = 0.130-0.491). In the HSL group, no significant correlations were found between the CARS-ST and SRS™-2 (p > .05). The CARS-HF and the CARS-ST had low severity consistency (Kappa = 0.376, p < .01). The CARS-ST and the CARS-HF had high correlations but low severity consistency. Different correlation patterns were found between the CARS™-2 and the SRS™-2 in the LSL and HSL groups. The results should help clinicians better understand the properties of the measures and choose appropriate measures when assessing autism symptoms.

Lien vers le texte intégral (Open Access ou abonnement)

8. International OT. Retracted: Sensory Integration Training and Social Sports Games Integrated Intervention for the Occupational Therapy of Children with Autism. Occup Ther Int;2023;2023:9823565.

[This retracts the article DOI: 10.1155/2022/9693648.].

Lien vers le texte intégral (Open Access ou abonnement)

9. Kahveci G, Güneyli A. Examining Conjoint Behavioral Consultation to Support 2e-Autism Spectrum Disorder and Gifted Students in Preschool with Academic and Behavior Concerns. Behav Sci (Basel);2023 (Aug 11);13(8)

Conjoint behavioral consultation (CBC), as adjusted for 2e children with academic and behavioral difficulties, was the focus of this single-subject design study. Three young children from a preschool participated, together with their parents and teachers. Academic enablers for students-intervention, maintenance, and generalization phases; academic and behavioral competencies-intervention, maintenance, and generalization phases; and teachers’, parents’, and students’ perceptions of the intervention’s social validity data were collected among the outcome measures. Findings from multiple participant-related probes pointed to constructive improvements in the phases of intervention, maintenance for listening behavior, and improved on-task skill in intervention, maintenance, and generalization. Additionally, during the consultation, parents and teachers noted improvements in the outcomes of the target behavior such as rhythm keeping, picture-word matching, writing the pictured concept in Turkish, writing the pictured concept in English, short personal story writing, short personal story telling, and verbal math problem solving, and each stakeholder gave the intervention a grade for its social validity. Limitations, potential routes for future study, and implications for preschool CBC intervention are highlighted.

Lien vers le texte intégral (Open Access ou abonnement)

10. Magtibay K, Massé S, Nanthakumar K, Umapathy K. Pro-arrhythmic role of adrenergic spatial densities in the human atria: An in-silico study. PLoS One;2023;18(8):e0290676.

Chronic stress among young patients (≤ 45 years old) could result in autonomic dysfunction. Autonomic dysfunction could be exhibited via sympathetic hyperactivity, sympathetic nerve sprouting, and diffuse adrenergic stimulation in the atria. Adrenergic spatial densities could alter atrial electrophysiology and increase arrhythmic susceptibility. Therefore, we examined the role of adrenergic spatial densities in creating arrhythmogenic substrates in silico. We simulated three 25 cm2 atrial sheets with varying adrenergic spatial densities (ASD), activation rates, and external transmembrane currents. We measured their effects on spatial and temporal heterogeneity of action potential durations (APD) at 50% and 20%. Increasing ASD shortens overall APD, and maximum spatial heterogeneity (31%) is achieved at 15% ASD. The addition of a few (5% to 10%) adrenergic elements decreases the excitation threshold, below 18 μA/cm2, while ASDs greater than 10% increase their excitation threshold up to 22 μA/cm2. Increase in ASD during rapid activation increases APD50 and APD20 by 21% and 41%, respectively. Activation times of captured beats during rapid activation could change by as much as 120 ms from the baseline cycle length. Rapidly activated atrial sheets with high ASDs significantly increase temporal heterogeneity of APD50 and APD20. Rapidly activated atrial sheets with 10% ASD have a high likelihood (0.7 ± 0.06) of fragmenting otherwise uniform wavefronts due to the transient inexcitability of adrenergically stimulated elements, producing an effective functional block. The likelihood of wave fragmentation due to ASD highly correlates with the spatial variations of APD20 (ρ = 0.90, p = 0.04). Our simulations provide a novel insight into the contributions of ASD to spatial and temporal heterogeneities of APDs, changes in excitation thresholds, and a potential explanation for wave fragmentation in the human atria due to sympathetic hyperactivity. Our work may aid in elucidating an electrophysiological link to arrhythmia initiation due to chronic stress among young patients.

Lien vers le texte intégral (Open Access ou abonnement)

11. Roberts JA, Mohan A. Housing in Delaware for the Intellectual and Developmental Disabilities Population. Dela J Public Health;2023 (Jun);9(2):30-33.

Individuals with intellectual and developmental disabilities (IDD) encounter numerous barriers in attempting to access housing. Those barriers – financial, physical, and cultural in nature – have been exacerbated by the COVID-19 public health emergency and the related, or co-occurring, shifts that have characterized the housing market in the United States, and Delaware specifically, over these last three years. In this brief introductory research report, we examine the system of housing supports and their availability to individuals with IDD through a subset of those served by the state’s Division of Developmental Disabilities Services through interviews with representatives across the housing support system. Our findings fall into four areas of work: scale and scope; housing availability; housing assistance; and housing supports. We find that: the estimated scale of the housing crisis (in terms of homelessness and insecurity) affecting this population is much greater than the general population, but in line with other national estimates for individuals with IDD; there is limited available housing that is accessible to individuals with IDD available in the state; there is limited assistance available for navigating the housing that might be available; and that there are too few options for providing more supports for individuals living, or trying to live, independently. We conclude with a few suggested recommendations that could provide more reliable data and tracking of need and a call for research that connects housing for individuals with IDD into the growing body of research looking at the relationship between access to housing and health.

Lien vers le texte intégral (Open Access ou abonnement)

12. Washbourne P. Can we model autism using zebrafish?. Dev Growth Differ;2023 (Aug 25)

Autism Spectrum Disorder (ASD) is one of the most common, heritable neuropsychiatric disorders in the world, affecting almost 1% of the population. The core symptoms used to diagnose ASD are decreased social interaction and increased repetitive behaviors. Despite the large number of affected individuals, the precise mechanisms that cause the disorder remain unclear. The identification of genes and environmental factors associated with ASD allows the study of the underlying mechanisms in animal models. Although ASD presents as a human disorder, based on recent advances in understanding their brain anatomy, physiology, behavior, and evolutionary conservation of neuronal cell types, I propose that zebrafish may provide novel insights into the etiology. This article is protected by copyright. All rights reserved.

Lien vers le texte intégral (Open Access ou abonnement)

13. Xu K, Li Z, Qiao J, Wang S, Xie P, Zong Z, Hu C. Persistent organic pollutants exposure and risk of autism spectrum disorders: A systematic review and meta-analysis. Environ Pollut;2023 (Aug 22):122439.

Accumulating number of epidemiological studies has recently proposed that improvement in the risk of autism spectrum disorders (ASD) is associated with persistent organic pollutants (POPs) exposure. However, evidence from current researches is limited and inconsistent. Thus, we conducted a systematic review and meta-analysis to investigate the potential associations comprehensively. We systematically and extensively searched two electronic databases (PubMed and EMBASE) from inception to July 3, 2022 and an updated search was performed before submission. Summary odds ratios (ORs) and 95% confidence intervals (CIs) were derived from stratified random-effects meta-analyses by type of exposure and outcome. We also tested the potential heterogeneity across studies, conducted sensitivity analysis and evaluated publication bias. A total of 20 studies were finally included in our study. Meta-analytical effect estimates indicated a positive association between prenatal exposure to PCB-138, PCB-153 and PCB-170 and an increased risk of ASD, with OR of 1.89 (95% CI = 1.21-2.95, I(2) = 0%), 1.61 (95% CI = 1.05-2.47, I(2) = 0%) and 1.46 (95% CI = 1.03-2.06, I(2) = 0%) respectively. In contrast, PFDA was found inversely associated with the risk of ASD (OR = 0.70, 95% CI = 0.52-0.94, I(2) = 0%). The level of evidence supporting a link between ASD risk and exposure to PCB-138, PCB-153, PCB-170, and PFDA was respectively categorized as low, low, moderate, and low. In summary, this systematic review and meta-analysis suggest that exposure to PCB-138, PCB-153, and PCB-170 correlates with a heightened risk of ASD, with evidence levels rated as « low », « low », and « moderate », respectively. In contrast, PFDA exposure appears to be inversely associated with ASD risk, with a « low » level of supporting evidence. However, due to the limited number of studies available for each exposure and outcome pairing, these results should be interpreted with caution. Sufficiently powered studies are needed to validate our findings.

Lien vers le texte intégral (Open Access ou abonnement)