Pubmed du 11/04/24

Pubmed du jour

1. Adams D. Brief Report: Single-Session Interventions for Mental Health Challenges in Autistic People: An (Almost) Empty Systematic Review. J Autism Dev Disord. 2024.

Single-session interventions (specific, structured programs that intentionally involve just one visit or encounter with a clinic, provider, or program) have been proven to prevent or reduce mental health challenges and reduce barriers to access. This review aimed to identify and synthesise literature on the acceptability, feasibility, effectiveness, or efficacy of (non-pharmacological) single-session interventions for autistic people. Four databases (Scopus, MEDLINE, PsycINFO, and ProQuest) were searched in 12.7.2023, with no date restrictions. Search terms were selected to identify articles reporting on single-session interventions in autistic people. Two raters screened titles/abstracts of 286 articles and full text of 17 articles, resulting in just two included articles, reporting on 46 participants. Risk of bias was assessed with the Quality Assessment with Diverse Studies (QuADS). The two included papers report on specific techniques taught within a single visit to a clinic using pre- and immediate post-intervention questionnaires. One study also reported on cortisol levels pre and post. Neither study reported on acceptability or feasibility of single-session interventions. However, there was insufficient quality evidence to evaluate the effectiveness or efficacy of single-session interventions for autistic people. Although there is substantial research on single-session interventions in the broader population, there is a lack of research into such approaches for autistic people. This is a missed opportunity to evaluate a potential means of support for those at elevated risk of mental health challenges and unmet mental health service need. Future research should co-produce and co-evaluate such approaches as a priority.

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2. de Leeuw AE, Ester WA, Bolhuis K, Hoek HW, Jansen PW. Maternal Migration, Prenatal Stress and Child Autistic Traits: Insights From a Population-Based Cohort Study. J Am Acad Child Adolesc Psychiatry. 2024.

OBJECTIVE: There is emerging evidence for an increased prevalence of autism in children of mothers with a migration background. To date, the mechanisms underlying this relationship are poorly understood. We investigated whether prenatal stress exposure mediates the association between maternal migration and child autistic traits, assessing 1(st) and 2(nd) generation migrant mothers in the Netherlands and their children. METHOD: The study was embedded in the prospective population-based Generation R cohort. Of the 4,727 participants, 1,773 mothers (38%) had a migration background. Prenatal stress was assessed using questionnaires related to stressful life events, family functioning, self-esteem, long-lasting difficulties, symptoms of psychopathology, social support and perceived discrimination. Autistic traits were measured at age 6 years with the parent-reported Social Responsiveness Scale exclusively. Longitudinal multiple mediation analyses were performed. Analyses were stratified by migration origin (Europe and Outside Europe) due to differences in migration characteristics. RESULTS: Maternal migration background was associated with more experienced stress and with higher child autistic trait scores (Europe: M=0.42, SD=0.25. Outside Europe: M=0.50, SD=0.24) compared to no migration background (Netherlands: M=0.38, SD=0.23, both p<.01). Prenatal stress, especially perceived discrimination and maternal psychopathology, accounted for up to half of the total effect of maternal migration, which remained after adjusting for sociodemographic factors (B(indirect)=0.035, 95%CI [0.027, 0.043], B(total) =0.074). CONCLUSION: Stress during pregnancy mediated the association between maternal migration status and child autistic traits. Future research should focus on early interventions to assess whether reducing prenatal stress exposure among women with a migration background can result in lower offspring autistic traits.

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3. Gale-Grant O, Chew A, Falconer S, França LGS, Fenn-Moltu S, Hadaya L, Harper N, Ciarrusta J, Charman T, Murphy D, Arichi T, McAlonan G, Nosarti C, Edwards AD, Batalle D. Clinical, socio-demographic, and parental correlates of early autism traits in a community cohort of toddlers. Sci Rep. 2024; 14(1): 8393.

Identifying factors linked to autism traits in the general population may improve our understanding of the mechanisms underlying divergent neurodevelopment. In this study we assess whether factors increasing the likelihood of childhood autism are related to early autistic trait emergence, or if other exposures are more important. We used data from 536 toddlers from London (UK), collected at birth (gestational age at birth, sex, maternal body mass index, age, parental education, parental language, parental history of neurodevelopmental conditions) and at 18 months (parents cohabiting, measures of socio-economic deprivation, measures of maternal parenting style, and a measure of maternal depression). Autism traits were assessed using the Quantitative Checklist for Autism in Toddlers (Q-CHAT) at 18 months. A multivariable model explained 20% of Q-CHAT variance, with four individually significant variables (two measures of parenting style and two measures of socio-economic deprivation). In order to address variable collinearity we used principal component analysis, finding that a component which was positively correlated with Q-CHAT was also correlated to measures of parenting style and socio-economic deprivation. Our results show that parenting style and socio-economic deprivation correlate with the emergence of autism traits at age 18 months as measured with the Q-CHAT in a community sample.

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4. Guan Z, Yu J, Shi Z, Liu X, Yu R, Lai T, Yang C, Dong H, Chen R, Wei L. Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification. Comput Biol Med. 2024; 174: 108415.

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that requires objective and accurate identification methods for effective early intervention. Previous population-based methods via functional connectivity (FC) analysis ignore the differences between positive and negative FCs, which provide the potential information complementarity. And they also require additional information to construct a pre-defined graph. Meanwhile, two challenging demand attentions are the imbalance of performance caused by the class distribution and the inherent heterogeneity of multi-site data. In this paper, we propose a novel dynamic graph Transformer network based on dual-view connectivity for ASD Identification. It is based on the Autoencoders, which regard the input feature as individual feature and without any inductive bias. First, a dual-view feature extractor is designed to extract individual and complementary information from positive and negative connectivity. Then Graph Transformer network is innovated with a hot plugging K-Nearest Neighbor (KNN) algorithm module which constructs a dynamic population graph without any additional information. Additionally, we introduce the PolyLoss function and the Vrex method to address the class imbalance and improve the model’s generalizability. The evaluation experiment on 1102 subjects from the ABIDE I dataset demonstrates our method can achieve superior performance over several state-of-the-art methods and satisfying generalizability for ASD identification.

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5. Han JH, Kim JM, Yoo HJ. Examining the Use of Oral Aripiprazole in Patients With Autism Spectrum Disorder: A Study of Retrospective Chart Review at a University Medical Center. Soa Chongsonyon Chongsin Uihak. 2024; 35(2): 136-42.

OBJECTIVES: The purpose of this study was to examine the patterns of use of oral aripiprazole treatment in children and adolescents diagnosed with autism spectrum disorder (ASD) at a university medical center in Korea. METHODS: We retrospectively reviewed the medical records of 164 outpatient children and adolescents diagnosed with ASD by child and adolescent psychiatrists. Patient demographic characteristics, clinical features, age and dose of aripiprazole treatment, associated adverse events, and concomitant medications, etc. were evaluated. RESULTS: Aripiprazole treatment was initiated at a mean age of 7.64 years, at a mean initial dose of 1.15 mg. Methylphenidate was often co-administered with aripiprazole. The most commonly reported adverse effects were increased appetite and weight gain, which in some cases led to discontinuation of medication. CONCLUSION: A follow-up study is warranted to evaluate the efficacy and safety of aripiprazole treatment in Korean children and adolescents diagnosed with ASD, and it is crucial to consider their clinical characteristics and response to treatment in the evaluation.

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6. Lee M, Lee S, Sohn JW, Kim KW, Choi HJ. Erratum: Assessment Methods for Problematic Eating Behaviors in Children and Adolescents With Autism Spectrum Disorder. Soa Chongsonyon Chongsin Uihak. 2024; 35(2): 150.

[This corrects the article on p. 57 in vol. 35, PMID: 38204745.].

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7. Li G, Zarei MA, Alibakhshi G, Labbafi A. Teachers and educators’ experiences and perceptions of artificial-powered interventions for autism groups. BMC Psychol. 2024; 12(1): 199.

BACKGROUND: Artificial intelligence-powered interventions have emerged as promising tools to support autistic individuals. However, more research must examine how teachers and educators perceive and experience these AI systems when implemented. OBJECTIVES: The first objective was to investigate informants’ perceptions and experiences of AI-empowered interventions for children with autism. Mainly, it explores the informants’ perceived benefits and challenges of using AI-empowered interventions and their recommendations for avoiding the perceived challenges. METHODOLOGY: A qualitative phenomenological approach was used. Twenty educators and parents with experience implementing AI interventions for autism were recruited through purposive sampling. Semi-structured and focus group interviews conducted, transcribed verbatim, and analyzed using thematic analysis. FINDINGS: The analysis identified four major themes: perceived benefits of AI interventions, implementation challenges, needed support, and recommendations for improvement. Benefits included increased engagement and personalized learning. Challenges included technology issues, training needs, and data privacy concerns. CONCLUSIONS: AI-powered interventions show potential to improve autism support, but significant challenges must be addressed to ensure effective implementation from an educator’s perspective. The benefits of personalized learning and student engagement demonstrate the potential value of these technologies. However, with adequate training, technical support, and measures to ensure data privacy, many educators will likely find integrating AI systems into their daily practices easier. IMPLICATIONS: To realize the full benefits of AI for autism, developers must work closely with educators to understand their needs, optimize implementation, and build trust through transparent privacy policies and procedures. With proper support, AI interventions can transform how autistic individuals are educated by tailoring instruction to each student’s unique profile and needs.

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8. Maguire K, Warman H, Blumenfeld F, Langdon PE. The relationship between psychopathy and autism: a systematic review and narrative synthesis. Front Psychiatry. 2024; 15: 1375170.

BACKGROUND AND METHODS: The aim of this systematic review was to synthesise research examining the relationship between autism and psychopathy to: (a) better understand the relationship between these two constructs, and (b) describe the clinical manifestation of the two when they co-occur. A systematic search of the literature returned 36 studies. RESULTS: Across all ages, autistic individuals and those with elevated autistic traits but no autistic diagnoses appeared to have increased callous and unemotional traits or psychopathy relative to the general population. Several studies evidenced that although both constructs are associated with empathetic dysfunction, the underlying mechanisms differ. In adults, psychopathy/psychopathic traits were associated with diminished affective empathy and intact cognitive empathy, whilst the opposite was seen autistic adults and those with elevated autistic traits. In children, those with autistic traits or a diagnosis of autism had diminished cognitive empathy, but not affective empathy, while the relationship between callous and unemotional traits/psychopathy and empathy amongst children was less clear. The co-occurrence of autism and psychopathy was seen to lead to additional empathic and cognitive impairment, but findings were mixed making it challenging to clearly describe the clinical manifestation. CONCLUSION: There remains a paucity of research investigating the interaction between autism and psychopathy and included studies were characterised by multiple measurement difficulties. Attention should be directed toward developing better methods for identifying psychopathic traits in autistic individuals to advance our understanding of the relationship between autism and psychopathy to allow for the development of appropriate care pathways for this population. SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=413672, identifier CRD42023413672.

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9. Mao Y, Lin X, Wu Y, Lu J, Shen J, Zhong S, Jin X, Ma J. Additive interaction between birth asphyxia and febrile seizures on autism spectrum disorder: a population-based study. Mol Autism. 2024; 15(1): 17.

BACKGROUND: Autism Spectrum Disorder (ASD) is a pervasive neurodevelopmental disorder that can significantly impact an individual’s ability to socially integrate and adapt. It’s crucial to identify key factors associated with ASD. Recent studies link both birth asphyxia (BA) and febrile seizures (FS) separately to higher ASD prevalence. However, investigations into the interplay of BA and FS and its relationship with ASD are yet to be conducted. The present study mainly focuses on exploring the interactive effect between BA and FS in the context of ASD. METHODS: Utilizing a multi-stage stratified cluster sampling, we initially recruited 84,934 Shanghai children aged 3-12 years old from June 2014 to June 2015, ultimately including 74,251 post-exclusion criteria. A logistic regression model was conducted to estimate the interaction effect after controlling for pertinent covariates. The attributable proportion (AP), the relative excess risk due to interaction (RERI), the synergy index (SI), and multiplicative-scale interaction were computed to determine the interaction effect. RESULTS: Among a total of 74,251 children, 192 (0.26%) were diagnosed with ASD. The adjusted odds ratio for ASD in children with BA alone was 3.82 (95% confidence interval [CI] 2.42-6.02), for FS alone 3.06 (95%CI 1.48-6.31), and for comorbid BA and FS 21.18 (95%CI 9.10-49.30), versus children without BA or FS. The additive interaction between BA and FS showed statistical significance (P < 0.001), whereas the multiplicative interaction was statistically insignificant (P > 0.05). LIMITATIONS: This study can only demonstrate the relationship between the interaction of BA and FS with ASD but cannot prove causation. Animal brain experimentation is necessary to unravel its neural mechanisms. A larger sample size, ongoing monitoring, and detailed FS classification are needed for confirming BA-FS interaction in ASD. CONCLUSION: In this extensive cross-sectional study, both BA and FS were significantly linked to ASD. The coexistence of these factors was associated with an additive increase in ASD prevalence, surpassing the cumulative risk of each individual factor.

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10. Marcham H, Tavassoli T. Relationship Between Directly Observed Sensory Reactivity Differences and Classroom Behaviors of Autistic Children. Am J Occup Ther. 2024; 78(3).

IMPORTANCE: Differences in sensory reactivity are a core feature of autism; however, more remains to be learned about their role in classroom learning. OBJECTIVE: To use direct observational measures to investigate whether there is a link between sensory reactivity differences and classroom behaviors of autistic children. DESIGN: Correlational study. SETTING: Two special educational needs schools. PARTICIPANTS: Children with a clinical diagnosis of autism, ages 5 to 18 yr (N = 53). OUTCOMES AND MEASURES: Sensory reactivity differences were assessed with the Sensory Assessment for Neurodevelopmental Differences. Classroom behaviors were measured using the Behavior Assessment for Children-Second Edition Student Observation System. RESULTS: Total sensory reactivity differences were correlated positively with behaviors that impede learning (r = .31, p < .05) and negatively with behaviors that facilitate learning (r = -.38, p < .05). Hyporeactivity differences were correlated positively with behaviors that impede learning (r = .28, p < .05) and negatively with behaviors that facilitate learning (r = -.31, p < .05). Hyperreactivity and sensory-seeking differences were not significantly correlated with behavior. CONCLUSIONS AND RELEVANCE: Results suggest a link between sensory reactivity differences and classroom behaviors, highlighting a need for further research using observational measures in special education settings. Plain-Language Summary: Differences in hyporeactivity for children with autism may play a bigger role in classroom behavior and learning than previous literature has suggested. This has implications in occupational therapy practice for how to tailor support for children with hyporeactivity differences.

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11. Ortug A, Guo Y, Feldman HA, Ou Y, Warren JLA, Dieuveuil H, Baumer NT, Faja SK, Takahashi E. Autism-associated brain differences can be observed in utero using MRI. Cereb Cortex. 2024; 34(4).

Developmental changes that occur before birth are thought to be associated with the development of autism spectrum disorders. Identifying anatomical predictors of early brain development may contribute to our understanding of the neurobiology of autism spectrum disorders and allow for earlier and more effective identification and treatment of autism spectrum disorders. In this study, we used retrospective clinical brain magnetic resonance imaging data from fetuses who were diagnosed with autism spectrum disorders later in life (prospective autism spectrum disorders) in order to identify the earliest magnetic resonance imaging-based regional volumetric biomarkers. Our results showed that magnetic resonance imaging-based autism spectrum disorder biomarkers can be found as early as in the fetal period and suggested that the increased volume of the insular cortex may be the most promising magnetic resonance imaging-based fetal biomarker for the future emergence of autism spectrum disorders, along with some additional, potentially useful changes in regional volumes and hemispheric asymmetries.

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12. Padovan-Neto FE, Cerveira AJO, da Silva A, Ribeiro DL. Beyond traditional pharmacology: evaluating phosphodiesterase inhibitors in autism spectrum disorder. Neuropsychopharmacology. 2024.

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13. Pereira DJ, Morais S, Sayal A, Pereira J, Meneses S, Areias G, Direito B, Macedo A, Castelo-Branco M. Neurofeedback training of executive function in autism spectrum disorder: distinct effects on brain activity levels and compensatory connectivity changes. J Neurodev Disord. 2024; 16(1): 14.

BACKGROUND: Deficits in executive function (EF) are consistently reported in autism spectrum disorders (ASD). Tailored cognitive training tools, such as neurofeedback, focused on executive function enhancement might have a significant impact on the daily life functioning of individuals with ASD. We report the first real-time fMRI neurofeedback (rt-fMRI NF) study targeting the left dorsolateral prefrontal cortex (DLPFC) in ASD. METHODS: Thirteen individuals with autism without intellectual disability and seventeen neurotypical individuals completed a rt-fMRI working memory NF paradigm, consisting of subvocal backward recitation of self-generated numeric sequences. We performed a region-of-interest analysis of the DLPFC, whole-brain comparisons between groups and, DLPFC-based functional connectivity. RESULTS: The ASD and control groups were able to modulate DLPFC activity in 84% and 98% of the runs. Activity in the target region was persistently lower in the ASD group, particularly in runs without neurofeedback. Moreover, the ASD group showed lower activity in premotor/motor areas during pre-neurofeedback run than controls, but not in transfer runs, where it was seemingly balanced by higher connectivity between the DLPFC and the motor cortex. Group comparison in the transfer run also showed significant differences in DLPFC-based connectivity between groups, including higher connectivity with areas integrated into the multidemand network (MDN) and the visual cortex. CONCLUSIONS: Neurofeedback seems to induce a higher between-group similarity of the whole-brain activity levels (including the target ROI) which might be promoted by changes in connectivity between the DLPFC and both high and low-level areas, including motor, visual and MDN regions.

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14. Riemersma IW, Ike KGO, Sollie T, Meijer EL, Havekes R, Kas MJH. Suppression of Cofilin function in the somatosensory cortex alters social contact behavior in the BTBR mouse inbred line. Cereb Cortex. 2024; 34(4).

Sensory differences are a core feature of autism spectrum disorders (ASD) and are predictive of other ASD core symptoms such as social difficulties. However, the neurobiological substrate underlying the functional relationship between sensory and social functioning is poorly understood. Here, we examined whether misregulation of structural plasticity in the somatosensory cortex modulates aberrant social functioning in BTBR mice, a mouse model for autism spectrum disorder-like phenotypes. By locally expressing a dominant-negative form of Cofilin (CofilinS3D; a key regulator of synaptic structure) in the somatosensory cortex, we tested whether somatosensory suppression of Cofilin activity alters social functioning in BTBR mice. Somatosensory Cofilin suppression altered social contact and nest-hide behavior of BTBR mice in a social colony, assessed for seven consecutive days. Subsequent behavioral testing revealed that altered social functioning is related to altered tactile sensory perception; CofilinS3D-treated BTBR mice showed a time-dependent difference in the sensory bedding preference task. These findings show that Cofilin suppression in the somatosensory cortex alters social functioning in BTBR mice and that this is associated with tactile sensory processing, a critical indicator of somatosensory functioning.

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15. Sharma A, Pappas D, Gonzalez-Heydrich J, Sullivan NR, Nyp SS. New-Onset Hallucinations and Developmental Regression in a Child with Autism Spectrum Disorder. J Dev Behav Pediatr. 2024.

Nick is a 5-year-old boy who began displaying self-stimulating behaviors and decreased social interactions shortly before turning 3 years. At the age of 3.5 years, he was diagnosed with autism spectrum disorder by a local developmental-behavioral pediatrician. His parents recall that the physician described Nick to be « high functioning » and encouraged them to expect that he would attend college and live independently as an adult. Upon receiving the diagnosis, intervention was initiated using an applied behavioral analysis (ABA) approach. With this intervention, he demonstrated initial gains in the use of complex language and improved social interactions.Concerns regarding suspected psychosis emerged just before starting kindergarten when Nick began experiencing ego-dystonic visual and auditory hallucinations. Initially, Nick verbally responded to the hallucinations and vividly described what he was experiencing. Shortly after the onset of these hallucinations, Nick experienced a significant decrease in the frequency and complexity of his expressive language and became more withdrawn. Over time, his hallucinations intensified, and his parents became increasingly fearful for his safety. Various antipsychotic and mood-stabilizing medications, steroids, and immunotherapy have been trialed with limited improvement of his symptoms.An extensive medical evaluation yielded the following:1. Magnetic resonance imaging of the brain: dilated perivascular spaces.2. Urine organic acids: ketosis and increased lactic acid.3. Antinuclear antibody: minimally positive.4. Vitamin B12: elevated.All other studies, including lumbar puncture, electroencephalogram (awake and asleep), genetic studies (chromosomal microarray, fragile X testing, and whole exome sequencing), metabolic studies, inflammatory markers, and thyroid panel, were negative/normal.Nick is enrolled in a special education classroom within a school that utilizes an ABA-based approach for all students. As part of his educational programming, he receives 25 hours of ABA in a 1:1 setting, 2 hours of speech therapy, 3 hours of occupational therapy, 1 hour of physical therapy, and 30 minutes of music therapy weekly. Current concerns include significant head-banging and thrashing before falling asleep, hyperactivity, unsafe behaviors (e.g., banging on windows, climbing high to reach desired items), aggression toward caregivers, limited ability to complete self-care tasks (e.g., personal hygiene, toileting), significant decline in expressive language, and continued response to internal stimuli.Nick’s parents now present to a multidisciplinary center seeking guidance regarding additional therapies/interventions to assist in management of his current developmental and behavioral challenges as well as information regarding his expected developmental trajectory as he reaches adulthood.

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16. Smith SS, Benanni S, Jones Q, Kenney L, Evrard M. Manipulation of α4βδ GABA(A) receptors alters synaptic pruning in layer 3 prelimbic prefrontal cortex and impairs temporal order recognition: Implications for schizophrenia and autism. Brain Res. 2024: 148929.

Temporal order memory is impaired in autism spectrum disorder (ASD) and schizophrenia (SCZ). These disorders, more prevalent in males, result in abnormal dendritic spine pruning during adolescence in layer 3 (L3) medial prefrontal cortex (mPFC), yielding either too many (ASD) or too few (SCZ) spines. Here we tested whether altering spine density in neural circuits including the mPFC could be associated with impaired temporal order memory in male mice. We have shown that α4βδ GABA(A) receptors (GABARs) emerge at puberty on spines of L5 prelimbic mPFC (PL) where they trigger pruning. We show here that α4βδ receptors also increase at puberty in L3 PL (P < 0.0001) and used these receptors as a target to manipulate spine density here. Pubertal injection (14 d) of the GABA agonist gaboxadol, at a dose (3 mg/kg) selective for α4βδ, reduced L3 spine density by half (P < 0.0001), while α4 knock-out increased spine density ∼ 40 % (P < 0.0001), mimicking spine densities in SCZ and ASD, respectively. In both cases, performance on the mPFC-dependent temporal order recognition task was impaired, resulting in decreases in the discrimination ratio which assesses preference for the novel object: -0.39 ± 0.15, gaboxadol versus 0.52 ± 0.09, vehicle; P = 0.0002; -0.048 ± 0.10, α4 KO versus 0.49 ± 0.04, wild-type; P < 0.0001. In contrast, the number of approaches was unaltered, reflecting unchanged locomotion. These data suggest that altering α4βδ GABAR expression/activity alters spine density in L3 mPFC and impairs temporal order memory to mimic changes in ASD and SCZ. These findings may provide insight into these disorders.

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17. Terol AK, Meadan H, Gómez LR, Magaña S. Cultural adaptation of an intervention for caregivers of young autistic children: Community members’ perspectives. Fam Process. 2024.

Caregivers of autistic children in low-to-middle-income countries experience many barriers to access resources to support their child’s development. Caregiver training is considered an evidence-based practice and may be a cost-effective way to support caregivers of autistic children in such settings. This study focuses on the cultural adaptation of Parents Taking Action (PTA; Magaña et al., Family Process, 56, 57-74, 2017) to support caregivers of autistic children in Paraguay. We conducted focus groups and individual interviews with 28 caregivers, autistic individuals, and professionals in Paraguay to understand caregivers’ needs and to explore needed cultural adaptations of PTA to achieve contextual fit. Participants identified caregivers’ need for accurate and reliable information, strategies to support children’s growth, and emotional support and strategies to manage stress. Additionally, participants provided recommendations for adapting PTA considering the dimensions within the Cultural Adaptation Checklist (Lee et al., International Journal of Developmental Disabilities, 2023). This study is the first step in the iterative process of culturally adapting an intervention and the process described in this study may be appropriate for culturally adapting other interventions.

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18. Tomeny TS, Hudac CM, Malaia EA, Morett LM, Tomeny KR, Watkins L, Kana RK. Serving Individuals With Autism Spectrum Disorder in the Age of COVID-19: Special Considerations for Rural Families. Rural Spec Educ Q. 2023; 42(2): 105-18.

This position paper explores the needs of rural families of children, adolescents, and adults with autism spectrum disorder (ASD) during the COVID-19 pandemic. Prior to COVID-19, literature portrays elevated stress in families of individuals with ASD and health and socioeconomic disparities for rural and underserved populations. These disparities were exacerbated due to COVID-19 and subsequent lockdowns and economic turmoil. Academic and adaptive skills training were particularly impacted due to school closures, with parents tasked with taking some responsibility for training these skills. Our goals for this article focus on special considerations for rural families regarding (a) neurobiological and developmental impacts of stressful experiences like COVID-19, (b) delineation of the impacts on individuals with ASD and other comorbid and related conditions, and (c) education and intervention needs during these times. Finally, we offer suggestions for future care during pandemic events, including recommendations for improving service delivery under such conditions.

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