1. Ahlfors SP, Graham S, Alho J, Joseph RM, McGuiggan NM, Nayal Z, Hämäläinen MS, Khan S, Kenet T. Magnetoencephalography and electroencephalography can both detect differences in cortical responses to vibrotactile stimuli in individuals on the autism spectrum. Front Psychiatry;2022;13:902332.

Autism Spectrum (AS) is defined primarily by differences in social interactions, with impairments in sensory processing also characterizing the condition. In the search for neurophysiological biomarkers associated with traits relevant to the condition, focusing on sensory processing offers a path that is likely to be translatable across populations with different degrees of ability, as well as into animal models and across imaging modalities. In a prior study, a somatosensory neurophysiological signature of AS was identified using magnetoencephalography (MEG). Specifically, source estimation results showed differences between AS and neurotypically developing (NTD) subjects in the brain response to 25-Hz vibrotactile stimulation of the right fingertips, with lower inter-trial coherence (ITC) observed in the AS group. Here, we examined whether these group differences can be detected without source estimation using scalp electroencephalography (EEG), which is more commonly available in clinical settings than MEG, and therefore offers a greater potential for clinical translation. To that end, we recorded simultaneous whole-head MEG and EEG in 14 AS and 10 NTD subjects (age 15-28 years) using the same vibrotactile paradigm. Based on the scalp topographies, small sets of left hemisphere MEG and EEG sensors showing the maximum overall ITC were selected for group comparisons. Significant differences between the AS and NTD groups in ITC at 25 Hz as well as at 50 Hz were recorded in both MEG and EEG sensor data. For each measure, the mean ITC was lower in the AS than in the NTD group. EEG ITC values correlated with behaviorally assessed somatosensory sensation avoiding scores. The results show that information about ITC from MEG and EEG signals have substantial overlap, and thus EEG sensor-based ITC measures of the AS somatosensory processing biomarker previously identified using source localized MEG data have a potential to be developed into clinical use in AS, thanks to the higher accessibility to EEG in clinical settings.

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2. Ambarchi Z, Boulton KA, Thapa R, Thomas EE, DeMayo MM, Sasson NJ, Hickie IB, Guastella AJ. Evidence of a reduced role for circumscribed interests in the social attention patterns of children with Autism Spectrum Disorder. J Autism Dev Disord;2022 (Aug 4)

Reduced social attention is characteristic of Autism Spectrum Disorder (ASD). It has been suggested to result from an early onset and excessive influence of circumscribed interests (CIs) on gaze behaviour, compared to typically developing (TYP) individuals. To date, these findings have been mixed. The current eye-tracking study utilised a visual preference paradigm to investigate the influence of CI versus non-CI objects on attention patterns in children with ASD (aged 3-12 years, n = 37) and their age-matched TYP peers (n = 30). Compared to TYP, social and object attention was reduced in the ASD group irrespective of the presence of CIs. Results suggest a reduced role for CIs and extend recent evidence of atypical attention patterns across social and non-social domains in ASD.

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3. Barber C. Anticipatory grief and bereavement: the perspective of an individual with autism. Br J Community Nurs;2022 (Aug 2);27(8):378-383.

Much has been written around the meaning and impact of grief and grieving on people’s lives following the death of a person, and anticipatory grief/grieving is receiving increased attention in nursing and healthcare. However, the impact of anticipatory grief on an autistic male adult has received far less research exposure than that of neurotypical (non-autistic) adults. This article, ‘written’ in the form of a letter by the author to community nurses, seeks to address this. The intention is to initiate reflective discussions around anticipatory grief and grieving, as current and future support will be stimulated on the part of community nurses through dialogue between those on the autistic spectrum and community nurses. Ultimately, the aim of this article is to help improve the support provided by community nurses to autistic individuals.

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4. Carson L, Parlatini V, Safa T, Baig B, Shetty H, Phillips-Owen J, Prasad V, Downs J. The association between early childhood onset epilepsy and attention-deficit hyperactivity disorder (ADHD) in 3237 children and adolescents with Autism Spectrum Disorder (ASD): a historical longitudinal cohort data linkage study. Eur Child Adolesc Psychiatry;2022 (Aug 4)

Children and young people with Autism Spectrum Disorder (ASD) have an increased risk of comorbidities, such as epilepsy and Attention-Deficit/Hyperactivity Disorder (ADHD). However, little is known about the relationship between early childhood epilepsy (below age 7) and later ADHD diagnosis (at age 7 or above) in ASD. In this historical cohort study, we examined this relationship using an innovative data source, which included linked data from routinely collected acute hospital paediatric records and childhood community and inpatient psychiatric records. In a large sample of children and young people with ASD (N = 3237), we conducted a longitudinal analysis to examine early childhood epilepsy as a risk factor for ADHD diagnosis while adjusting for potential confounders, including socio-demographic characteristics, intellectual disability, family history of epilepsy and associated physical conditions. We found that ASD children and young people diagnosed with early childhood epilepsy had nearly a twofold increase in risk of developing ADHD later in life, an association which persisted after adjusting for potential confounders (adjusted OR = 1.72, CI95% = 1.13-2.62). This study suggests that sensitive monitoring of ADHD symptoms in children with ASD who have a history of childhood epilepsy may be important to promote early detection and treatment. It also highlights how linked electronic health records can be used to examine potential risk factors over time for multimorbidity in neurodevelopmental conditions.

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5. Cooley Coleman JA, Fee T, Bend R, Louie R, Annese F, Stallworth J, Worthington J, Buchanan CB, Everman DB, Skinner S, Friez MJ, Jones JR, Spellicy CJ. Mosaicism of common pathogenic MECP2 variants identified in two males with a clinical diagnosis of Rett syndrome. Am J Med Genet A;2022 (Aug 4)

Rett (RTT) syndrome, a neurodevelopmental disorder caused by pathogenic variation in the MECP2 gene, is characterized by developmental regression, loss of purposeful hand movements, stereotypic hand movements, abnormal gait, and loss of spoken language. Due to the X-linked inheritance pattern, RTT is typically limited to females. Recent studies revealed somatic mosaicism in MECP2 in male patients with RTT-like phenotypes. While detecting mosaic variation using Sanger sequencing is theoretically possible for mosaicism over ~15%-20%, several variables, including efficiency of PCR, background noise, and/or human error, contribute to a low detection rate using this technology. Mosaic variants in two males were detected by next generation sequencing (NGS; Case 1) and by Sanger re-sequencing (Case 2). Both had targeted digital PCR (dPCR) to confirm the variants. In this report, we present two males with classic RTT syndrome in whom we identified pathogenic variation in the MECP2 gene in the mosaic state (c.730C > T (p.Gln244*) in Patient 1 and c.397C > T (p.Arg133Cys) in Patient 2). In addition, estimates and measures of mosaic variant fraction were surprisingly similar between Sanger sequencing, NGS, and dPCR. The mosaic state of these variants contributed to a lengthy diagnostic odyssey for these patients. While NGS and even Sanger sequencing may be viable methods of detecting mosaic variation in DNA or RNA samples, applying targeted dPCR to supplement these sequencing technologies would provide confirmation of somatic mosaicism and mosaic fraction.

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6. Davies J, Heasman B, Livesey A, Walker A, Pellicano E, Remington A. Autistic adults’ views and experiences of requesting and receiving workplace adjustments in the UK. PLoS One;2022;17(8):e0272420.

This article examines 181 autistic adults’ views toward, and experiences of, requesting and receiving workplace adjustments in the UK. Using an online survey, we collected both qualitative and quantitative data relating to individuals’ experiences. While the majority of participants perceived workplace adjustments to be important, many were not receiving them. Analysis of open-ended text responses highlighted specific challenges that autistic people face in requesting and receiving adjustments. Specifically, participants felt the onus fell on them to (1) identify their need for adjustments; (2) establish the specific adjustments that would be beneficial and (3) request adjustments from their employer. Yet, they reported struggling with this process. Participants also highlighted a range of social and organisational barriers to the successful implementation of workplace adjustments. Unsurprisingly, the lack of successfully implemented adjustments had far-reaching impacts on participants’ wellbeing as well as the choices they made about their future employment. These findings highlight the need for employers to take a more active role in the identification and implementation of workplace adjustments, as well as a need for more understanding and inclusive working environments that truly allow autistic employees to thrive in the workplace.

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7. Franco C, Gianò M, Favero G, Rezzani R. Impairment in the Intestinal Morphology and in the Immunopositivity of Toll-like Receptor-4 and Other Proteins in an Autistic Mouse Model. Int J Mol Sci;2022 (Aug 5);23(15)

Autism spectrum disorder (ASD) identifies a neurodevelopmental disease defined by social impairments and repetitive or stereotyped behaviors. The etiology of ASD remains unclear; it primarily affects the brain, but a link between gastrointestinal (GI) diseases, inflammatory mucosal pathology and this disorder has been suggested. In particular, a central role seems to be played by an imbalance in pro-and anti-inflammatory cytokines, oxidative stress, and apoptosis. Toll-like receptor 4 (TLR4) is a protein of innate immunity responsible for the regulation and maintenance of intestinal homeostasis. Through histochemical and immunohistochemical evaluations we analyzed the intestinal morphology and the immunopositivity of TLR4 and of other pro-inflammatory and apoptotic proteins in BTBR T+Itpr3tf/J mice. Morphological data showed that the mucosal tunica presented longer intestinal villi. The length of the villi and the epithelial surface determine the exchanges of the intestinal mucosa with luminal contents, modifying the microbiota composition. The biochemical and immunohistochemical results indicated a close relationship among the increase of TLR4 and the activation of NF-kB subunits (p65 and p50) and pro-inflammatory and apoptotic proteins, such as cyclooxygenase-2, interleukin-1β, inducible nitric oxide synthase, tumor nuclear factor-alpha, caspase-3, caspase-8. These preliminary results require more in-depth study but they suggest the TLR4 signaling pathway as a possible target for therapeutic approaches to reduce GI disorders in ASD.

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8. Hao Z, Shi Y, Huang L, Sun J, Li M, Gao Y, Li J, Wang Q, Zhan L, Ding Q, Jia X, Li H. The Atypical Effective Connectivity of Right Temporoparietal Junction in Autism Spectrum Disorder: A Multi-Site Study. Front Neurosci;2022;16:927556.

Social function impairment is the core deficit of autism spectrum disorder (ASD). Although many studies have investigated ASD through a variety of neuroimaging tools, its brain mechanism of social function remains unclear due to its complex and heterogeneous symptoms. The present study aimed to use resting-state functional magnetic imaging data to explore effective connectivity between the right temporoparietal junction (RTPJ), one of the key brain regions associated with social impairment of individuals with ASD, and the whole brain to further deepen our understanding of the neuropathological mechanism of ASD. This study involved 1,454 participants from 23 sites from the Autism Brain Imaging Data Exchange (ABIDE) public dataset, which included 618 individuals with ASD and 836 with typical development (TD). First, a voxel-wise Granger causality analysis (GCA) was conducted with the RTPJ selected as the region of interest (ROI) to investigate the differences in effective connectivity between the ASD and TD groups in every site. Next, to obtain further accurate and representative results, an image-based meta-analysis was implemented to further analyze the GCA results of each site. Our results demonstrated abnormal causal connectivity between the RTPJ and the widely distributed brain regions and that the connectivity has been associated with social impairment in individuals with ASD. The current study could help to further elucidate the pathological mechanisms of ASD and provides a new perspective for future research.

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9. Hayward SM, Stokes MA, McVilly KR. Short report: Gendered workplace social interaction processes in autism. Res Dev Disabil;2022 (Oct);129:104310.

BACKGROUND: Navigating workplace social interactions can be stressful for autistic people and be experienced differently by gender. A better understanding of the autistic experience of these difficulties is needed to inform effective policy, practice, and individualized support. METHOD: Fifty-five autistic individuals (n women=32; n men=22) participated in either an online survey or focus group. Data were analyzed using inductive thematic analysis. RESULTS: The data suggests that the social and interaction expectations placed upon autistic individuals differ by gender and can contribute to occupational stress. CONCLUSIONS: The data provides a basis for further investigation considering Conservation of Resources Theory and its practical application to inform reasonable adjustments in the workplace for autistic people. WHAT THIS PAPER ADDS: The gendered workplace experiences of autistic people is an emerging area of research. However, how workplace social interactions are experienced by each gender remains under-researched. An understanding of this could help decrease occupational stress, inform reasonable adjustments, and increase labor market participation in this population. This paper adds to the existing literature in showing that workplace social interactions for autistic people are experienced differently by gender. As such, the implications in the experience of occupational stress may also differ. Therefore, the importance of having reasonable adjustments in the workplace that account for gender is highlighted.

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10. Hemmers J, Baethge C, Vogeley K, Falter-Wagner CM. Are Executive Dysfunctions Relevant for the Autism-Specific Cognitive Profile?. Front Psychiatry;2022;13:886588.

Executive functions (EF) have been shown to be important for the understanding of Autism Spectrum Disorder (ASD), but dysfunctions of EF are not autism-specific. The specific role of EF in ASD, its relationship to core autism characteristics, such as mentalizing, needs to be explored. Medline- and PsychINFO databases were searched for studies published between 1990 and 2020 that included measures of EF in ASD and typically developing control persons (TD) in combination with either Theory of Mind (ToM) or Weak Central Coherence (WCC) tasks. A pre-registered meta-analysis and cross-study regression was performed including a total of 42 studies (ASD n = 1,546, TD n = 1,206). Results were reported according to PRISMA guidelines. In all cognitive domains, the ASD group showed significantly reduced performance. Importantly, EF subdomains and ToM were not significantly correlated. This finding rules out a significant association between EF subdomains and ToM and questions the relevance of EF dysfunctions for the autism-specific feature of reduced mentalizing.

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11. Hetman M, Moreira H, Barg E. The best tool for the assessment of developmental disorders in children with down syndrome: comparison of standard and specialized growth charts – cross sectional study. Front Endocrinol (Lausanne);2022;13:928151.

Down Syndrome (DS) is a chromosomal abnormality associated with a spectrum of cognitive and physical disabilities. Children with DS are exposed to both lower and excess body weight and follow distinct growth-curve patterns that deviate significantly from those of children without chromosomal defects. Anthropometric parameters are assessed in the pediatric population with the use of growth charts. The study is based on data from 411 children and adults with DS from Poland. Detailed information concerning children and online survey results were also analyzed. Centiles and standard deviation scores (SDS) of obtained anthropometric parameters were aligned with the data using the LMS method. The study aims to identify which type of growth chart (standard vs specialized) is a leading tool for earlier detection of developmental disorders in DS. The results obtained in the two types of growth charts differed. The advantage of the specialized growth charts over the standard ones cannot be unequivocally determined. Only the combination of both tools allows to detect the development disorders early in the broadest possible way.

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12. Kaur M, Costello J, Willis E, Kelm K, Reformat MZ, Bolduc FV. Deciphering the Diversity of Mental Models in Neurodevelopmental Disorders: Knowledge Graph Representation of Public Data Using Natural Language Processing. J Med Internet Res;2022 (Aug 5);24(8):e39888.

BACKGROUND: Understanding how individuals think about a topic, known as the mental model, can significantly improve communication, especially in the medical domain where emotions and implications are high. Neurodevelopmental disorders (NDDs) represent a group of diagnoses, affecting up to 18% of the global population, involving differences in the development of cognitive or social functions. In this study, we focus on 2 NDDs, attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), which involve multiple symptoms and interventions requiring interactions between 2 important stakeholders: parents and health professionals. There is a gap in our understanding of differences between mental models for each stakeholder, making communication between stakeholders more difficult than it could be. OBJECTIVE: We aim to build knowledge graphs (KGs) from web-based information relevant to each stakeholder as proxies of mental models. These KGs will accelerate the identification of shared and divergent concerns between stakeholders. The developed KGs can help improve knowledge mobilization, communication, and care for individuals with ADHD and ASD. METHODS: We created 2 data sets by collecting the posts from web-based forums and PubMed abstracts related to ADHD and ASD. We utilized the Unified Medical Language System (UMLS) to detect biomedical concepts and applied Positive Pointwise Mutual Information followed by truncated Singular Value Decomposition to obtain corpus-based concept embeddings for each data set. Each data set is represented as a KG using a property graph model. Semantic relatedness between concepts is calculated to rank the relation strength of concepts and stored in the KG as relation weights. UMLS disorder-relevant semantic types are used to provide additional categorical information about each concept’s domain. RESULTS: The developed KGs contain concepts from both data sets, with node sizes representing the co-occurrence frequency of concepts and edge sizes representing relevance between concepts. ADHD- and ASD-related concepts from different semantic types shows diverse areas of concerns and complex needs of the conditions. KG identifies converging and diverging concepts between health professionals literature (PubMed) and parental concerns (web-based forums), which may correspond to the differences between mental models for each stakeholder. CONCLUSIONS: We show for the first time that generating KGs from web-based data can capture the complex needs of families dealing with ADHD or ASD. Moreover, we showed points of convergence between families and health professionals’ KGs. Natural language processing-based KG provides access to a large sample size, which is often a limiting factor for traditional in-person mental model mapping. Our work offers a high throughput access to mental model maps, which could be used for further in-person validation, knowledge mobilization projects, and basis for communication about potential blind spots from stakeholders in interactions about NDDs. Future research will be needed to identify how concepts could interact together differently for each stakeholder.

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13. Leonard H, Whitehouse A, Jacoby P, Benke T, Demarest S, Saldaris J, Wong K, Reddihough D, Williams K, Downs J. Quality of life beyond diagnosis in intellectual disability – Latent profiling. Res Dev Disabil;2022 (Oct);129:104322.

OBJECTIVE: To compare quality of life (QOL) across diagnoses associated with intellectual disability, construct QOL profiles and evaluate membership by diagnostic group, function and comorbidities. METHOD: Primary caregivers of 526 children with intellectual disability (age 5-18 years) and a diagnosis of cerebral palsy, autism spectrum disorder, Down syndrome, CDKL5 deficiency disorder or Rett syndrome completed the Quality of Life Inventory-Disability (QI-Disability) questionnaire. Latent profile analysis of the QI-Disability domain scores was conducted. RESULTS: The mean (SD) total QOL score was 67.8 (13.4), ranging from 60.3 (14.6) for CDD to 77.5 (11.7) for Down syndrome. Three classes describing domain scores were identified: Class 1 was characterised by higher domain scores overall but poorer negative emotions scores; Class 2 by average to high scores for most domains but low independence scores; and Class 3 was characterised by low positive emotions, social interaction, and leisure and the outdoors scores, and extremely low independence scores. The majority of individuals with autism spectrum disorder and Down syndrome belonged to Class 1 and the majority with CDKL5 deficiency disorder belonged to Class 3. Those with better functional abilities (verbal communication and independent walking were predominately members of Class 1 and those with frequent seizures were more often members of Class 2 and 3. CONCLUSION: The profiles illustrated variation in QOL across a diverse group of children. QOL evaluations illustrate areas where interventions could improve QOL and provide advice to families as to where efforts may be best directed.

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14. MacLaughlin C, Booker S, Chatterji S, Hooker JM, Clark L, Müller CE. Special Issue Announcement: Insights in the Field of Autism and Neurodevelopmental Disorders. ACS Chem Neurosci;2022 (Aug 17);13(16):2349-2350.

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15. Ragni B, Boldrini F, Mangialavori S, Cacioppo M, Capurso M, De Stasio S. The Efficacy of Parent Training Interventions with Parents of Children with Developmental Disabilities. Int J Environ Res Public Health;2022 (Aug 5);19(15)

Parenting children with developmental disabilities (DD) can be generally characterized by a considerable psychological burden. The effects on parental and familial psychological well-being and, consequently, on children’s developmental outcomes should not be underestimated, especially in early childhood. The current review aims to advance our understanding of the key factors (e.g., formats, sample characteristics, research design) that characterize parent training interventions, and that could be related to their outcomes, to guide researchers and clinical practitioners to develop and provide efficient programs. Studies were identified via an Internet search from three electronic databases, following PRIMSA guidelines. Studies published until November 2021 were taken into account. The initial search yielded a total of 2475 studies. Among them, 101 studies were fully reviewed. Finally, ten of the studies, which met all the inclusion criteria, formed the basis for this review. Participants’ characteristics, main features of the interventions (i.e., study design, structure, and contents), outcome variables and treatment efficacy were deeply examined and discussed. Key factors of parent training interventions with parents of children affected by DD are enlightened, to guide researchers and clinicians in the design and implementation of tailored specific programs, aimed to sustain parenting and foster children’s developmental outcomes, from early stages of life.

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16. Ramappa S, Anderson A, Jung J, Chu R, Cummings KK, Patterson G, Okada NJ, Green SA. An Observed Assessment of Sensory Responsivity in Autism Spectrum Disorders: Associations with Diagnosis, Age, and Parent Report. J Autism Dev Disord;2022 (Aug 4)

Sensory features are common and impairing in autism spectrum disorder (ASD), but there are few observational sensory assessments that are valid across ages. We used the Sensory Processing 3-Dimensional (SP3-D) observed Assessment and parent-reported Inventory to examine sensory responsivity in 41 ASD and 33 typically-developing (TD) youth across 7-17 years. ASD youth had higher and more variable observed and reported sensory responsivity symptoms compared to TD, but the two measures were not correlated. Observed sensory over-responsivity (SOR) and sensory craving (SC) decreased with age in ASD, though SOR remained higher in ASD versus TD through adolescence. Results suggest that in ASD, the SP3-D Assessment can identify SOR through adolescence, and that there is value in integrating multiple sensory measures.

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17. Rong P, Fu Q, Zhang X, Liu H, Zhao S, Song X, Gao P, Ma R. A bibliometrics analysis and visualization of autism spectrum disorder. Front Psychiatry;2022;13:884600.

BACKGROUND: The prevalence of autism spectrum disorder (ASD) increased rapidly in the last 20 years. Although related research has developed rapidly, little is known about its etiology, diagnostic marker, or drug treatment, which forces researchers to review and summarize its development process and look for the future development direction. METHODS: We used bibliometrics to analyze papers of ASD in the Web of Science from 1998 to 2021, to draw the network of authors, institutions, countries, and keywords in the ASD field, and visualize the results. RESULTS: A total of 40,597 papers were included with a continually increasing trend. It turns out that the research on ASD is mainly concentrated in universities. The United States has the largest number of ASD studies, followed by England and Canada. The quality of papers related to ASD is generally high, which shows that ASD research has become a hot spot of scientific research. The keywords of ASD etiology and diagnostic markers can be classified into at least 7 aspects. The detection of keywords shows that ASD research is mostly based on its subtypes, takes children as the study population, focuses on neurodevelopmental imaging or genetics, and pays attention to individual differences. And ASD research has changed greatly under the impact of Corona Virus Disease 2019 in the past 2 years. CONCLUSION: We consider the future development direction should be based on the improvement of case identification, accurate clinical phenotype, large-scale cohort study, the discovery of ASD etiology and diagnostic markers, drug randomized controlled trials, and telehealth.

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18. Scheeren AM, Howlin P, Pellicano L, Magiati I, Begeer S. Continuity and change in loneliness and stress during the COVID-19 pandemic: A longitudinal study of autistic and non-autistic adults. Autism Res;2022 (Sep);15(9):1621-1635.

Previous studies have suggested that autistic adults may be negatively affected by the COVID-19 pandemic and its associated restrictions. In this study, we examined continuity and change in loneliness and stress, and their predictors, in 448 autistic and 70 non-autistic adults living in the Netherlands. Autistic participants were assessed on three occasions using the de Jong Gierveld Loneliness Scale and Perceived Stress Scale (pre-lockdown (T0), first lockdown (T1), and second lockdown (T2)); non-autistic participants were assessed twice (T1 and T2). Autistic adults’ loneliness and stress levels remained stable across all three time points over 8 months, but were consistently higher than those of non-autistic adults. Other predictors of higher loneliness and stress levels at the first lockdown (T1) included low perceived social support and high levels of COVID-19 related worries. Although loneliness and stress were stable at the group level, the wellbeing of some autistic adults worsened over the course of the pandemic, while others improved. For instance, adults with a mental health diagnosis (other than autism) prior to the pandemic were more likely to increase in stress over time, whereas adults with higher perceived social support were more likely to decrease in stress over time (from T1 to T2). Factors contributing to variability in outcome require further examination. Moreover, the relatively high loneliness and stress levels in autistic adults call for attention from clinicians and service providers. LAY SUMMARY: In our study, autistic adults reported feeling more lonely and stressed than non-autistic adults during the COVID-19 pandemic. People who missed support from their social network also felt more lonely and stressed. On average, people did not change substantially in their degree of loneliness or stress over time. Yet, we noted large person-to-person differences in the wellbeing of autistic adults during the pandemic.

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19. Shevchuk-Hill S, Szczupakiewicz S, Kofner B, Gillespie-Lynch K. Comparing narrative writing of autistic and non-autistic College students. J Autism Dev Disord;2022 (Aug 4)

We compared short stories by autistic (n = 19) and non-autistic (n = 23) university students. We used automated software and content analysis to code students’ stories. We found that writings were more similar than different. However, autistic students’ stories were rated at a higher reading level (p = .013) than non-autistic students’. Autistic students’ stories contained fewer grammatical errors (p = .02) but were less likely to include a climax (p = .026). Autistic students reported more positive writing affect than non-autistic students (p = .026). Higher writing affect was associated with writing highly fictional texts (p = .03) that contained more sentences (p = .005). Findings suggest writing may be a strength for autistic students and opportunities to write creatively may promote positive affect toward writing.

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20. Shiota Y, Soma D, Hirosawa T, Yoshimura Y, Tanaka S, Hasegawa C, Yaoi K, Iwasaki S, Kameya M, Yokoyama S, Kikuchi M. Alterations in brain networks in children with sub-threshold autism spectrum disorder: A magnetoencephalography study. Front Psychiatry;2022;13:959763.

Individuals with sub-threshold autism spectrum disorder (ASD) are those who have social communication difficulties but do not meet the full ASD diagnostic criteria. ASD is associated with an atypical brain network; however, no studies have focused on sub-threshold ASD. Here, we used the graph approach to investigate alterations in the brain networks of children with sub-threshold ASD, independent of a clinical diagnosis. Graph theory is an effective approach for characterizing the properties of complex networks on a large scale. Forty-six children with ASD and 31 typically developing children were divided into three groups (i.e., ASD-Unlikely, ASD-Possible, and ASD-Probable groups) according to their Social Responsiveness Scale scores. We quantified magnetoencephalographic signals using a graph-theoretic index, the phase lag index, for every frequency band. Resultantly, the ASD-Probable group had significantly lower small-worldness (SW) in the delta, theta, and beta bands than the ASD-Unlikely group. Notably, the ASD-Possible group exhibited significantly higher SW than the ASD-Probable group and significantly lower SW than the ASD-Unlikely group in the delta band only. To our knowledge, this was the first report of the atypical brain network associated with sub-threshold ASD. Our findings indicate that magnetoencephalographic signals using graph theory may be useful in detecting sub-threshold ASD.

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21. Sipowicz K, Podlecka M, Mokros Ł, Pietras T, Łuczyńska K. Being an adult sibling of an individual with autism spectrum disorder may be a predictor of loneliness and depression – Preliminary findings from a cross-sectional study. Front Psychol;2022;13:915915.

BACKGROUND: The aim of this study is to compare depression and loneliness among adult siblings of people on the autism spectrum, adult siblings of normotypic individuals, and adults raised alone (only child). In recent years, an increasing interest in the perspective of siblings of children diagnosed with autism has been observed, with studies among this population particularly concerned with the developmental trajectories of children and adolescents at « high risk » for ASD, rarely focusing on their mental well-being. METHODS: The respondents filled out: the survey on sociodemographic data designed by the authors, Beck Depression Inventory II (BDI, measure of depression), and De Jong Gierveld Loneliness Scale (DJGLS, assessment of loneliness). RESULTS: A rise in BDI and an increase in the DJGLS score were predicted by having a sibling diagnosed with ASD. Those effects were independent of subjects’ sex, educational status, place of residence, or a number of siblings. CONCLUSION: The results underline a fundamental need for the development of mental hygiene programs for families where children with autism spectrum are accompanied by healthy siblings.

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22. Smith E, Stogios N, Au E, Maksyutynska K, De R, Ji A, Erlang Sørensen M, St John L, Lin HY, Desarkar P, Lunsky Y, Remington G, Hahn M, Agarwal SM. The metabolic adverse effects of antipsychotic use in individuals with intellectual and/or developmental disability: A systematic review and meta-analysis. Acta Psychiatr Scand;2022 (Sep);146(3):201-214.

OBJECTIVE: Individuals with intellectual and/or developmental disability (IDD) are often prescribed antipsychotics (APs). However, despite their known propensity to cause metabolic adverse effects, including weight gain, diabetes, and increased risk of cardiovascular events, there is currently a limited body of literature describing the metabolic consequences of AP use in this population. METHODS: We searched MEDLINE, EMBASE, PsychINFO, CENTRAL, and CINAHL databases to identify all randomized trials that reported on the metabolic effects of APs in individuals with IDD. Random effects meta-analyses were used to examine weight gain as both a continuous and dichotomous outcome. RESULTS: Eighteen randomized trials met our inclusion criteria with a total of 1376 patients across a variety of IDDs. AP use was associated with significantly greater weight gain compared with placebo (Continuous: mean difference = 1.10 kg, [0.79, 1.40], p < 0.00001, I(2) = 54%; Dichotomous: odds ratio = 3.94, [2.15, 7.23], p < 0.00001, I(2) = 0). Sub-group analysis revealed no significant effect of AP type. Data regarding the effects of APs on other metabolic outcomes were limited. CONCLUSION: This review (PROSPERO # CRD42021255558) demonstrates that AP use is associated with significant weight gain among patients with IDD. Concerningly, most reported studies were in children and adolescents, which sets up an already vulnerable population for adverse medical sequalae at an early age. There was also a lack of long-term studies in adults with IDD. Further studies are required to better understand how AP use affects metabolic parameters in this group of individuals.

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23. Sreckovic MA, Kenney CK, Wallace M. Autism Training for Law Enforcement Officers: A Scoping Review. J Autism Dev Disord;2022 (Aug 4)

Law enforcement officers are the primary individuals called and who respond to situations of heightened concern. They make split-second observations and decisions based on how best to react to given safety situations and those involved. Characteristics of autism spectrum disorders (ASD), if not properly understood and reacted to, may quickly escalate a law enforcement officer call in a negative way, making autism training for law enforcement officers imperative. To ascertain what is known about autism training for law enforcement officers, a scoping review was conducted. Five studies met final inclusion criteria. The trainees, context and development of the training, evaluation procedures, and training outcomes are synthesized to provide guidance for future training implementation teams. Areas for future research are presented.

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24. Strang CC, Harris A, Moody EJ, Reed CL. Peak frequency of the sensorimotor mu rhythm varies with autism-spectrum traits. Front Neurosci;2022;16:950539.

Autism spectrum disorder (ASD) is a neurodevelopmental syndrome characterized by impairments in social perception and communication. Growing evidence suggests that the relationship between deficits in social perception and ASD may extend into the neurotypical population. In electroencephalography (EEG), high autism-spectrum traits in both ASD and neurotypical samples are associated with changes to the mu rhythm, an alpha-band (8-12 Hz) oscillation measured over sensorimotor cortex which typically shows reductions in spectral power during both one’s own movements and observation of others’ actions. This mu suppression is thought to reflect integration of perceptual and motor representations for understanding of others’ mental states, which may be disrupted in individuals with autism-spectrum traits. However, because spectral power is usually quantified at the group level, it has limited usefulness for characterizing individual variation in the mu rhythm, particularly with respect to autism-spectrum traits. Instead, individual peak frequency may provide a better measure of mu rhythm variability across participants. Previous developmental studies have linked ASD to slowing of individual peak frequency in the alpha band, or peak alpha frequency (PAF), predominantly associated with selective attention. Yet individual variability in the peak mu frequency (PMF) remains largely unexplored, particularly with respect to autism-spectrum traits. Here we quantified peak frequency of occipitoparietal alpha and sensorimotor mu rhythms across neurotypical individuals as a function of autism-spectrum traits. High-density 128-channel EEG data were collected from 60 participants while they completed two tasks previously reported to reliably index the sensorimotor mu rhythm: motor execution (bimanual finger tapping) and action observation (viewing of whole-body human movements). We found that individual measurement in the peak oscillatory frequency of the mu rhythm was highly reliable within participants, was not driven by resting vs. task states, and showed good correlation across action execution and observation tasks. Within our neurotypical sample, higher autism-spectrum traits were associated with slowing of the PMF, as predicted. This effect was not likely explained by volume conduction of the occipitoparietal PAF associated with attention. Together, these data support individual peak oscillatory alpha-band frequency as a correlate of autism-spectrum traits, warranting further research with larger samples and clinical populations.

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25. Thomas RP, Wittke K, Blume J, Mastergeorge AM, Naigles L. Predicting Language in Children with ASD Using Spontaneous Language Samples and Standardized Measures. J Autism Dev Disord;2022 (Aug 5)

This longitudinal study examined the degree to which standardized measures of language and natural language samples predicted later language usage in a heterogeneous sample of children with autism spectrum disorder (ASD), and how this relationship is impacted by ASD severity and interventions. Participants with a diagnosis of ASD (N = 54, 41 males) completed standardized assessments of language and social functioning; natural language samples were transcribed from play-based interactions. Findings indicated that standardized language measures, natural language measures, and ADOS severity were each unique predictors of later lexical use. Intervention types also appeared to impact later language; in particular, participation in mainstream inclusion accounted for significant amounts of variance in children’s mean length of utterance at T3.

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26. Tsuji Y, Imaizumi S, Sugawara M, Oiji A. Internalizing problems and suffering due to sensory symptoms in children and adolescents with and without autism spectrum disorder. Front Psychol;2022;13:872185.

Sensory symptoms are common in autism spectrum disorder (ASD). Previous studies have shown a positive correlation between sensory symptoms and internalizing problems; however, the role of the suffering due to sensory symptoms is not well understood. In the present study, we hypothesized that the relationship between sensory symptoms and internalizing problems in children is mediated by children’s and surrounding people’s suffering due to sensory symptoms. Parents of 113 students aged 6-15 years with and without ASD completed questionnaires about their children’s autistic traits, sensory symptoms, suffering due to sensory symptoms, and internalizing problems. The results showed that autistic traits and sensory symptoms were distributed as a continuum throughout children with and without ASD. Therefore, we investigated the relationship among variables in children with and without ASD attending regular classes. Structural equation modeling indicated that those who scored higher on sensory symptoms demonstrated greater suffering due to sensory symptoms as predictors of internalizing problems. Our findings provide evidence for developing a support system that specifically reduces suffering due to sensory symptoms, especially for students in regular classes.

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27. Yang D, Zhao Y, Nie B, An L, Wan X, Wang Y, Wang W, Cai G, Wu S. Progress in magnetic resonance imaging of autism model mice brain. Wiley Interdiscip Rev Cogn Sci;2022 (Aug 5):e1616.

Autism spectrum disorder (ASD) is a neurodevelopmental disease characterized by social disorder and stereotypical behaviors with an increasing incidence. ASD patients are suffering from varying degrees of mental retardation and language development abnormalities. Magnetic resonance imaging (MRI) is a noninvasive imaging technology to detect brain structural and functional dysfunction in vivo, playing an important role in the early diagnosisbasic research of ASD. High-field, small-animal MRI in basic research of autism model mice has provided a new approach to research the pathogenesis, characteristics, and intervention efficacy in autism. This article reviews MRI studies of mouse models of autism over the past 20 years. Reduced gray matter, abnormal connections of brain networks, and abnormal development of white matter fibers have been demonstrated in these studies, which are present in different proportions in the various mouse models. This provides a more macroscopic view for subsequent research on autism model mice. This article is categorized under: Cognitive Biology > Genes and Environment Neuroscience > Computation Neuroscience > Genes, Molecules, and Cells Neuroscience > Development.

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