1. Baghdadli A, Picot MC, Miot S, Munir K. {{A Call to Action to Implement Effective COVID-19 Prevention and Screening of Individuals with Severe Intellectual Developmental and Autism Spectrum Disorders}}. {J Autism Dev Disord};2020 (Sep 30):1-3.
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2. Bezemer ML, Blijd-Hoogewys EMA, Meek-Heekelaar M. {{The Predictive Value of the AQ and the SRS-A in the Diagnosis of ASD in Adults in Clinical Practice}}. {J Autism Dev Disord};2020 (Oct 1)
Questionnaires are widely used in autism assessment. However, their psychometric properties are generally not evaluated in clinical practice, and the comparability and applicability of such research is limited because questionnaires are often not simultaneously evaluated. This certainly pertains to predictive values which are highly population and setting specific. This study evaluated the power of AQ and SRS-A in predicting an ASD diagnosis within the same clinical population. The patient records of 92 adults, referred for autism assessment, were analyzed. The AQ proved somewhat better than the SRS-A at discriminating and predicting autism. The predictive values of both questionnaires were lower than reported in general population studies. Psychometric results in core publications appear less representative for clinical practice.
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3. Brady NC, Fleming K, Bredin-Oja SL, Fielding-Gebhardt H, Warren SF. {{Language Development From Early Childhood to Adolescence in Youths With Fragile X Syndrome}}. {J Speech Lang Hear Res};2020 (Oct 1):1-16.
Purpose The aim of this study was to investigate language growth in individuals with fragile X syndrome (FXS) from early childhood to adolescence and the influence of maternal responsivity on language growth. Method We conducted a longitudinal analysis of language development in 55 youths (44 males, 11 females) with FXS. Data collection spanned the ages of 11-216 months. We measured expressive and receptive vocabulary with standardized tests. The number of different words and mean length of utterance were obtained from language sample analyses of mother-child interactions. We also measured maternal comments (responsivity indicator) produced during the language samples and child nonverbal IQ. Results Growth models indicated that rates of number of different words and receptive vocabulary were related to maternal commenting. Mean length of utterance did not change significantly over time. Expressive vocabulary measured with a standardized test grew, but the growth was not related to maternal commenting. Nonverbal IQ was related to all language outcomes at age of 10 years and to changes over time in vocabulary. Visual analysis indicated that the highest scores on standardized tests were produced by girls; however, measures derived from language sample analyses appeared similar for boys and girls. Language models for boys only were similar to the total sample models with lower scores at age of 10 years for some outcomes. Conclusion Results of persistent language impairments for most youths with FXS suggest the need for continued, focused interventions aimed at improved language productions in addition to a responsive environment. Supplemental Material https://doi.org/10.23641/asha.13022825.
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4. Burton JM, Creaghead NA, Silbert N, Breit-Smith A, Duncan AW, Grether SM. {{Social Communication and Structural Language of Girls With High-Functioning Autism Spectrum Disorder}}. {Lang Speech Hear Serv Sch};2020 (Oct 2);51(4):1139-1155.
Purpose The purpose of this study was to characterize social communication and structural language of school-age girls with high-functioning autism spectrum disorder (HF-ASD) compared to a matched group of girls who are typically developing (TD). Method Participants were 37 girls between 7;5 and 15;2 (years;months)-18 HF-ASD and 19 TD. Children completed the Test of Pragmatic Language-Second Edition (TOPL-2) and Clinical Evaluation of Language Fundamentals-Fifth Edition. Parents completed the Children’s Communication Checklist-2 United States Edition (CCC-2) and Receptive and Expressive Communication subdomains of the Vineland Adaptive Behavior Scales-Second Edition. Results In the area of social communication, girls with HF-ASD earned significantly lower scores and were more often classified as having an impairment on the TOPL-2 and the CCC-2. However, 28% and 33% earned average scores on the TOPL-2 and the CCC-2, respectively. In the area of structural language, no significant differences were found between groups on Clinical Evaluation of Language Fundamentals-Fifth Edition indexes. In contrast, girls with HF-ASD earned significantly lower scores and were more often classified as having an impairment on the Vineland Adaptive Behavior Scales-Second Edition. Sixty-one percent and 83% scored below average on the Receptive and Expressive Communication subdomains, respectively. Conclusions It has been argued that girls with HF-ASD, when compared to boys with HF-ASD, may have advantages for social communication and structural language that mask their impairments. However, when compared to girls who are TD, girls with HF-ASD demonstrated impaired social communication and structural language. Clinicians should include and carefully examine multiple sources of information when assessing girls with HF-ASD.
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5. Cristian FB, Köppel A, Janssen J, Utikal JS, Rappold GA, Berkel S. {{Generation of two hiPSC lines from a patient with autism spectrum disorder harboring a 120 kb deletion in SHANK2 and two control lines from each parent}}. {Stem Cell Res};2020 (Sep 19);49:102004.
Two human induced pluripotent stem cell lines (hiPSC) were generated by reprogramming fibroblasts isolated from a skin biopsy taken from a female patient diagnosed with autism spectrum disorder (ASD) and intellectual disability (ID). This patient harbors a de novo 120 kb deletion in SHANK2. As controls, four lines were generated in a similar manner from fibroblasts isolated from each of her parents, two clones per parent. All reported hiPSC lines have a normal karyotype, express pluripotency markers and have the ability to differentiate into all three germ layers.
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6. de Belen RAJ, Bednarz T, Sowmya A, Del Favero D. {{Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019}}. {Transl Psychiatry};2020 (Sep 30);10(1):333.
The current state of computer vision methods applied to autism spectrum disorder (ASD) research has not been well established. Increasing evidence suggests that computer vision techniques have a strong impact on autism research. The primary objective of this systematic review is to examine how computer vision analysis has been useful in ASD diagnosis, therapy and autism research in general. A systematic review of publications indexed on PubMed, IEEE Xplore and ACM Digital Library was conducted from 2009 to 2019. Search terms included [‘autis*’ AND (‘computer vision’ OR ‘behavio* imaging’ OR ‘behavio* analysis’ OR ‘affective computing’)]. Results are reported according to PRISMA statement. A total of 94 studies are included in the analysis. Eligible papers are categorised based on the potential biological/behavioural markers quantified in each study. Then, different computer vision approaches that were employed in the included papers are described. Different publicly available datasets are also reviewed in order to rapidly familiarise researchers with datasets applicable to their field and to accelerate both new behavioural and technological work on autism research. Finally, future research directions are outlined. The findings in this review suggest that computer vision analysis is useful for the quantification of behavioural/biological markers which can further lead to a more objective analysis in autism research.
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7. Garrido D, Petrova D, Cokely E, Carballo G, Garcia-Retamero R. {{Parental Risk Literacy is Related to Quality of Life in Spanish Families of Children with Autism Spectrum Disorder}}. {J Autism Dev Disord};2020 (Sep 30)
Families of children with autism spectrum disorder (ASD) often experience much more negative perceptions of their family quality of life (FQoL). To investigate key factors that may shape these experiences, we conducted a case-control study of sixty-one Spanish families (29 with a child with ASD) using a broad psychosocial assessment (e.g., ASD severity, social support, demographics), including the first direct test of the relationship between FQoL and parental risk literacy (i.e., the ability to evaluate and understand risk, as measured by numeracy). Results revealed that numeracy was associated with differences in perceived FQoL among families of children with ASD (R(2) = .10), a finding that held across several models statistically controlling for the influence of other variables. Findings suggest that parental risk literacy skills may generally be associated with differences in decision making vulnerabilities (e.g., risk evaluation and interpretation) that influence family outcomes including FQoL.
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8. Huggins CF, Cameron IM, Williams JHG. {{Autistic traits predict underestimation of emotional abilities}}. {J Exp Psychol Gen};2020 (Oct 1)
People vary in their self-awareness of their own emotions, and this may predict psychological well-being. Evidence suggests that emotional self-awareness is diminished in autism, but these findings may be biased by self-report or confounded by verbal intelligence. To address this issue, we developed the emotional consistency (EC) task, measuring emotional self-awareness through consistency in emotional decision-making. In the EC-Task, we showed participants pairs of emotional images, asking them to judge which evoked the more intense emotional experience. The logical consistency of decision making, based on transitive relationships between stimuli, reflects precision of judgment of experience of emotional intensity, which in turn reflects emotional self-awareness. Emotional consistency significantly correlated with lower self-reported alexithymia but not autistic traits. Instead, autistic traits predicted greater discrepancy between EC-Task performance and self-reported difficulties identifying feelings. Participants with higher autistic traits were more likely to underestimate their emotional self-awareness, possibly because of greater metacognitive difficulties and negative self-beliefs. Our study suggests emotional self-awareness is not diminished in autism and provides a novel method to investigate this issue. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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9. Jones DR, Mandell DS. {{To address racial disparities in autism research, we must think globally, act locally}}. {Autism};2020 (Oct);24(7):1587-1589.
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10. Mazurek MO, Carlson C, Baker-Ericzén M, Butter E, Norris M, Barr C, Kanne S. {{The Autism Impact Measure (AIM): Examination of Sensitivity to Change}}. {Autism Res};2020 (Oct 1)
The Autism Impact Measure (AIM) was designed specifically for treatment-outcome assessment in children with ASD, focusing on treatment-relevant aspects of symptom presentation and efficient detection of short-term improvement. The AIM demonstrated strong reliability and validity in initial psychometric studies. The current study evaluated the AIM’s sensitivity to change across well-established treatments. The sample included 471 children with ASD (ages 2-14) participating in one of six treatments. The AIM was administered at baseline and 6-week intervals and a battery of domain-specific concurrent measures was also administered. A longitudinal repeated measures design examined the degree to which: (a) AIM domain scores changed over time in response to treatment and (b) change in AIM domains was associated with change in measures of similar constructs. Results across growth curve models indicated that AIM domains are sensitive to change in symptoms across treatment. Across all models, symptoms decreased over time, with some deceleration in rate of improvement. For all AIM domains except Repetitive Behavior, symptoms improved as a function of treatment group. Correlations of change between AIM and other measures varied across domains (from 0.01-0.43 across measures). This was the first large-scale study to systematically evaluate sensitivity to change in a measure of core ASD symptoms. The results provide support for the AIM’s ability to detect short-term improvement across symptom domains and indicate that AIM domains are sensitive to change overall and as a function of different treatment conditions. The brief repeated assessment window also highlights the AIM’s utility for detecting improvements across short-term treatments. LAY SUMMARY: Good measures are important for assessing outcomes in children with autism. However, there are few tools for tracking short-term changes in autism symptoms. This study tested a new measure, the Autism Impact Measure (AIM), in a large group of children with autism. The results showed that the AIM appears to be a valid and accurate tool for measuring autism symptoms. The AIM may be a helpful tool for researchers and clinicians interested in tracking short-term improvements in autism symptoms.
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11. Perryman T, Ricks L, Cash-Baskett L. {{Meaningful Transitions: Enhancing Clinician Roles in Transition Planning for Adolescents With Autism Spectrum Disorders}}. {Lang Speech Hear Serv Sch};2020 (Oct 2);51(4):899-913.
Purpose The purpose of this tutorial is to provide speech-language pathologists (SLPs) with foundational information that will assist them in transition planning for students with autism spectrum disorder (ASD) based on a review of current literature. SLPs must be knowledgeable of transition planning in order to assist students with ASD and their families with preparing for their future. An appreciation and awareness of pertinent assessments, functional goals, and factors associated with successful postsecondary outcomes are essential competencies that SLPs need when planning for the transition process. SLPs are ideal workforce development partners. They facilitate independence, communication, and interaction skills necessary for postsecondary and workplace success. Speech-language services are one of the most common special education services received by high school students with Individualized Education Programs. However, SLPs receive little preparation on the specifics or nuances of transition planning prior to working in the educational settings, despite the high incidence of speech-language services in secondary education. Method This tutorial reviews and synthesizes research findings related to assessment planning, goal-setting, and Individualized Education Program implementation for achieving meaningful postsecondary transitions for students with ASD. Additionally, it highlights some of the key postsecondary skillsets related to speech-language therapy services, including the development of self-determination, self-advocacy, social competence, and adaptive behaviors. Conclusion Greater focus on higher quality transition planning requires SLPs to develop high levels of knowledge and competencies in the transition planning process. This tutorial educates clinicians on the unique challenges faced by individuals with ASD and provides evidence-based strategies to help students and families successfully plan for and navigate postsecondary transitions.
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12. Solomon M, Gordon A, Iosif AM, Geddert R, Krug MK, Mundy P, Hessl D. {{Using the NIH Toolbox to Assess Cognition in Adolescents and Young Adults with Autism Spectrum Disorders}}. {Autism Res};2020 (Oct 2)
Despite the clinically significant impact of executive dysfunction on the outcomes of adolescents and young adults with autism spectrum disorders (ASD), we lack a clear understanding of its prevalence, profile, and development. To address this gap, we administered the NIH Toolbox Cognition Battery to a cross-sectional Intelligence Quotient (IQ) case-matched cohort with ASD (n = 66) and typical development (TD; n = 66) ages 12-22. We used a general linear model framework to examine group differences in task performance and their associations with age. Latent profile analysis (LPA) was used to identify subgroups of individuals with similar cognitive profiles. Compared to IQ case-matched controls, ASD demonstrated poorer performance on inhibitory control (P < 0.001), cognitive flexibility (P < 0.001), episodic memory (P < 0.02), and processing speed (P < 0.001) (components of Fluid Cognition), but not on vocabulary or word reading (components of Crystallized Cognition). There was a significant positive association between age and Crystallized and Fluid Cognition in both groups. For Fluid (but not Crystallized) Cognition, ASD performed more poorly than TD at all ages. A four-group LPA model based on subtest scores best fit the data. Eighty percent of ASD belonged to two groups that exhibited relatively stronger Crystallized versus Fluid Cognition. Attention deficits were not associated with Toolbox subtest scores, but were lowest in the group with the lowest proportion of autistic participants. Adaptive functioning was poorer in the groups with the greatest proportion of autistic participants. Autistic persons are especially impaired on Fluid Cognition, and this more flexible form of thinking remains poorer in the ASD group through adolescence. LAY SUMMARY: A set of brief tests of cognitive functioning called the NIH Toolbox Cognition Battery was administered to adolescents and young adults with autism spectrum disorders (ASD; n = 66) and typical development (TD; n = 66) ages 12-22 years. Compared to TD, ASD showed poorer performance in inhibiting responses, acting flexibly, memorizing events, and processing information quickly (Fluid Cognition). Groups did not differ on vocabulary or word reading (Crystallized Cognition). Crystallized and Fluid Cognition increased with age in both groups, but the ASD group showed lower Fluid, but not Crystallized, Cognition than TD at all ages. A categorization analysis including all participants showed that most participants with ASD fell into one of two categories: a group characterized by poor performance across all tasks, or a group characterized by relatively stronger Crystallized compared to Fluid Cognition. Adaptive functioning was poorer for participants in these groups, which consisted of mostly individuals with ASD, while ADHD symptoms were lowest in the group with the greatest proportion of TD participants. Lien vers le texte intégral (Open Access ou abonnement)
13. Stefanou ME, Dundon NM, Bestelmeyer PEG, Ioannou C, Bender S, Biscaldi M, Smyrnis N, Klein C. {{Late attentional processes potentially compensate for early perceptual multisensory integration deficits in children with autism: evidence from evoked potentials}}. {Sci Rep};2020 (Sep 30);10(1):16157.
Sensory processing deficits and altered long-range connectivity putatively underlie Multisensory Integration (MSI) deficits in Autism Spectrum Disorder (ASD). The present study set out to investigate non-social MSI stimuli and their electrophysiological correlates in young neurotypical adolescents and adolescents with ASD. We report robust MSI effects at behavioural and electrophysiological levels. Both groups demonstrated normal behavioural MSI. However, at the neurophysiological level, the ASD group showed less MSI-related reduction of the visual P100 latency, greater MSI-related slowing of the auditory P200 and an overall temporally delayed and spatially constrained onset of MSI. Given the task design and patient sample, and the age of our participants, we argue that electro-cortical indices of MSI deficits in ASD: (a) can be detected in early-adolescent ASD, (b) occur at early stages of perceptual processing, (c) can possibly be compensated by later attentional processes, (d) thus leading to normal MSI at the behavioural level.
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14. Su L, Chen C, Lu L, Xiang AH, Dodds L, He K. {{Association Between Gestational Weight Gain and Autism Spectrum Disorder in Offspring: A Meta-Analysis}}. {Obesity (Silver Spring)};2020 (Oct 1)
OBJECTIVE: This study aimed to quantitatively examine the association between gestational weight gain (GWG) and risk of autism spectrum disorder (ASD) in offspring. METHODS: Electronic databases were searched for studies of excessive or inadequate GWG, as compared with recommended GWG, in relation to the risk of ASD in offspring. Measures of the association from primary studies were pooled using a meta-analytic approach and expressed as weighted odds ratios (ORs) with 95% CIs. RESULTS: Nine studies were identified, including 323,253 participants with 4,135 cases of ASD from five cohort studies and 1,462 cases and 3,265 controls from four case-control studies. Evidence from cohort studies indicates that both excessive and inadequate GWG was significantly associated with a higher risk for ASD in offspring. The pooled OR of ASD was 1.10 (95% CI: 1.02-1.18) for excessive GWG and 1.13 (95% CI: 1.04-1.24) for inadequate GWG using recommended GWG as the reference. Evidence from case-control studies suggests that excessive GWG (1.38 [95% CI: 1.19-1.62]) but not inadequate GWG (0.87 [95% CI: 0.72-1.04]) was significantly associated with a higher risk for ASD. CONCLUSIONS: The accumulated evidence has supported that gaining weight outside the recommended GWG is associated with a higher risk for ASD in offspring.
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15. Tarver J, Pearson E, Edwards G, Shirazi A, Potter L, Malhi P, Waite J. {{Anxiety in autistic individuals who speak few or no words: A qualitative study of parental experience and anxiety management}}. {Autism};2020 (Oct 1):1362361320962366.
Anxiety is a common condition in autistic individuals, including those who also have an intellectual disability. Despite this, autistic individuals who have severe to profound intellectual disability, or use few or no words, are often excluded from autism research. There are also very few assessment tools and interventions with known effectiveness for autistic individuals with intellectual disability. In this study, we aimed to learn more about parent/carers experiences of recognising and managing anxiety in autistic individuals who use few or no words. We conducted semi-structured interviews with parents and carers to address three research questions: (1) what techniques and management strategies do parents describe for anxiety-related behaviour in their child; (2) how do communication difficulties impact parental understanding and management of anxiety provoking situations and behaviours; (3) what is the impact of anxiety-related behaviours on the quality of life of autistic individuals and their families? During the interviews, parents described difficulties recognising anxiety in their child, mostly due to reduced verbal language use and anxiety behaviours overlapping with other behaviours (e.g. autism characteristics). However, parents also described use of a number of management strategies, including some which overlap with components of evidence-based interventions for emotional and behavioural problems in autistic individuals (e.g. exposure/sensory calming). Despite this, parents reported that anxiety continues to have significant impact on quality of life. We will use the findings of this study to inform future research to develop assessment tools and interventions for anxiety in autistic individuals who use few or no words.
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16. Wallis KE, Buttenheim AM, Mandell DS. {{Insights from Behavioral Economics: A Case of Delayed Diagnosis of Autism Spectrum Disorder}}. {J Dev Behav Pediatr};2020 (Sep 28)
We present the case of a child of color diagnosed with autism spectrum disorder (ASD) at 67 months of age. Drawing from behavioral economics, we used this case to explore errors in decision-making by clinicians and family members and structural factors that may have delayed ASD diagnosis well beyond the national average.
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17. Wang H, Suveg C, West KB, Han ZR, Zhang X, Hu X, Yi L. {{Synchrony of Respiratory Sinus Arrhythmia in Parents and Children with Autism Spectrum Disorder: Moderation by Interaction Quality and Child Behavior Problems}}. {Autism Res};2020 (Oct 1)
Parent-child physiological synchrony, the matching of physiological states between parents and children, is theorized to be important for typically developing (TD) children, but less is known about this process in families of children with autism spectrum disorder (ASD). In a sample of 29 children (M age = 8.00 years, SD = 1.51 years) with ASD and 39 TD-matched children (M age = 7.32 years, SD = 1.36 years) and their primary caregivers (n = 68), we examined whether parent-child dyads showed physiological synchrony indexed by respiratory sinus arrhythmia (RSA) during an interaction, and whether RSA synchrony differed by parent-child interaction quality and child behavior problems. Results indicated that dyads with TD children showed stronger positive RSA synchrony than dyads with children with ASD. Furthermore, for families of children with ASD, RSA synchrony was stronger in families with higher interaction quality and fewer child internalizing problems. These results provide preliminary evidence of parent-child RSA synchrony in families of children with ASD and identify factors that may influence this physiological process. Implications of these findings for social and emotional development in children with ASD are discussed. LAY SUMMARY: Parents and children can get « in tune » with one another at the biological level – a process called physiological synchrony. We studied physiological synchrony in families of children with autism spectrum disorder (ASD) in comparison to same-aged children who had no mental health disorders. We also examined how physiological synchrony might be associated with parent-child interaction quality and child behavior problems. We found that families with a child with ASD showed weaker physiological synchrony than families with a child who was typically developing. Further, we found that physiological synchrony was stronger when parents and children with ASD showed higher interaction quality and when children with ASD had lower internalizing problems. These findings contribute to our understanding of family functioning in the context of ASD and have potential implications for future work.
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18. Wang X, Jing J. {{[The role of empathy in altruism of children with autism spectrum disorder]}}. {Zhonghua Er Ke Za Zhi};2020 (Oct 2);58(10):854-857.
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19. Zheng Z, Zheng P, Zou X. {{Peripheral Blood S100B Levels in Autism Spectrum Disorder: A Systematic Review and Meta-Analysis}}. {J Autism Dev Disord};2020 (Oct 2)
The S100 calcium-binding protein beta subunit (S100B) protein, which mostly exists in the central nervous system, is commonly noted as a marker of neuronal damage. We conducted the first systematic review with meta-analysis to compare peripheral blood S100B levels in individuals with ASD with those in healthy controls. A systematic search was carried out for studies published before May 5, 2020. In total, this meta-analysis involved ten studies with 822 participants and 451 cases. The meta-analysis revealed that individuals with ASD had higher peripheral blood S100B levels than healthy controls [standardized mean difference (SMD) = 0.97, 95% confidence interval (95% CI) = 0.41-1.53; p < 0.001]. Peripheral blood S100B levels may have potential as a useful biomarker for ASD. Lien vers le texte intégral (Open Access ou abonnement)
