1. Altschuler M, Sideridis G, Kala S, Warshawsky M, Gilbert R, Carroll D, Burger-Caplan R, Faja S. {{Measuring Individual Differences in Cognitive, Affective, and Spontaneous Theory of Mind Among School-Aged Children with Autism Spectrum Disorder}}. {J Autism Dev Disord}. 2018.
The present study examined individual differences in theory of mind (ToM) among a group of 60 children (7-11 years-old) with autism spectrum disorder (ASD) and average intelligence. Using open-ended and structured tasks to measure affective ToM, cognitive ToM, and spontaneous social attribution, we explored the nature of ToM and assessed whether ToM predicts the phenotypic heterogeneity in ASD through structural equation modeling. Affective ToM uniquely predicted social symptom severity, whereas no ToM types predicted parent reported social functioning. Our findings suggest that differentiating among theoretical components is crucial for future ToM research in ASD, and ToM challenges related to reasoning about others’ emotions may be particularly useful in distinguishing children with worse social symptoms of ASD.
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2. Anderson C, Butt C. {{Young Adults on the Autism Spectrum: The Struggle for Appropriate Services}}. {J Autism Dev Disord}. 2018.
In the United States, young adults with an autism spectrum disorder (ASD) lose federally mandated supports upon leaving high school. To arrange adult services, families must prove their young adult’s eligibility and find competent service providers. National-level statistics regarding receipt of appropriate adult services are discouraging, but little is known about families’ lived experience with regard to services. Therefore, qualitative interviews focused on the search for and satisfaction with adult services were conducted with parents of young adults with ASD, then analyzed using the constant comparative method. Emergent themes included Bureaucracy and Fighting for Access, Staffing Issues, Program Suitability, and « Doing It Yourself. » The need to improve service access and delivery is discussed, as are issues facing specific ASD subgroups.
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3. Ben-Sasson A, Atun-Einy O, Yahav-Jonas G, Lev-On S, Gev T. {{Training Physical Therapists in Early ASD Screening}}. {J Autism Dev Disord}. 2018.
Physical therapists (PTs) are often one of the first professionals to evaluate children at risk. To examine the effect of an early screening training on pediatric PTs’: (1) knowledge of autism spectrum disorder (ASD), (2) clinical self-efficacy, and (3) identification of markers. Twenty-six PTs participated in a 2-day « Early ASD Screening » workshop. The ASD Knowledge and Self-Efficacy Questionnaire, and video case study analysis were completed pre- and post-training. Changes following training were significant for ASD knowledge related to etiology and learning performance, early signs, risk factors, and clinical self-efficacy. Rating the videoed case study after the training, was significantly more accurate than it was before. Training PTs is important for enhancing early identification of ASD.
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4. Bontinck C, Warreyn P, Demurie E, Bruyneel E, Boterberg S, Roeyers H. {{Social Interactions Between 24-Month-Old Children and Their Older Sibling with Autism Spectrum Disorder: Characteristics and Association with Social-Communicative Development}}. {J Autism Dev Disord}. 2018.
This study compared sibling interactions between 24-month-old children and their older sibling with ASD (high-risk; n = 24) with 24-month-old children and their typically developing older sibling (low-risk; n = 32). First, high-risk sibling pairs showed lower levels of positive behaviour and younger siblings of children with ASD imitated their older sibling less. Second, in the high-risk group positive interactions were positively associated with the youngest child’s language abilities. However, this association was no longer significant after controlling for language abilities at 14 months. Third, more total interactions in the high-risk group, both negative and positive, were associated with more ASD characteristics. Thus, early sibling interactions might reveal interesting information in light of the (atypical) developmental trajectories of younger siblings of children with ASD.
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5. Gerald B, Ramsey K, Belnap N, Szelinger S, Siniard AL, Balak C, Russell M, Richholt R, De Both M, Claasen AM, Schrauwen I, Huentelman MJ, Craig DW, Rangasamy S, Narayanan V. {{Neonatal epileptic encephalopathy caused by de novo GNAO1 mutation misdiagnosed as atypical Rett syndrome: Cautions in interpretation of genomic test results}}. {Seminars in pediatric neurology}. 2018; 26: 28-32.
Epileptic encephalopathies are childhood brain disorders characterized by a variety of severe epilepsy syndromes that differ by the age of onset and seizure type. Until recently, the cause of many epileptic encephalopathies was unknown. Whole exome or whole genome sequencing has led to the identification of several causal genes in individuals with epileptic encephalopathy, and the list of genes has now expanded greatly. Genetic testing with epilepsy gene panels is now done quite early in the evaluation of children with epilepsy, following brain imaging, electroencephalogram, and metabolic profile. Early infantile epileptic encephalopathy (EIEE1; OMIM #308350) is the earliest of these age-dependent encephalopathies, manifesting as tonic spasms, myoclonic seizures, or partial seizures, with severely abnormal electroencephalogram, often showing a suppression-burst pattern. In this case study, we describe a 33-month-old female child with severe, neonatal onset epileptic encephalopathy. An infantile epilepsy gene panel test revealed 2 novel heterozygous variants in the MECP2 gene; a 70-bp deletion resulting in a frameshift and truncation (p.Lys377ProfsX9) thought to be pathogenic, and a 6-bp in-frame deletion (p.His371_372del), designated as a variant of unknown significance. Based on this test result, the diagnosis of atypical Rett syndrome (RTT) was made. Family-based targeted testing and segregation analysis, however, raised questions about the pathogenicity of these specific MECP2 variants. Whole exome sequencing was performed in this family trio, leading to the discovery of a rare, de novo, missense mutation in GNAO1 (p. Leu284Ser). De novo, heterozygous mutations in GNAO1 have been reported to cause early infantile epileptic encephalopathy-17 (EIEE17; OMIM 615473). The child’s severe phenotype, the family history and segregation analysis of variants and prior reports of GNAO1-linked disease allowed us to conclude that the GNAO1 mutation, and not the MECP2 variants, was the cause of this child’s neurological disease. With the increased use of genetic panels and whole exome sequencing, we will be confronted with lists of gene variants suspected to be pathogenic or of unknown significance. It is important to integrate clinical information, genetic testing that includes family members and correlates this with the published clinical and scientific literature, to help one arrive at the correct genetic diagnosis.
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6. Guha T, Yang Z, Grossman RB, Narayanan SS. {{A Computational Study of Expressive Facial Dynamics in Children with Autism}}. {IEEE transactions on affective computing}. 2018; 9(1): 14-20.
Several studies have established that facial expressions of children with autism are often perceived as atypical, awkward or less engaging by typical adult observers. Despite this clear deficit in the quality of facial expression production, very little is understood about its underlying mechanisms and characteristics. This paper takes a computational approach to studying details of facial expressions of children with high functioning autism (HFA). The objective is to uncover those characteristics of facial expressions, notably distinct from those in typically developing children, and which are otherwise difficult to detect by visual inspection. We use motion capture data obtained from subjects with HFA and typically developing subjects while they produced various facial expressions. This data is analyzed to investigate how the overall and local facial dynamics of children with HFA differ from their typically developing peers. Our major observations include reduced complexity in the dynamic facial behavior of the HFA group arising primarily from the eye region.
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7. Heunis T, Aldrich C, Peters JM, Jeste SS, Sahin M, Scheffer C, de Vries PJ. {{Recurrence quantification analysis of resting state EEG signals in autism spectrum disorder – a systematic methodological exploration of technical and demographic confounders in the search for biomarkers}}. {BMC medicine}. 2018; 16(1): 101.
BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a worldwide prevalence of 1-2%. In low-resource environments, in particular, early identification and diagnosis is a significant challenge. Therefore, there is a great demand for ‘language-free, culturally fair’ low-cost screening tools for ASD that do not require highly trained professionals. Electroencephalography (EEG) has seen growing interest as an investigational tool for biomarker development in ASD and neurodevelopmental disorders. One of the key challenges is the identification of appropriate multivariate, next-generation analytical methodologies that can characterise the complex, nonlinear dynamics of neural networks in the brain, mindful of technical and demographic confounders that may influence biomarker findings. The aim of this study was to evaluate the robustness of recurrence quantification analysis (RQA) as a potential biomarker for ASD using a systematic methodological exploration of a range of potential technical and demographic confounders. METHODS: RQA feature extraction was performed on continuous 5-second segments of resting state EEG (rsEEG) data and linear and nonlinear classifiers were tested. Data analysis progressed from a full sample of 16 ASD and 46 typically developing (TD) individuals (age 0-18 years, 4802 EEG segments), to a subsample of 16 ASD and 19 TD children (age 0-6 years, 1874 segments), to an age-matched sample of 7 ASD and 7 TD children (age 2-6 years, 666 segments) to prevent sample bias and to avoid misinterpretation of the classification results attributable to technical and demographic confounders. A clinical scenario of diagnosing an unseen subject was simulated using a leave-one-subject-out classification approach. RESULTS: In the age-matched sample, leave-one-subject-out classification with a nonlinear support vector machine classifier showed 92.9% accuracy, 100% sensitivity and 85.7% specificity in differentiating ASD from TD. Age, sex, intellectual ability and the number of training and test segments per group were identified as possible demographic and technical confounders. Consistent repeatability, i.e. the correct identification of all segments per subject, was found to be a challenge. CONCLUSIONS: RQA of rsEEG was an accurate classifier of ASD in an age-matched sample, suggesting the potential of this approach for global screening in ASD. However, this study also showed experimentally how a range of technical challenges and demographic confounders can skew results, and highlights the importance of probing for these in future studies. We recommend validation of this methodology in a large and well-matched sample of infants and children, preferably in a low- and middle-income setting.
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8. Hull JV, Dokovna LB, Jacokes ZJ, Torgerson CM, Irimia A, Van Horn JD. {{Corrigendum: Resting-State Functional Connectivity in Autism Spectrum Disorders: A Review}}. {Frontiers in psychiatry}. 2018; 9: 268.
[This corrects the article on p. 205 in vol. 7, PMID: 28101064.].
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9. Khalil R, Tindle R, Boraud T, Moustafa AA, Karim AA. {{Social decision making in autism: On the impact of mirror neurons, motor control, and imitative behaviors}}. {CNS neuroscience & therapeutics}. 2018; 24(8): 669-76.
The Mirror Neuron System (MNS) plays a crucial role in action perception and imitative behavior, which is suggested to be impaired in Autism Spectrum Disorders (ASDs). In this review, we discuss the plausibility and empirical evidence of a neural interaction between the MNS, action perception, empathy, imitative behavior, and their impact on social decision making in ASDs. To date, there is no consensus regarding a particular theory in ASDs and its underlying mechanisms. Some theories have completely focused on social difficulties, others have emphasized sensory aspects. Based on the current studies, we suggest a multilayer neural network model including the MNS on a first layer and transforming this information to a higher layer network responsible for reasoning. Future studies with ASD participants combining behavioral tasks with neuroimaging methods and transcranial brain stimulation as well as computational modeling can help validate and complement this suggested model. Moreover, we propose applying the behavioral paradigms, and the neurophysiological markers mentioned in this review article for evaluating psychiatric treatment approaches in ASDs. The investigation of modulating effects of different treatment approaches on the neurophysiological markers of the MNS can help find specific subgroups of ASDs patients and support tailored psychiatric interventions.
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10. Knox J, Arpadi SM, Kauchali S, Craib M, Kvalsvig JD, Taylor M, Bah F, Mellins C, Davidson LL. {{Screening for developmental disabilities in HIV positive and HIV negative children in South Africa: Results from the Asenze Study}}. {PLoS One}. 2018; 13(7): e0199860.
BACKGROUND: While neurodevelopmental abnormalities are common in children with HIV infection, their detection can be challenging in settings with limited availability of health professionals. The aim of this study was to assess the ability to identify developmental disability among HIV positive and HIV negative children living in South Africa with an internationally used screen. METHODS AND FINDINGS: This analysis uses a sample of 1,330 4-6 year old children and 1,231 of their caregivers in KwaZulu-Natal, South Africa, including administration of the Ten Questions (TQ) screen, a standardized medical history and physical examination conducted by a medical doctor, with hearing and vision screening, psychological assessment for cognition and language delay, and voluntary HIV testing. There was a high prevalence of disability among the sample. Compared to HIV negative children, HIV positive children were more likely to screen positive on at least one TQ item (59.3 vs 42.8%, p = 0.01), be delayed in sitting, standing or walking (OR 3.89, 95% CI = 2.1-7.2) and have difficulty walking or weakness in the arms or legs (OR = 2.7, 95%CI = 0.8-9.37). By medical doctor assessment, HIV positive children were more likely to be diagnosed with gross motor disability (OR = 3.5, 95%CI = 1.3-9.2) and hearing disability (OR = 2.5, 95%CI = 1.2-5.3). By independent psychological assessment, HIV positive children were more likely to have cognitive delay (OR = 2.2, 95%CI = 1.2-3.9) and language delay (OR = 4.3, 95%CI = 2.2-8.4). Among HIV positive children, the sensitivity and specificity of the TQ for serious disability (vs. no disability) was 100% and 51.2%, respectively. Among HIV-negative children, the sensitivity and specificity of the TQ for serious disability (vs. no disability) was 90.2% and 63.9%, respectively. CONCLUSIONS: In this first report of the use of the TQ screen in the isiZulu language, it was found to have high sensitivity for detecting serious developmental disabilities in children, especially HIV positive children. The performance of the TQ in this sample indicates utility for making best use of limited neurodevelopmental resources by screening HIV positive children.
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11. Kuriakose S, Filton B, Marr M, Okparaeke E, Cervantes P, Siegel M, Horwitz S, Havens J. {{Does an Autism Spectrum Disorder Care Pathway Improve Care for Children and Adolescents with ASD in Inpatient Psychiatric Units?}}. {J Autism Dev Disord}. 2018.
Youth with autism spectrum disorder (ASD) are psychiatrically hospitalized at high rates. Though specialized psychiatric units are effective, few specialized units exist. The ASD Care Pathway (ASD-CP) was developed as a scalable approach to improving care in general psychiatric units through staff training and a package of autism-specific intervention strategies. An evaluation of the effectiveness of the ASD-CP in a public hospital child psychiatric service compared 18 months (n = 17) versus 18 months (n = 20) post implementation. Average length of hospital stay decreased 40% (22.4-13.4 days) and use of crisis interventions decreased 77% (holds/restraints; 0.65/day to 0.15/day), though each result only approached statistical significance (p = 0.07; 0.057). This study provides preliminary evidence for improved outcomes after implementation of an ASD-CP.
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12. Leader G, Grennan S, Chen JL, Mannion A. {{An Investigation of Gelotophobia in Individuals with a Diagnosis of High-Functioning Autism Spectrum Disorder}}. {J Autism Dev Disord}. 2018.
Samson et al. (Journal of Autism and Developmental Disorders 41:475-483, 2011) conducted the first empirical investigation examining the fear of being laughed at (gelotophobia) and its prevalence in individuals with high-functioning autism spectrum disorder (hfASD). The present research examined gelotophobia in relation to social functioning, perceived social support, life satisfaction and quality of life (QoL) in individuals with hfASD, including past experiences of bullying and the presence of comorbid psychopathology. Participants were 103 adults with a clinical diagnosis of hfASD and 137 typically developing controls. Individuals with hfASD presented with higher rates of gelotophobia symptomatology in comparison to controls (87.4 vs. 22.6% respectively). It was also found that social functioning, past experiences of bullying, anxiety and life satisfaction were predictors of gelotophobia amongst individuals with hfASD.
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13. Luyster RJ, Arunachalam S. {{Brief Report: Learning Language Through Overhearing in Children with ASD}}. {J Autism Dev Disord}. 2018.
We explored whether children with autism spectrum disorder (ASD) learn new nouns from overheard speech. Thirteen children (4-5 years) with ASD participated in an Addressed condition, in which they were directly taught a novel label (e.g., toma) for one of three novel objects, and an Overheard condition, in which the objects and label were presented in a conversation between two adults. In both conditions, children were then asked to identify the labeled object (e.g., « find the toma »). Children selected the target novel object at rates above chance in the Addressed condition, and of critical importance, they also did so in the Overheard condition. This suggests that, like TD children, children with ASD may learn from language that is not directed to them.
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14. Orsmond GI, Fulford D. {{Adult Siblings Who Have a Brother or Sister with Autism: Between-Family and Within-Family Variations in Sibling Relationships}}. {J Autism Dev Disord}. 2018.
Prior research on the sibling relationship in the context of autism spectrum disorder (ASD) has included only one sibling per family. We used multi-level modeling to examine aspects of the sibling relationship in 207 adults who have a brother or sister with ASD from 125 families, investigating variability in sibling relationship quality and pessimism within and between families. We found that there was greater variability in aspects of the sibling relationship with the brother or sister with ASD within families than between families. Sibling individual-level factors were associated with positive affect in the sibling relationship, while family-level factors were associated with the sibling’s pessimism about their brother or sister’s future. The findings illustrate the unique experiences of siblings within families.
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15. Pandey S, Sharma C. {{Perceived Burden in Caregivers of Children with Autism Spectrum Disorder}}. {Journal of Nepal Health Research Council}. 2018; 16(2): 184-9.
BACKGROUND: Autism Spectrum Disorder is a lifelong developmental disorder that affects children and results in deficit in social interaction, communication and display of unusual pattern of behavior. Though caregiving is a normal parental duty, providing intensive care to a child with long-term problem is burdensome and impacts both physical and mental health of caregivers. The aim of this study was to obtain a picture of burden among caregivers raising children with Autism Spectrum Disorder. METHODS: We conducted a descriptive cross-sectional study to assess the burden of caregiving among sixty one parents of children with Autism Spectrum Disorder in the Kathmandu Valley, Nepal, using purposive sampling technique. The burden perceived by caregivers was assessed using standard tool Zarit Burden Interview-22. RESULTS: Average burden score was 41.49+/-12.25 which indicates that caregivers experienced moderate to severe range of burden. Level of education, anxiety and depression was found to be significantly associated with burden of caregiving. CONCLUSIONS: The study concluded that the burden of caregiving is most remarkably associated with emotional status and social life of the caregivers.
16. Poole D, Gowen E, Warren PA, Poliakoff E. {{Visual-tactile selective attention in autism spectrum condition: An increased influence of visual distractors}}. {Journal of experimental psychology General}. 2018.
We have previously observed that participants with autism spectrum condition (ASC) are more influenced by visual distractors during a tactile task compared with controls (Poole, Gowen, Warren, & Poliakoff, 2015). This finding suggests that changes in multisensory processing could underpin differences in sensory reactivity in ASC. Here we explore the cognitive mechanisms underlying this effect. Adults with ASC (n = 22) and matched neurotypical (NT) controls (n = 22) completed 3 tasks involving similar stimuli. In Experiment 1, we again showed that when participants with ASC were performing a tactile task they were distracted more by visual stimuli compared with NTs. In Experiment 2, however, no differences between the groups were observed on an alternative visual-tactile task (temporal order judgment) requiring attention to both the stimuli. That is, ASC performance was typical when the task did not require the visual stimuli to be suppressed. Furthermore, in Experiment 3 the effects of visual distractors were comparable between the groups when the tactile target was replaced with a visual target. When comparing performance across Experiments 1 and 3, NT participants were better able to suppress visual distractors when the target was tactile than when the target was visual (Experiment 1 vs. 3), but this crossmodal benefit was not observed in participants with ASC. The effects of visual distractors were comparable regardless of the target modality suggesting that the efficacy of visual-tactile selective attention may be reduced in ASC. (PsycINFO Database Record
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17. Saldanha Tschinkel PF, Bjorklund G, Conon LZZ, Chirumbolo S, Nascimento VA. {{Plasma concentrations of the trace elements copper, zinc and selenium in Brazilian children with autism spectrum disorder}}. {Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie}. 2018; 106: 605-9.
The association between the plasma levels of trace elements, such as copper (Cu), zinc (Zn) and selenium (Se), in people with autism spectrum disorder (ASD), has attracted the interest of many physicians in the very recent years, because the impaired homeostatic regulation of trace elements, including their levels in the bloodstream and their potential neurotoxicity, contribute to the onset and exacerbation of ASD. In this study, we investigated 23 pediatric subjects (Lien vers le texte intégral (Open Access ou abonnement)
18. Sanchez-Sanchez SM, Magdalon J, Griesi-Oliveira K, Yamamoto G, Santacruz-Perez C, Fogo M, Passos-Bueno MR, Sertie AL. {{Rare RELN variants affect Reelin-DAB1 signal transduction in autism spectrum disorder}}. {Human mutation}. 2018.
The Reelin-DAB1 signaling pathway plays a crucial role in regulating neuronal migration and synapse function. While many rare heterozygous variants in the Reelin gene (RELN) have been identified in patients with autism spectrum disorder (ASD), most variants are still of unknown clinical significance. Also, genetic data suggest that heterozygous variants in RELN alone appear to be insufficient to cause ASD. Here, we describe the identification and functional characterization of rare compound heterozygous missense variants in RELN in a patient with ASD in whom we have previously reported hyperfunctional mTORC1 signaling of yet unknown etiology. Using iPSC-derived neural progenitor cells (NPCs) from this patient, we provide experimental evidence that the identified variants are deleterious and lead to diminished Reelin secretion and impaired Reelin-DAB1 signal transduction. Also, our results suggest that mTORC1 pathway overactivation may function as a second hit event contributing to downregulation of the Reelin-DAB1 cascade in patient-derived NPCs, and that inhibition of mTORC1 by rapamycin attenuates Reelin-DAB1 signaling impairment. Taken together, our findings point to an abnormal interplay between Reelin-DAB1 and mTORC1 networks in nonsyndromic ASD. This article is protected by copyright. All rights reserved.
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19. Sauna-Aho O, Bjelogrlic-Laakso N, Siren A, Arvio M. {{Signs indicating dementia in Down, Williams and Fragile X syndromes}}. {Molecular genetics & genomic medicine}. 2018.
BACKGROUND: Intellectual disability (ID) and dementia reflect disturbed cortical function during and after developmental age, respectively. Due to the wide heterogeneity of ID population the decline in cognitive and adaptive skills may be different in distinct genetic subgroups. METHODS: Using the British Present Psychiatric State-learning Disabilities assessment (PPS-LD) questionnaire the dementia signs were screened in 62, 22 and 44 individuals (> 35 year of age) with Down (DS, OMIM number 190685), Williams (WS, OMIM number, 194050), and Fragile X syndrome (FXS, OMIM number 309550), respectively. The median age of those with FXS (59 years) was higher than of those with DS (50 years) and WS (53 years). RESULTS: Most study participants with DS (80%) and FXS (89%) were or had been moderately or severely intellectually disabled while most participants with WS (73%) were or had been mildly or moderately disabled at adolescent age. The adolescent (premorbid) level of ID did not correlate with the dementia score. The median scores were 11/27, 1/27, and 0/27 in DS, WS, and FXS subgroups, respectively. Dementia that was confirmed by brain imaging, manifested as Alzheimer disease and as moya-moya disease associated vascular dementia in DS and as vascular dementia in WS. CONCLUSIONS: This survey suggests that the risk of dementia varies depending on the cause of ID and that the severity of ID in adolescence does not predict the development of dementia at a later age. Consequently, the ID and dementia should be understood as separate clinical entities that need to be taken into account in the health management of intellectually disabled people. This is important for the arrangement of appropriate and timely interventions, which can be expected to delay the need for institutionalization.
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20. Shephard E, Bedford R, Milosavljevic B, Gliga T, Jones EJH, Pickles A, Johnson MH, Charman T. {{Early developmental pathways to childhood symptoms of attention-deficit hyperactivity disorder, anxiety and autism spectrum disorder}}. {J Child Psychol Psychiatry}. 2018.
BACKGROUND: Children with autism spectrum disorder (ASD) often have co-occurring symptoms of attention-deficit/hyperactivity disorder (ADHD) and/or anxiety. It is unclear whether these disorders arise from shared or distinct developmental pathways. We explored this question by testing the specificity of early-life (infant and toddler) predictors of mid-childhood ADHD and anxiety symptoms compared to ASD symptoms. METHODS: Infants (n = 104) at high and low familial risk for ASD took part in research assessments at 7, 14, 24 and 38 months, and 7 years of age. Symptoms of ASD, ADHD and anxiety were measured by parent report at age 7. Activity levels and inhibitory control, also measured by parent report, in infancy and toddlerhood were used as early-life predictors of ADHD symptoms. Fearfulness and shyness measured in infancy and toddlerhood were used as early-life predictors of anxiety symptoms. Correlations and path analysis models tested associations between early-life predictors and mid-childhood ADHD and anxiety symptoms compared to mid-childhood ASD symptoms, and the influence of controlling for ASD symptoms on those associations. RESULTS: Increased activity levels and poor inhibitory control were correlated with ADHD symptoms and not ASD or anxiety; these associations were unchanged in path models controlling for risk-group and ASD symptoms. Increased fearfulness and shyness were correlated with anxiety symptoms, but also ASD symptoms. When controlling for risk-group in path analysis, the association between shyness and anxiety became nonsignificant, and when further controlling for ASD symptoms the association between fearfulness and anxiety became marginal. CONCLUSIONS: The specificity of early-life predictors to ADHD symptoms suggests early developmental pathways to ADHD might be distinct from ASD. The overlap in early-life predictors of anxiety and ASD suggests that these disorders are difficult to differentiate early in life, which could reflect the presence of common developmental pathways or convergence in early behavioural manifestations of these disorders.
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21. Siebes R, Muntjewerff JW, Staal W. {{Differences of Symptom Distribution Across Adult Age in High Functioning Individuals on the Autism Spectrum Using Subscales of the Autism Spectrum Quotient}}. {J Autism Dev Disord}. 2018.
Little is known about the distribution of symptoms of Autism Spectrum Disorder (ASD) across the lifespan. In this cross-sectional study, we examined differences between subscales of the Autism Spectrum Quotient (AQ) between different age groups. 654 Subjects referred to an outpatient University Clinic with specialized expertise in ASD were included. Data collection, including self-report and report by spouses, was performed from 2008 to 2014. Results show no significant differences between the different age groups. AQ scores based on self-report corresponded remarkably well with those from their spouses. In conclusion, the main traits of an ASD appear stable between the different age groups. Also, the results show that using the AQ, patients have largely the same appreciation of symptoms as their spouses.
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22. Teh EJ, Yap MJ, Rickard Liow SJ. {{Emotional Processing in Autism Spectrum Disorders: Effects of Age, Emotional Valence, and Social Engagement on Emotional Language Use}}. {J Autism Dev Disord}. 2018.
Children with autism spectrum disorders (ASD) show deficits in reporting others’ emotions (Lartseva et al. in Front Hum Neurosci 8:991, 2015) and in deriving meaning in social contexts (Klin et al. in Handbook of autism and pervasive developmental disorders, Wiley, Hoboken, 2005). However, researchers often use stimuli that conflate salient emotional and social information. Using a matched-pairs design, the impact of emotional and social information on emotional language in pre-school and school-age children, with and without ASD, was assessed with a picture description task comprising rated stimuli from the Pictures with Social Contexts and Emotional Scenes database (Teh et al. in Behav Res Methods, https://doi.org/10.3758/s13428-017-0947-x , 2017). Results showed both groups with ASD produced fewer emotional terms than typically developing children, but the effects were moderated by valence, social engagement, and age. Implications for theory and clinical practice are discussed.
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23. Xiang AH, Wang X, Martinez MP, Page K, Buchanan TA, Feldman RK. {{Maternal Type 1 Diabetes and Risk of Autism in Offspring}}. {Jama}. 2018; 320(1): 89-91.
