1. Ameis SH. {{Heterogeneity Within and Between Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder: Challenge or Opportunity?}}. {JAMA Psychiatry};2017 (Sep 06)
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2. Aoki Y, Yoncheva YN, Chen B, Nath T, Sharp D, Lazar M, Velasco P, Milham MP, Di Martino A. {{Association of White Matter Structure With Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder}}. {JAMA Psychiatry};2017 (Sep 06)
Importance: Clinical overlap between autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) is increasingly appreciated, but the underlying brain mechanisms remain unknown to date. Objective: To examine associations between white matter organization and 2 commonly co-occurring neurodevelopmental conditions, ASD and ADHD, through both categorical and dimensional approaches. Design, Setting, and Participants: This investigation was a cross-sectional diffusion tensor imaging (DTI) study at an outpatient academic clinical and research center, the Department of Child and Adolescent Psychiatry at New York University Langone Medical Center. Participants were children with ASD, children with ADHD, or typically developing children. Data collection was ongoing from December 2008 to October 2015. Main Outcomes and Measures: The primary measure was voxelwise fractional anisotropy (FA) analyzed via tract-based spatial statistics. Additional voxelwise DTI metrics included radial diffusivity (RD), mean diffusivity (MD), axial diffusivity (AD), and mode of anisotropy (MA). Results: This cross-sectional DTI study analyzed data from 174 children (age range, 6.0-12.9 years), selected from a larger sample after quality assurance to be group matched on age and sex. After quality control, the study analyzed data from 69 children with ASD (mean [SD] age, 8.9 [1.7] years; 62 male), 55 children with ADHD (mean [SD] age, 9.5 [1.5] years; 41 male), and 50 typically developing children (mean [SD] age, 9.4 [1.5] years; 38 male). Categorical analyses revealed a significant influence of ASD diagnosis on several DTI metrics (FA, MD, RD, and AD), primarily in the corpus callosum. For example, FA analyses identified a cluster of 4179 voxels (TFCE FEW corrected P < .05) in posterior portions of the corpus callosum. Dimensional analyses revealed associations between ASD severity and FA, RD, and MD in more extended portions of the corpus callosum and beyond (eg, corona radiata and inferior longitudinal fasciculus) across all individuals, regardless of diagnosis. For example, FA analyses revealed clusters overall encompassing 12121 voxels (TFCE FWE corrected P < .05) with a significant association with parent ratings in the social responsiveness scale. Similar results were evident using an independent measure of ASD traits (ie, children communication checklist, second edition). Total severity of ADHD-traits was not significantly related to DTI metrics but inattention scores were related to AD in corpus callosum in a cluster sized 716 voxels. All these findings were robust to algorithmic correction of motion artifacts with the DTIPrep software. Conclusions and Relevance: Dimensional analyses provided a more complete picture of associations between ASD traits and inattention and indexes of white matter organization, particularly in the corpus callosum. This transdiagnostic approach can reveal dimensional relationships linking white matter structure to neurodevelopmental symptoms. Lien vers le texte intégral (Open Access ou abonnement)
3. Chen MH, Pan TL, Lan WH, Hsu JW, Huang KL, Su TP, Li CT, Lin WC, Wei HT, Chen TJ, Bai YM. {{Risk of Suicide Attempts Among Adolescents and Young Adults With Autism Spectrum Disorder: A Nationwide Longitudinal Follow-Up Study}}. {J Clin Psychiatry};2017 (Aug 29)
BACKGROUND: Previous studies reported a high prevalence of depression among patients with autism spectrum disorder (ASD) and suggested a relationship between ASD and suicidality. However, whether ASD independently increases the risk of attempted suicide regardless of depression has not been determined. METHODS: Using the Taiwan National Health Insurance Research Database, 5,618 adolescents aged 12-17 years and young adults aged 18-29 years with ASD (ICD-9-CM code: 299) and 22,472 age- and sex-matched controls were enrolled between 2001 and 2009 and followed to the end of 2011. Any suicide attempt was identified during the follow-up period. RESULTS: Patients with ASD had a higher incidence of suicide attempts (3.9% vs 0.7%, P < .001) than did those without ASD. Both adolescents (HR = 5.79; 95% CI, 3.98-8.41) and young adults (HR = 5.38; 95% CI, 3.58-8.06) with ASD were more likely to attempt suicide in later life after adjusting for demographic data and psychiatric comorbidities. Sensitivity analyses after excluding the first year (HR = 4.52; 95% CI, 3.39-6.03) or first 3 years (HR = 3.36; 95% CI, 2.40-4.70) of observation showed consistent findings. CONCLUSIONS: Patients with ASD had an increased risk of suicide attempts compared with those without ASD. ASD was an independent risk factor of attempted suicide. Further studies are needed to clarify the underlying pathophysiology between ASD and suicidality and to elucidate whether prompt intervention for ASD may reduce this risk. Lien vers le texte intégral (Open Access ou abonnement)
4. Cheng M, Kato M, Tseng CH. {{Gender and autistic traits modulate implicit motor synchrony}}. {PLoS One};2017;12(9):e0184083.
Interpersonal motor synchrony during walking or dancing is universally observed across cultures, and this joint movement was modulated by physical and social parameters. However, human interactions are greatly shaped by our unique traits, and self-related factors are surprisingly little studied in the context of interpersonal motor synchrony. In this study, we investigated two such factors known to be highly associated with motor coordination: gender and autistic traits. We employed a real-world task extending our understanding beyond laboratory tasks. Participants of the same gender were paired up to walk and chat in a natural environment. A cover story was introduced so that participants would not know their walking steps were being recorded and instead believed that their location was being tracked by a global positioning system (GPS), so they would ignore the motor recording. We found that the female pairs’ steps were more synchronized than those of the males, and higher autistic tendencies (measured by the autism-spectrum quotient) attenuated synchronous steps. Those who synchronized better had higher impression rating increase for their walking partners (measured by interpersonal judgement scale) than those who synchronized less well. Our results indicated that the participants’ joint movements were shaped by predisposed traits and might share similar mechanism with social functions such as empathy.
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5. Croteau C, Mottron L, Presse N, Tarride JE, Dorais M, Perreault S. {{Increase in Psychoactive Drug Prescriptions in the Years Following Autism Spectrum Diagnosis: A Population-Based Cohort Study}}. {J Popul Ther Clin Pharmacol};2017 (Aug 18);24(3):e19-e32.
BACKGROUND: Psychoactive medications are commonly prescribed to autistic individuals, but little is known about how their use changes after diagnosis. OBJECTIVES: This study describes the use of psychoactive drugs in children and young adults newly diagnosed with autism spectrum, between the year before and up to 5 years after diagnosis. METHODS: Multivariable logistic regression was used to examine the relationship between the use psychoactive drugs before the first diagnosis of autism spectrum condition (from 1998 to 2010), and the clinical and demographic characteristics, identified from public health care databases in Quebec. The types of drugs prescribed and psychoactive polypharmacy were evaluated over 5 years of follow-up. Generalized estimating equations (GEE) were used to examine the association of age and time with the use of psychoactive drugs. RESULTS: In our cohort of 2,989 individuals, diagnosis of another psychiatric disorder before autism spectrum strongly predicted psychoactive drug use. We observed that the proportion of users of psychoactive drugs increased from 35.6% the year before, to 53.2% 5 years after the autism spectrum diagnosis. Psychoactive polypharmacy (>/=2 psychoactive drug classes) also increased from 9% to 22% in that time. Age and time since diagnosis strongly associated with the types and combinations of psychoactive drugs prescribed. CONCLUSIONS: Psychoactive drug use and polypharmacy increases substantially over time after autism spectrum disorder diagnosis in children.
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6. Guo X, Dominick KC, Minai AA, Li H, Erickson CA, Lu LJ. {{Diagnosing Autism Spectrum Disorder from Brain Resting-State Functional Connectivity Patterns Using a Deep Neural Network with a Novel Feature Selection Method}}. {Front Neurosci};2017;11:460.
The whole-brain functional connectivity (FC) pattern obtained from resting-state functional magnetic resonance imaging data are commonly applied to study neuropsychiatric conditions such as autism spectrum disorder (ASD) by using different machine learning models. Recent studies indicate that both hyper- and hypo- aberrant ASD-associated FCs were widely distributed throughout the entire brain rather than only in some specific brain regions. Deep neural networks (DNN) with multiple hidden layers have shown the ability to systematically extract lower-to-higher level information from high dimensional data across a series of neural hidden layers, significantly improving classification accuracy for such data. In this study, a DNN with a novel feature selection method (DNN-FS) is developed for the high dimensional whole-brain resting-state FC pattern classification of ASD patients vs. typical development (TD) controls. The feature selection method is able to help the DNN generate low dimensional high-quality representations of the whole-brain FC patterns by selecting features with high discriminating power from multiple trained sparse auto-encoders. For the comparison, a DNN without the feature selection method (DNN-woFS) is developed, and both of them are tested with different architectures (i.e., with different numbers of hidden layers/nodes). Results show that the best classification accuracy of 86.36% is generated by the DNN-FS approach with 3 hidden layers and 150 hidden nodes (3/150). Remarkably, DNN-FS outperforms DNN-woFS for all architectures studied. The most significant accuracy improvement was 9.09% with the 3/150 architecture. The method also outperforms other feature selection methods, e.g., two sample t-test and elastic net. In addition to improving the classification accuracy, a Fisher’s score-based biomarker identification method based on the DNN is also developed, and used to identify 32 FCs related to ASD. These FCs come from or cross different pre-defined brain networks including the default-mode, cingulo-opercular, frontal-parietal, and cerebellum. Thirteen of them are statically significant between ASD and TD groups (two sample t-test p < 0.05) while 19 of them are not. The relationship between the statically significant FCs and the corresponding ASD behavior symptoms is discussed based on the literature and clinician's expert knowledge. Meanwhile, the potential reason of obtaining 19 FCs which are not statistically significant is also provided. Lien vers le texte intégral (Open Access ou abonnement)
7. Haakonsen Smith C, Turbitt E, Muschelli J, Leonard L, Lewis KL, Freedman B, Muratori M, Biesecker BB. {{Feasibility of Coping Effectiveness Training for Caregivers of Children with Autism Spectrum Disorder: a Genetic Counseling Intervention}}. {J Genet Couns};2017 (Sep 06)
Caregivers of children with autism spectrum disorder (ASD) may find it difficult to feel a sense of control and to cope with the overall physical and emotional demands of caring for their child. While caregivers are able to successfully cope with a high level of stress, there are limits to their resources and abilities to cope over time. Genetic counselors working with affected families may be able to help parents more effectively manage stress related to the disorder. Few short-term interventions have been reported in genetic counseling yet implementation of evidence-based examples may be achievable. This study aimed to assess the feasibility of a coping effectiveness training (CET) intervention designed to enhance coping self-efficacy (CSE) among caregivers of children with ASD, with the eventual goal of translating this intervention into genetic counseling practice. A randomized treatment-control design was used to investigate the feasibility of an intervention using CET among caregivers of children with ASD. The primary outcome was the feasibility of the intervention; the secondary outcome was improvements in CSE in the intervention group as compared to the control group. Caregivers were recruited and randomized into the treatment (n=15) or control (n=13) groups. Of these, 22 completed the study (retention: 78.6%). The intervention was highly feasible; most caregivers found the CET helpful, practical, useful, and relatively easy to attend. The treatment group demonstrated significantly increased CSE from pre-intervention to post-intervention (p=0.02). Between group differences were not significant when comparing the pre-post changes. We provide preliminary evidence that CET may be beneficial to caregivers of children with ASD. The results of this feasibility study support development of a phase II study of this intervention in a larger cohort, aimed to be implemented into a genetic counseling setting.
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8. Joensuu M, Lanoue V, Hotulainen P. {{Dendritic spine actin cytoskeleton in autism spectrum disorder}}. {Prog Neuropsychopharmacol Biol Psychiatry};2017 (Sep 01)
Dendritic spines are small actin-rich protrusions from neuronal dendrites that form the postsynaptic part of most excitatory synapses. Changes in the shape and size of dendritic spines correlate with the functional changes in excitatory synapses and are heavily dependent on the remodeling of the underlying actin cytoskeleton. Recent evidence implicates synapses at dendritic spines as important substrates of pathogenesis in neuropsychiatric disorders, including autism spectrum disorder (ASD). Although synaptic perturbations are not the only alterations relevant for these diseases, understanding the molecular underpinnings of the spine and synapse pathology may provide insight into their etiologies and could reveal new drug targets. In this review, we will discuss recent findings of defective actin regulation in dendritic spines associated with ASD.
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9. Mous SE, Jiang A, Agrawal A, Constantino JN. {{Attention and motor deficits index non-specific background liabilities that predict autism recurrence in siblings}}. {J Neurodev Disord};2017 (Sep 05);9(1):32.
BACKGROUND: Recent research has demonstrated that subclinical autistic traits of parents amplify the effects of deleterious mutations in the causation of autism spectrum disorder (ASD) in their offspring. Here, we examined the extent to which two neurodevelopmental traits that are non-specific to ASD-inattention/hyperactivity and motor coordination-might contribute to ASD recurrence in siblings of ASD probands. METHODS: Data from a quantitative trait study of 114 ASD probands and their brothers, 26% of whom also had ASD, were analyzed. Autistic trait severity was ascertained using the Social Responsiveness Scale-2, attention/hyperactivity problems using the Achenbach System of Empirically Based Assessment, and motor coordination (in a subset of participants) using the Developmental Coordination Disorder Questionnaire. RESULTS: Among siblings (affected and unaffected), both categorical recurrence of ASD (Nagelkerke R 2 = 0.53) and quantitative ASD trait burden (R 2 = 0.55) were predicted by sibling ADHD and motor coordination impairment scores, even though these traits, on average, were not elevated among the unaffected siblings. CONCLUSIONS: These findings in a clinical family cohort confirm observations from general population studies that inattention/hyperactivity and motor impairment-axes of behavioral development that are non-specific to ASD, and often appreciable before ASD is typically diagnosed-jointly account for over 50% of the variation in autistic impairment of siblings, whether ascertained quantitatively or categorically. This finding within a sibling design suggests that background ASD susceptibilities that are inherited but non-specific (« BASINS ») may contribute to additive genetic liability in the same manner that ASD-specific susceptibilities (such as parental subclinical ASD traits and deleterious mutations) engender ASD risk.
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10. Nystrom P, Bolte S, Falck-Ytter T. {{Responding to Other People’s Direct Gaze: Alterations in Gaze Behavior in Infants at Risk for Autism Occur on Very Short Timescales}}. {J Autism Dev Disord};2017 (Sep 04)
Atypical gaze processing has been reported in children with autism spectrum disorders (ASD). Here we explored how infants at risk for ASD respond behaviorally to others’ direct gaze. We assessed 10-month-olds with a sibling with ASD (high risk group; n = 61) and a control group (n = 18) during interaction with an adult. Eye-tracking revealed less looking at the adult in the high risk group during 300-1000 ms after the adult initiated direct gaze: a short alteration that is likely to go unnoticed by the naked eye. Data aggregated over longer segments (the traditional eye-tracking approach) showed no group differences. Although findings are limited by lack of outcome data, they are in line with theories linking atypical eye processing to the emergence of ASD.
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11. Prata J, Santos SG, Almeida MI, Coelho R, Barbosa MA. {{Bridging Autism Spectrum Disorders and Schizophrenia through inflammation and biomarkers – pre-clinical and clinical investigations}}. {J Neuroinflammation};2017 (Sep 04);14(1):179.
In recent years, evidence supporting a link between inflammation and neuropsychiatric disorders has been mounting. Autism spectrum disorders (ASD) and schizophrenia share some clinical similarities which we hypothesize might reflect the same biological basis, namely, in terms of inflammation. However, the diagnosis of ASD and schizophrenia relies solely on clinical symptoms, and to date, there is no clinically useful biomarker to diagnose or monitor the course of such illnesses.The focus of this review is the central role that inflammation plays in ASD and schizophrenia. It spans from pre-clinical animal models to clinical research and excludes in vitro studies. Four major areas are covered: (1) microglia, the inflammatory brain resident myeloid cells, (2) biomarkers, including circulating cytokines, oxidative stress markers, and microRNA players, known to influence cellular processes at brain and immune levels, (3) effect of anti-psychotics on biomarkers and other predictors of response, and (4) impact of gender on response to immune activation, biomarkers, and response to anti-psychotic treatments.
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12. Sarika UP, Ashley K, Dorita J, Alexandra PK. {{Distinguishing response to names in Rett and MECP2 Duplication syndrome: An ERP study of auditory social information processing}}. {Brain Res};2017 (Sep 01)
Despite significant advances at the level of basic research, the characterization of higher-level processes in Rett and MECP2 Duplication syndrome remains understudied. In this pilot study, we assessed social-emotional information processing by testing whether children (ages 4-12 years) with Rett (n=9) and MECP2 Duplication syndrome (n=7) distinguished their own spoken name from other names. We hypothesized that own and familiar names would elicit more positive parietal P300 responses than unknown names, and that the groups would have different neural responses to these stimuli. The MECP2 Duplication group partially mirrored the parietal responses to own name observed in typically developing participants, and better name discrimination correlated with more adaptive behaviors. Conversely, participants with RTT did not resemble the typical group, and showed greater responses to close other names at frontal/central regions. These results may reflect the different consequences of too much (MECP2 Duplication) vs. too little (RTT) MeCP2 protein.
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13. Sim A, Cordier R, Vaz S, Parsons R, Falkmer T. {{Relationship Satisfaction and Dyadic Coping in Couples with a Child with Autism Spectrum Disorder}}. {J Autism Dev Disord};2017 (Sep 04)
Dyadic coping strategies may play a pivotal role in relationship satisfaction and explain why some couples adapt positively to the challenges associated with raising a child with ASD and others do not. Survey data from 127 caregivers of a child with ASD were used in generalized estimating equation analyses to investigate the factors associated with relationship satisfaction, including socio-demographics, parenting stress and dyadic coping. Results showed that over two-thirds of the sample reported satisfaction, which was associated with low parenting stress, increased use of positive and decreased use of negative dyadic coping strategies. Positive dyadic coping was found to have a greater influence than negative dyadic coping, supporting a strengths-based approach to interventions promoting family resilience.
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14. Wiggins LD, Tian LH, Levy SE, Rice C, Lee LC, Schieve L, Pandey J, Daniels J, Blaskey L, Hepburn S, Landa R, Edmondson-Pretzel R, Thompson W. {{Homogeneous Subgroups of Young Children with Autism Improve Phenotypic Characterization in the Study to Explore Early Development}}. {J Autism Dev Disord};2017 (Sep 06)
The objective of this study was to identify homogenous classes of young children with autism spectrum disorder (ASD) to improve phenotypic characterization. Children were enrolled in the Study to Explore Early Development between 2 and 5 years of age. 707 children were classified with ASD after a comprehensive evaluation with strict diagnostic algorithms. Four classes of children with ASD were identified from latent class analysis: mild language delay with cognitive rigidity, mild language and motor delay with dysregulation, general developmental delay, and significant developmental delay with repetitive motor behaviors. We conclude that a four-class phenotypic model of children with ASD best describes our data and improves phenotypic characterization of young children with ASD. Implications for screening, diagnosis, and research are discussed.
