1. Fitzgerald E, Yap HK, Ashton C, Moore DW, Furlonger B, Anderson A, Kickbush R, Donald J, Busacca M, English DL. {{Comparing the effectiveness of virtual reality and video modelling as an intervention strategy for individuals with Autism Spectrum Disorder: Brief report}}. {Dev Neurorehabil}. 2018; 21(3): 197-201.
The increasing numbers of individuals diagnosed with Autism Spectrum Disorder (ASD) has foreshadowed a greater need for effective intervention procedures to aid learning. PURPOSE: This study compared the effectiveness of video modelling (VM) and virtual reality (VR) for teaching adults with ASD. METHODS: Using an alternating treatments design without baseline two participants completed paper folding projects of varying difficulty following exposure to either VM or VR task modelling. The rate of learning (ROL) determined treatment effectiveness. RESULTS: One participant reached mastery criterion for the intermediate project on the 5th trial with both VR and VM (i.e. equal ROL). The other achieved mastery by the 6th trial of VM, but did not attain mastery in VR. Both participants reported enjoying both procedures. CONCLUSIONS: The results suggest that VM was more effective than VR in facilitating learning. Implications for future research are discussed.
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2. Hansel C. {{Deregulation of synaptic plasticity in autism}}. {Neurosci Lett}. 2018.
A puzzling observation in the study of autism spectrum disorder (ASD) in mouse models has been the deregulation of long-term synaptic depression (LTD), a form of experience-dependent synaptic plasticity, across brain areas and across syndromic and non-syndromic forms of autism. This review attempts to approach this phenomenon from a largely, but not exclusively, cerebellar perspective. Three potential consequences of LTD deregulation are discussed that are relevant for ASD phenotypes: resulting impairment of proper developmental synaptic pruning, impairment of motor coordination and motor learning, and impairment of the processing of sensory input.
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3. Hong ER, Kawaminami S, Neely L, Morin K, Davis JL, Gong LY. {{Tablet-based interventions for individuals with ASD: Evidence of generalization and maintenance effects}}. {Res Dev Disabil}. 2018.
BACKGROUND: Despite positive effects of and established empirical evidence for tablet-based interventions for individuals with autism spectrum disorder (ASD), it is not known whether such findings can be applicable to maintenance and generalization effects of those interventions. AIMS: This systematic review evaluated peer-reviewed single-case experimental design (SCED) studies concerning evidence of generalization and maintenance effects of tablet-based interventions for individuals with ASD. METHODS: To evaluate the methodological rigor of the literature in terms of generalization and maintenance effects, the authors adopted four of the basic design standards developed by What Works Clearinghouse (WWC; Kratochwill et al., 2010/2014). In addition, the authors used Tau-U effect size measure and attempted to calculate effect sizes differentiated by the type of generalization and maintenance teaching strategies. RESULTS: A total of 21 studies assessed generalization and/or maintenance effects. In the first evaluation of evidence of generalization and maintenance effects, it was found that more than half of the studies included in this review collected interobserver agreement (IOA) on at least 20% of sessions across all generalization and maintenance conditions and met the minimum quality thresholds of IOA. Meanwhile, less than one third of the studies included more than three data points in each generalization and maintenance condition. With regard to maintenance of effects, about half of the reviewed studies did not report the latency to the maintenance measure, which may hamper the assessment of the clinical and practical significance of the effect of the tablet-based intervention. In the second evaluation, the omnibus Tau-U effect size for baseline to generalization comparisons resulted in a moderate effect. For the contrasts between intervention and generalization comparisons resulted in a small effect. The omnibus Tau-U effect size for baseline and maintenance comparisons resulted in a strong effect. For the contrasts between intervention to maintenance comparisons, the omnibus Tau-U effect size resulted in a small effect. CONCLUSIONS AND IMPLICATION: Findings in this review suggest that efforts should be made to establish a system for appraising generalization and maintenance procedures in SCED studies. In addition, future studies should investigate if tablet-based interventions are truly effective in creating sustainable behavioral change in individuals with ASD.
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4. Krogh-Jespersen S, Kaldy Z, Valadez AG, Carter AS, Woodward AL. {{Goal prediction in 2-year-old children with and without autism spectrum disorder: An eye-tracking study}}. {Autism Res}. 2018.
This study examined the predictive reasoning abilities of typically developing (TD) infants and 2-year-old children with autism spectrum disorder (ASD) in an eye-tracking paradigm. Participants watched a video of a goal-directed action in which a human actor reached for and grasped one of two objects. At test, the objects switched locations. Across these events, we measured: visual anticipation of the action outcome with kinematic cues (i.e., a completed reaching behavior); goal prediction of the action outcome without kinematic cues (i.e., an incomplete reach); and latencies to generate predictions across these two tasks. Results revealed similarities in action anticipation across groups when trajectory information regarding the intended goal was present; however, when predicting the goal without kinematic cues, developmental and diagnostic differences became evident. Younger TD children generated goal-based visual predictions, whereas older TD children were not systematic in their visual predictions. In contrast to both TD groups, children with ASD generated location-based predictions, suggesting that their visual predictions may reflect visuomotor perseveration. Together, these results suggest differences in early predictive reasoning abilities. Autism Res 2018. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: The current study examines the ability to generate visual predictions regarding other people’s goal-directed actions, specifically reaching and grasping an object, in infants and children with and without autism spectrum disorder. Results showed no differences in abilities when movement information about a person’s goal was evident; however, differences were evident across age and clinical diagnoses when relying on previous knowledge to generate a visual prediction.
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5. Lee RWY, Corley MJ, Pang A, Arakaki G, Abbott L, Nishimoto M, Miyamoto R, Lee E, Yamamoto S, Maunakea AK, Lum-Jones A, Wong M. {{A modified ketogenic gluten-free diet with MCT improves behavior in children with autism spectrum disorder}}. {Physiol Behav}. 2018; 188: 205-11.
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6. Li Y, Yu D. {{Variations of the Functional Brain Network Efficiency in a Young Clinical Sample within the Autism Spectrum: A fNIRS Investigation}}. {Frontiers in physiology}. 2018; 9: 67.
Autism is a neurodevelopmental disorder with dimensional behavioral symptoms and various damages in the structural and functional brain. Previous neuroimaging studies focused on exploring the differences of brain development between individuals with and without autism spectrum disorders (ASD). However, few of them have attempted to investigate the individual differences of the brain features among subjects within the Autism spectrum. Our main goal was to explore the individual differences of neurodevelopment in young children with Autism by testing for the association between the functional network efficiency and levels of autistic behaviors, as well as the association between the functional network efficiency and age. Forty-six children with Autism (ages 2.0-8.9 years old) participated in the current study, with levels of autistic behaviors evaluated by their parents. The network efficiency (global and local network efficiency) were obtained from the functional networks based on the oxy-, deoxy-, and total-Hemoglobin series, respectively. Results indicated that the network efficiency decreased with age in young children with Autism in the deoxy- and total-Hemoglobin-based-networks, and children with a relatively higher level of autistic behaviors showed decreased network efficiency in the oxy-hemoglobin-based network. Results suggest individual differences of brain development in young children within the Autism spectrum, providing new insights into the psychopathology of ASD.
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7. Menassa DA, Braeutigam S, Bailey A, Falter-Wagner CM. {{Frontal evoked gamma activity modulates behavioural performance in Autism Spectrum Disorders in a perceptual simultaneity task}}. {Neurosci Lett}. 2018; 665: 86-91.
Autism spectrum disorders (ASDs) are associated with anomalies in time perception. In a perceptual simultaneity task, individuals with ASD demonstrate superior performance compared to typically developing (TD) controls. gamma-activity, a robust marker of visual processing, is reportedly altered in ASD in response to a wide variety of tasks and these differences may be related to superior performance in perceptual simultaneity. Using time-frequency analysis, we assessed evoked gamma-band phase-locking in magnetoencephalographic recordings of 16 ASD individuals and 17 age-matched TD controls. Individuals judged whether presented visual stimuli were simultaneous or asynchronous. We identified left frontal gamma-activity in ASD, which was associated with a reduced perception of simultaneity. Where feature binding was observed at a neurophysiological level in parieto-occipital cortices in ASD in apparent simultaneity (asynchronous stimuli with short delay between them), this did not predict the correct behavioural outcome. These findings suggest distinct gamma profiles in ASD associated with the perception of simultaneity.
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8. Park MTM, Raznahan A, Shaw P, Gogtay N, Lerch JP, Chakravarty MM. {{Neuroanatomical phenotypes in mental illness: identifying convergent and divergent cortical phenotypes across autism, ADHD and schizophrenia}}. {Journal of psychiatry & neuroscience : JPN}. 2018; 43(2): 170094.
BACKGROUND: There is evidence suggesting neuropsychiatric disorders share genomic, cognitive and clinical features. Here, we ask if autism-spectrum disorders (ASD), attention-deficit/hyperactivity disorder (ADHD) and schizophrenia share neuroanatomical variations. METHODS: First, we used measures of cortical anatomy to estimate spatial overlap of neuroanatomical variation using univariate methods. Next, we developed a novel methodology to determine whether cortical deficits specifically target or are « enriched » within functional resting-state networks. RESULTS: We found cortical anomalies were preferentially enriched across functional networks rather than clustering spatially. Specifically, cortical thickness showed significant enrichment between patients with ASD and those with ADHD in the default mode network, between patients with ASD and those with schizophrenia in the frontoparietal and limbic networks, and between patients with ADHD and those with schizophrenia in the ventral attention network. Networks enriched in cortical thickness anomalies were also strongly represented in functional MRI results (Neurosynth; r = 0.64, p = 0.032). LIMITATIONS: We did not account for variable symptom dimensions and severity in patient populations, and our cross-sectional design prevented longitudinal analyses of developmental trajectories. CONCLUSION: These findings suggest that common deficits across neuropsychiatric disorders cannot simply be characterized as arising out of local changes in cortical grey matter, but rather as entities of both local and systemic alterations targeting brain networks.
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9. Ring M, Gaigg SB, de Condappa O, Wiener JM, Bowler DM. {{Spatial navigation from same and different directions: The role of executive functions, memory and attention in adults with autism spectrum disorder}}. {Autism Res}. 2018.
To resolve some of the inconsistencies in existing research into spatial navigation in autism spectrum disorder (ASD), we tested two large age- and ability-matched groups of ASD and typically developing (TD) participants for their spatial navigation abilities in a route learning task, which has been shown to shed light on the strategies participants employ when navigating complex environments. Participants studied a route through a virtual maze by watching a short video of a first-person perspective navigating a maze. The maze included four four-way intersections that were each marked with two unique landmarks in two corners of the intersection. At test, static images of the intersections, either as seen during the video or as approached from a different direction, were presented and participants had to indicate in which direction they would need to travel (straight, left, or right) in order to follow the originally studied route. On both types of test trials, the ASD group performed worse and their difficulties were related to reduced cognitive flexibility. Eye-movement data and follow-up item-memory tests suggested that navigation difficulties may have been related to differences in attention during encoding and less spontaneous use of landmarks as cues for navigation. Spatial navigation performance was best predicted by memory for landmarks as well as by executive functions. The results are discussed in relation to theories of underlying navigation-related brain regions. More research is needed to disentangle the influence of executive functions, memory and attention on spatial navigation. Autism Res 2018. (c) 2018 International Society for Autism Research, Wiley Periodicals, Inc. LAY SUMMARY: Navigating an environment is difficult for people with ASD independent of whether they are travelling in the same or in a different direction from that which they originally studied. The present study suggests that flexibility in alternating travel directions, difficulties in remembering landmarks as well as reduced attention to landmarks while learning a route play a role in the navigation difficulties in ASD. Guidance at route learning might help autistic individuals to improve their ability to navigate in their environments.
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10. Sinha S, Levi D, Peirone A, Pedra C. {{Techniques for trans-catheter retrieval of embolized Nit-Occlud((R)) PDA-R and ASD-R devices}}. {Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions}. 2018; 91(3): 478-84.
BACKGROUND: Nit-Occlud((R)) (atrial septal defect) ASD-R and (patent ductus arteriosus) PDA-R devices are used outside the United States for percutaneous closure of the patent ductus arteriosus and atrial septal defects. When embolization occurs, these devices have been difficult to retrieve. METHODS: Bench simulations of retrieval of PDA-R and ASD-R devices were performed in a vascular model. Retrieval of each device was attempted using snare techniques or with bioptome forceps with a range of devices. The same devices were then intentionally embolized in an animal model. Retrieval methods were systematically tested in a range of sheath sizes, and graded in terms of difficulty and retrieval time. RESULTS: Devices that were grasped by the bioptome in the center of the proximal part of the devices were easily retrieved in both models. Bench studies determined the minimum sheath sizes needed for retrieval of each device with this method. In general sheathes two french sizes greater than the delivery sheath were successful with this technique. Three out of the four PDA-R devices were successfully retrieved in vivo. Two were retrieved by grasping the middle of the PA end of the PDA-R device with a Maslanka bioptome and one small PDA-R device was retrieved using a 10 mm Snare. Four of the five ASD-R devices were retrieved successfully grasping the right atrial ASD-R disc or by passing a wire through the device and snaring this loop. For ASD-R 28 and 30 mm devices, a double bioptome technique was needed to retrieve the device. CONCLUSION: ASD-R and PDA-R devices can be successfully retrieved in the catheterization lab. It is critical to grab the center portion of the right atrial disc of the ASD-R device or pulmonary portion of the PDA-R device and to use adequately sized sheathes.
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11. Will EA, Caravella KE, Hahn LJ, Fidler DJ, Roberts JE. {{Adaptive behavior in infants and toddlers with Down syndrome and fragile X syndrome}}. {Am J Med Genet B Neuropsychiatr Genet}. 2018; 177(3): 358-68.
Individuals with Down syndrome (DS) experience deficits across all domains of adaptive functioning, however little is known about the emergence and age-related changes of these impairments compared to other neurogenetic disorders with similar intellectual disability impairments, such as fragile X syndrome (FXS). Adaptive behavior is key for optimal functioning in these populations. Participants aged 5-45 months comprised three age-matched groups, DS (n = 64), FXS (n = 69), and typically developing controls (TD; n = 69). Adaptive behavior was measured on the Vineland Adaptive Behavior Scales-II. Regressions were used to examine adaptive behavior in a cross-sectional design across age. DS infants and toddlers evidenced deficits across all areas of adaptive behaviors compared to the age-matched TD group, with clear impairments present in the first year of life. Motor skills were the area of greatest weakness in children with DS with significant impairment evident at 12 months of age that remained low through 3 years. Compared to age-matched children with FXS, children with DS showed initially lower standard scores at 12 months of age, but slower declines in standard scores across age, resulting in less impaired functioning at 36 months. This is the first study to compare adaptive behavior in infants and toddlers with DS to FXS, and demonstrate the phenotypic specificity of adaptive profiles in this diagnostic group. These findings provide evidence that adaptive behavior should be a major target of intervention in children with FXS and DS, and that these differences are potentially driven by unique etiologies attributable to each disorder.
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12. Zikopoulos B, Garcia-Cabezas MA, Barbas H. {{Parallel trends in cortical gray and white matter architecture and connections in primates allow fine study of pathways in humans and reveal network disruptions in autism}}. {PLoS biology}. 2018; 16(2): e2004559.
Noninvasive imaging and tractography methods have yielded information on broad communication networks but lack resolution to delineate intralaminar cortical and subcortical pathways in humans. An important unanswered question is whether we can use the wealth of precise information on pathways from monkeys to understand connections in humans. We addressed this question within a theoretical framework of systematic cortical variation and used identical high-resolution methods to compare the architecture of cortical gray matter and the white matter beneath, which gives rise to short- and long-distance pathways in humans and rhesus monkeys. We used the prefrontal cortex as a model system because of its key role in attention, emotions, and executive function, which are processes often affected in brain diseases. We found striking parallels and consistent trends in the gray and white matter architecture in humans and monkeys and between the architecture and actual connections mapped with neural tracers in rhesus monkeys and, by extension, in humans. Using the novel architectonic portrait as a base, we found significant changes in pathways between nearby prefrontal and distant areas in autism. Our findings reveal that a theoretical framework allows study of normal neural communication in humans at high resolution and specific disruptions in diverse psychiatric and neurodegenerative diseases.
