2015 NIMH Autism Awareness Month Special Lecture

Audio PodcastPresented by: Kevin Pelphrey, Ph.D., Harris Professor in the Child Study Center and Professor of Psychology; Director of the Yale Center for Translational Developmental Neuroscience, Yale School of MedicineAired date: 4/6/2015 2:00:00 PM Eastern Time
Source: Videocast Podcasts - Category: Journals (General) Authors: Tags: Health Source Type: video

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Publication date: Available online 13 June 2019Source: Neuroscience &Biobehavioral ReviewsAuthor(s): Atiqah Azhari, Farouq Azizan, Gianluca Esposito
Source: Neuroscience and Biobehavioral Reviews - Category: Neuroscience Source Type: research
This study assessed the reliability and validity of English translations of the San Mart ín (n = 236) and KidsLife (n = 93) scales with individuals with concurrent diagnoses of Autism and IDD. All participants were between the ages of 17 and 52 years old (M = 30.7,SD = 8.51) and required full-time residential care. Scales were completed by educational (n = 39) and residential (n = 92) staff who had known the participants for a minimum of six months. Temporal stability (r  = .73–.97) and inter-language consisten...
Source: Journal of Developmental and Physical Disabilities - Category: Disability Source Type: research
By Emma Young If you have healthy vision, there will be a specific region of your brain (in the visual cortex) that responds most strongly whenever you look at faces, and similar regions that are especially responsive to the sight of words or natural scenes. What’s more, in any two people, these face, word and scene regions are located in pretty much the same spot in the brain. However, there is not a specific region for every possible category of visible stimulus – there are no “car” or “shoe” regions, for example (at least, not that have been identified to date). Is that because c...
Source: BPS RESEARCH DIGEST - Category: Psychiatry & Psychology Authors: Tags: Brain Source Type: blogs
The objective of this study will be to systematically evaluate published and unpublished observational studies that present prevalence and comorbidity of ASD among children, adolescent and adult population in Spain.Methods/designWe designed and registered a study protocol for a systematic review and meta-analysis of descriptive epidemiology data. Observational studies (cohort, cross-sectional) reporting the prevalence of ASD and conducted in a wide range of people (e.g. general population, outpatient and/or school settings) will be included. The primary outcome will be the prevalence of ASD. Secondary outcomes will be the ...
Source: Systematic Reviews - Category: International Medicine & Public Health Source Type: research
In this study, we present a novel analysis technique to identify alterations in community patterns in functional networks under ASD. In addition, we design machine learning classifiers to predict the clinical class of patients with ASD and controls by using only community pattern quality metrics as features. Analyses conducted on six publicly available datasets from 235 subjects, including patients with ASD and age-matched controls revealed that the modular structure is significantly disturbed in patients with ASD. Machine learning algorithms showed that the predictive power of our five metrics is relatively high (~85.16 p...
Source: Frontiers in Human Neuroscience - Category: Neuroscience Source Type: research
ConclusionsOur results show that dysfunction of stimulus-driven neural suppression plays a crucial role in the neural mechanism of visual abnormality in children with ASD. To the best of our knowledge, this is the first magnetoencephalography study to demonstrate the association between the severity of visual abnormality and lower attenuation ratios in children with ASD. Our results contribute to the knowledge of the mechanisms underlying visual abnormality in children with ASD, and may therefore lead to more effective diagnosis and earlier intervention.
Source: Journal of Neurodevelopmental Disorders - Category: Neurology Source Type: research
Establishing a treatment method for individuals with Autism Spectrum Disorder (ASD) to not only increase their frequency or duration of eye-contact but also to maintain it after ceasing the intervention, and furthermore generalize it across communication partners is a formidable challenge. Android robots, which are a type of humanoid robot with appearances quite similar to that of humans, are expected to adapt to the role of training partners of face-to-face communication for individuals with ASD, and to create easier experiences transferrable to humans. To evaluate this possibility, four male adolescents with ASD and six ...
Source: Frontiers in Psychiatry - Category: Psychiatry Source Type: research
by Kymberleigh A. Pagel, Danny Antaki, AoJie Lian, Matthew Mort, David N. Cooper, Jonathan Sebat, Lilia M. Iakoucheva, Sean D. Mooney, Predrag Radivojac Differentiation between phenotypically neutral and disease-causing genetic variation remains an open and relevant problem. Among different types of variation, non-frameshifting insertions and deletions (indels) represent an understudied group with widespread phenotypic consequences. To address thi s challenge, we present a machine learning method, MutPred-Indel, that predicts pathogenicity and identifies types of functional residues impacted by non-frameshifting insertion...
Source: PLoS Computational Biology - Category: Biology Authors: Source Type: research
Condition:   Autism Spectrum Disorder Interventions:   Behavioral: Surviving and Thriving in the Real World;   Behavioral: Program for the Education and Enrichment of Relational Skills Sponsors:   Children's Hospital Medical Center, Cincinnati;   Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Recruiting
Source: ClinicalTrials.gov - Category: Research Source Type: clinical trials
Condition:   Autism Spectrum Disorder Interventions:   Behavioral: Surviving and Thriving in the Real World;   Behavioral: Program for the Education and Enrichment of Relational Skills Sponsors:   Children's Hospital Medical Center, Cincinnati;   United States Department of Defense Recruiting
Source: ClinicalTrials.gov - Category: Research Source Type: clinical trials
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