AIMC Topic: Autism Spectrum Disorder

Clear Filters Showing 351 to 360 of 366 articles

Predicting Autism Spectrum Disorder Using Domain-Adaptive Cross-Site Evaluation.

Neuroinformatics
The advances in neuroimaging methods reveal that resting-state functional fMRI (rs-fMRI) connectivity measures can be potential diagnostic biomarkers for autism spectrum disorder (ASD). Recent data sharing projects help us replicating the robustness ...

Impressions of Humanness for Android Robot may Represent an Endophenotype for Autism Spectrum Disorders.

Journal of autism and developmental disorders
Identification of meaningful endophenotypes may be critical to unraveling the etiology and pathophysiology of autism spectrum disorders (ASD). We investigated whether impressions of "humanness" for android robot might represent a candidate characteri...

Distributed Intrinsic Functional Connectivity Patterns Predict Diagnostic Status in Large Autism Cohort.

Brain connectivity
Diagnosis of autism spectrum disorder (ASD) currently relies on behavioral observations because brain markers are unknown. Machine learning approaches can identify patterns in imaging data that predict diagnostic status, but most studies using functi...

Robotic set-up to quantify hand-eye behavior in motor execution and learning of children with autism spectrum disorder.

IEEE ... International Conference on Rehabilitation Robotics : [proceedings]
Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder characterized by a persistence of social and communication impairment, and restricted and repetitive behaviors. However, motor disorders have also been described, but not ob...

Exploring the Use of a Humanoid Robot to Engage Children with Autism Spectrum Disorder (ASD).

Studies in health technology and informatics
We present a study aimed at exploring whether a humanoid robot may improve the effectiveness of educational interventions targeting children with autism spectrum disorders (ASD). Preliminary results with three preschool children with ASD indicate tha...

Brief Report: Evaluation of an Intelligent Learning Environment for Young Children with Autism Spectrum Disorder.

Journal of autism and developmental disorders
Researchers are increasingly attempting to develop and apply innovative technological platforms for early detection and intervention of autism spectrum disorder (ASD). This pilot study designed and evaluated a novel technologically-mediated intellige...

Ensemble statistical and subspace clustering model for analysis of autism spectrum disorder phenotypes.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Heterogeneity in Autism Spectrum Disorder (ASD) is complex including variability in behavioral phenotype as well as clinical, physiologic, and pathologic parameters. The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-...

Mapping Robots to Therapy and Educational Objectives for Children with Autism Spectrum Disorder.

Journal of autism and developmental disorders
The aim of this study was to increase knowledge on therapy and educational objectives professionals work on with children with autism spectrum disorder (ASD) and to identify corresponding state of the art robots. Focus group sessions (n = 9) with ASD...

Children with Autism Spectrum Disorders Make a Fruit Salad with Probo, the Social Robot: An Interaction Study.

Journal of autism and developmental disorders
Social robots are thought to be motivating tools in play tasks with children with autism spectrum disorders. Thirty children with autism were included using a repeated measurements design. It was investigated if the children's interaction with a huma...