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Autism Spectrum Disorder

Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.

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A Multimodal Dataset Addressing Motor Function In Autism.

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A Multimodal Dataset Addressing Motor Function In Autism.

Related Experiment Video

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder

Testing Sensory and Multisensory Function in Children with Autism Spectrum Disorder

Published on: April 22, 2015

A Multimodal Dataset Addressing Motor Function in Autism.

João Ruivo Paulo¹, Teresa Sousa^2,3,4, João Perdiz⁵

¹Institute of Systems and Robotics, University of Coimbra, Coimbra, Portugal. jpaulo@isr.uc.pt.

Scientific Data

|June 7, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

The Move4AS dataset offers novel insights into autism spectrum disorder (ASD) by linking neural and motor functions. This resource aids research into the complex interplay of action-perception and movement in individuals with ASD.

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Published on: December 7, 2018

Area of Science:

Neuroscience
Developmental Psychology
Biomedical Engineering

Background:

Autism Spectrum Disorder (ASD) is often characterized by social-cognitive deficits, with emerging evidence pointing to underlying impairments in action-perception and motor function.
A significant gap exists in publicly accessible datasets that explore the neural and behavioral mechanisms connecting these functions in ASD.
Understanding these links is crucial for developing targeted interventions and a more comprehensive view of ASD.

Purpose of the Study:

To introduce the Move4AS dataset, a novel resource designed to investigate the neural and behavioral underpinnings of motor function within the autism spectrum.
To provide a multi-modal dataset combining electroencephalography (EEG) and 3D motion capture data for studying motor imitation in social and emotional contexts.
To facilitate research on the relationship between motor control, perception, and social interaction in individuals with ASD.

Main Methods:

The Move4AS dataset was collected during motor imitation tasks (dancing, walking) involving 14 participants with ASD and 20 control participants.
High-density 16-channel wireless electroencephalography (EEG) was utilized to capture neural activity.
Marker-based 3D motion capture technology with a 10-camera setup recorded detailed body movements.

Main Results:

The dataset integrates EEG, 3D motion capture, and neuropsychological data (IQ, autism scores) for comprehensive analysis.
It enables the examination of neural and kinematic differences during motor imitation tasks in social and emotional contexts.
Provides a foundation for quantitative analysis of motor function alterations in ASD.

Conclusions:

The Move4AS dataset represents a valuable, publicly available resource for autism research, specifically targeting motor function and its neural correlates.
It supports the investigation of action-perception-motor integration in ASD, moving beyond purely social-cognitive characterizations.
This dataset will advance our understanding of the heterogeneous nature of ASD and inform the development of novel diagnostic and therapeutic strategies.