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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.

Modeling in Therapy

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...

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Developing Clinically Practicable Biomarkers for Autism Spectrum Disorder.

James C McPartland¹

¹Yale Child Study Center, 230 South Frontage Road, New Haven, CT, 06520, USA. james.mcpartland@yale.edu.

Journal of Autism and Developmental Disorders

|July 12, 2017

Summary

This summary is machine-generated.

Objective biomarkers are needed to improve autism spectrum disorder (ASD) diagnosis and treatment. Developing cost-effective, scalable technologies is crucial for widespread clinical use and research impact.

Keywords:

Autism spectrum disorder Biomarkers EEG

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Published on: July 31, 2017

Area of Science:

Neuroscience
Developmental Psychology
Biomarker Research

Background:

Current autism spectrum disorder (ASD) assessment relies heavily on observational and parent-reported behavioral measures.
Significant advances in understanding ASD's biological underpinnings have not translated into objective clinical tools.
There is a pressing need for validated, objective biomarkers to assess ASD risk and symptoms.

Discussion:

Biomarker development for ASD must prioritize cost-effectiveness and scalability for public health impact.
Accessible technologies are essential for widespread adoption in clinical practice and research.
Challenges exist in translating biological insights into clinically practicable ASD biomarkers.

Key Insights:

Objective measures are critical for sensitive quantification of ASD risk and symptomatology.
Biomarkers are needed to accurately track changes in ASD during intervention trials.
Cost-effective and scalable technologies are paramount for biomarker utility.

Outlook:

Large-scale consortia and clinical networks are vital for advancing ASD biomarker research.
Optimizing biomarker understanding requires collaborative, multi-site approaches.
Future efforts should focus on integrating objective measures into routine ASD clinical care.