Unveiling Critical Periods of Brain Development in Autism Spectrum Disorder

Author:

Babu C. V. Suresh1ORCID,Shunmugapriya K.2

Affiliation:

1. Hindustan Institute of Technolgy and Science, India

2. Hindustan College of Arts and Science, India

Abstract

This chapter addresses the complex nature of autism spectrum disorder (ASD) and the pressing need for advancements in diagnostic techniques and therapeutic interventions. It explores the integration of AI as a promising avenue to revolutionize ASD research and clinical practices. Focusing on critical periods of brain development, particularly prenatal and postnatal growth parameters, the chapter aims to deepen our understanding of ASD's underlying mechanisms and improve early detection methods. Leveraging AI-driven approaches, it seeks to refine diagnostic criteria and inform personalized interventions for individuals across the autism spectrum. By integrating insights from interdisciplinary analyses, the chapter sheds new light on ASD complexities, paving the way for more effective strategies in early detection, intervention, and support for affected individuals and their families. Through a comprehensive exploration, this chapter contributes to the advancement of evidence-based practices in ASD healthcare, striving to enhance care and outcomes for individuals with ASD.

Publisher

IGI Global

Reference31 articles.

1. Ahmed, S. R. A B, S., I M, V., & V, T. (2019). Autism Spectrum Disorder Using Bernoulli’s Naive Bayes. International Journal of Recent Technology and Engineering (IJRTE), 8(2). Retrieved from https://www.ijrte.org/wp-content/uploads/papers/v8i2/B27800582219.pdf

2. Artificial intelligence and placental DNA methylation: newborn prediction and molecular mechanisms of autism in preterm children

3. Efficient Machine Learning Models for Early Stage Detection of Autism Spectrum Disorder

4. Autism screening questionnaire: Diagnostic validity

5. Brain charts for the human lifespan

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