Neural Engineering for Autism Spectrum Disorder: A Comprehensive Guide

Neural Engineering for Autism Spectrum Disorder, Volume One: Imaging and Signal Analysis Techniques, authored by Ayman S. El-Baz, presents cutting-edge advancements in neural engineering and biomedical engineering as applied to the clinical diagnosis and treatment of Autism Spectrum Disorder (ASD). This book delves into the role of neuroimaging, infrared spectroscopy, sMRI, fMRI, DTI, social behaviors, and suitable data analytics useful for clinical diagnosis and research applications for ASD, including relevant case studies.

Imaging Techniques for ASD Diagnosis

The application of brain signal evaluation, EEG analytics, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals are presented for the detection and estimation of the degree of ASD. This volume provides in-depth technical coverage of imaging and signal analysis techniques, including coverage of functional MRI, neuroimaging, infrared spectroscopy, sMRI, fMRI, DTI, and neuroanatomy of autism.

Signal Analysis for ASD Detection

Signal Analysis for the detection and estimation of Autism Spectrum Disorder (ASD) is also extensively covered, including brain signal analysis, EEG analytics, feature selection, and analysis of blood oxygen level-dependent (BOLD) signals for ASD. This book is designed to help engineers, computer scientists, researchers, and clinicians understand the technology and applications of Neural Engineering for the detection and diagnosis of ASD.

Published by Elsevier Science on July 16, 2021, this book is available in English. The ISBNs for this publication are 9780128228227 and 9780128230657. This comprehensive guide is essential reading for those interested in the latest developments in neural engineering and its applications in understanding and treating ASD.