Features

Contains the contributions of highly recognized researchers in autism, including Manual F. Casanova
Covers computer-aided detection and diagnosis, especially for those in high-risk populations
Discusses multimodality fusion (MRI/PET, PET/CT, ERPs, and fMRI) for diagnosis, image analysis, and image-guided interventions
Includes in-depth coverage of image reconstruction
Applies machine learning applications to medical images with 2D, 3D, and 4D data
Summary

This book covers state-of-the-art medical image analysis approaches currently pursued in autism research. Chapters cover recent advances in diagnosis using structural neuroimaging. All aspects of imaging are included, such as electrophysiology (EEG, ERP, QEEG, and MEG), postmortem techniques, and advantages and difficulties of depositing/acquiring images in larger databases. The book incorporates 2D, 3D, and 4D imaging and advances scientific research within the broad field of autism imaging.

Table of Contents

Introduction to Neuropathology. The Neuropathology of Autism. QEEG Guided Neurofeedback for Autism: Clinical Observations and Outcomes. Event-Related Potential Studies of Cognitive Processing Abnormalities in Autism. Evoked and Induced Gamma-Frequency Oscillations in Autism. Neurofeedback for Autistic Disorders: Emerging Empirical Evidence. Structural Imaging in Autism. Diffusion Tensor Magnetic Resonance Imaging in Autism. Spectroscopic Brain Imaging in Autism. Functional MRI in Autism. Functional PET/CT in Autism. Functional ERPs in Autism. EEG Analysis in the Assessment of Autistic Disorders. Image Reconstruction in Autism. Machine Learning Applications to 2D, 3D, and 4D Analysis. Behavior Imaging Assessment Technology: A Mobile Infrastructure to Transform Autism Diagnosis and Treatment.