Neurological Disorders and Imaging Physics, Volume 3

Application to autism spectrum disorders and Alzheimers

Contributions by Dr. Saman Sarraf, GILBERTO SOUSA ALVES, LEONARDO CAIXETA, LUCAS SCHILLING, Asst.Prof. , MD Umur Kayabasi, Dr Javier Santabárbara, Dr Patricia Gracia-García, Ms Anais Sevil-Pérez, Ms Beatriz Villagrasa, Dr Raúl López-Antón, Assocaite Professor Ola Eid, Professor Maha Eid, Dr. Osman Farooq, Dr. Robert Miletich, Dr. Michelle Hartley-McAndrew, Dr Ana-Maria Bratu, Dr Cristina Popa (Achim), Dr Mioara Petrus, Professor Dan C. Dumitras, Dr Diana Delgado, Dr Kimberly Frame, Dr. Laura Casey, Dr. Olfa Ben-Ahmed, Pr. Christine Fernandez-Maloigne, Dr. Julian Adrien, Pr. Marc Paccalin, Mr Sandeep C S, Dr Sukesh Kumar A, Ms. Fatma El-Zahraa El-Gamal, Assoc. Prof. Mohammed Elmogy, Dr. Hassan Hajjdiab, Prof. Ashraf Khalil, Dr. Mohammed Ghazal, Dr. Ali Mahmoud, Prof. Hassan Soliman, Prof. Ahmed Atwan, Assoc. Prof. Gregory Barnes, Madam Yasmeen Farouk, Dr. Sherine Rady, Yaser ElNakieb, Ahmed Shalaby, Ashraf Khalil, Fatma Taher, Ahmed Soliman, Robert Keynton, Reem Haweel, Omar Dekhil, Said Ghniemy Edited by Ayman El-Baz, Jasjit Suri

Publication date:

15 November 2019

Length of book:

490 pages

Publisher

Institute Of Physics Publishing

Dimensions:

254x178mm
7x10"

Autism spectrum disorder (ASD) and Alzheimer’s disease (AD) are two significant neurological disorders, which represent the scope of this book. Both ASD and AD affect a significant number of the population and present in numerous ways. This volume covers the state-of-the-art topics that investigate these two significant neurological disorders from a theoretical perspective and focuses on the practical aspects. Materials are presented in a way that can be beneficial to advanced and layman readers and several cutting-edge machine learning techniques for the early diagnosis of ASD are presented in this book. Also, various studies are discussed to demonstrate the formation, cause, and medical treatments for the AD foetal disorder.

Table of Contents

Preface

Acknowledgement

Dedication

Chapter 1. Machine Learning Applications to Recognize Autism and Alzheimer’s disease

Chapter 2. Neuropathology and Neuroimaging of Alzheimer´s disease

Chapter 3. Retinal Imaging in Alzheimer’s Disease

Chapter 4. Clinically Relevant Depression And Risk Of Alzheimer Disease In Olders: Meta-Analysis Of Cohort Studies

Chapter 5. The Implication of Genetic Factors in Autism Spectrum Disorder and Alzheimer’s disease

Chapter 6. Nuclear Neurology of Autism Spectrum Disorders

Chapter 7. Ethylene and ammonia in neurobehavioral disorders

Chapter 8. Focusing on Parental Behavior Following a Diagnosis of Autism: The Important Role Parents Play and How Stress Can Impact this Role

Chapter 9. Visual saliency for medical imaging and computer-aided diagnosis

Chapter 10. The Early Diagnosis of Alzheimer’s Disease Using Advanced Biomedical Engineering Technology

Chapter 11. A Local/Regional Computer Aided System for the Diagnosis of the Mild Cognitive Impairment

Chapter 12. Identifying Alzheimer’s Disease using Feature Reduction of GLCM and Supervised Classification Techniques

Chapter 13. Current Trends and Considerations of Alzheimer’s Disease

Chapter 14. A Non-Invasive Image-Based Approach Toward an Early Diagnosis of Autism

Chapter 15. Towards a Robust CAD System for Early Diagnosis of Autism Using Structural MRI

Chapter 16. Computational Analysis Techniques: A Case Study on fMRI for Autism Spectrum Disorder

Chapter 17. Autism Diagnosis Using Task-Based Functional MRI