Transcranial Magnetic and Electrical Brain Stimulation for Neurological Disorders

1. Foundation of Electromagnetic Theory
2. All About Wave Equations
3. Computational Neuroscience and Compartmental Modeling
4. Disorders of the Brain
5. Electrical Brain Stimulation Methods to Treat Neurological Disorders
6. Brain Stimulation Therapies
7. Artificial Intelligence Driven by Machine Learning and Deep Learning
8. TMS-AI Combination Mental Health and Depression Treatment
9. The Impact of Technology on Mental Health

Transcranial Magnetic and Electrical Brain Stimulation for Neurological Disorders examines the non-invasive application of electrical stimulation of the brain to treat neurological disorders, and to enhance individual/group performance. This volume discusses emerging electro-technologies such as transcranial direct current/alternating current electric fields and pulsed magnetic fields to treat many of these common medical problems. Chapters begin by examining foundations of electromagnetic theory and wave equations that underly these technologies before discussing methods to treat disorders, the impact of technology and mental health and artificial intelligence. Discussing over 40 neurological diseases, this book presents coverage of techniques to treat stroke, epilepsy, Alzheimer’s Disease, Parkinson’s Disease, Huntington’s Disease, depression, schizophrenia, and many other diseases of the nervous system.

Key Features

• Compares techniques so users can select ideal methods for their experiment
• Provides a focused tutorial introduction to core diseases of the nervous system, including stroke, epilepsy, Alzheimer’s, Parkinson’s, head and spinal cord trauma, schizophrenia, and more
• Covers more than 40 diseases, from foundational science to the best treatment protocols
• Includes discussions of translational research, drug discovery, personalized medicine, ethics and neuroscience
• Provides walk-through boxes that guide students step-by-step through the experiment

Readership
Neurologists, neuroscientists, psychologists, clinicians, biomedical scientists, post-doctoral fellows, researchers.

About the Authors

Bahman Zohuri
Dr. Bahman Zohuri is currently an Adjunct Professor at Artificial Intelligence Scientist at Golden Gate University, San Francisco California, while he also is Research Associate Professor at Electrical Engineering and Computer Science at University of New Mexico at Albuquerque. He is also consulting through his own consulting company that he stared himself in 1991. He has also been a consultant at Sandia National Laboratory after leaving the United States Navy. Dr. Zohuri earned his Bachelor’s and Master’s degrees in Physics from the University of Illinois and his second Master degree in Mechanical Engineering as well as his Doctorate in Nuclear Engineering from University of New Mexico. He has been awarded three patents and has published more than 40 textbooks and numerous other journal publications.

Affiliations and Expertise
Adjunct Professor, Artificial Intelligence Scientist at Golden Gate University, San Francisco, CA; Research Associate Professor, Electrical Engineering and Computer Science, University if New Mexico, Albuquerque, New Mexico, USA

Patrick McDaniel
Dr. Patrick McDaniel is-currently Research Professor in the Department of Nuclear Engineering, University of New Mexico. Dr. McDaniel began his career as a pilot and maintenance officer in the U.S. Air Force. After leaving the Air Force and obtaining his doctorate at Purdue University, he worked at Sandia National Laboratories. He left Sandia to become the technical leader for Phillips Laboratory’s (which became part of the Air Force Research Laboratory) Satellite Assessment Center. Having taught at the University of New Mexico in the Graduate Nuclear engineering program for 25 years, when he retired from Sandia in early 2009, he joined the faculty at the University of New Mexico full time. Dr. McDaniel holds a PhD in Nuclear Engineering from Purdue University, an MS in Resource Management from the Industrial College of the Armed Forces, an MS from CalTech in Mechanical Engineering, and a BS in Engineering Science from the USAF Academy.

Affiliations and Expertise
Research Professor, Department of Nuclear Engineering, University of New Mexico, Albuquerque, New Mexico, USA