EEG Based Experiment Design for Major Depressive Disorder

Download or read online book entitled EEG Based Experiment Design for Major Depressive Disorder written by Aamir Saeed Malik and published by Academic Press. This book was released on 15 June 2019 with total page 300 pages. Available in PDF, EPUB and Kindle. Get best books that you want by click Get Book Button and Read as many books as you like. Book Excerpt : EEG-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis introduces EEG-based machine learning solutions for the diagnosis and assessment of treatment efficacy for a variety of conditions. With a unique combination of background and practical perspectives for the use of automated EEG methods for mental illness, it details how to design a successful experiment, providing experimental designs for both clinical and behavioral applications. In addition, the book details the pathophysiology of several conditions, including depression, anxiety and epilepsy, along with neural circuits and detailed options for diagnosis. Written to assist in neuroscience experiment design using EEG Provides a step-by-step approach for designing clinical experiments using EEG Includes example datasets for affected individuals and healthy controls Lists inclusion and exclusion criteria to help identify experiment subjects Features appendices detailing subjective tests for screening patients Examines applications for personalized treatment decisions