EEG-Based Experiment Design for Major Depressive Disorder
Machine Learning and Psychiatric Diagnosis
Aamir Saeed Malik author Wajid Mumtaz author
Format:Paperback
Publisher:Elsevier Science Publishing Co Inc
Published:17th May '19
Currently unavailable, and unfortunately no date known when it will be back
EEG-Based Experiment Design for Major Depressive Disorder: Machine Learning and Psychiatric Diagnosis introduces EEG-based machine learning solutions for 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 for readers how to design a successful experiment, providing experiment designs for both clinical and behavioral applications. This book details the EEG-based functional connectivity correlates for several conditions, including depression, anxiety, and epilepsy, along with pathophysiology of depression, underlying neural circuits and detailed options for diagnosis. It is a necessary read for those interested in developing EEG methods for addressing challenges for mental illness and researchers exploring automated methods for diagnosis and objective treatment assessment.
ISBN: 9780128174203
Dimensions: unknown
Weight: 450g
254 pages