| Description |
1 online resource (xvii, 235 pages) : illustrations (some color) |
| Contents |
1. Introduction: Depression and Challenges; 2. EEG Fundamentals; 3. EEG-Based Brain Functional Connectivity and Clinical Implications; 4. Pathophysiology of Depression; 5. Using EEG for Diagnosing and Treating Depression; 6. Neural Circuits and EEG Based Neurobiology for Depression; 7. Design of EEG Experiment for Assessing MDD; 8. EEG-based Diagnosis of Depression; 9. EEG-based Treatment Efficacy Assessment Involving Depression |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed May 23, 2019) |
| Subject |
Electroencephalography -- Methodology
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Depression, Mental.
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Brain -- Research.
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Depressive Disorder, Major -- diagnosis
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Electroencephalography -- methods
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Machine Learning
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HEALTH & FITNESS -- Diseases -- General.
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MEDICAL -- Clinical Medicine.
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MEDICAL -- Diseases.
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MEDICAL -- Evidence-Based Medicine.
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MEDICAL -- Internal Medicine.
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Brain -- Research
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Depression, Mental
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| Form |
Electronic book
|
| Author |
Mumtaz, Wajid, author
|
| ISBN |
9780128174210 |
|
0128174218 |
|
9780128174203 |
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012817420X |
|
