EEG Based Experiment Design for Major Depressive Disorder

Download or Read online EEG Based Experiment Design for Major Depressive Disorder full in PDF, ePub and kindle. This book written by Aamir Saeed Malik and published by Academic Press which was released on 16 May 2019 with total pages 254. We cannot guarantee that EEG Based Experiment Design for Major Depressive Disorder book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

EEG Based Experiment Design for Major Depressive Disorder
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Publisher : Academic Press
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ISBN : 9780128174210
Pages : 254 pages
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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. 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

EEG Based Experiment Design for Major Depressive Disorder

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

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Designing EEG Experiments for Studying the Brain

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