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 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

Designing EEG Experiments for Studying the Brain: Design Code and Example Datasets details the design of various brain experiments using electroencephalogram (EEG). Providing guidelines for designing an EEG experiment, it is primarily for researchers who want to venture into this field by designing their own experiments as well as those who are excited about neuroscience and want to explore various applications related to the brain. The first chapter describes how to design an EEG experiment and details the various parameters that should be considered for success, while remaining chapters provide experiment design for a number of neurological applications, both clinical and behavioral. As each chapter is accompanied with experiment design codes and example datasets, those interested can quickly design their own experiments or use the current design for their own purposes. Helpful appendices provide various forms for one’s experiment including recruitment forms, feedback forms, ethics forms, and recommendations for related hardware equipment and software for data acquisition, processing, and analysis. Written to assist neuroscientists in experiment designs using EEG Presents a step-by-step approach to designing both clinical and behavioral EEG experiments Includes experiment design codes and example datasets Provides inclusion and exclusion criteria to help correctly identify experiment subjects and the minimum number of samples Includes appendices that provide recruitment forms, ethics forms, and various subjective tests associated with each of the chapters

Depression is a widespread condition affecting approximately 7.5 million parents in the U.S. each year and may be putting at least 15 million children at risk for adverse health outcomes. Based on evidentiary studies, major depression in either parent can interfere with parenting quality and increase the risk of children developing mental, behavioral and social problems. Depression in Parents, Parenting, and Children highlights disparities in the prevalence, identification, treatment, and prevention of parental depression among different sociodemographic populations. It also outlines strategies for effective intervention and identifies the need for a more interdisciplinary approach that takes biological, psychological, behavioral, interpersonal, and social contexts into consideration. A major challenge to the effective management of parental depression is developing a treatment and prevention strategy that can be introduced within a two-generation framework, conducive for parents and their children. Thus far, both the federal and state response to the problem has been fragmented, poorly funded, and lacking proper oversight. This study examines options for widespread implementation of best practices as well as strategies that can be effective in diverse service settings for diverse populations of children and their families. The delivery of adequate screening and successful detection and treatment of a depressive illness and prevention of its effects on parenting and the health of children is a formidable challenge to modern health care systems. This study offers seven solid recommendations designed to increase awareness about and remove barriers to care for both the depressed adult and prevention of effects in the child. The report will be of particular interest to federal health officers, mental and behavioral health providers in diverse parts of health care delivery systems, health policy staff, state legislators, and the general public.

fMRI Neurofeedback provides a perspective on how the field of functional magnetic resonance imaging (fMRI) neurofeedback has evolved, an introduction to state-of-the-art methods used for fMRI neurofeedback, a review of published neuroscientific and clinical applications, and a discussion of relevant ethical considerations. It gives a view of the ongoing research challenges throughout and provides guidance for researchers new to the field on the practical implementation and design of fMRI neurofeedback protocols. This book is designed to be accessible to all scientists and clinicians interested in conducting fMRI neurofeedback research, addressing the variety of different knowledge gaps that readers may have given their varied backgrounds and avoiding field-specific jargon. The book, therefore, will be suitable for engineers, computer scientists, neuroscientists, psychologists, and physicians working in fMRI neurofeedback. Provides a reference on fMRI neurofeedback covering history, methods, mechanisms, clinical applications, and basic research, as well as ethical considerations Offers contributions from international experts—leading research groups are represented, including from Europe, Japan, Israel, and the United States Includes coverage of data analytic methods, study design, neuroscience mechanisms, and clinical considerations Presents a perspective on future translational development

Stress has been a prevalent part of modern life, particularly during the time of the pandemic. While short-term stress may cause little harm to productivity, if left untreated for a long period of time, it could eventually lead to anxiety and depression, which significantly decrease the quality of life. Such a problem is even more severe among students. A recent survey conducted in 2020 with 15,346 graduate and professional students had shown that 32% of them screened positive for major depressive disorder. This study, which took place in a real-world classroom, aims to uncover some of the neuronal mechanisms behind stress among young adults with their recorded EEG data. Such understanding could provide the theoretical foundation for stress reduction and prevention techniques such as real-time stress detection and non-invasive neurostimulation. This thesis is structured into four chapters. In the first chapter, the author introduced the importance of the problem, the experiment design, and the dataset. In the next chapter, the author began the stress analysis by studying the power spectral density of the 30 EEG electrodes. Results showed that most theta (4-8Hz) and alpha (8-13Hz) frequency bands in the frontal, central, and right parietal regions showed statistical significance among the elevated and normal stress groups. While the power spectra information is helpful for understanding stress, it is important to remember that EEG signals are mixtures of source activities, which makes the underlying source activities and locations unknown. Thus, in chapter three, the author decomposed the EEG data into independent sources using Independent Component Analysis (ICA) and analyzed the effect of stress in terms of cortical source activities. The results showed that some sources responded to stress while others did not. One limitation of this study was that each source was analyzed individually. Thus, in the final chapter, the author focused on exploring the interactions between regions (i.e. effective connectivity) under stress. The results showed that the information inflow and outflow near the central region were statistically different between the elevated stress and normal stress groups.

This unique volume focuses on the relationship between basic research in emotion and emotional dysfunction in depression and anxiety. Each chapter is authored by a highly regarded scientist who looks at both psychological and biological implications of research relevant to psychiatrists and psychologists. And following each chapter is engaging commentary that raises questions, illuminates connections with other bodies of work, and provides points of integration across different research traditions. Topics range from stress, cognitive functioning, and personality to affective style and behavioral inhibition, and the book as a whole has significant implications for understanding and treating anxiety disorders.

This volume addresses one of the Holy Grails in Psychiatry, namely the evidence for and potential to adopt ‘Biomarkers’ for prevention, diagnosis, and treatment responses in mental health conditions. It meshes together state of the art research from international renowned pre-clinical and clinical scientists to illustrate how the fields of anxiety disorders, depression, psychotic disorders, and autism spectrum disorder have advanced in recent years.

Psychiatric clinicians should use rating scales and questionnaires often, for they not only facilitate targeted diagnoses and treatment; they also facilitate links to empirical literature and systematize the entire process of management. Clinically oriented and highly practical, the Handbook of Clinical Rating Scales and Assessment in Psychiatry and Mental Health is an ideal tool for the busy psychiatrist, clinical psychologist, family physician, or social worker. In this ground-breaking text, leading researchers provide reviews of the most commonly used outcome and screening measures for the major psychiatric diagnoses and treatment scenarios. The full range of psychiatric disorders are covered in brief but thorough chapters, each of which provides a concise review of measurement issues related to the relevant condition, along with recommendations on which dimensions to measure – and when. The Handbook also includes ready-to-photocopy versions of the most popular, valid, and reliable scales and checklists, along with scoring keys and links to websites containing on-line versions. Moreover, the Handbook describes well known, structured, diagnostic interviews and the specialized training requirements for each. It also includes details of popular psychological tests (such as neuropsychological, personality, and projective tests), along with practical guidelines on when to request psychological testing, how to discuss the case with the assessment consultant and how to integrate information from the final testing report into treatment. Focused and immensely useful, the Handbook of Clinical Rating Scales and Assessment in Psychiatry and Mental Health is an invaluable resource for all clinicians who care for patients with psychiatric disorders.

The four volume set LNCS 9489, LNCS 9490, LNCS 9491, and LNCS 9492 constitutes the proceedings of the 22nd International Conference on Neural Information Processing, ICONIP 2015, held in Istanbul, Turkey, in November 2015. The 231 full papers presented were carefully reviewed and selected from 375 submissions. The 4 volumes represent topical sections containing articles on Learning Algorithms and Classification Systems; Artificial Intelligence and Neural Networks: Theory, Design, and Applications; Image and Signal Processing; and Intelligent Social Networks.

This description and classification of the electrophysiologic features of drowsiness in normal adults offers a new technique for investigation of sleep-wake and other disorders.