Neurofeedback And Neuromodulation Techniques And Applications

The study of neurofeedback and neuromodulation offer a window into brain physiology and function, suggesting innovative approaches to the improvement of attention, anxiety, pain, mood and behavior. Resources for understanding what neurofeedback and neuromodulation are, how they are used, and to what disorders and patients they can be applied are scarce, and this volume serves as an ideal tool for clinical researchers and practicing clinicians in both neuroscience and psychology to understand techniques, analysis, and their applications to specific patient populations and disorders. The top scholars in the field have been enlisted, and contributions offer both the breadth needed for an introductory scholar and the depth desired by a clinical professional. Includes the practical application of techniques to use with patients Includes integration of neurofeedback with neuromodulation techniques Discusses what the technique is, for which disorders it is effective, and the evidence basis behind its use Written at an appropriate level for clinicians and researchers

Rhythmic Stimulation Procedures in Neuromodulation offers a unique approach to rhythm-related stimulation as it pertains to modulating neural functioning, with the goal of alleviating symptoms of mental disorder. Rhythm and related concepts (frequency, resonance, entrainment) are thought by many to be closely linked to human health and disease. Neurologists and clinical psychologists facilitate neuroplasticity by using pulsed (rhythmic) sensory or electromagnetic stimulation—a group of techniques broadly referred to as neuromodulation. This edited volume describes details of rhythm-related neuromodulation techniques, and experts in the field have detailed the pros and cons of each approach, citing both clinical and scientific support. Each technique chapter provides a detailed description of the procedure, a rationale for application with specific populations, discussion of similarities/differences relative to other approaches, and support for efficacy. This volume offers readers a historical overview of the roles of rhythm and dysrhythmia in health and disease, including examples of past and present therapeutic uses of rhythmic stimulation, entrainment, and/or modification. It also facilitates speculation about potential developments in rhythm-related methods for the future of mental health. Few books published in the general area of rhythm have focused on the scientific study of the significance of biological rhythms. Discusses features of the generally unknown early history of using rhythmic stimulation procedures in treating various disorders Provides an overview of the extent to which rhythmic stimulation of various types are basic to the majority of alternative and complementary medicine fields Provides details of several of today’s more commonly used stimulation techniques for neuromodulation, discussing the theoretical foundations and limitations of each, and providing clinical and scientific research evidence for their treatment efficacy in specific applications Discusses current directions in which stimulation techniques are moving and speculates on the promise they hold for major changes in mental health care

Neurotherapy, sometimes called EEG biofeedback and/or neurobiofeedback involves techniques designed to manipulate brain waves through non-invasive means and are used as treatment for a variety of psychological and medical disorders. The disorders covered include ADHD, mood regulation, addiction, pain, sleep disorders, and traumatic brain injury. This book introduces specific techniques, related equipment and necessary training for the clinical practitioner. Sections focus on treatment for specific disorders and which individual techniques can be used to treat the same disorder and examples of application and the evidence base for use are described. An introduction for clinical practitioners and psychologists investigating neurotherapy techniques and application Includes coverage of common disorders such as ADHD, mood regulation, addiction, pain, sleep disorders, and traumatic brain injury Includes evidence base for use Includes training methods for new users

This book presents the modern technological advancements and revolutions in the biomedical sector. Progress in the contemporary sensing, Internet of Things (IoT) and machine learning algorithms and architectures have introduced new approaches in the mobile healthcare. A continuous observation of patients with critical health situation is required. It allows monitoring of their health status during daily life activities such as during sports, walking and sleeping. It is realizable by intelligently hybridizing the modern IoT framework, wireless biomedical implants and cloud computing. Such solutions are currently under development and in testing phases by healthcare and governmental institutions, research laboratories and biomedical companies. The biomedical signals such as electrocardiogram (ECG), electroencephalogram (EEG), Electromyography (EMG), phonocardiogram (PCG), Chronic Obstructive Pulmonary (COP), Electrooculography (EoG), photoplethysmography (PPG), and image modalities such as positron emission tomography (PET), magnetic resonance imaging (MRI) and computerized tomography (CT) are non-invasively acquired, measured, and processed via the biomedical sensors and gadgets. These signals and images represent the activities and conditions of human cardiovascular, neural, vision and cerebral systems. Multi-channel sensing of these signals and images with an appropriate granularity is required for an effective monitoring and diagnosis. It renders a big volume of data and its analysis is not feasible manually. Therefore, automated healthcare systems are in the process of evolution. These systems are mainly based on biomedical signal and image acquisition and sensing, preconditioning, features extraction and classification stages. The contemporary biomedical signal sensing, preconditioning, features extraction and intelligent machine and deep learning-based classification algorithms are described. Each chapter starts with the importance, problem statement and motivation. A self-sufficient description is provided. Therefore, each chapter can be read independently. To the best of the editors’ knowledge, this book is a comprehensive compilation on advances in non-invasive biomedical signal sensing and processing with machine and deep learning. We believe that theories, algorithms, realizations, applications, approaches, and challenges, which are presented in this book will have their impact and contribution in the design and development of modern and effective healthcare systems.

Technical Foundations of Neurofeedback provides, for the first time, an authoritative and complete account of the scientific and technical basis of EEG biofeedback. Beginning with the physiological origins of EEG rhythms, Collura describes the basis of measuring brain activity from the scalp and how brain rhythms reflect key brain regulatory processes. He then develops the theory as well as the practice of measuring, processing, and feeding back brain activity information for biofeedback training. Combining both a "top down" and a "bottom up" approach, Collura describes the core scientific principles, as well as current clinical experience and practical aspects of neurofeedback assessment and treatment therapy. Whether the reader has a technical need to understand neurofeedback, is a current or future neurofeedback practitioner, or only wants to understand the scientific basis of this important new field, this concise and authoritative book will be a key source of information. .

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the VI International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2017), which took place in Lyon on November 29 – December 1, 2017. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, network dynamics; diffusion, epidemics and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and ecological networks and technological networks.

Neurofeedback: The First Fifty Years features broadly recognized pioneers in the field sharing their views and contributions on the history of neurofeedback. With some of the pioneers of neurofeedback already passed on or aging, this book brings together the monumental contributions of renowned researchers and practitioners in an unprecedented, comprehensive volume. With the rapid and exciting advances in this dynamic field, this information is critical for neuroscientists, neurologists, neurophysiologists, cognitive and developmental psychologists and other practitioners, providing a clear presentation of the frontiers of this exciting and medically important area of physiology. Contains chapters that are individually authored by pioneers or well-known persons presently active in the neurofeedback field Provides personal and historical perspectives regarding important past and present developments and future needs Enables each author to discuss his or her unique contributions to the field Includes chapters noting the contributions of deceased neurofeedback pioneers

One of the leading causes of death and disability worldwide is brain injury. Most cases are mild, and the prevalence of disability and its impact are not well known. In the last 20 years neuroimaging technologies have changed the way we approach traumatic brain injury (TBI), especially mild injury (MTBI), and its sequelae. New treatment tools have been emerging in parallel with diagnostic technologies. Here, these noninvasive tools will be reviewed, especially those with therapeutic value that have a direct impact on brain function, either passively (operant conditioning, neurofeedback) or actively (transcranial electromagnetic stimulation). The main focus will be on EEG as a diagnostic and therapeutic tool for MTBI.