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Mounting evidence in the last years has demonstrated that self-regulation of brain activity can successfully be achieved by neurofeedback (NF). These methodologies have constituted themselves as new tools for cognitive neuroscience establishing causal links between voluntary brain activations and cognition and behavior, and as potential novel approaches for clinical applications in severe neuropsychiatric disorders (e.g. schizophrenia, depression, Parkinson´s disease, etc.). Current developments of brain imaging-based neurofeedback include the study of the behavioral modifications and neural reorganization produced by learned regulation of the activity of circumscribed brain regions and neu...
In this volume the authors explore the landscape of thought on the ethical and policy implications of Brain Computer Interface (BCI) technology. BCI technology is a promising and rapidly advancing research area. Recent developments in the technology, based on animal and human studies, allow for the restoration and potential augmentation of faculties of perception and physical movement, and even the transfer of information between brains. Brain activity can be interpreted through both invasive and non-invasive monitoring devices, allowing for novel, therapeutic solutions for individuals with disabilities and for other non-medical applications. However, a number of ethical and policy issues ha...
Each year, the Annual BCI Research Award recognizes the top new projects in brain-computer interface (BCI) research. This book contains summaries of these projects from the 2017 BCI Research Award. Each chapter is written by the group that submitted the BCI project that was nominated, and introduction and discussion chapters provide supporting information and explore trends that are reflected in the annual awards each year. One of the prominent trends in recent years has been BCIs for new patient groups, and many chapters in this book present emerging research directions that might become more prevalent in the near future.
The impaired brain has often been difficult to rehabilitate owing to limited knowledge of the brain system. Recently, advanced imaging techniques such as fMRI and MEG have allowed researchers to investigate spatiotemporal dynamics in the living human brain. Consequently, knowledge in systems neuroscience is now rapidly growing. Advanced techniques have found practical application by providing new prosthetics, such as brain–machine interfaces, expanding the range of activities of persons with disabilities, or the elderly. The book’s chapters are authored by researchers from various research fields such as systems neuroscience, rehabilitation, neurology, psychology and engineering. The book explores the latest advancements in neurorehabilitation, plasticity and brain–machine interfaces among others and constitutes a solid foundation for researchers who aim to contribute to the science of brain function disabilities and ultimately to the well-being of patients and the elderly worldwide.
This Special Issue covers several recent advances in robotic devices applied to motor rehabilitation and assistance. The Special Issue has collected eight outstanding papers covering different aspects of assistance robotics and biosensors. The selected contributions cover several main topics related to assistance robotics, from the control of myoelectric prostheses to the rehabilitation and assistance of the lower and upper limbs.
Rapidly growing knowledge in systems neuroscience may contribute to expand the range of activities in persons with disabilities, but in its practical application, cooperation between experts in different research fields is necessary. In this conference, the guest speakers and audiences will be from wide range of research fields; e.g., systems-neuroscience, neurology, engineering, psychology, and the attendees will discuss the possibilities.
Restoring human motor and cognitive function has been a fascinating research area during the last century. Interfacing the human nervous system with electro-mechanical rehabilitation machines is facing its crucial passage from research to clinical practice, enhancing the potentiality of therapists, clinicians and researchers to rehabilitate, diagnose and generate knowledge. The 2012 International Conference on Neurorehabilitation (ICNR2012) brings together researchers and students from the fields of Clinical Rehabilitation, Applied Neurophysiology and Biomedical Engineering, covering a wide range of research topics: · Clinical Impact of Technology · Brain-Computer Interface in Rehabilitati...