رابط‌های مغز و کامپیوتر: آزمایش‌های آزمایشگاهی تا کاربردهای دنیای واقعی (جلد ۲۲۸) (پیشرفت در تحقیقات مغز، جلد ۲۲۸)

While being very promising for a wide range of applications, mental-imagery-based brain-computer interfaces (MI-BCIs) remain barely used outside laboratories, notably due to the difficulties users encounter when attempting to control them. Indeed, 10-30% of users are unable to control MI-BCIs (so-called BCI illiteracy) while only a small proportion reach acceptable control abilities. This huge interuser variability has led the community to investigate potential predictors of performance related to users' personality and cognitive profile. Based on a literature review, we propose a classification of these MI-BCI performance predictors into three categories representing high-level cognitive concepts: (1) users' relationship with the technology (including the notions of computer anxiety and sense of agency), (2) attention, and (3) spatial abilities. We detail these concepts and their neural correlates in order to better understand their relationship with MI-BCI user-training. Consequently, we propose, by way of future prospects, some guidelines to improve MI-BCI user-training. Content: Series Page Page ii Copyright Page iv Contributors Pages v-viii Preface Pages xvii-xviii Damien Coyle Chapter 1 - Advances in user-training for mental-imagery-based BCI control: Psychological and cognitive factors and their neural correlates Pages 3-35 C. Jeunet, B. N’Kaoua, F. Lotte Chapter 2 - From classic motor imagery to complex movement intention decoding: The noninvasive Graz-BCI approach Pages 39-70 G.R. Müller-Putz, A. Schwarz, J. Pereira, P. Ofner Chapter 3 - 3D hand motion trajectory prediction from EEG mu and beta bandpower Pages 71-105 A. Korik, R. Sosnik, N. Siddique, D. Coyle Chapter 4 - Multisession, noninvasive closed-loop neuroprosthetic control of grasping by upper limb amputees Pages 107-128 H.A. Agashe, A.Y. Paek, J.L. Contreras-Vidal Chapter 5 - Brain–computer interfaces in the completely locked-in state and chronic stroke Pages 131-161 U. Chaudhary, N. Birbaumer, A. Ramos-Murguialday Chapter 6 - Brain–machine interfaces for rehabilitation of poststroke hemiplegia Pages 163-183 J. Ushiba, S.R. Soekadar Chapter 7 - Neural and cortical analysis of swallowing and detection of motor imagery of swallow for dysphagia rehabilitation—A review Pages 185-219 H. Yang, K.K. Ang, C. Wang, K.S. Phua, C. Guan Chapter 8 - A cognitive brain–computer interface for patients with amyotrophic lateral sclerosis Pages 221-239 M.R. Hohmann, T. Fomina, V. Jayaram, N. Widmann, C. Förster, J. Just, M. Synofzik, B. Schölkopf, L. Schöls, M. Grosse-Wentrup Chapter 9 - Brain–computer interfaces for patients with disorders of consciousness Pages 241-291 R.M. Gibson, A.M. Owen, D. Cruse Chapter 10 - A passive brain–computer interface application for the mental workload assessment on professional air traffic controllers during realistic air traffic control tasks Pages 295-328 P. Aricò, G. Borghini, G. Di Flumeri, A. Colosimo, S. Pozzi, F. Babiloni Chapter 11 - 3D graphics, virtual reality, and motion-onset visual evoked potentials in neurogaming Pages 329-353 R. Beveridge, S. Wilson, D. Coyle Chapter 12 - Interfacing brain with computer to improve communication and rehabilitation after brain damage Pages 357-387 A. Riccio, F. Pichiorri, F. Schettini, J. Toppi, M. Risetti, R. Formisano, M. Molinari, L. Astolfi, F. Cincotti, D. Mattia Chapter 13 - BCI in practice Pages 389-404 D.J. McFarland, T.M. Vaughan Index Pages 405-412 Other volumes in Progress in Brain Research Pages 413-415 "Progress in noninvasive electroencephalography (EEG)-based brain-computer interface (BCI) research, development and innovation has accelerated in recent years. New brain signal signatures for inferring user intent and more complex control strategies have been the focus of many recent investigations. Major advances in recording technology, signal processing techniques, and clinical applications, tested with patient cohorts, as well as nonclinical applications, have been reported. This volume presents a timely snapshot of some of the current trends and state of the art in these areas, with an emphasis placed on the underlying neurology and neurophysiologic signaling underpinning the BCIs presented, with all contributions centered around EEG but relevant to all other neuroimaging/brain recording modalities"-- Prefacio "Progress in noninvasive electroencephalography (EEG)-based brain-computer interface (BCI) research, development and innovation has accelerated in recent years. New brain signal signatures for inferring user intent and more complex control strategies have been the focus of many recent investigations. Major advances in recording technology, signal processing techniques, and clinical applications, tested with patient cohorts, as well as nonclinical applications, have been reported. This volume presents a timely snapshot of some of the current trends and state of the art in these areas, with an emphasis placed on the underlying neurology and neurophysiologic signaling underpinning the BCIs presented, with all contributions centered around EEG but relevant to all other neuroimaging/brain recording modalities"-- Preface

Brain-Computer Interfaces: Lab Experiments to Real-World Applications, the latest volume in the Progress in Brain Research series, focuses on new trends and developments. This established international series examines major areas of basic and clinical research within the neurosciences, as well as popular and emerging subfields.

• Explores new trends and developments in brain research
• Enhances the literature of neuroscience by further expanding this established, ongoing international series
• Examines major areas of basic and clinical research within the field