Journal ArticleDOI
Daily training with realistic visual feedback improves reproducibility of event-related desynchronisation following hand motor imagery.
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Realistic feedback training is a suitable method to acquire the skill to control a BCI system and highlights the possibility of improvement of reproducibility of ERD.About:
This article is published in Clinical Neurophysiology.The article was published on 2013-09-01. It has received 94 citations till now. The article focuses on the topics: Sensorimotor rhythm & Motor imagery.read more
Citations
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Journal ArticleDOI
EEG-Neurofeedback as a Tool to Modulate Cognition and Behavior: A Review Tutorial
TL;DR: A review tutorial discussing key aspects relevant to the development of electroencephalography (EEG) neurofeedback studies, based on a protocol and results of a frontal-midline theta up-regulation training for the improvement of executive functions.
Journal ArticleDOI
Noninvasive neuroimaging enhances continuous neural tracking for robotic device control
Bradley J. Edelman,Jianjun Meng,Daniel Suma,Claire Zurn,E. Nagarajan,Bryan Baxter,Christopher C. Cline,Bin He +7 more
TL;DR: This framework addresses and improves upon both the “brain” and “computer” components by increasing, respectively, user engagement through a continuous pursuit task and associated training paradigm and the spatial resolution of noninvasive neural data through EEG source imaging.
Journal ArticleDOI
The Senses of Agency and Ownership: A Review.
Niclas Braun,Niclas Braun,Stefan Debener,Nadine Spychala,Edith Bongartz,Peter Sörös,Helge H. O. Müller,Alexandra Philipsen +7 more
TL;DR: This review introduces both concepts, with a special focus also onto their interplay, and current experimental paradigms, results and neurocognitive theories about both concepts will be presented.
Journal ArticleDOI
A Closed-Loop Brain–Computer Interface Triggering an Active Ankle–Foot Orthosis for Inducing Cortical Neural Plasticity
Ren Xu,Ning Jiang,Natalie Mrachacz-Kersting,Chuang Lin,Guillermo Asin Prieto,Juan Moreno,Jose L Pons,Kim Dremstrup,Dario Farina +8 more
TL;DR: The proposed system provides a fast and effective approach for inducing cortical plasticity through BCI and has potential in motor function rehabilitation following stroke.
Journal ArticleDOI
Brain-machine interfaces for controlling lower-limb powered robotic systems.
Yongtian He,David Eguren,José M. Azorín,José M. Azorín,Robert G. Grossman,Trieu Phat Luu,Jose L. Contreras-Vidal +6 more
TL;DR: It is concluded that lower-body powered exoskeletons with automated gait intention detection based on BMIs open new possibilities in the assistance and rehabilitation fields, although the current performance, clinical benefits and several key challenging issues indicate that additional research and development is required to deploy these systems in the clinic and at home.
References
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Book
Neural networks for pattern recognition
TL;DR: This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition, and is designed as a text, with over 100 exercises, to benefit anyone involved in the fields of neural computation and pattern recognition.
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Brain-computer interfaces for communication and control.
Jonathan R. Wolpaw,Jonathan R. Wolpaw,Niels Birbaumer,Niels Birbaumer,Dennis J. McFarland,Gert Pfurtscheller,Theresa M. Vaughan +6 more
TL;DR: With adequate recognition and effective engagement of all issues, BCI systems could eventually provide an important new communication and control option for those with motor disabilities and might also give those without disabilities a supplementary control channel or a control channel useful in special circumstances.
Journal ArticleDOI
Event-related EEG/MEG synchronization and desynchronization: basic principles.
TL;DR: Quantification of ERD/ERS in time and space is demonstrated on data from a number of movement experiments, whereby either the same or different locations on the scalp can display ERD and ERS simultaneously.
Electroencephalography: Basic Principles, Clinical Applications and Related Fields, Fourth Edition
TL;DR: Historical aspects introduction to the neurophysiological basis of the EEG and DC potentials cellular substrates of spontaneous and evoked brain rhythms dynamics of EEG as signals and neuronal populations are introduced.
Book
Electroencephalography: Basic Principles, Clinical Applications, and Related Fields
TL;DR: The main thrust of Electroencephalography is to preserve the sound basis of classic EEG recording and reading and, on the other hand, to present the newest developments for future EEG/neurophysiology research, especially in view of the highest brain functions as mentioned in this paper.