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Proceedings of the Fourth International Workshop on Advances in Electrocorticography

Anthony Ritaccio, Peter Brunner, Nathan E. Crone, Aysegul Gunduz, Lawrence J. Hirsch, Nancy Kanwisher, Brian Litt, Kai Miller, Daniel Moran, Josef Parvizi, Nick Ramsey, Thomas J. Richner (+3 others)
2013 Epilepsy & Behavior  
The proceedings of the workshop serves as an accurate record of the most contemporary clinical and experimental work on brain surface recording and represents the insights of a unique multidisciplinary  ...  The Fourth International Workshop on Advances in Electrocorticography (ECoG) convened in New Orleans, LA, on October 11-12, 2012.  ...  Unfortunately, the optimal locations for recording a cortical control signal (primary motor cortex) and providing sensory stimulation (primary sensory cortex) are located right next to each other in the  ... 
doi:10.1016/j.yebeh.2013.08.012 pmid:24034899 pmcid:PMC3896917 fatcat:mg52e6mrlbff3n2d2qjv5vnwxq

Decoding Individual Finger Movements from One Hand Using Human EEG Signals

Ke Liao, Ran Xiao, Jania Gonzalez, Lei Ding, Wang Zhan
2014 PLoS ONE  
The average decoding accuracy of 77.11% over all subjects was obtained in classifying each pair of fingers from one hand using movement-related spectral changes as features to be decoded using a support  ...  The present study suggests the similar movement-related spectral changes in EEG as in ECoG, and demonstrates the feasibility of discriminating finger movements from one hand using EEG.  ...  Acknowledgments The authors would like to thank Dr. Kai J. Miller and Dr. Gerwin Schalk for data providing of BCI Competition IV data set 4.  ... 
doi:10.1371/journal.pone.0085192 pmid:24416360 pmcid:PMC3885680 fatcat:eppcwfrzijajxos2gv3ugkbysy

Development of speech prostheses: current status and recent advances

Jonathan S Brumberg, Frank H Guenther
2010 Expert Review of Medical Devices  
Recent research has sought to improve on existing techniques by using BCIs to create a direct prediction of speech utterances rather than to simply control a spelling device.  ...  Brain-computer interfaces (BCIs) have been developed over the past decade to restore communication to persons with severe paralysis.  ...  Acknowledgments The authors wish to thank Sara Rosenbaum for her assistance in the preparation of this manuscript.  ... 
doi:10.1586/erd.10.34 pmid:20822389 pmcid:PMC2953242 fatcat:eztvakjqpff2zgi7cmvjv5fd6e

Inferring hand movement kinematics from MEG, EEG and intracranial EEG: From brain-machine interfaces to motor rehabilitation

K. Jerbi, J.R. Vidal, J. Mattout, E. Maby, F. Lecaignard, T. Ossandon, C.M. Hamamé, S.S. Dalal, R. Bouet, J.-P. Lachaux, R.M. Leahy, S. Baillet (+3 others)
2011 IRBM  
Invasive BMI systems can successfully decode movement trajectories from the spiking activity of neurons in primary motor cortex and posterior parietal cortex.  ...  First, a growing body of research over the last decade has shown that the local field potential (LFP) signal, which represents the summed activity of a neuronal population, can encode movement parameters  ...  Acknowledgements Funding was provided by the Fondation pour la Recherche Médicale (FRM) and in part by OpenViBE 2 (ANR-RNTL) and NIH grants R01 EB002010 and R01 EB009048.  ... 
doi:10.1016/j.irbm.2010.12.004 fatcat:ywwpr6wqmzav3gmkptexncpiiq

Temporal alignment of electrocorticographic recordings for upper limb movement

Omid Talakoub, Milos R. Popovic, Jessie Navaro, Clement Hamani, Erich T. Fonoff, Willy Wong
2015 Frontiers in Neuroscience  
Four subjects had electrocorticographic (ECoG) electrodes implanted over their primary motor cortex and were asked to perform reaching and retrieving tasks using the upper limb contralateral to the site  ...  A common approach is to classify the brain activity into a number of templates or states. To find these templates, the neural responses are averaged over each movement task.  ...  In this study, we processed the activity of the motor cortex recorded from two ECoG contacts in a bipolar arrangement.  ... 
doi:10.3389/fnins.2014.00431 pmid:25628522 pmcid:PMC4292555 fatcat:kqupnrtd7be4jjjinf7alz7wre

Human motor cortex relies on sparse and action-specific activation during laughing, smiling and speech production

Markus Kern, Sina Bert, Olga Glanz, Andreas Schulze-Bonhage, Tonio Ball
2019 Communications Biology  
Here, we utilized the high spatiotemporal resolution of subdural recordings to elucidate how human motor cortex is functionally engaged during control of real-life orofacial motor behaviour.  ...  For each investigated movement class-lip licking, speech production, laughing and smiling-our findings reveal a characteristic brain activity pattern within the mouth motor cortex with both spatial segregation  ...  Data availability The data that support the findings of this study are available from the corresponding authors upon request.  ... 
doi:10.1038/s42003-019-0360-3 pmid:30937400 pmcid:PMC6435746 fatcat:62y52skqsjfaxm2gdoh4eyaxoa

Summary of over Fifty Years with Brain-Computer Interfaces—A Review

Aleksandra Kawala-Sterniuk, Natalia Browarska, Amir Al-Bakri, Mariusz Pelc, Jaroslaw Zygarlicki, Michaela Sidikova, Radek Martinek, Edward Jacek Gorzelanczyk
2021 Brain Sciences  
In this work we present the most relevant aspects of the BCIs and all the milestones that have been made over nearly 50-year history of this research domain.  ...  Over the last few decades, the Brain-Computer Interfaces have been gradually making their way to the epicenter of scientific interest.  ...  Participant of this study was chronically paralyzed and had an intracortical recording array implanted in the primary motor cortex M1.  ... 
doi:10.3390/brainsci11010043 pmid:33401571 fatcat:6w2swr23qffndeogg6hewvfjoa

Brain–computer interfaces for communication and control

Jonathan R Wolpaw, Niels Birbaumer, Dennis J McFarland, Gert Pfurtscheller, Theresa M Vaughan
2002 Clinical Neurophysiology  
Over the past 15 years, productive BCI research programs have arisen.  ...  Present-day BCIs determine the intent of the user from a variety of different electrophysiological signals.  ...  of Health (NIH) in the USA, by the Deutsche Forschungsgemeinschaft (DFG) in Germany, and by the Fonds zur Förderung der wissenschaftlichen Forschung in Austria.  ... 
doi:10.1016/s1388-2457(02)00057-3 pmid:12048038 fatcat:awoe7qbbrvha3h2fyqtcenecfy

Brain-computer interfaces for communication and control

Dennis J. McFarland, Jonathan R. Wolpaw
2011 Communications of the ACM  
Over the past 15 years, productive BCI research programs have arisen.  ...  Present-day BCIs determine the intent of the user from a variety of different electrophysiological signals.  ...  of Health (NIH) in the USA, by the Deutsche Forschungsgemeinschaft (DFG) in Germany, and by the Fonds zur Förderung der wissenschaftlichen Forschung in Austria.  ... 
doi:10.1145/1941487.1941506 pmid:21984822 pmcid:PMC3188401 fatcat:keijyl7gind2pnkzzio64lkwuy

Emulation of computer mouse control with a noninvasive brain–computer interface

Dennis J McFarland, Dean J Krusienski, William A Sarnacki, Jonathan R Wolpaw
2008 Journal of Neural Engineering  
sequential control of a robotic arm or a neuroprosthesis.  ...  The user's task was to use EEG to move a cursor from the center of the screen to the correct target and then to use an additional EEG feature to select the target.  ...  This work was supported in part by grants from NIH (HD30146 (NCMRR, NICHD) and EB00856 (NIBIB and NINDS)) and the James S McDonnell Foundation.  ... 
doi:10.1088/1741-2560/5/2/001 pmid:18367779 pmcid:PMC2757111 fatcat:3vuph4w44vfn7kgahe6tgtg7rq

A binary method for simple and accurate two-dimensional cursor control from EEG with minimal subject training

Turan A Kayagil, Ou Bai, Craig S Henriquez, Peter Lin, Stephen J Furlani, Sherry Vorbach, Mark Hallett
2009 Journal of NeuroEngineering and Rehabilitation  
(2-D) control of a cursor on a computer screen, with simple threshold-based binary classification of band power readings taken over pre-defined time windows during subject hand movement.  ...  The best subject achieved a control accuracy of 96%, with only one incorrect bit classification out of 47.  ...  Acknowledgements This research was supported by the Intramural Research Program of the NIH (National Institute of Neurological Disorders and Stroke). We thank Dr.  ... 
doi:10.1186/1743-0003-6-14 pmid:19419576 pmcid:PMC2683855 fatcat:tesc3pg4bfcgzoxh53h23364za

Brain Computer Interfaces for Cerebral Palsy [chapter]

Pedro Ponce, Arturo Molina, David C., Dimitra Grammatikou
2014 Cerebral Palsy - Challenges for the Future  
Invasive techniques such single-neuron recording and ECoG take recordings over the cortex while single-neuron recording records the activity within the cortex, ECoG records the activity over the cortical  ...  Figure 2 . 2 Exemplification on EEG (a), ECoG (b) and Single-neuron recording (c) electrode placement over the head Figure 3 . 3 Examples of non-invasive BCI, with visual stimuli and virtual control  ... 
doi:10.5772/57084 fatcat:jc6kxnvmpzakthwardmpxfcqou

Progress in EEG-Based Brain Robot Interaction Systems

Xiaoqian Mao, Mengfan Li, Wei Li, Linwei Niu, Bin Xian, Ming Zeng, Genshe Chen
2017 Computational Intelligence and Neuroscience  
Compared with other BCI applications, such as word speller, the development of these applications may be more challenging since control of robot systems via brainwaves must consider surrounding environment  ...  The key issue of a BRI system is to identify human mental activities, by decoding brainwaves, acquired with an EEG device.  ...  Acknowledgments This research work was funded by the National Natural Science Foundation of China under Grant no. 61473207.  ... 
doi:10.1155/2017/1742862 pmid:28484488 pmcid:PMC5397651 fatcat:fujnky5jgfespcz73zw2qzn44e

Developing a 3- to 6-state EEG-based brain-computer interface for a robotic manipulator control [article]

Yuriy Mishchenko, Murat Kaya, Erkan Ozbay, Hilmi Yanar
2017 bioRxiv   pre-print
The participants' ability to control the BCI is quantified by using the percentage of successfully completed BCI tasks, the time required to complete a task, and the error rate. 2 participants were able  ...  We further implement an online BCI system for control of a virtual 3 degree-of-freedom prosthetic manipulator and test it with our 3 best participants.  ...  [24] reported results for a tetraplegic human patient implanted with a 96microelectrode array in the primary motor cortex area.  ... 
doi:10.1101/171025 fatcat:zip6k7fjzfepdlfq6pbe5bb65i

Decoding Imagined and Spoken Phrases From Non-invasive Neural (MEG) Signals

Debadatta Dash, Paul Ferrari, Jun Wang
2020 Frontiers in Neuroscience  
The other was convolutional neural networks (CNNs) applied on the spatial, spectral and temporal features extracted from the MEG signals.  ...  The neural pathway may be the only option to resume a certain level of communication for these patients.  ...  Daragh Heitzman, Kristin Teplansky, Saara Raja, and the volunteering participants.  ... 
doi:10.3389/fnins.2020.00290 pmid:32317917 pmcid:PMC7154084 fatcat:o7exd5plyjhfnmitlt7qnotf34
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