Real-time two-dimensional asynchronous control of a computer cursor with a single subdural electrode

References

• McFarland DJ, Krusienski DJ, Sarnacki WA, Wolpaw JR. Emulation of computer mouse control with a noninvasive brain-computer interface. J Neural Eng 2008;5(2):101–10.
   PubMed Web of Science ®Google Scholar
• Mason SG, Bashashati A, Fatourechi M, Navarro KF, Birch GE. A comprehensive survey of brain interface technology designs. Ann Biomed Eng 2007;35(2):137–69.
   PubMed Web of Science ®Google Scholar
• Huggins JE, Levine SP, BeMent SL, Kushwaha RK, Schuh LA, et al. Detection of event-related potentials for development of a direct brain interface. J Clin Neurophysiol 1999;16(5):448–55.
   PubMed Web of Science ®Google Scholar
• Levine SP, Huggins JE, BeMent SL, Kushwaha RK, Schuh LA, et al. Identification of electrocorticogram patterns as the basis for a direct brain interface. J Clin Neurophysiol 1999;16(5):439–47.
   PubMed Web of Science ®Google Scholar
• Levine SP, Huggins JE, BeMent SL, Kushwaha RK, Schuh LA, et al. A direct brain interface based on event-related potentials. IEEE Trans Rehabil Eng 2000;8(2):180–5.
   PubMedGoogle Scholar
• Graimann B, Huggins JE, Levine SP, Pfurtscheller G. Visualization of significant ERD/ERS patterns in multichannel EEG and ECoG data. Clin Neurophysiol 2002;113(1):43–7.
   PubMed Web of Science ®Google Scholar
• Graimann B, Huggins JE, Schlögl A, Levine SP, Pfurtscheller G. Detection of movement-related desynchronization patterns in ongoing single-channel electrocorticogram. IEEE Trans Neural Syst Rehab Eng 2003;11(3):276–81.
   PubMed Web of Science ®Google Scholar
• Pfurtscheller G, Graimann B, Huggins JE, Levine SP, Schuh LA. Spatiotemporal patterns of beta desynchronization and gamma synchronization in corticographic data during self-paced movement. Clin Neurophysiol 2003;114(7):1226–36.
   PubMed Web of Science ®Google Scholar
• Scherer R, Graimann B, Huggins JE, Levine SP, Pfurtscheller G. Frequency component selection for an ECoG-based brain-computer interface. Biomed Tech (Berl) 2003;48(1–2):31–6.
   PubMed Web of Science ®Google Scholar
• Graimann B, Huggins JE, Levine SP, Pfurtscheller G. Toward a direct brain interface based on human subdural recordings and wavelet-packet analysis. IEEE Trans Biomed Eng 2004;51(6):954–62.
   PubMed Web of Science ®Google Scholar
• Leuthardt EC, Schalk G, Wolpaw JR, Ojemann JG, Moran DW. A brain-computer interface using electrocorticographic signals in humans. J Neural Eng 2004;1(2):63–71.
   PubMed Web of Science ®Google Scholar
• Chin CM, Popovic MR, Thrasher A, Cameron T, Lozano A, et al. Identification of arm movements using correlation of electrocorticographic spectral components and kinematic recordings. J Neural Eng 2007;4(2):146–58.
   PubMed Web of Science ®Google Scholar
• Schalk G, Kubánek J, Miller KJ, Anderson NR, Leuthardt EC, et al. Decoding two-dimensional movement trajectories using electrocorticographic signals in humans. J Neural Eng 2007;4(3):264–75.
   PubMed Web of Science ®Google Scholar
• Pistohl T, Ball T, Schulze-Bonhage A, Aertsen A, Mehring C. Prediction of arm movement trajectories from ECoG-recordings in humans. J Neurosci Methods 2008;167(1):105–14.
   PubMed Web of Science ®Google Scholar
• Schalk G, Miller KJ, Anderson NR, Wilson JA, Smyth MD, et al. Two-dimensional movement control using electrocorticographic signals in humans. J Neural Eng 2008;5(1):75–84.
   PubMed Web of Science ®Google Scholar
• Shenoy P, Miller KJ, Ojemann JG, Rao RPN. Generalized features for electrocorticographic BCIs. IEEE Trans Biomed Eng 2008;55(1):273–80.
   PubMed Web of Science ®Google Scholar
• Márquez-Chin C, Popovic MR, Cameron T, Lozano AM, Chen R. Control of a neuroprosthesis for grasping using off-line classification of electrocorticographic signals: case study. Spinal Cord 2009;47(11):802–8.
   PubMed Web of Science ®Google Scholar
• Felton EA, Radwin RG, Wilson JA, Williams JC. Evaluation of a modified Fitts law brain-computer interface target acquisition task in able and motor disabled individuals. J Neural Eng 2009;6(5):056002.
   Web of Science ®Google Scholar
• Birbaumer N, Kübler A, Ghanayim N, Hinterberger T, Perelmouter J, et al. The thought translation device (TTD) for completely paralyzed patients. IEEE Trans Rehabil Eng 2000;8(2):190–3.
   PubMedGoogle Scholar
• Hinterberger T, Schmidt S, Neumann N, Mellinger J, Blankertz B, et al. Brain-computer communication and slow cortical potentials. IEEE Trans Biomed Eng 2004;51(6):1011–8.
   PubMed Web of Science ®Google Scholar
• Hinterberger T, Weiskopf N, Veit R, Wilhelm B, Betta E, et al. An EEG-driven brain-computer interface combined with functional magnetic resonance imaging (fMRI). IEEE Trans Biomed Eng 2004;51(6):971–4.
   PubMed Web of Science ®Google Scholar
• Donchin E, Spencer KM, Wijesinghe R. The mental prosthesis: assessing the speed of a P300-based brain-computer interface. IEEE Trans Rehab Eng 2000;8(2):174–9.
   PubMedGoogle Scholar
• Sellers EW, Kübler A, Donchin E. Brain-computer interface research at the University of South Florida Cognitive Psychophysiology Laboratory: the P300 Speller. IEEE Trans Neural Syst Rehabil Eng 2006;14(2):221–4.
   PubMed Web of Science ®Google Scholar
• Pfurtscheller G, Müller-Putz GR, Schlögl A, Graimann B, Scherer R, et al. 15 years of BCI research at Graz University of Technology: current projects. IEEE Trans Neural Syst Rehabil Eng 2006;14(2):205–10.
   PubMed Web of Science ®Google Scholar
• Borisoff JF, Mason SG, Birch GE. Brain interface research for asynchronous control applications. IEEE Trans Neural Syst Rehabil Eng 2006;14(2):160–4.
   PubMed Web of Science ®Google Scholar
• del R Millán J, Mouriño J. Asynchronous BCI and local neural classifiers: an overview of the Adaptive Brain Interface project. IEEE Trans Neural Syst Rehabil Eng 2003;11(2):159–61.
   PubMed Web of Science ®Google Scholar
• Scherer R, Müller GR, Neuper C, Graimann B, Pfurtscheller G. An asynchronously controlled EEG-based virtual keyboard: improvement of the spelling rate. IEEE Trans Biomed Eng 2004;51(6):979–84.
   PubMed Web of Science ®Google Scholar
• Leeb R, Friedman D, Müller-Putz GR, Scherer R, Slater M, et al. Self-paced (Asynchronous) BCI control of a wheelchair in virtual environments: a case study with a tetraplegic. Comput Intell Neurosci 2007;2007:79642.
   Google Scholar
• Müller-Putz GR, Scherer R, Pfurtscheller G, Rupp R. EEG-based neuroprosthesis control: a step towards clinical practice. Neurosci Lett 2005;382(1–2):169–74.
   PubMed Web of Science ®Google Scholar
• Middendorf M, McMillan G, Calhoun G, Jones KS. Brain-computer interfaces based on the steady-state visual-evoked response. IEEE Trans Rehabil Eng 2000;8(2):211–4.
   PubMedGoogle Scholar
• Allison BZ, McFarland DJ, Schalk G, Zheng SD, Jackson MM, et al. Towards an independent brain-computer interface using steady state visual evoked potentials. Clin Neurophysiol 2008;119(2):399–408.
   PubMed Web of Science ®Google Scholar
• Müller-Putz GR, Pfurtscheller G. Control of an electrical prosthesis with an SSVEP-based BCI. IEEE Trans Biomed Eng 2008;55(1):361–4.
   PubMed Web of Science ®Google Scholar
• Cheng M, Gao X, Gao S, Xu D. Design and implementation of a brain-computer interface with high transfer rates. IEEE Trans Biomed Eng 2002;49(10):1181–6.
   PubMed Web of Science ®Google Scholar
• Trejo LJ, Rosipal R, Matthews B. Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials. IEEE Trans Neural Syst Rehabil Eng 2006;14(2):225–9.
   PubMed Web of Science ®Google Scholar
• Martinez P, Bakardjian H, Cichocki A. Fully online multicommand brain-computer interface with visual neurofeedback using SSVEP paradigm. Comput Intell Neurosci 2007;2007:94561.
   Google Scholar
• Farwell LA, Donchin E. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr Clin Neurophysiol 1988;70(6):510–23.
   PubMedGoogle Scholar
• Sellers EW, Krusienski DJ, McFarland DJ, Vaughan TM, Wolpaw JR. A P300 event-related potential brain-computer interface (BCI): the effects of matrix size and inter stimulus interval on performance. Biol Psychol 2006;73(3):242–52.
   PubMed Web of Science ®Google Scholar
• Townsend G, LaPallo BK, Boulay CB, Krusienski DJ, Frye GE, et al. A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columns. Clin Neurophysiol 2010;121(7):1109–20.
   PubMed Web of Science ®Google Scholar
• Klobassa DS, Vaughan TM, Brunner P, Schwartz NE, Wolpaw JR, et al. Toward a high-throughput auditory P300-based brain-computer interface. Clin Neurophysiol 2009;120(7):1252–61.
   PubMed Web of Science ®Google Scholar
• Schreuder M, Blankertz B, Tangermann M. A new auditory multi-class brain-computer interface paradigm: spatial hearing as an informative cue. PLoS One 2010;5(4):e9813.
   PubMed Web of Science ®Google Scholar
• Brouwer AM, van Erp JBF. A tactile P300 brain-computer interface. Front Neurosci 2010;4:19.
   PubMed Web of Science ®Google Scholar
• Mason SG, Birch GE. A brain-controlled switch for asynchronous control applications. IEEE Trans Biomed Eng 2000;47(10):1297–307.
   PubMed Web of Science ®Google Scholar
• Birch GE, Bozorgzadeh Z, Mason SG. Initial on-line evaluations of the LF-ASD brain-computer interface with able-bodied and spinal-cord subjects using imagined voluntary motor potentials. IEEE Trans Neural Syst Rehabil Eng 2002;10(4):219–24.
   PubMed Web of Science ®Google Scholar
• Birch GE, Mason SG, Borisoff JF. Current trends in brain-computer interface research at the Neil Squire Foundation. IEEE Trans Neural Syst Rehabil Eng 2003;11(2):123–6.
   PubMed Web of Science ®Google Scholar
• Mason SG, Bohringer R, Borisoff JF, Birch GE. Real-time control of a video game with a direct brain–computer interface. J Clin Neurophysiol 2004;21(6):404–8.
   PubMed Web of Science ®Google Scholar
• Borisoff JF, Mason SG, Bashashati A, Birch GE. Brain-computer interface design for asynchronous control applications: improvements to the LF-ASD asynchronous brain switch. IEEE Trans Biomed Eng 2004;51(6):985–92.
   PubMed Web of Science ®Google Scholar
• Müller-Putz GR, Scherer R, Pfurtscheller G, Rupp R. Brain-computer interfaces for control of neuroprostheses: from synchronous to asynchronous mode of operation. Biomed Tech (Berl) 2006;51(2):57–63.
   PubMed Web of Science ®Google Scholar
• Galán F, Nuttin M, Lew E, Ferrez PW, Vanacker G, et al. A brain-actuated wheelchair: asynchronous and non-invasive brain-computer interfaces for continuous control of robots. Clin Neurophysiol 2008;119:2159–69.
   PubMed Web of Science ®Google Scholar
• Wolpaw JR, McFarland DJ, Vaughan TM. Brain-computer interface research at the Wadsworth Center. IEEE Trans Rehabil Eng 2000;8(2):222–6.
   PubMedGoogle Scholar
• Schalk G, Wolpaw JR, McFarland DJ, Pfurtscheller G. EEG-based communication: presence of an error potential. Clin Neurophysiol 2000;111(12):2138–44.
   PubMed Web of Science ®Google Scholar
• Sheikh H, McFarland DJ, Sarnacki WA, Wolpaw JR. Electroencephalographic (EEG)-based communication: EEG control versus system performance in humans. Neurosci Lett 2003;345(2):89–92.
   PubMed Web of Science ®Google Scholar
• Silva J, Torres-Solis J, Chau T, Mihailidis A. A novel asynchronous access method with binary interfaces. J Neuroeng Rehabil 2008;5:24.
   PubMed Web of Science ®Google Scholar
• Moro E, Schwalb JM, Piboolnurak P, Poon Y-YW, Hamani C, Hung SW, et al. Unilateral subdural motor cortex stimulation improves essential tremor but not Parkinson's disease. Brain 2011;134(7):2096–105.
   PubMed Web of Science ®Google Scholar
• Geng T, Gan JQ, Dyson M, Tsui CS, Sepulveda F. A novel design of 4-class BCI using two binary classifiers and parallel mental tasks. Comput Intell Neurosci 2008;2008:437306.
   Google Scholar
• Parini S, Maggi L, Turconi AC, Andreoni G. A robust and selfpaced BCI system based on a four class ssvep paradigm: algorithms and protocols for a high-transfer-rate direct brain communication. Comput Intell Neurosci 2009;2009:864564.
   Google Scholar
• Márquez-Chin C, Sanin E, Silva J, Popovic M. Real-time two-dimensional asynchronous control of a remote-controlled car using a single electroencephalographic electrode. Top Spinal Cord Inj Rehabil 2009;14(4):62–8.
   Google Scholar