Brain-computer interface (BCI) evaluation in people with amyotrophic lateral sclerosis

References

• Doyle M, Phillips B. Trends in Augmentative and Alternative Communication Use by Individuals with Amyotrophic Lateral Sclerosis. Augmentative and Alternative Communication. 2001;17:167–78.
   Google Scholar
• Wolpaw JR, Wolpaw EW. Brain-Computer Interfaces: Something New Under the Sun. New York, NY: Oxford University Press; 2012.
   Google Scholar
• Heinman-Patterson T, Aboussouan LS. Respiratory Care in Amyotrophic Lateral Sclerosis. In: Mitsumoto H, Przedborski S, Gordon PH, editors. Amyotrophic Lateral Sclerosis. New York, NY: Taylor & Francis Group; 2006. pp. 737–55.
   Google Scholar
• Rabkin JG, Albert SM, Tider T, Del Bene ML, O’Sullivan I, Rowland LP, et al. Predictors and course of elective long-term mechanical ventilation: a prospective study of ALS patients. Amyotroph Lateral Scler. 2006;7: 86–95.
   PubMed Web of Science ®Google Scholar
• Miller RG, Anderson F, Brooks BR, Mitsumoto H, Bradley WG, Ringel SP, et al. Outcomes research in amyotrophic lateral sclerosis: lessons learned from the amyotrophic lateral sclerosis clinical assessment, research, and education database. Annals of Neurology. 2009;65 (Suppl 1): S24–8.
   PubMed Web of Science ®Google Scholar
• Lule D, Pauli S, Altintas E, Singer U, Merk T, Uttner I, et al. Emotional adjustment in amyotrophic lateral sclerosis (ALS). Journal of Neurology. 2012;259:334–41.
   PubMed Web of Science ®Google Scholar
• Simmons Z. Rehabilitation of motor neuron disease. Handbook of Clinical Neurology. 2013;110:483–98.
   PubMedGoogle Scholar
• Korner S, Sieniawski M, Kollewe K, Rath KJ, Krampfl K, Zapf A, et al. Speech therapy and communication device: impact on quality of life and mood in patients with amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener. 2013;14:20–5.
   PubMed Web of Science ®Google Scholar
• Sellers EW, Vaughan TM, Wolpaw JR. A brain-computer interface for long-term independent home use. Amyotrophic lateral sclerosis. 2010;11:449–55.
   PubMed Web of Science ®Google Scholar
• Vaughan TM, McFarland DJ, Schalk G, Sarnacki WA, Krusienski DJ, Sellers EW, et al. The Wadsworth BCI Research and Development Program: at home with BCI. IEEE transactions on neural systems and rehabilitation engineering. 2006;14:229–33.
   PubMed Web of Science ®Google Scholar
• Farwell LA, Donchin E. Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalography and Clinical Neurophysiology. 1988;70:510–23.
   PubMedGoogle Scholar
• Pfurtscheller G, McFarland DJ. BCIs That Use Sensorimotor Rhythms. In: Wolpaw JR, Wolpaw EW, editors. Brain-computer interfaces: principles and practice. New York, NY: Oxford University Press; 2012. pp 227–40.
   Google Scholar
• Birbaumer N, Ghanayim N, Hinterberger T, Iversen I, Kotchoubey B, Kubler A, et al. A spelling device for the paralysed. Nature. 1999;398:297–8.
   PubMed Web of Science ®Google Scholar
• Sudre G, Parkkonen L, Bock E, Baillet S, Wang W, Weber DJ. rtMEG: a real-time software interface for magnetoencephalography. Computational Intelligence and Neuroscience. 2011;2011:327953.
   PubMed Web of Science ®Google Scholar
• Sitaram R, Lee S, Birbaumer N. BCIs that use Brain Metabolic Signals. In: Wolpaw JR, Wolpaw EW, editors. Brain-computer interfaces: principles and practice. New York, NY: Oxford University Press; 2012. pp 301–23.
   Google Scholar
• Schalk G. BCIs that use Electrocortiographic Activity. In: Wolpaw JR, Wolpaw EW, editors. Brain-computer interfaces: principles and practice. New York, NY: Oxford University Press; 2012. pp 251–64.
   Google Scholar
• Donoghue JP. BCIs that use Brain Signals Recorded in the Motor Cortex. In: Wolpaw JR, Wolpaw EW, editors. Brain-computer interfaces: principles and practice. New York, NY: Oxford University Press; 2012. pp 265–88.
   Google Scholar
• Mak JN, Arbel Y, Minett JW, McCane LM, Yuksel B, Ryan D, et al. Optimizing the P300-based brain-computer interface: current status, limitations and future directions. Journal of Neural Engineering. 2011;8:025003.
   Web of Science ®Google Scholar
• Sellers EW, Arbel Y, Donchin E. BCIs that use P300 Event-Realted Potentials. In: Wolpaw JR, Wolpaw EW, editors. Brain-computer interfaces: principles and practice. New York, NY: Oxford University Press; 2012. pp 215–26.
   Google Scholar
• Nijboer F, Sellers EW, Mellinger J, Jordan MA, Matuz T, Furdea A, et al. A P300-based brain-computer interface for people with amyotrophic lateral sclerosis. Clinical neurophysiology: official journal of the International Federation of Clinical Neurophysiology. 2008;119:1909–16.
   PubMed Web of Science ®Google Scholar
• Sellers EW, Donchin E. A P300-based brain-computer interface: initial tests by ALS patients. Clinical Neurophysiology. 2006;117:538–48.
   PubMed Web of Science ®Google Scholar
• Townsend G, LaPallo BK, Boulay CB, Krusienski DJ, Frye GE, Hauser CK, et al. A novel P300-based brain- computer interface stimulus presentation paradigm: moving beyond rows and columns. Clinical Neurophysiology. 2010; 121:1109–20.
   PubMed Web of Science ®Google Scholar
• Piccione F, Giorgi F, Tonin P, Priftis K, Giove S, Silvoni S, et al. P300-based brain computer interface: reliability and performance in healthy and paralysed participants. Clinical Neurophysiology. 2006;117:531–7.
   PubMed Web of Science ®Google Scholar
• Hoffmann U, Vesin JM, Ebrahimi T, Diserens K. An efficient P300-based brain-computer interface for disabled subjects. Journal of Neuroscience Methods. 2008;167: 115–25.
   PubMed Web of Science ®Google Scholar
• Cedarbaum JM, Stambler N, Malta E, Fuller C, Hilt D, Thurmond B, et al. The ALSFRS-R: a revised ALS functional rating scale that incorporates assessments of respiratory function. BDNF ALS Study Group (Phase III). Journal of the Neurological Sciences. 1999;169:13–21.
   PubMed Web of Science ®Google Scholar
• Schalk G, McFarland DJ, Hinterberger T, Birbaumer N, Wolpaw JR. BCI2000: a general purpose brain-computer interface (BCI) system. IEEE Transactions on Bio-medical Engineering. 2004;51:1034–43.
   PubMed Web of Science ®Google Scholar
• Sharbrough F, Chatrian GE, Lesser RP, Luders H, Nuwer M, Picton TW. AEEGS Guidelines for Standard Electrode Position Nomenclature. Journal of Clinical Neurophysiology. 1991;8:200–2.
   PubMed Web of Science ®Google Scholar
• Kappenman ES, Luck SJ. The effects of electrode impedance on data quality and statistical significance in ERP recordings. Psychophysiology. 2010;47:888–904.
   PubMed Web of Science ®Google Scholar
• Portier F, Portmann A, Czernichow P, Vascaut L, Devin E, Benhamou D, et al. Evaluation of home versus laboratory polysomnography in the diagnosis of sleep apnea syndrome. American Journal of Respiratory and Critical Care Medicine. 2000;162:814–8.
   PubMed Web of Science ®Google Scholar
• Krusienski DJ, Sellers EW, McFarland DJ, Vaughan TM, Wolpaw JR. Toward enhanced P300 speller performance. Journal of Neuroscience Methods. 2008;167:15–21.
   PubMed Web of Science ®Google Scholar
• Razali N, Wah Y. Power Comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. Journal of Statistical Modeling and Analytics. 2011; 2:21–33.
   Google Scholar
• Siegel S. Non-parametric Statistics. The American Statistician. 1957;11:13–9.
   Web of Science ®Google 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. Biological Psychology. 2006;73: 242–52.
   PubMed Web of Science ®Google Scholar
• Silvoni S, Cavinato M, Volpato C, Ruf CA, Birbaumer N, Piccione F. Amyotrophic lateral sclerosis progression and stability of brain-computer interface communication. Amyotroph Lateral Scler Frontotemporal Degener. 2013; 14:390–6.
   PubMed Web of Science ®Google Scholar
• Tollefsen E, Midgren B, Bakke P, Fondenes O. Amyotrophic lateral sclerosis: gender differences in the use of mechanical ventilation. European Journal of Neurology. 2010;17: 1352–7.
   PubMed Web of Science ®Google Scholar
• Brockington A, Ning K, Heath PR, Wood E, Kirby J, Fusi N, et al. Unravelling the enigma of selective vulnerability in neurodegeneration: motor neurons resistant to degeneration in ALS show distinct gene expression characteristics and decreased susceptibility to excitotoxicity. Acta Neuropathologica. 2013;125:95–109.
   PubMed Web of Science ®Google Scholar
• Hayashi H, Oppenheimer EA. ALS patients on TPPV: totally locked-in state, neurologic findings and ethical implications. Neurology. 2003;61:135–7.
   PubMed Web of Science ®Google Scholar
• Kaufmann T, Holz EM, Kubler A. Comparison of tactile, auditory, and visual modality for brain-computer interface use: a case study with a patient in the locked-in state. Frontiers in Neuroscience. 2013;7:129.
   PubMed Web of Science ®Google Scholar
• Hill NJ, Ricci E, Haider L, McCane LM, Heckman SM, Wolpaw JR, et al. A practical, intuitive brain-computer interface for communicating a “yes” or “no” by listening. Journal of Neural Engineering.2013. In press.
   Web of Science ®Google Scholar
• Raaphorst J, de Visser M, Linssen WH, de Haan RJ, Schmand B. The cognitive profile of amyotrophic lateral sclerosis: a meta-analysis. Amyotroph Lateral Scler. 2010;11: 27–37.
   PubMed Web of Science ®Google Scholar
• Silvoni S, Volpato C, Cavinato M, Marchetti M, Priftis K, Merico A, et al. P300-based Brain-Computer Interface Communication: Evaluation and Follow-up in Amyotrophic Lateral Sclerosis. Frontiers in Neuroscience. 2009;3:60.
   PubMed Web of Science ®Google Scholar
• Walsh G, Rafferty PR, Lapin J. A simple new method for the construction of a ptosis crutch. Ophthalmic & Physiological Optics : the Journal of the British College of Ophthalmic Opticians. 2006;26:404–7.
   PubMed Web of Science ®Google Scholar
• Lim JH, Hwang HJ, Han CH, Im CH. Classification of binary intentions for individuals with impaired oculomotor funtion: ‘eyes-closed’ SSVEP based brain-computer interface (BCI). Journal of Neural Engineering. 2013;10: 049501.
   Web of Science ®Google Scholar
• Kubler A, Furdea A, Halder S, Hammer EM, Nijboer F, Kotchoubey B. A brain-computer interface controlled auditory event-related potential (p300) spelling system for locked-in patients. Annals of the New York Academy of Sciences. 2009;1157:90–100.
   PubMed Web of Science ®Google Scholar
• Augmentative Communication [Website]. ALS Association Website: ALS Association; 2013 [cited 2013 September]. Available from: http://www.alsa.org.
   Google Scholar
• Munssinger JI, Halder S, Kleih SC, Furdea A, Raco V, Hosle A, et al. Brain Painting: First Evaluation of a New Brain-Computer Interface Application with ALS Patients and Healthy Volunteers. Frontiers in Neuroscience. 2010; 4:182.
   PubMed Web of Science ®Google Scholar