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

Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration

Volumn 15, Issue 3-4, 2014, Pages 207-215

  McCane, Lynn M ^a,b   Sellers, Eric W ^c   Mcfarland, Dennis J ^a,b   Mak, Joseph N ^d   Carmack, C Steve ^a,b   Zeitlin, Debra ^a,b   Wolpaw, Jonathan R ^a,b   Vaughan, Theresa M ^a,b  

^a WADSWORTH CENTER   (United States)

^b NEW YORK STATE DEPARTMENT OF HEALTH   (United States)

^c EAST TENNESSEE STATE UNIVERSITY   (United States)

^d NeuroSky (Hong Kong) Co Ltd   (Hong Kong)

Author keywords

Amyotrophic lateral sclerosis (ALS); Augmentative and alternative communication (AAC); Brain computer interface (BCI); Event related potentials (ERP); P300; Rehabilitation

Indexed keywords

ACCURACY; ADULT; AGED; AMYOTROPHIC LATERAL SCLEROSIS; ARTICLE; BRAIN COMPUTER INTERFACE; CLINICAL ARTICLE; DIPLOPIA; DISABILITY; ELECTROENCEPHALOGRAPHY; EVOKED VISUAL RESPONSE; FEMALE; FUNCTIONAL ASSESSMENT; HUMAN; INTERPERSONAL COMMUNICATION; MALE; NYSTAGMUS; PRIORITY JOURNAL; PTOSIS; TASK PERFORMANCE; COMMUNICATION DISORDERS; COMPLICATION; EVENT RELATED POTENTIAL; MIDDLE AGED; ONLINE SYSTEM; PHOTOSTIMULATION; PHYSIOLOGY; PSYCHOMOTOR PERFORMANCE; PSYCHOPHYSIOLOGY; REACTION TIME;

ADULT; AGED; AMYOTROPHIC LATERAL SCLEROSIS; BIOFEEDBACK, PSYCHOLOGY; BRAIN-COMPUTER INTERFACES; COMMUNICATION DISORDERS; ELECTROENCEPHALOGRAPHY; EVENT-RELATED POTENTIALS, P300; FEMALE; HUMANS; MALE; MIDDLE AGED; ONLINE SYSTEMS; PHOTIC STIMULATION; PSYCHOMOTOR PERFORMANCE; REACTION TIME;

EID: 84901480934     PISSN: 21678421     EISSN: 21679223     Source Type: Journal    
DOI: 10.3109/21678421.2013.865750     Document Type: Article

References (46)

1. Doyle M, Phillips B. T rends in Augmentative and Alternative Communication Use by Individuals with Amyotrophic Lateral Sclerosis. Augmentative and Alternative Communication. 2001;17:167-78. (Pubitemid 32887938
2. Wolpaw JR, Wolpaw EW. B rain-Computer Interfaces: Something New Under the Sun. New York, NY: Oxford University Press;2012
3. Heinman-Patterson T, Aboussouan L S. R espiratory 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
4. 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. (Pubitemid 43878829
5. 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
6. Lule D, Pauli S, Altintas E, Singer U, Merk T, Uttner I, e t al. Emotional adjustment in amyotrophic lateral sclerosis (ALS). Journal of Neurology. 2012;259:334-41
7. Simmons Z. R ehabilitation of motor neuron disease. Handbook of Clinical Neurology. 2013;110:483-98
8. 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
9. Sellers EW, Vaughan TM, Wolpaw Jr. A brain-computer interface for long-Term independent home use. Amyotrophic lateral sclerosis. 2010;11:449-55
10. 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. (Pubitemid 44150249
11. Farwell LA, Donchin E. T alking off the top of your head: Toward a mental prosthesis utilizing event-related brain potentials. Electroencephalography and Clinical Neurophysiology. 1988;70:510-23
12. Pfurtscheller G, McFarland DJ. B CIs That Use Sensorimotor Rhythms. In: Wolpaw JR, Wolpaw EW, editors. Braincomputer interfaces: Principles and practice. New York, NY: Oxford University Press;2012. pp 227-40
13. 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. (Pubitemid 129522960
14. 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
15. Sitaram R, Lee S, Birbaumer N. B CIs 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
16. Schalk G. B CIs 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
17. Donoghue J P. B CIs that use Brain Signals Recorded in the Motor Cortex. In: Wolpaw JR, Wolpaw EW, editors. Braincomputer interfaces: Principles and practice. New York, NY: Oxford University Press;2012. pp 265-88
18. 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
19. Sellers EW, Arbel Y, Donchin E. B CIs 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
20. 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: Offi cial journal of the International Federation of Clinical Neurophysiology. 2008;119:1909-16
21. Sellers EW, Donchin E. A P300-based brain-computer interface: Initial tests by ALS patients. Clinical Neurophysiology. 2006;117:538-48. (Pubitemid 43343986
22. Townsend G, LaPallo BK, Boulay CB, Krusienski DJ, Frye GE, Hauser CK, et al. A novel P300-based braincomputer interface stimulus presentation paradigm: Moving beyond rows and columns. Clinical Neurophysiology. 2010;121:1109-20
23. 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. (Pubitemid 43343985
24. Hoffmann U, Vesin JM, Ebrahimi T, Diserens K. A n effi-cient P300-based brain-computer interface for disabled subjects. Journal of Neuroscience Methods. 2008;167:115-25. (Pubitemid 350180084
25. 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. (Pubitemid 29502501
26. 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
27. 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
28. Kappenman ES, Luck SJ. The effects of electrode impedance on data quality and statistical signifi cance in ERP recordings. Psychophysiology. 2010;47:888-904
29. 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
30. Krusienski DJ, Sellers EW, McFarland DJ, Vaughan TM, Wolpaw Jr. Toward enhanced P300 speller performance. Journal of Neuroscience Methods. 2008;167:15-21. (Pubitemid 350180088
31. Razali N, Wah Y. P ower Comparisons of Shapiro-Wilk, Kolmogorov-Smirnov, Lilliefors and Anderson-Darling tests. Journal of Statistical Modeling and Analytics. 2011;2:21-33
32. Siegel S. N on-parametric Statistics. The American Statistician. 1957;11:13-9
33. 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
34. 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
35. Tollefsen E, Midgren B, Bakke P, Fondenes O. A myotrophic lateral sclerosis: Gender differences in the use of mechanical ventilation. European Journal of Neurology. 2010;17:1352-7
36. 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
37. Hayashi H, Oppenheimer E A. A LS patients on TPPV: Totally locked-in state, neurologic fi ndings and ethical implications. Neurology. 2003;61:135-7. (Pubitemid 36818767
38. Kaufmann T, Holz EM, Kubler A. C omparison 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
39. 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
40. Raaphorst J, d e Visser M, Linssen WH, d e Haan RJ, Schmand B. The cognitive profi le of amyotrophic lateral sclerosis: A meta-Analysis. Amyotroph Lateral Scler. 2010;11:27-37
41. 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
42. 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. (Pubitemid 43961723
43. Lim JH, Hwang HJ, Han CH, Im C H. Classifi cation of binary intentions for individuals with impaired oculomotor funtion: ' eyes-closed ' SSVEP based brain-computer interface (BCI). Journal of Neural Engineering. 2013;10:049501
44. 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
45. Augmentative Communication [Website]. ALS Association Website: ALS Association;2013 [cited 2013 September]. Available from: Http://www.alsa.org
46. 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.