Brain-computer interface in paralysis

Current Opinion in Neurology

Volumn 21, Issue 6, 2008, Pages 634-638

  Birbaumer, Niels ^a,b   Murguialday, Ander Ramos ^a,c   Cohen, Leonardo ^d  

^a UNIVERSITY OF TÜBINGEN   (Germany)

^b IRCCS Ospedale San Camillo   (Italy)

^c TECNALIA RESEARCH AND INNOVATION   (Spain)

^d NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE   (United States)

Author keywords

Amyotrophic lateral sclerosis; Movement restoration; Stroke

Indexed keywords

AMYOTROPHIC LATERAL SCLEROSIS; ARM MOVEMENT; BRAIN BLOOD FLOW; BRAIN COMPUTER INTERFACE; BRAIN METABOLISM; BRAIN REGION; CLINICAL FEATURE; ELECTROCORTICOGRAPHY; ELECTROENCEPHALOGRAPHY; EVENT RELATED POTENTIAL; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; INFRARED SPECTROSCOPY; INTERPERSONAL COMMUNICATION; LEARNING; LOCKED IN SYNDROME; METABOLIC PARAMETERS; MICROELECTRODE; NERVE CELL; NONHUMAN; PARALYSIS; PRIMATE; RECORDING; REVIEW; ROBOTICS; SPINAL CORD INJURY; STROKE; TRAINING;

BRAIN; COMMUNICATION AIDS FOR DISABLED; HUMANS; PARALYSIS; USER-COMPUTER INTERFACE;

EID: 56749127998     PISSN: 13507540     EISSN: None     Source Type: Journal    
DOI: 10.1097/WCO.0b013e328315ee2d     Document Type: Review

References (41)

1. Velliste M, Perel S, Spalding MC, et al. Cortical control of a prosthetic arm for self-feeding. Nature 2008; 453:1098-1101. Monkeys were trained to feed themselves with an artificial arm using spike patterns from motor cortex.
2. Riehle A, Vaadia E, editors. Motor cortex in voluntary movements. A distributed system for distributed functions. Boca Raton: CRC Press; 2005.
3. Lebedev MA, Nicolelis MA. Brain machine interfaces: past, present and future. Trends Neurosci 2006; 29:536-546.
4. Felton EA, Wilson JA, Williams JC, Garell PC. Electrocorticographically controlled brain-computer interfaces using motor and sensory imagery in patients with temporary subdural electrode implants. J Neurosurg 2007; 106:495-500.
5. Birbaumer N, Cohen L. Brain-computer-interfaces (BCI): communication and restoration of movement in paralysis. J Physiol 2007; 579.3:621-636.
6. Nijboer F, Sellers E, Mellinger J, et al. A brain-computer interface in patients with amyotrophic lateral sclerosis. Clin Neurophysiol (in press).
7. Caria A, Veit R, Sitaram R, et al. Regulation of anterior insular cortex activity using real-time fMRI. Neurolmage 2007; 35:1238-1246.
8. Sitaram R, Zhang H, Guan C, et al. Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface. Neurolmage 2007; 34:1416-1427.
9. Nijboer F, Furdea A, Gunst I, et al. An auditory brain-computer-interface (BCI). J Neurosci Methods 2008; 167:43-50.
10. Dornhege C, Millán JR, et al. editors. Toward brain-computer interfacing. Cambridge, MA: MIT Press; 2007. Collection of methodological and clinical articles allows a quick overview of the BCI literature.
11. Lal TN, Schröder M, Hinterberger T, et al. Support vector channel selection in BCI. IEEE Trans Biomed Eng 2004; 51:1003-1010.
12. Nicolelis MAL, Birbaumer N, Mueller K-L. Brain-computer interfaces. Guest editorial. IEEE Trans Biomed Eng 2004; 51:877-880.
13. Hinterberger T, Kübler A, Kaiser J, et al. A brain-computer-interface (BCI) for the locked-in: comparison of different EEG classifications for the thought translation device. Clin Neurophysiol 2003; 114:416-425.
14. Birbaumer N, Ghanayim N, Hinterberger T, et al. A spelling device for the paralysed. Nature 1999; 398:297-298.
15. Birbaumer N. Breaking the silence: brain-computer-interfaces (BCI) for communication and motor control. Psychophysiology 2006; 43:517-532.
16. Walker JE, Kozlowski G. Neurofeedback training of epilepsy. Child Adolesc Psychiatry Clin N Am 2005; 14:163-176.
17. Strehl U, Leins U, Goth G, et al. Self-regulation of slow cortical potentials - a new treatment for children with attention-deficit/hyperactivity disorder. Pediatrics 2006; 118:1530-1540.
18. Weiskopf N, Scharnowski F, Veit R, et al. Self-regulation of local brain activity using real-time functional magnetic resonance imaging (fMRI). J Physiol Paris 2005; 98:357-373.
19. Elbert T, Rockstroh B, Lutzenberger W, Birbaumer N, editors. Self-regulation of the brain and behavior. New York: Spinger; 1984.
20. Georgopoulos AP, Kalaska JF, Caminiti R, Massey JT. On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex. J Neurophysiol 2007; 2:1527-1537.
21. Miller NE. Learning of visceral and glandular responses. Science 1969; 163:434-445.
22. Dworkin BR, Miller NE. Failure to replicate visceral learning in the acute curarized rat preparation. Behav Neurosci 1986; 100:299-314.
23. Rockstroh B, Elbert T, Birbaumer N, et al. Cortical self-regulation in patients with epilepsies. Epilepsy Res 1993; 14:63-72.
24. Kotchoubey B, Strehl U, Uhlmann C, et al. Modification of slow cortical potentials in patients with refractory epilepsy: a controlled outcome study. Epilepsia 2001; 42:406-416.
25. Nagai Y, Goldstein LH, Fenwick PBC, Trimble MR. Clinical efficacy of galvanic skin response biofeedback training in reducing seizures in adult epilepsy: a preliminary randomized controlled study. Epilepsy Behav 2004; 5:216-223.
26. Birbaumer M, Elbert T, Canavan A, Rockstroh B. Slow potentials of the cerebral cortex and behavior. Physiol Rev 1990; 70:1-41.
27. Sterman MB, Clemente CD. Forebrain inhibitory mechanisms: cortical synchronization induced by basal forebrain stimulation. Exp Neurol 1962; 6:91-102.
28. Fuchs T, Birbaumer N, Lutzenberger W, et al. Neurofeedback training for attention-deficit/hyperactivity disorder in children: a comparison with methylphenidate. Appl Psychophysiol Biofeedback 2003; 28:1-12.
29. Hinterberger T, Veit R, Wilhelm B, et al. Neuronal mechanisms underlying control of a brain-computer interface. Eur J Neurosci 2005; 21:3169-3181.
30. Kotchoubey B. Event-related potential measures of consciousness: two equations with three unknowns. Prog. Brain Res 2005; 150:427-444.
31. Owen AM, Coleman MR, Boly M, et al. Detecting awareness in the vegetative state. Science 2008; 313:1402.
32. Kübler A, Birbaumer N. Brain-computer interfaces and communication in paralysis: extinction of goal directed thinking in completely paralysed patients? Clin Neurophysiol (in press).
33. Sellers EW, Donchin E. A P300-based brain-computer interface: initial tests by ALS patients. Clin Neurophysiol 2006; 117:538-548.
34. Pfurtscheller G, Neuper C, Birbaumer N. Human brain-computer interface (BCI). In: Riehle A, Vaadia E, editors. Motor cortex in voluntary movements. A distributed system for distributed functions. Boca Raton: CRC Press; 2005. pp. 367-401.
35. Naito M, Michioka Y, Ozawa K, et al. A communication means for totally locked-in ALS patients based on changes in cerebral blood volume measured with near-infrared light. IEICE Trans Inf & Syst 2007; E90-D:1028-1037.
36. Pfurtscheller G, Guger C, Müller G, et al. Brain oscillations control hand orthosis in a tetraplegic. Neurosci Lett 2000; 292:211-214.
37. Hochberg LR, Serruya MD, Friehs GM, et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 2006; 442:164-171.
38. Buch E, Weber C, Cohen LG, et al. Think to move: a neuromagnetic brain-computer interface (BCI) system for chronic stroke. Stroke 2008; 39:910-917. A BCI device allowing voluntary hand opening and closing in chronic stroke with no residual hand movements.
39. Schwartz AB. Neurobiology: crossed circuits. Nature 2006; 444:47-48.
40. Waldert S, Preissl H, Demandt E, et al. Hand movement direction decoded from MEG and EEG. J Neurosci 2008; 28:1000-1008. First paper demonstrating four-dimensional movement reconstruction from EEG and MEG measures.
41. DeCharmc RC, Maeda F, Glover GH, et al. Control over brain activation and pain learned by using real-time functional MRI. ProcNatl Acad Sci U S A 2005; 102:18626-18631.