Abstract
Brain-machine interfaces (BMIs) establish unidirectional and bidirectional communication channels between the brain and assistive devices, such as wheelchairs, limb prostheses and computers. BMI technologies can also link areas within the brain and even individual brains. BMI approach holds promise to provide effective treatment for a range of neurological conditions. Moreover, BMIs can be utilized to augment brain function in healthy individuals. Here we consider three broadly defined BMI types: motor, sensory and cognitive. For these BMI types, both noninvasive and invasive methods have been employed for neural recordings and stimulation. While original BMIs were implemented at the level of brain macrocircuits, a recent trend was to develop BMIs that utilize neuronal microcircuits.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Andersen RA, Hwang EJ, Mulliken GH (2010) Cognitive neural prosthetics. Annu Rev Psychol 61:169–190, C1-3
Bach-y-Rita P, Kercel W (2003) Sensory substitution and the human-machine interface. Trends Cogn Sci 7:541–546
Barton JJ (2011) Disorder of higher visual function. Curr Opin Neurol 24:1–5
Berger TW, Ahuja A, Courellis SH, Deadwyler SA, Erinjippurath G, Gerhardt GA, Gholmieh G, Granacki JJ, Hampson R, Hsaio MC, LaCoss J, Marmarelis VZ, Nasiatka P, Srinivasan V, Song D, Tanguay AR, Wills J (2005) Restoring lost cognitive function. IEEE Eng Med Biol Mag 24:30–44
Berger TW, Hampson RE, Song D, Goonawardena A, Marmarelis VZ, Deadwyler SA (2011) A cortical neural prosthesis for restoring and enhancing memory. J Neural Eng 8(4):046017
Birbaumer N, Ghanayim N, Hinterberger T, Iversen I, Kotchoubey B, Kübler A, Perelmouter J, Taub E, Flor H (1999) A spelling device for the paralysed. Nature 398:297–298
Birbaumer N, Murguialday AR, Cohen L (2008) Brain-computer interface in paralysis. Curr Opin Neurol 21:634–638
Brindley GS, Lewin WS (1968) The sensations produced by electrical stimulation of the visual cortex. J Physiol 196:479–493
Buxhoeveden DP, Casanova MF (2002) The minicolumn hypothesis in neuroscience. Brain 125(5):935–951
Carmena JM, Lebedev MA, Crist RE, O’Doherty JE, Santucci DM, Dimitrov DF, Patil PG, Henriquez CS, Nicolelis MA (2003) Learning to control a brain-machine interface for reaching and grasping by primates. PLoS Biol 1(2), E42
Casanova MF (2013) Canonical circuits of the cerebral cortex as enablers of neuroprosthetics. Research Topic: “Augmentation of brain function: facts, fiction and controversy”, Lebedev MA, Opris I and Casanova MF (eds). Front Syst Neurosci 7.77. doi:10.3389/fnsys.2013.00080
Chapin JK, Moxon KA, Markowitz RS, Nicolelis MA (1999) Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex. Nat Neurosci 2:664–670
Chase SM, Kass RE, Schwartz AB (2012) Behavioral and neural correlates of visuomotor adaptation observed through a brain-computer interface in primary motor cortex. J Neurophysiol 108:624–644
Cheron G, Duvinage M, De Saedeleer C, Castermans T, Bengoetxea A, Petieau M, Seetharaman K, Hoellinger T, Dan B, Dutoit T, Sylos LF, Lacquaniti F, Ivanenko Y (2012) From spinal central pattern generators to cortical network: integrated BCI for walking rehabilitation. Neural Plast 2012:375148
Collinger JL, Wodlinger B, Downey JE, Wang W, Tyler-Kabara EC, Weber DJ, McMorland AJ, Velliste M, Boninger ML, Schwartz AB (2013) High-performance neuroprosthetic control by an individual with tetraplegia. Lancet 381:557–564
Constantinople CM, Bruno RM (2013b) Deep cortical layers are activated directly from thalamus. Science 340(6140):1591–1594
Cordo PJ, Gurfinkel VS (2004) Motor coordination can be fully understood only by studying complex movements. Prog Brain Res 143:29–38
Courtine G, Gerasimenko Y, van den Brand R, Yew A, Musienko P, Zhong H, Song B, Ao Y, Ichiyama RM, Lavrov I, Roy RR, Sofroniew MV, Edgerton VR (2009) Transformation of nonfunctional spinal circuits into functional states after the loss of brain input. Nat Neurosci 12:1333–1342
Dennett DC (1992) Consciousness explained. Back Bay Books, New York, 528 pp. [This book contains a description of the pioneering demonstration of a brain-machine interface by Grey Walter]
Dobelle WH, Mladejovsky MG, Girvin JP (1974) Artificial vision for the blind: electrical stimulation of visual cortex offers hope for a functional prosthesis. Science 183:440–444
Ethier C, Oby ER, Bauman MJ, Miller LE (2012) Restoration of grasp following paralysis through brain-controlled stimulation of muscles. Nature 485:368–371
Evarts EV (1973) Motor cortex reflexes associated with learned movement. Science 179:501–503
Farah MJ (2002) Emerging ethical issues in neuroscience. Nat Neurosci 5:1123–1129
Farwell LA, Donchin E (1988) Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. Electroencephalogr Clin Neurophysiol 70:510–523
Fatourechi M, Bashashati A, Ward RK, Birch GE (2007) EMG and EOG artifacts in brain computer interface systems: a survey. Clin Neurophysiol 118:480–494
Feldman AG, Ostry DJ, Levin MF, Gribble PL, Mitnitski AB (1998) Recent tests of the equilibrium-point hypothesis (lambda model). Mot Control 2:189–205
Fernandes RA, Diniz B, Ribeiro R, Humayun M (2012) Artificial vision through neuronal stimulation. Neurosci Lett 519:122–128
Fetz EE (1969) Operant conditioning of cortical unit activity. Science 163:955–958
Fitzsimmons NA, Drake W, Hanson TL, Lebedev MA, Nicolelis MA (2007) Primate reaching cued by multichannel spatiotemporal cortical microstimulation. J Neurosci 27:5593–5602
Fitzsimmons NA, Lebedev MA, Peikon ID, Nicolelis MA (2009) Extracting kinematic parameters for monkey bipedal walking from cortical neuronal ensemble activity. Front Integr Neurosci 3:3
Frank K (1968) Some approaches to the technical problem of chronic excitation of peripheral nerve. Ann Otol Rhinol Laryngol 77:761–771
Fuster JM, Bressler SL (2012) Cognit activation: a mechanism enabling temporal integration in working memory. Trends Cogn Sci 16(4):207–218
Galán F, Nuttin M, Lew E, Ferrez PW, Vanacker G, Philips J, Millán JR (2008) A brain-actuated wheelchair: asynchronous and non-invasive brain-computer interfaces for continuous control of robots. Clin Neurophysiol 119:2159–2169
Georgopoulos AP, Kalaska JF, Caminiti R, Massey JT (1982) On the relations between the direction of two-dimensional arm movements and cell discharge in primate motor cortex. J Neurosci 2:1527–1537
Georgopoulos AP, Lurito JT, Petrides M, Schwartz AB, Massey JT (1989) Mental rotation of the neuronal population vector. Science 243:234–236
Guertin PA (2009) The mammalian central pattern generator for locomotion. Brain Res Rev 62:45–56
Hampson RE, Gerhardt GA, Marmarelis V, Song D, Opris I, Santos L, Berger TW, Deadwyler SA (2012) Facilitation and restoration of cognitive function in primate prefrontal cortex by a neuroprosthesis that utilizes minicolumn-specific neural firing. J Neural Eng 9(5):056012
Hampson RE, Song D, Opris I, Santos LM, Shin DC, Gerhardt GA, Marmarelis VZ, Berger TW, Deadwyler SA (2013) Facilitation of memory encoding in primate hippocampus by a neuroprosthesis that promotes task-specific neural firing. J Neural Eng 10(6):066013. doi:10.1088/1741-2560/10/6/066013
Hatsopoulos NG, Donoghue JP (2009) The science of neural interface systems. Annu Rev Neurosci 32:249–266
Haykin S (2001) Adaptive filter theory, 4th edn. Prentice Hall, Upper Saddle River, 936 pp
Head H, Holmes G (1911) Sensory disturbances from cerebral lesions. Brain 34:102–254
Hochberg LR, Serruya MD, Friehs GM, Mukand JA, Saleh M, Caplan AH, Branner A, Chen D, Penn RD, Donoghue JP (2006) Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature 442:164–171
Hochberg LR, Bacher D, Jarosiewicz B, Masse NY, Simeral JD, Vogel J, Haddadin S, Liu J, Cash SS, van der Smagt P, Donoghue JP (2012) Reach and grasp by people with tetraplegia using a neurally controlled robotic arm. Nature 485:372–375
Hubel DH, Wiesel TN (2005) Brain and visual perception: the story of a 25-year collaboration. Oxford University Press, Oxford, 744 pp
Humphrey DR, Schmidt EM, Thompson WD (1970) Predicting measures of motor performance from multiple cortical spike trains. Science 170:758–762
Ifft PJ, Shokur S, Li Z, Lebedev MA, Nicolelis MA (2013) A brain-machine interface enables bimanual arm movements in monkeys. Sci Transl Med 5:210ra154
Iriki A, Tanaka M, Iwamura Y (1996) Coding of modified body schema during tool use by macaque postcentral neurones. Neuroreport 7:2325–2330
Jones LA (2011) Tactile communication systems optimizing the display of information. Prog Brain Res 192:113–128
Kalaska JF, Scott SH, Cisek P, Sergio LE (1997) Cortical control of reaching movements. Curr Opin Neurobiol 7:849–859
Kawato M (1999) Internal models for motor control and trajectory planning. Curr Opin Neurobiol 9:718–727
Kennedy PR, Bakay RA (1998) Restoration of neural output from a paralyzed patient by a direct brain connection. Neuroreport 9:1707–1711
Kim SP, Sanchez JC, Rao YN, Erdogmus D, Carmena JM, Lebedev MA, Nicolelis MA, Principe JC (2006) A comparison of optimal MIMO linear and nonlinear models for brain-machine interfaces. J Neural Eng 3(2):145–161
Lebedev MA, Nicolelis MA (2006) Brain-machine interfaces: past, present and future. Trends Neurosci 29:536–546
Lebedev MA, Carmena JM, O’Doherty JE, Zacksenhouse M, Henriquez CS, Principe JC, Nicolelis MA (2005) Cortical ensemble adaptation to represent velocity of an artificial actuator controlled by a brain-machine interface. J Neurosci 25:4681–4693
Li Z, O’Doherty JE, Hanson TL, Lebedev MA, Henriquez CS, Nicolelis MA (2009) Unscented Kalman filter for brain-machine interfaces. PLoS ONE 4:e6243
Lilly JC (1956) Distribution of ‘motor’ functions in the cerebral cortex in the conscious, intact monkey. Science 124:937
Lin CT, Chang CJ, Lin BS, Hung SH, Chao CF, Wang IJ (2010) A real-time wireless brain–computer interface system for drowsiness detection. IEEE Trans Biomed Circuits Syst 4(4):214–222
McFarland DJ, Krusienski DJ, Wolpaw JR (2006) Brain-computer interface signal processing at the Wadsworth Center: mu and sensorimotor beta rhythms. Prog Brain Res 159:411–419
Mellinger J, Schalk G, Braun C, Preissl H, Rosenstiel W, Birbaumer N, Kübler A (2007) An MEG-based brain–computer interface (BCI). Neuroimage 36:581–593
Millan JR, Renkens F, Mouriño J, Gerstner W (2004) Noninvasive brain-actuated control of a mobile robot by human EEG. IEEE Trans Biomed Eng 51:1026–1033
Moritz CT, Perlmutter SI, Fetz EE (2008) Direct control of paralysed muscles by cortical neurons. Nature 456:639–642
Mountcastle VB (1997) The columnar organization of the neocortex. A comprehensive review of the literature indicating the modular architecture of the cortex. Brain 120(4):701–722
Mountcastle VB (2005) The sensory hand: neural mechanisms of somatic sensation. Harvard University Press, Cambridge, MA, 640 pp
Muller-Putz GR, Pfurtscheller G (2008) Control of an electrical prosthesis with an SSVEP-based BCI. IEEE Trans Biomed Eng 55:361–364
Nicolas-Alonso LF, Gomez-Gil J (2012) Brain computer interfaces, a review. Sensors (Basel) 12:1211–1279
Nicolelis MAL (2001) Actions from thoughts. Nature 409:403–407
Nicolelis MA (2011) Beyond boundaries: the new neuroscience of connecting brains with machines – and how It will change our lives. Times Books, New York, 354 pp
Nicolelis MA, Lebedev MA (2009) Principles of neural ensemble physiology underlying the operation of brain-machine interfaces. Nat Rev Neurosci 10:530–540
Nurmikko AV, Donoghue JP, Hochberg LR, Patterson WR, Song YK, Bull CW, Borton DA, Laiwalla F, Park S, Ming Y, Aceros J (2010) Listening to brain microcircuits for interfacing with external world-progress in wireless implantable microelectronic neuroengineering devices. Proc IEEE Inst Electr Electron Eng 98(3):375–388
O’Doherty JE, Lebedev MA, Hanson TL, Fitzsimmons NA, Nicolelis MA (2009) A brain-machine interface instructed by direct intracortical microstimulation. Front Integr Neurosci 3:20. doi:10.3389/neuro.07.020.2009
O’Doherty JE, Lebedev MA, Ifft PJ, Zhuang KZ, Shokur S, Bleuler H, Nicolelis MA (2011) Active tactile exploration using a brain-machine-brain interface. Nature 479(7372):228–231. doi:10.1038/nature10489
Opris I (2013) Inter-laminar microcircuits across the neocortex: repair and augmentation. Research topic: “Augmentation of brain function: facts, fiction and controversy”, Lebedev MA, Opris I and Casanova MF (eds). Front Syst Neurosci 7:80. doi:10.3389/fnsys.2013.00080
Opris I, Casanova MF (2014) Prefrontal cortical minicolumn: from executive control to disrupted cognitive processing. Brain 137(7):1863–1875
Opris I, Hampson RE, Stanford TR, Gerhard GA, Deadwyler SA (2011) Neural activity in frontal cortical cell layers: evidence for columnar sensorimotor processing. J Cogn Neurosci 23(6):1507–1521
Opris I, Hampson RE, Gerhardt GA, Berger TW, Deadwyler SA (2012a) Columnar processing in primate pFC: evidence for executive control microcircuits. J Cogn Neurosci 24(12):2334–2347
Opris I, Fuqua JL, Huettl PF, Gerhardt GA, Berger TW, Hampson RE, Deadwyler SA (2012b) Closing the loop in primate prefrontal cortex: inter-laminar processing. Front Neural Circuits 6:88
Opris I, Santos LM, Song D, Gerhardt GA, Berger TW, Hampson RE, Deadwyler SA (2013) Prefrontal cortical microcircuits bind perception to executive control. Sci Rep 3:2285
Opris I, Fuqua JL, Gerhardt GA, Hampson RE, Deadwyler SA (2014) Prefrontal cortical recordings with biomorphic MEAs reveal complex columnar-laminar microcircuits for BCI/BMI implementation. J Neurosci Methods. S0165-0270(14)00197-6
Pfurtscheller G, Müller GR, Pfurtscheller J, Gerner HJ, Rupp R (2003) ‘Thought’–control of functional electrical stimulation to restore hand grasp in a patient with tetraplegia. Neurosci Lett 351:33–36
Pohlmeyer EA, Oby ER, Perreault EJ, Solla SA, Kilgore KL, Kirsch RF, Miller LE (2009) Toward the restoration of hand use to a paralyzed monkey: brain-controlled functional electrical stimulation of forearm muscles. PLoS ONE 4:e5924
Presacco A, Forrester LW, Contreras-Vidal JL (2012) Decoding intra-limb and inter-limb kinematics during treadmill walking from scalp electroencephalographic (EEG) signals. IEEE Trans Neural Syst Rehabil Eng 20:212–219
Quiroga RQ, Reddy L, Kreiman G, Koch C, Fried I (2005) Invariant visual representation by single neurons in the human brain. Nature 435:1102–1107
Romo R, Hernández A, Zainos A, Brody CD, Lemus L (2000) Sensing without touching: psychophysical performance based on cortical microstimulation. Neuron 26:273–278
Romo R, Hernández A, Salinas E, Brody CD, Zainos A, Lemus L, de Lafuente V, Luna R (2002) From sensation to action. Behav Brain Res 135(1–2):105–118
Sampaio E, Maris S, Bach-y-Rita P (2001) Brain plasticity: ‘visual’ acuity of blind persons via the tongue. Brain Res 908:204–207
Schmidt EM (1980) Single neuron recording from motor cortex as a possible source of signals for control of external devices. Ann Biomed Eng 8:339–349
Schott GD (1993) Penfield’s homunculus: a note on cerebral cartography. J Neurol Neurosurg Psychiatry 56:329–333
Schwartz AB, Cui XT, Weber DJ, Moran DW (2006) Brain-controlled interfaces: movement restoration with neural prosthetics. Neuron 52:205–220
Sellers EW, Vaughan TM, Wolpaw JR (2010) A brain-computer interface for long-term independent home use. Amyotroph Lateral Scler 11:449–455
Shannon RV (2012) Advances in auditory prostheses. Curr Opin Neurol 25:61–66
Sherrington CS (1906) The integrative action of the nervous system. Charles Scribner’s Sons, Liverpool, 411 pp
Sitaram R, Caria A, Birbaumer N (2009) Hemodynamic brain-computer interfaces for communication and rehabilitation. Neural Netw 22:1320–1328
Song D, Chan RH, Marmarelis VZ, Hampson RE, Deadwyler SA, Berger TW (2009b) Nonlinear modeling of neural population dynamics for hippocampal prostheses. Neural Netw 22(9):1340–1351. doi:10.1016/j.neunet.2009.05.004
Sussillo D, Nuyujukian P, Fan JM, Kao JC, Stavisky SD, Ryu S, Shenoy K (2012) A recurrent neural network for closed-loop intracortical brain-machine interface decoders. J Neural Eng 9:026027
Tangermann M, Krauledat M, Grzeska K, Sagebaum M, Blankertz B, Vidaurre C, Müller KR (2009) Playing pinball with non-invasive BCI. Adv Neural Inf Process Syst 21:1641–1648
Tavella M, Leeb R, Rupp R, Millán JdR (2010) Towards natural non-invasive hand neuroprostheses for daily living. In: Proceedings of the 32nd annual international conference of the IEEE engineering in medicine and biology society, Buenos Aires
Taylor DM, Tillery SI, Schwartz AB (2002) Direct cortical control of 3D neuroprosthetic devices. Science 296:1829–1832
Thomson AM, Bannister AP (2003) Interlaminar connections in the neocortex. Cereb Cortex 13(1):5–14
Van Essen DC, Newsome WT, Bixby JL (1982) The pattern of interhemispheric connections and its relationship to extrastriate visual areas in the macaque monkey. J Neurosci 2(3):265–283
Velliste M, Perel S, Spalding MC, Whitford AS, Schwartz AB (2008) Cortical control of a prosthetic arm for self-feeding. Nature 453(7198):1098–1101
Vialatte FB, Maurice M, Dauwels J, Cichocki A (2010) Steady-state visually evoked potentials: focus on essential paradigms and future perspectives. Prog Neurobiol 90:418–438
Vlek RJ, Steines D, Szibbo D, Kübler A, Schneider MJ, Haselager P, Nijboer F (2012) Ethical issues in brain-computer interface research, development, and dissemination. J Neurol Phys Ther 36:94–99
Wessberg J, Stambaugh CR, Kralik JD, Beck PD, Laubach M, Chapin JK, Kim J, Biggs SJ, Srinivasan MA, Nicolelis MA (2000) Real-time prediction of hand trajectory by ensembles of cortical neurons in primates. Nature 408:361–365
Wilson BS, Dorman MF (2008) Cochlear implants: a remarkable past and a brilliant future. Hear Res 242:3–21
Wise SP (1985) The primate premotor cortex: past, present, and preparatory. Annu Rev Neurosci 8:1–19
Wolpaw JR, McFarland DJ (2004) Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. Proc Natl Acad Sci U S A 101:17849–17854
Zacksenhouse M, Lebedev MA, Carmena JM, O’Doherty JE, Henriquez C, Nicolelis MA (2007) Cortical modulations increase in early sessions with brain-machine interface. PLoS ONE 2:e619
Zhang F, Aravanis AM, Adamantidis A, de Lecea L, Deisseroth K (2007) Circuit-breakers: optical technologies for probing neural signals and systems. Nat Rev Neurosci 8:577–581
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Lebedev, M., Opris, I. (2015). Brain-Machine Interfaces: From Macro- to Microcircuits. In: Casanova, M., Opris, I. (eds) Recent Advances on the Modular Organization of the Cortex. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9900-3_21
Download citation
DOI: https://doi.org/10.1007/978-94-017-9900-3_21
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-017-9899-0
Online ISBN: 978-94-017-9900-3
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)