A chronic generalized bi-directional brain-machine interface

Journal of Neural Engineering

Volumn 8, Issue 3, 2011, Pages

  Rouse, A G ^a   Stanslaski, S R ^b   Cong, P ^b   Jensen, R M ^b   Afshar, P ^b   Ullestad, D ^b   Gupta, R ^c   Molnar, G F ^c   Moran, D W ^a   Denison, T J ^b  

^a WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

^b Medtronic Neuromodulation   (United States)

^c Neurostimulation Research   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BI-DIRECTIONAL; BRAIN ACTIVITY; BRAIN MACHINE INTERFACE; BRAIN STATE; CHRONIC IMPLANTATION; COMPUTER CURSOR; DATA LOGGING; DECODING PERFORMANCE; DEVICE SYSTEM; DISEASE STATE; ELECTROCORTIGRAM; EVENT-BASED; FIELD POTENTIAL; FOUR-CHANNEL; IN-VIVO; INTERFACE CIRCUITS; KEY ELEMENTS; MICROPOWER; MOVEMENT DISORDERS; NEURAL INTERFACES; NEURAL RECORDINGS; NEURAL STIMULATOR; NON-HUMAN PRIMATE; PARKINSON'S DISEASE; RELIABLE OPERATION; RESEARCH PROTOTYPE; SPECTRAL ANALYSIS; SPECTRAL CONTENT; SYSTEM INFRASTRUCTURE; SYSTEM PROTOTYPE; THREE AXIS ACCELEROMETERS; VERIFICATION TESTING; WIRELESS TELEMETRY;

ACCELEROMETERS; BRAIN; COMPUTER CONTROL SYSTEMS; INSTRUMENT TESTING; INTERFACES (COMPUTER); LOGIC CIRCUITS; SPECTRUM ANALYSIS;

BRAIN COMPUTER INTERFACE;

ANALYTICAL PARAMETERS; ANIMAL EXPERIMENT; ARTICLE; BRAIN DEPTH STIMULATION; BRAIN MACHINE INTERFACE; ELECTROENCEPHALOGRAM; IN VIVO CULTURE; NERVE STIMULATION; NONHUMAN; PRIORITY JOURNAL; RELIABILITY; SIGNAL DETECTION; STANDARD; BRAIN; COMPUTER ASSISTED THERAPY; ELECTROENCEPHALOGRAPHY; ELECTROSTIMULATION THERAPY; EQUIPMENT; EQUIPMENT DESIGN; HUMAN; INSTRUMENTATION; PARKINSON DISEASE; PATHOPHYSIOLOGY; PROSTHESES AND ORTHOSES;

PRIMATES;

BRAIN; ELECTRIC STIMULATION THERAPY; ELECTROENCEPHALOGRAPHY; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; HUMANS; PARKINSON DISEASE; PROSTHESES AND IMPLANTS; THERAPY, COMPUTER-ASSISTED;

EID: 79957957834     PISSN: 17412560     EISSN: 17412552     Source Type: Journal    
DOI: 10.1088/1741-2560/8/3/036018     Document Type: Article

References (46)

1. Kuhn A A et al 2008 High-frequency stimulation of the subthalamic nucleus suppresses oscillatory Beta activity in patients with Parkinson's disease in parallel with improvement in motor performance J. Neurosci. 28 6165
2. Rossi L et al 2008 Subthalamic local field potential oscillations during ongoing deep brain stimulation in Parkinson's disease Brain Res. Bull. 76 512-21
3. Ince N F et al 2010 Selection of optimal programming contacts based on local field potential recordings from subthalamic nucleus in patients with Parkinson's disease Neurosurgery 67 390-7
4. Yoshida F et al 2010 Value of subthalamic nucleus local field potentials recordings in predicting stimulation parameters for deep brain stimulation in Parkinson's disease J. Neurol. Neurosurg. Psychiatry 81 885-9
5. Osorio I, Frei M G and Wilkinson S B 1998 Real-time automated detection and quantitative analysis of seizures and short-term prediction of clinical onset Epilepsia 39 615-27 (Pubitemid 28265429)
6. Debener S, Beauducel A, Nessler D, Brocke B, Heilemann H and Kayser J 2000 Is resting anterior EEG alpha asymmetry a trait marker for depression? Neuropsychobiology 41 31-7
7. Starkstein S E, Mayberg H S, Leiguarda R, Preziosi T J and Robinson R G 1992 A prospective longitudinal study of depression, cognitive decline, and physical impairments in patients with Parkinson's disease J. Neurol. Neurosurg. Psychiatry 55 377-82
8. Litt B and Echauz J 2002 Prediction of epileptic seizures Lancet Neurol. 1 22-30 (Pubitemid 37159195)
9. Mormann F, Elger C E and Lehnertz K 2006 Seizure anticipation: from algorithms to clinical practice Curr. Opin. Neurol. 19 187-93
10. Mormann F, Andrzejak R G, Elger C E and Lehnertz K 2007 Seizure prediction: the long and winding road Brain 130 314
11. Schwartz A B, Cui X T, Weber D J and Moran D W 2006 Brain-controlled interfaces: movement restoration with neural prosthetics Neuron 52 205-20 (Pubitemid 44466359)
12. Leuthardt E C, Schalk G, Moran D and Ojemann J G 2006 The emerging world of motor neuroprosthetics: a neurosurgical perspective Neurosurgery 59 1
13. Hatsopoulos N G and Donoghue J P 2009 The science of neural interface systems Annu. Rev. Neurosci. 32 249-66
14. Hochberg L R et al 2006 Neuronal ensemble control of prosthetic devices by a human with tetraplegia Nature 442 164-71 (Pubitemid 44086558)
15. Ryu S I and Shenoy K V 2009 Human cortical prostheses: lost in translation? Neurosurg. Focus 27 E5
16. Kennedy P R and Bakay R A 1998 Restoration of neural output from a paralyzed patient by a direct brain connection Neuroreport 9 1707-11 (Pubitemid 28289171)
17. Kempf F et al 2007 Premovement activities in the subthalamic area of patients with Parkinson's disease and their dependence on task Eur. J. Neurosci. 25 3137-45 (Pubitemid 46888797)
18. Marceglia S, Rossi L, Foffani G, Bianchi A, Cerutti S and Priori A 2007 Basal ganglia local field potentials: applications in the development of new deep brain stimulation devices for movement disorders Expert Rev. Med. Devices 4 605-14 (Pubitemid 47499968)
19. Krusienski D, Schalk G, McFarland D and Wolpaw J 2007 A mu-rhythm matched filter for continuous control of a brain - computer interface IEEE Trans. Biomed. Eng. 54 273-80
20. Fabiani G, McFarland D, Wolpaw J and Pfurtscheller G 2004 Conversion of EEG activity into cursor movement by a brain - computer interface IEEE Trans. Neural Syst. Rehabil. Eng. 12 331-8
21. Beshel J, Kopell N and Kay L M 2007 Olfactory bulb gamma oscillations are enhanced with task demands J. Neurosci. 27 8358-65 (Pubitemid 47219623)
22. Kay L M and Stopfer M 2006 Information processing in the olfactory systems of insects and vertebrates Semin. Cell Dev. Biol. 17 433-42 (Pubitemid 44314100)
23. Womelsdorf T, Fries P, Mitra P P and Desimone R 2006 Gamma-band synchronization in visual cortex predicts speed of change detection Nature 439 733-6 (Pubitemid 43237620)
24. Siegel M, Donner T H, Oostenveld R, Fries P and Engel A K 2008 Neuronal synchronization along the dorsal visual pathway reflects the focus of spatial attention Neuron 60 709-19
25. Firpi H, Smart O, Worrell G, Marsh E, Dlugos D and Litt B 2007 High-frequency oscillations detected in epileptic networks using swarmed neural-network features Ann. Biomed. Eng. 35 1573-84 (Pubitemid 350092433)
26. Smart O, Worrell G, Vachtsevanos G and Litt B 2005 Automatic detection of high frequency epileptiform oscillations from intracranial EEG recordings of patients with neocortical epilepsy Technical, Professional and Student Development Workshop, 2005 IEEE Region 5 and IEEE Denver Section pp 53-8
27. Worrell G A, Parish L, Cranstoun S D, Jonas R, Baltuch G and Litt B 2004 High-frequency oscillations and seizure generation in neocortical epilepsy Brain 127 1496-506 (Pubitemid 38899403)
28. Loukas C and Brown P 2004 Online prediction of self-paced hand-movements from subthalamic activity using neural networks in Parkinson's disease J. Neurosci. Methods 137 193-205 (Pubitemid 38942881)
29. Weinberger M et al 2006 Beta oscillatory activity in the subthalamic nucleus and its relation to dopaminergic response in Parkinson's disease J. Neurophysiol. 96 3248-56 (Pubitemid 44837869)
30. Parikh R M, Robinson R G, Lipsey J R, Starkstein S E, Fedoroff J P and Price T R 1990 The impact of poststroke depression on recovery in activities of daily living over a 2-year follow-up Arch. Neurol. 47 785-9 (Pubitemid 20208619)
31. Shoeb A, Carlson D, Panken E and Denison T 2009 A micropower support vector machine based seizure detection architecture for embedded medical devices Annu. Int. Conf. Proc. of the IEEE Engineering in Medicine and Biology Society vol 2009 pp 4202-5
32. Nolte J 2008 The Human Brain: An Introduction to its Functional Anatomy 6th edn (St Louis, MO: Mosby)
33. Butson C R and McIntyre C C 2006 Role of electrode design on the volume of tissue activated during deep brain stimulation J. Neural Eng. 3 1
34. Avestruz A et al 2008 A 5 μW/channel spectral analysis IC for chronic bidirectional brain machine interfaces IEEE J. Solid-State Circuits 43 3006-24
35. Jochum T, Denison T and Wolf P 2009 Integrated circuit amplifiers for multi-electrode intracortical recording J. Neural Eng. 6 012001
36. Denison T, Consoer K, Kelly A, Hachenburg A and Santa W 2007 A 2.2 μW 94 nV/√Hz, chopper-stabilized instrumentation amplifier for EEG detection in chronic implants Solid-State Circuits Conf. Digest of Technical Papers. IEEE Int. pp 162-594
37. Yazicioglu R, Kim S, Torfs T, Merken P and Van Hoof C 2010 A 30 μW analog signal processor ASIC for biomedical signal monitoring Solid-State Circuits Conf. Digest of Technical Papers. IEEE Int. pp 124-5
38. Denison T, Consoer K, Santa W, Hutt M and Mieser K 2007 A 2 μW three-axis MEMS-based accelerometer Instrumentation and Measurement Technology Conf. Proc. 2007. IEEE pp 1-6
39. Sarpeshkar R 2006 Brain power - borrowing from biology makes for low power computing [bionic ear] IEEE Spectr. 43 24-9
40. Chao Z C, Nagasaka Y and Fujii N 2010 Long-term asynchronous decoding of arm motion using electrocorticographic signals in monkeys Front Neuroeng. 3 3
41. Harrison R R et al 2007 A low-power integrated circuit for a wireless 100-electrode neural recording system IEEE J. Solid-State Circuits 42 123-33
42. Stead M et al 2010 Microseizures and the spatiotemporal scales of human partial epilepsy Brain 133 2789-97
43. Heldman D, Wang W, Chan S and Moran D 2006 Local field potential spectral tuning in motor cortex during reaching IEEE Trans. Neural Syst. Rehabil. Eng. 14 180-3 (Pubitemid 44150236)
44. Ray S, Crone N E, Niebur E, Franaszczuk P J and Hsiao S S 2008 Neural correlates of high-gamma oscillations (60-200 Hz) in macaque local field potentials and their potential implications in electrocorticography J. Neurosci. 28 11526-36
45. Chae M S, Liu W and Sivaprakasam M 2008 Design optimization for integrated neural recording systems IEEE J. Solid-State Circuits 43 1931-9
46. Rapoport B I, Wattanapanitch W, Penagos H L, Musallam S, Andersen R A and Sarpeshkar R 2009 A biomimetic adaptive algorithm and low-power architecture for implantable neural decoders Conf. Proc.: Annu. Int. Conf. of the IEEE Engineering in Medicine and Biology Society. vol 2009 pp 4214-7