Long-term asynchronous decoding of arm motion using electrocorticographic signals in monkeys.
Brain-machine interfaces (BMIs) employ the electrical activity generated by cortical neurons directly for controlling external devices and have been conceived as a means for restoring human cognitive or sensory-motor functions. The dominant approach in BMI research has been to decode motor variables based on single-unit activity (SUA). Unfortunately, this approach suffers from poor long-term stability and daily recalibration is normally required to maintain reliable performance. A possible alternative is BMIs based on electrocorticograms (ECoGs), which measure population activity and may provide more durable and stable recording. However, the level of long-term stability that ECoG-based decoding can offer remains unclear. Here we propose a novel ECoG-based decoding paradigm and show that we have successfully decoded hand positions and arm joint angles during an asynchronous food-reaching task in monkeys when explicit cues prompting the onset of movement were not required. Performance using our ECoG-based decoder was comparable to existing SUA-based systems while evincing far superior stability and durability. In addition, the same decoder could be used for months without any drift in accuracy or recalibration. These results were achieved by incorporating the spatio-spectro-temporal integration of activity across multiple cortical areas to compensate for the lower fidelity of ECoG signals. These results show the feasibility of high-performance, chronic and versatile ECoG-based neuroprosthetic devices for real-life applications. This new method provides a stable platform for investigating cortical correlates for understanding motor control, sensory perception, and high-level cognitive processes.
Chao
Zenas C
ZC
Laboratory for Adaptive Intelligence, RIKEN Brain Science Institute Saitama, Japan.
Nagasaka
Yasuo
Y
Fujii
Naotaka
N
J Neurosci. 1995 Sep;15(9):6271-80
7666209
Neuron. 2002 May 30;34(5):841-51
12062029
Annu Rev Neurosci. 1992;15:167-91
1575441
Trends Neurosci. 2006 Sep;29(9):536-46
16859758
IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):194-8
16792292
J Neural Eng. 2006 Dec;3(4):327-37
17124337
J Neural Eng. 2009 Feb;6(1):016006
19155551
J Neural Eng. 2004 Jun;1(2):63-71
15876624
J Neural Eng. 2007 Sep;4(3):264-75
17873429
J Neural Eng. 2007 Jun;4(2):146-58
17409488
Neuroimage. 2008 Jun;41(2):302-10
18424182
Nature. 2000 Nov 16;408(6810):361-5
11099043
J Neural Eng. 2009 Dec;6(6):066001
19794237
Brain Res. 2003 Sep 5;983(1-2):23-35
12914963
J Neurosci. 2008 Jan 23;28(4):1000-8
18216207
Nat Rev Neurosci. 2003 May;4(5):417-22
12728268
J Neurosci Methods. 2003 Mar 15;123(2):129-37
12606062
IEEE Trans Rehabil Eng. 2000 Jun;8(2):180-5
10896180
Nat Neurosci. 2002 Nov;5 Suppl:1085-8
12403992
J Neurosci. 1991 Jun;11(6):1855-72
2045890
Clin Neurophysiol. 2003 Jun;114(6):1053-68
12804674
Neurosurgery. 1979 Dec;5(6):681-6
160513
IEEE Trans Biomed Eng. 2004 Jun;51(6):896-904
15188856
Nature. 2000 Jun 1;405(6786):567-71
10850715
Biomaterials. 1987 Mar;8(2):138-41
3555632
PLoS Biol. 2003 Nov;1(2):E42
14624244
J Neural Eng. 2006 Sep;3(3):196-207
16921203
J Neurosci. 2007 Oct 3;27(40):10742-50
17913908
Neurotherapeutics. 2008 Jan;5(1):137-46
18164493
J Neurosci. 2008 Nov 12;28(46):11830-8
19005048
Prog Brain Res. 2009;175:297-315
19660664
J Physiol. 1998 May 15;509 ( Pt 1):3-14
9547376
Annu Rev Neurosci. 1999;22:241-59
10202539
Neurosurg Clin N Am. 1993 Apr;4(2):311-25
8467217
J Neurophysiol. 1995 Jun;73(6):2563-7
7666162
J Neurophysiol. 2008 Jan;99(1):166-86
18003881
J Biomed Mater Res. 1977 Mar;11(2):195-210
323263
Neuron. 2002 Oct 24;36(3):349-62
12408840
J Physiol Paris. 2004 Jul-Nov;98(4-6):498-506
16310349
J Neurosci. 2005 Sep 28;25(39):8815-24
16192371
J Neurosci Methods. 2008 Jan 15;167(1):105-14
18022247
J Neurosci Methods. 2008 Jan 15;167(1):63-81
17582507
Annu Rev Neurosci. 2009;32:249-66
19400719
Curr Opin Neurobiol. 1997 Dec;7(6):849-59
9464979
J Neural Eng. 2008 Mar;5(1):75-84
18310813
Neuron. 2006 Oct 5;52(1):205-20
17015237
Trends Neurosci. 2003 Jun;26(6):329-34
12798603