title: Decoding 3-D reach and grasp kinematics from high-frequency local field potentials in primate primary motor cortex.
abstract: Intracortical microelectrode array recordings generate a variety of neural signals with potential application as control signals in neural interface systems. Previous studies have focused on single and multiunit activity (MUA), as well as low-frequency local field potentials (LFPs), but have not explored higher frequency (>200 Hz) LFPs. In addition, the potential to decode 3-D reach and grasp kinematics based on LFPs has not been demonstrated. Here, we use mutual information and decoding analyses to probe the information content about 3-D reaching and grasping of seven different LFP frequency bands in the range of 0.3-400 Hz. LFPs were recorded via 96-microelectrode arrays in primary motor cortex (M1) of two monkeys performing free reaching to grasp moving objects. Mutual information analyses revealed that higher frequency bands (e.g., 100-200 and 200-400 Hz) carried the most information about the examined kinematics. Furthermore, Kalman filter decoding revealed that broad-band high frequency LFPs, likely reflecting MUA, provided the best decoding performance as well as substantial accuracy in reconstructing reach kinematics, grasp aperture, and aperture velocity. These results indicate that LFPs, especially high frequency bands, could be useful signals for neural interfaces controlling 3-D reach and grasp kinematics.
authors.affiliation: Department of Neuroscience, Brown University, Providence, RI 02912, USA. zhuang.sh.cn@hotmail.com
authors.forename: Jun
authors.initials: J
authors.lastname: Zhuang
authors.forename: Wilson
authors.initials: W
authors.lastname: Truccolo
authors.forename: Carlos
authors.initials: C
authors.lastname: Vargas-Irwin
authors.forename: John P
authors.initials: JP
authors.lastname: Donoghue
mesh_terms: D000818:Animals; D001696:Biomechanical Phenomena / Q000502:physiology*; D006225:Hand / Q000502:physiology; D018737:Hand Strength / Q000502:physiology*; D008251:Macaca; D008297:Male; D008839:Microelectrodes; D009044:Motor Cortex / Q000502:physiology*; D012815:Signal Processing, Computer-Assisted; D055366:Synaptic Potentials / Q000502:physiology*; D014584:User-Computer Interface
references.citation: Nat Neurosci. 2002 Aug;5(8):805-11
references.pmid: 12134152
references.citation: Neural Netw. 2009 Nov;22(9):1257-70
references.pmid: 19647981
references.citation: Nature. 2006 Jul 13;442(7099):164-71
references.pmid: 16838014
references.citation: J Neurophysiol. 2006 Sep;96(3):1492-506
references.pmid: 16738219
references.citation: Nat Neurosci. 2003 Dec;6(12):1253-4
references.pmid: 14634657
references.citation: J Neurosci. 2007 Oct 3;27(40):10742-50
references.pmid: 17913908
references.citation: Nature. 2008 Jun 19;453(7198):1098-101
references.pmid: 18509337
references.citation: IEEE Trans Neural Syst Rehabil Eng. 2005 Dec;13(4):524-41
references.pmid: 16425835
references.citation: J Neurophysiol. 2009 Aug;102(2):1331-9
references.pmid: 19535480
references.citation: Neuron. 2009 Oct 29;64(2):281-9
references.pmid: 19874794
references.citation: J Neurosci. 2005 Sep 28;25(39):8815-24
references.pmid: 16192371
references.citation: J Neurosci. 2007 Aug 1;27(31):8387-94
references.pmid: 17670985
references.citation: J Neural Eng. 2008 Mar;5(1):75-84
references.pmid: 18310813
references.citation: J Physiol. 2007 Mar 15;579(Pt 3):603-11
references.pmid: 17272345
references.citation: J Neurosci. 1982 Nov;2(11):1527-37
references.pmid: 7143039
references.citation: Philos Trans R Soc Lond B Biol Sci. 2002 Aug 29;357(1424):1003-37
references.pmid: 12217171
references.citation: IEEE Trans Biomed Eng. 2008 May;55(5):1634-7
references.pmid: 18440909
references.citation: Neuron. 2005 Apr 21;46(2):347-54
references.pmid: 15848811
references.citation: J Neurosci. 2008 Jan 30;28(5):1163-78
references.pmid: 18234894
references.citation: Neural Comput. 2006 Jan;18(1):80-118
references.pmid: 16354382
references.citation: J Neurosci. 2006 Jul 26;26(30):7779-90
references.pmid: 16870724
references.citation: J Neural Eng. 2007 Sep;4(3):264-75
references.pmid: 17873429
references.citation: IEEE Trans Neural Syst Rehabil Eng. 2009 Aug;17(4):339-45
references.pmid: 19502132
references.citation: J Neurosci Methods. 2008 Jan 15;167(1):105-14
references.pmid: 18022247
references.citation: J Neurosci Methods. 2008 Jan 15;167(1):63-81
references.pmid: 17582507
references.citation: Nature. 2000 Nov 16;408(6810):361-5
references.pmid: 11099043
references.citation: J Neurosci. 2008 Nov 5;28(45):11526-36
references.pmid: 18987189
references.citation: J Neurophysiol. 1999 Nov;82(5):2676-92
references.pmid: 10561437
references.citation: Nature. 2002 Mar 14;416(6877):141-2
references.pmid: 11894084
references.citation: Annu Rev Biomed Eng. 2005;7:327-60
references.pmid: 16004574
references.citation: J Neurophysiol. 2004 Jan;91(1):515-32
references.pmid: 13679402
references.citation: J Neurosci. 2010 Jul 21;30(29):9659-69
references.pmid: 20660249