NDLI: Coherency between spike and LFP activity in M1 during hand movements

Content Provider	IEEE Xplore Digital Library
Author	Mollazadeh, M. Aggarwal, V. Thakor, N.V. Law, A.J. Davidson, A. Schieber, M.H.
Copyright Year	2009
Description	Author affiliation: Neurology, University of Rochester, NY, USA (Davidson, A.; Schieber, M.H.) \|\| Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA (Mollazadeh, M.; Aggarwal, V.; Thakor, N.V.) \|\| Department of Biomedical Eng., University of Rochester, NY, USA (Law, A.J.)
Abstract	Local field potentials (LFP) represent the dendritic activity of a population of cells near the recording electrode. However, how LFP activity is related to single unit activity, and if it provides any additional information has not been well studied. Previously we have shown that temporal spectral modulation of LFP activity can be used to decode dexterous movements of the hand. Here, we analyze simultaneous spike and LFP recordings from M1 cortex in a rhesus monkey performing fine hand movements. Using multitaper spectral analysis, we found that both LFP and spiking activity show an increase in power in the ≪12 Hz and 70–200 Hz (high gamma) ranges, but, were significantly coherent only during the pre-movement time at low frequencies (≪12 Hz). Furthermore, using either LFP or spiking activity, we were able to decode amongst three different hand grasps with high accuracy (99% using 97 spikes and 70% using 8 LFP channels). However, while spikes were better in decoding movement types, LFPs performed much better (94% success) than spikes (77%) when differentiating between rest and movement. We also found that combining spike and LFP activity can improve decoding performance when fewer spikes are considered, as may be the case when single unit recordings degrade over time (71% using 40 spikes and 76% using 8 LFPs, vs 88% using 40 spikes + 8 LFPs). Thus, the relative stability of LFP activity can help augment single-unit activity for the chronic operation of a multimodal BMI.
Starting Page	506
Ending Page	509
File Size	505908
Page Count	4
File Format	PDF
ISBN	9781424420728
DOI	10.1109/NER.2009.5109344
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-04-29
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stability dexterous movements Neural engineering Decoding Local field potentials (LFP) Spectral analysis Degradation brain machine interface (BMI) USA Councils spikes coherency Frequency Performance analysis Biomedical engineering Biomedical electrodes
Content Type	Text
Resource Type	Article

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