scholarly journals Relationships among low-frequency local field potentials, spiking activity, and three-dimensional reach and grasp kinematics in primary motor and ventral premotor cortices

2011 ◽  
Vol 105 (4) ◽  
pp. 1603-1619 ◽  
Author(s):  
Arjun K. Bansal ◽  
Carlos E. Vargas-Irwin ◽  
Wilson Truccolo ◽  
John P. Donoghue
Keyword(s):  
Motor Cortex ◽  
Local Field ◽  
Single Unit ◽  
Primary Motor Cortex ◽  
Large Population ◽  
Low Frequency ◽  
Event Related Potential ◽  
Field Potentials ◽  
Reach And Grasp ◽  
Spiking Activity

A prominent feature of motor cortex field potentials during movement is a distinctive low-frequency local field potential ( lf-LFP) (<4 Hz), referred to as the movement event-related potential (mEP). The lf-LFP appears to be a global signal related to regional synaptic input, but its relationship to nearby output signaled by single unit spiking activity (SUA) or to movement remains to be established. Previous studies comparing information in primary motor cortex (MI) lf-LFPs and SUA in the context of planar reaching tasks concluded that lf-LFPs have more information than spikes about movement. However, the relative performance of these signals was based on a small number of simultaneously recorded channels and units, or for data averaged across sessions, which could miss information of larger-scale spiking populations. Here, we simultaneously recorded LFPs and SUA from two 96-microelectrode arrays implanted in two major motor cortical areas, MI and ventral premotor (PMv), while monkeys freely reached for and grasped objects swinging in front of them. We compared arm end point and grip aperture kinematics′ decoding accuracy for lf-LFP and SUA ensembles. The results show that lf-LFPs provide enough information to reconstruct kinematics in both areas with little difference in decoding performance between MI and PMv. Individual lf-LFP channels often provided more accurate decoding of single kinematic variables than any one single unit. However, the decoding performance of the best single unit among the large population usually exceeded that of the best single lf-LFP channel. Furthermore, ensembles of SUA outperformed the pool of lf-LFP channels, in disagreement with the previously reported superiority of lf-LFP decoding. Decoding results suggest that information in lf-LFPs recorded from intracortical arrays may allow the reconstruction of reach and grasp for real-time neuroprosthetic applications, thus potentially supplementing the ability to decode these same features from spiking populations.

scholarly journals Reward Expectation Modulates Local Field Potentials, Spiking Activity and Spike-Field Coherence in the Primary Motor Cortex

eNeuro ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. ENEURO.0178-19.2019 ◽  
Author(s):  
Junmo An ◽  
Taruna Yadav ◽  
John P. Hessburg ◽  
Joseph T. Francis
Keyword(s):  
Motor Cortex ◽  
Local Field ◽  
Primary Motor Cortex ◽  
Local Field Potentials ◽  
Field Potentials ◽  
Field Coherence ◽  
Spiking Activity

scholarly journals Single-unit activity, threshold crossings, and local field potentials in motor cortex differentially encode reach kinematics

2015 ◽  
Vol 114 (3) ◽  
pp. 1500-1512 ◽  
Author(s):  
Sagi Perel ◽  
Patrick T. Sadtler ◽  
Emily R. Oby ◽  
Stephen I. Ryu ◽  
Elizabeth C. Tyler-Kabara ◽  
...  
Keyword(s):  
Motor Cortex ◽  
Local Field ◽  
Unit Activity ◽  
Single Unit ◽  
Primary Motor Cortex ◽  
Spatial Scales ◽  
Local Field Potentials ◽  
Single Unit Activity ◽  
Field Potentials ◽  
Threshold Crossing

A diversity of signals can be recorded with extracellular electrodes. It remains unclear whether different signal types convey similar or different information and whether they capture the same or different underlying neural phenomena. Some researchers focus on spiking activity, while others examine local field potentials, and still others posit that these are fundamentally the same signals. We examined the similarities and differences in the information contained in four signal types recorded simultaneously from multielectrode arrays implanted in primary motor cortex: well-isolated action potentials from putative single units, multiunit threshold crossings, and local field potentials (LFPs) at two distinct frequency bands. We quantified the tuning of these signal types to kinematic parameters of reaching movements. We found 1) threshold crossing activity is not a proxy for single-unit activity; 2) when examined on individual electrodes, threshold crossing activity more closely resembles LFP activity at frequencies between 100 and 300 Hz than it does single-unit activity; 3) when examined across multiple electrodes, threshold crossing activity and LFP integrate neural activity at different spatial scales; and 4) LFP power in the “beta band” (between 10 and 40 Hz) is a reliable indicator of movement onset but does not encode kinematic features on an instant-by-instant basis. These results show that the diverse signals recorded from extracellular electrodes provide somewhat distinct and complementary information. It may be that these signal types arise from biological phenomena that are partially distinct. These results also have practical implications for harnessing richer signals to improve brain-machine interface control.

Force decoding using local field potentials in primary motor cortex: PLS or Kalman filter regression?

2020 ◽  
Vol 43 (1) ◽  
pp. 175-186 ◽  
Author(s):  
Nargess Heydari Beni ◽  
Reza Foodeh ◽  
Vahid Shalchyan ◽  
Mohammad Reza Daliri
Keyword(s):  
Kalman Filter ◽  
Motor Cortex ◽  
Local Field ◽  
Primary Motor Cortex ◽  
Local Field Potentials ◽  
Field Potentials

scholarly journals Subthalamic Nucleus Neurons Are Synchronized to Primary Motor Cortex Local Field Potentials in Parkinson's Disease

2013 ◽  
Vol 33 (17) ◽  
pp. 7220-7233 ◽  
Author(s):  
S. A. Shimamoto ◽  
E. S. Ryapolova-Webb ◽  
J. L. Ostrem ◽  
N. B. Galifianakis ◽  
K. J. Miller ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Motor Cortex ◽  
Subthalamic Nucleus ◽  
Local Field ◽  
Primary Motor Cortex ◽  
Local Field Potentials ◽  
Field Potentials

scholarly journals Continuous Force Decoding from Local Field Potentials of the Primary Motor Cortex in Freely Moving Rats

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Abed Khorasani ◽  
Nargess Heydari Beni ◽  
Vahid Shalchyan ◽  
Mohammad Reza Daliri
Keyword(s):  
Motor Cortex ◽  
Local Field ◽  
Primary Motor Cortex ◽  
Local Field Potentials ◽  
Field Potentials ◽  
Freely Moving Rats ◽  
Freely Moving

scholarly journals Inferring Spike Trains From Local Field Potentials

2008 ◽  
Vol 99 (3) ◽  
pp. 1461-1476 ◽  
Author(s):  
Malte J. Rasch ◽  
Arthur Gretton ◽  
Yusuke Murayama ◽  
Wolfgang Maass ◽  
Nikos K. Logothetis
Keyword(s):  
Spontaneous Activity ◽  
Local Field ◽  
Local Field Potentials ◽  
Low Frequency ◽  
Spike Trains ◽  
Dorsal Lateral Geniculate Nucleus ◽  
Support Vector ◽  
Field Potentials ◽  
Data Set ◽  
Spiking Activity

We investigated whether it is possible to infer spike trains solely on the basis of the underlying local field potentials (LFPs). Using support vector machines and linear regression models, we found that in the primary visual cortex (V1) of monkeys, spikes can indeed be inferred from LFPs, at least with moderate success. Although there is a considerable degree of variation across electrodes, the low-frequency structure in spike trains (in the 100-ms range) can be inferred with reasonable accuracy, whereas exact spike positions are not reliably predicted. Two kinds of features of the LFP are exploited for prediction: the frequency power of bands in the high γ-range (40–90 Hz) and information contained in low-frequency oscillations (<10 Hz), where both phase and power modulations are informative. Information analysis revealed that both features code (mainly) independent aspects of the spike-to-LFP relationship, with the low-frequency LFP phase coding for temporally clustered spiking activity. Although both features and prediction quality are similar during seminatural movie stimuli and spontaneous activity, prediction performance during spontaneous activity degrades much more slowly with increasing electrode distance. The general trend of data obtained with anesthetized animals is qualitatively mirrored in that of a more limited data set recorded in V1 of non-anesthetized monkeys. In contrast to the cortical field potentials, thalamic LFPs (e.g., LFPs derived from recordings in the dorsal lateral geniculate nucleus) hold no useful information for predicting spiking activity.

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