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

Dynamics of spontaneous local field potentials in the anterior claustrum of freely moving rats

2017 ◽  
Vol 1677 ◽  
pp. 101-117 ◽  
Author(s):  
Maciej M. Jankowski ◽  
Md Nurul Islam ◽  
Shane M. O'Mara
Keyword(s):  
Local Field ◽  
Local Field Potentials ◽  
Field Potentials ◽  
Freely Moving Rats ◽  
Freely Moving

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 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.

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
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