S7.2 Single unit activity, multi unit activity and local field potential in macaque's motor cortex are modulated by median nerve stimulation

2011 ◽  
Vol 122 ◽  
pp. S18-S19
Author(s):  
O. Papazachariadis ◽  
L. Cappiello ◽  
K. Carbè ◽  
S. Ferraina
2011 ◽  
Vol 21 (2) ◽  
pp. 165-172 ◽  
Author(s):  
Shaomin Zhang ◽  
Bo Jiang ◽  
Junming Zhu ◽  
Qiaosheng Zhang ◽  
Weidong Chen ◽  
...  

2015 ◽  
Vol 114 (3) ◽  
pp. 1500-1512 ◽  
Author(s):  
Sagi Perel ◽  
Patrick T. Sadtler ◽  
Emily R. Oby ◽  
Stephen I. Ryu ◽  
Elizabeth C. Tyler-Kabara ◽  
...  

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.


2013 ◽  
Vol 133 (8) ◽  
pp. 1493-1500 ◽  
Author(s):  
Ryuji Kano ◽  
Kenichi Usami ◽  
Takahiro Noda ◽  
Tomoyo I. Shiramatsu ◽  
Ryohei Kanzaki ◽  
...  

2017 ◽  
Vol 20 (5) ◽  
pp. 471-477 ◽  
Author(s):  
Arun Chockalingam ◽  
Abigail Belasen ◽  
Nita Chen ◽  
Adolfo Ramirez-Zamora ◽  
Youngwon Youn ◽  
...  

2018 ◽  
Vol 12 ◽  
Author(s):  
Gonzalo Martín-Vázquez ◽  
Toshitake Asabuki ◽  
Yoshikazu Isomura ◽  
Tomoki Fukai

2019 ◽  
Author(s):  
David T. Bundy ◽  
David J Guggenmos ◽  
Maxwell D Murphy ◽  
Randolph J. Nudo

AbstractFollowing injury to motor cortex, reorganization occurs throughout spared brain regions and is thought to underlie motor recovery. Unfortunately, the standard neurophysiological and neuroanatomical measures of post-lesion plasticity are only indirectly related to observed changes in motor execution. While substantial task-related neural activity has been observed during motor tasks in rodent primary motor cortex and premotor cortex, the long-term stability of these responses in healthy rats is uncertain, limiting the interpretability of longitudinal changes in the specific patterns of neural activity during motor recovery following injury. This study examined the stability of task-related neural activity associated with execution of reaching movements in healthy rodents. Rats were trained to perform a novel reaching task combining a ‘gross’ lever press and a ‘fine’ pellet retrieval. In each animal, two chronic microelectrode arrays were implanted in motor cortex spanning the caudal forelimb area (rodent primary motor cortex) and the rostral forelimb area (rodent premotor cortex). We recorded multiunit spiking and local field potential activity from 10 days to 7-10 weeks post-implantation to characterize the patterns of neural activity observed during each task component and analyzed the consistency of channel-specific task-related neural activity. Task-related changes in neural activity were observed on the majority of channels. While the task-related changes in multi-unit spiking and local field potential spectral power were consistent over several weeks, spectral power changes were more stable, despite the trade-off of decreased spatial and temporal resolution. These results show that rodent primary and premotor cortex are both involved in reaching movements with stable patterns of task-related activity across time, establishing the relevance of the rodent for future studies designed to examine changes in task-related neural activity during recovery from focal cortical lesions.


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