scholarly journals Primary Motor Cortex Activation during Action Observation of Tasks at Different Video Speeds Is Dependent on Movement Task and Muscle Properties

Author(s):  
Takefumi Moriuchi ◽  
Daiki Matsuda ◽  
Jirou Nakamura ◽  
Takashi Matsuo ◽  
Akira Nakashima ◽  
...  
2020 ◽  
Vol 238 (7-8) ◽  
pp. 1735-1744 ◽  
Author(s):  
Andreea Loredana Cretu ◽  
Kathy L. Ruddy ◽  
Alain Post ◽  
Nicole Wenderoth

2020 ◽  
Vol 14 ◽  
Author(s):  
Brittany Moore ◽  
Sheng Khang ◽  
Joseph Thachil Francis

Reward modulation is represented in the motor cortex (M1) and could be used to implement more accurate decoding models to improve brain-computer interfaces (BCIs; Zhao et al., 2018). Analyzing trial-to-trial noise-correlations between neural units in the presence of rewarding (R) and non-rewarding (NR) stimuli adds to our understanding of cortical network dynamics. We utilized Pearson’s correlation coefficient to measure shared variability between simultaneously recorded units (32–112) and found significantly higher noise-correlation and positive correlation between the populations’ signal- and noise-correlation during NR trials as compared to R trials. This pattern is evident in data from two non-human primates (NHPs) during single-target center out reaching tasks, both manual and action observation versions. We conducted a mean matched noise-correlation analysis to decouple known interactions between event-triggered firing rate changes and neural correlations. Isolated reward discriminatory units demonstrated stronger correlational changes than units unresponsive to reward firing rate modulation, however, the qualitative response was similar, indicating correlational changes within the network as a whole can serve as another information channel to be exploited by BCIs that track the underlying cortical state, such as reward expectation, or attentional modulation. Reward expectation and attention in return can be utilized with reinforcement learning (RL) towards autonomous BCI updating.


2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Jack J. Q. Zhang ◽  
Kenneth N. K. Fong ◽  
Nandana Welage ◽  
Karen P. Y. Liu

Objective. To evaluate the concurrent and training effects of action observation (AO) and action execution with mirror visual feedback (MVF) on the activation of the mirror neuron system (MNS) and its relationship with the activation of the motor cortex in stroke individuals. Methods. A literature search using CINAHL, PubMed, PsycINFO, Medline, Web of Science, and SCOPUS to find relevant studies was performed. Results. A total of 19 articles were included. Two functional magnetic resonance imaging (fMRI) studies reported that MVF could activate the ipsilesional primary motor cortex as well as the MNS in stroke individuals, whereas two other fMRI studies found that the MNS was not activated by MVF in stroke individuals. Two clinical trials reported that long-term action execution with MVF induced a shift of activation toward the ipsilesional hemisphere. Five fMRI studies showed that AO activated the MNS, of which, three found the activation of movement-related areas. Five electroencephalography (EEG) studies demonstrated that AO or MVF enhanced mu suppression over the sensorimotor cortex. Conclusions. MVF may contribute to stroke recovery by revising the interhemispheric imbalance caused by stroke due to the activation of the MNS. AO may also promote motor relearning in stroke individuals by activating the MNS and motor cortex.


PLoS ONE ◽  
2012 ◽  
Vol 7 (6) ◽  
pp. e38754 ◽  
Author(s):  
Jean-François Lepage ◽  
Olivier Morin-Moncet ◽  
Vincent Beaulé ◽  
Louis de Beaumont ◽  
Francois Champoux ◽  
...  

2015 ◽  
Vol 600 ◽  
pp. 1-5 ◽  
Author(s):  
Megumi Tanaka ◽  
Shinji Kubota ◽  
Yusuke Onmyoji ◽  
Masato Hirano ◽  
Kazumasa Uehara ◽  
...  

2020 ◽  
Vol 131 (4) ◽  
pp. e71-e72
Author(s):  
A. Bisio ◽  
L. Avanzino ◽  
M. Biggio ◽  
P. Canepa ◽  
P. Ruggeri ◽  
...  

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