Gamma frequencies as a predictor for the accomplishment of a motor task guided through the action observation network

2020 ◽  
pp. 1-10
Author(s):  
Toledo Felippe ◽  
Thaler Markus
Keyword(s):  
Motor Learning ◽  
Motor Performance ◽  
Motor Behavior ◽  
Low Cost ◽  
Action Observation ◽  
Motor Task ◽  
Gamma Oscillations ◽  
Therapeutic Interventions ◽  
Action Observation Network ◽  
Observation Network

BACKGROUND: Action observation describes a concept where the subsequent motor behavior of an individual can be modulated though observing an action. This occurs through the activation of neurons in the action observation network, acting on a variety of motor learning processes. This network has been proven highly useful in the rehabilitation of patients with acquired brain injury, placing “action observation” as one of the most effective techniques for motor recovery in physical neurorehabilitation. OBJECTIVE: The aim of this paper is to define an EEG marker for motor learning, guided through observation. METHODS: Healthy subjects (n = 41) participated voluntarily for this research. They were asked to repeat an unknown motor behavior, immediately after observing a video. During the observation, EEG raw signals where collected with a portable EEG and the results were later compared with success and fail on repeating the motor procedure. The comparison was then analyzed with the Mann-Whitney U test for non-parametrical data, with a confidence interval of 95%. RESULTS: A significant relation between motor performance and neural activity was found for Alpha (p = 0,0149) and Gamma (0,0005) oscillatory patterns. CONCLUSION: Gamma oscillations with frequencies between 41 and 49,75 Hz, seem to be an adequate EEG marker for motor performance guided through the action observation network. The technology used for this paper is easy to use, low-cost and presents valid measurements for the recommended oscillatory frequencies, implying a possible use on rehabilitation, by collecting data in real-time during therapeutic interventions and assessments.

scholarly journals A Role for the Action Observation Network in Apraxia After Stroke

2019 ◽  
Vol 13 ◽  
Author(s):  
Gloria Pizzamiglio ◽  
Zuo Zhang ◽  
James Kolasinski ◽  
Jane M. Riddoch ◽  
Richard E. Passingham ◽  
...  
Keyword(s):  
Action Observation ◽  
Action Observation Network ◽  
Observation Network

Interaction Between Finger Opposition Movements and Aftereffects of 1Hz-rTMS on Ipsilateral Motor Cortex

2009 ◽  
Vol 101 (3) ◽  
pp. 1690-1694 ◽  
Author(s):  
Laura Avanzino ◽  
Marco Bove ◽  
Andrea Tacchino ◽  
Carlo Trompetto ◽  
Carla Ogliastro ◽  
...  
Keyword(s):  
Motor Cortex ◽  
Motor Performance ◽  
Magnetic Stimulation ◽  
Voluntary Movement ◽  
Motor Behavior ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Motor Task ◽  
The Other ◽  
Experimental Conditions ◽  
Opposition Movements

One-hertz repetitive transcranial magnetic stimulation (1Hz-rTMS) over ipsilateral motor cortex is able to modify up to 30 min the motor performance of repetitive finger opposition movements paced with a metronome at 2 Hz. We investigated whether the long-lasting rTMS effect on motor behavior can be modulated by subsequent engagement of the contralateral sensorimotor system. Motor task was performed in different experimental conditions: immediately after rTMS, 30 min after rTMS, or when real rTMS was substituted with sham rTMS. Subjects performing the motor task immediately after rTMS showed modifications in motor behavior ≤30 min after rTMS. On the other hand, when real rTMS was substituted with sham stimulation or when subjects performed the motor task 30 min after the rTMS session, the effect was no longer present. These findings suggest that the combination of ipsilateral 1Hz-rTMS and voluntary movement is crucial to endure the effect of rTMS on the movement itself, probably acting on synaptic plasticity-like mechanism. This finding might provide some useful hints for neurorehabilitation protocols.

scholarly journals Individualized tracking of self-directed motor learning in group-housed mice performing a skilled lever positioning task in the home cage

2018 ◽  
Vol 119 (1) ◽  
pp. 337-346 ◽  
Author(s):  
Gergely Silasi ◽  
Jamie D. Boyd ◽  
Federico Bolanos ◽  
Jeff M. LeDue ◽  
Stephen H. Scott ◽  
...  
Keyword(s):  
Motor Learning ◽  
Radio Frequency Identification ◽  
Home Cage ◽  
Low Cost ◽  
Motor Task ◽  
Training Group ◽  
Cortical Reorganization ◽  
Raspberry Pi ◽  
Internet Connection ◽  
Cost System

Skilled forelimb function in mice is traditionally studied through behavioral paradigms that require extensive training by investigators and are limited by the number of trials individual animals are able to perform within a supervised session. We developed a skilled lever positioning task that mice can perform within their home cage. The task requires mice to use their forelimb to precisely hold a lever mounted on a rotary encoder within a rewarded position to dispense a water reward. A Raspberry Pi microcomputer is used to record lever position during trials and to control task parameters, thus making this low-footprint apparatus ideal for use within animal housing facilities. Custom Python software automatically increments task difficulty by requiring a longer hold duration, or a more accurate hold position, to dispense a reward. The performance of individual animals within group-housed mice is tracked through radio-frequency identification implants, and data stored on the microcomputer may be accessed remotely through an active internet connection. Mice continuously engage in the task for over 2.5 mo and perform ~500 trials/24 h. Mice required ~15,000 trials to learn to hold the lever within a 10° range for 1.5 s and were able to further refine movement accuracy by limiting their error to a 5° range within each trial. These results demonstrate the feasibility of autonomously training group-housed mice on a forelimb motor task. This paradigm may be used in the future to assess functional recovery after injury or cortical reorganization induced by self-directed motor learning. NEW & NOTEWORTHY We developed a low-cost system for fully autonomous training of group-housed mice on a forelimb motor task. We demonstrate the feasibility of tracking both end-point, as well as kinematic performance of individual mice, with each performing thousands of trials over 2.5 mo. The task is run and controlled by a Raspberry Pi microcomputer, which allows for cages to be monitored remotely through an active internet connection.

Activity in the action observation network enhances emotion regulation during observation of risk-taking: an fMRI study

2013 ◽  
Vol 35 (1) ◽  
pp. 22-28 ◽  
Author(s):  
Miyuki Tamura ◽  
Yoshiya Moriguchi ◽  
Shigekazu Higuchi ◽  
Akiko Hida ◽  
Minori Enomoto ◽  
...  
Keyword(s):  
Emotion Regulation ◽  
Risk Taking ◽  
Action Observation ◽  
Action Observation Network ◽  
Observation Network ◽  
Fmri Study

scholarly journals Development of the action observation network during early adolescence: a longitudinal study

2011 ◽  
Vol 7 (1) ◽  
pp. 64-80 ◽  
Author(s):  
Daniel J. Shaw ◽  
Marie-Helene Grosbras ◽  
Gabriel Leonard ◽  
G. Bruce Pike ◽  
Tomáš Paus
Keyword(s):  
Longitudinal Study ◽  
Early Adolescence ◽  
Action Observation ◽  
Action Observation Network ◽  
Observation Network

scholarly journals Object Presence Modulates Activity within the Somatosensory Component of the Action Observation Network

2011 ◽  
Vol 22 (3) ◽  
pp. 668-679 ◽  
Author(s):  
Luca Turella ◽  
Federico Tubaldi ◽  
Michael Erb ◽  
Wolfgang Grodd ◽  
Umberto Castiello
Keyword(s):  
Action Observation ◽  
Action Observation Network ◽  
Observation Network

scholarly journals Largely shared neural codes for biological and nonbiological observed movements but not for executed actions in monkey premotor areas

2021 ◽  
Author(s):  
Davide Albertini ◽  
Marco Lanzilotto ◽  
Monica Maranesi ◽  
Luca Bonini
Keyword(s):  
Mirror Neurons ◽  
Action Observation ◽  
Premotor Cortex ◽  
Brain Regions ◽  
Large Network ◽  
Neuronal Responses ◽  
Neural Codes ◽  
Action Observation Network ◽  
Observation Network ◽  
Premotor Areas

The neural processing of others' observed actions recruits a large network of brain regions (the action observation network, AON), in which frontal motor areas are thought to play a crucial role. Since the discovery of mirror neurons (MNs) in the ventral premotor cortex, it has been assumed that their activation was conditional upon the presentation of biological rather than nonbiological motion stimuli, supporting a form of direct visuomotor matching. Nonetheless, nonbiological observed movements have rarely been used as control stimuli to evaluate visual specificity, thereby leaving the issue of similarity among neural codes for executed actions and biological or nonbiological observed movements unresolved. Here, we addressed this issue by recording from two nodes of the AON that are attracting increasing interest, namely the ventro-rostral part of the dorsal premotor area F2 and the mesial pre-supplementary motor area F6 of macaques while they 1) executed a reaching-grasping task, 2) observed an experimenter performing the task, and 3) observed a nonbiological effector moving in the same context. Our findings revealed stronger neuronal responses to the observation of biological than nonbiological movement, but biological and nonbiological visual stimuli produced highly similar neural dynamics and relied on largely shared neural codes, which in turn remarkably differed from those associated with executed actions. These results indicate that, in highly familiar contexts, visuo-motor remapping processes in premotor areas hosting MNs are more complex and flexible than predicted by a direct visuomotor matching hypothesis.

scholarly journals Cerebellar Engagement in an Action Observation Network

2009 ◽  
Vol 20 (2) ◽  
pp. 486-491 ◽  
Author(s):  
A. A. Sokolov ◽  
A. Gharabaghi ◽  
M. S. Tatagiba ◽  
M. Pavlova
Keyword(s):  
Action Observation ◽  
Action Observation Network ◽  
Observation Network

scholarly journals Functional Organization of the Action Observation Network in Autism: A Graph Theory Approach

PLoS ONE ◽  
2015 ◽  
Vol 10 (8) ◽  
pp. e0137020 ◽  
Author(s):  
Kaat Alaerts ◽  
Franca Geerlings ◽  
Lynn Herremans ◽  
Stephan P. Swinnen ◽  
Judith Verhoeven ◽  
...  
Keyword(s):  
Graph Theory ◽  
Functional Organization ◽  
Action Observation ◽  
Theory Approach ◽  
Action Observation Network ◽  
Observation Network
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