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Changing Artificial Playback Speed and Real Movement Velocity Do Not Differentially Influence the Excitability of Primary Motor Cortex during Observation of a Repetitive Finger Movement

Overview of attention for article published in Frontiers in Human Neuroscience, November 2017
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Title
Changing Artificial Playback Speed and Real Movement Velocity Do Not Differentially Influence the Excitability of Primary Motor Cortex during Observation of a Repetitive Finger Movement
Published in
Frontiers in Human Neuroscience, November 2017
DOI 10.3389/fnhum.2017.00546
Pubmed ID
Authors

Takefumi Moriuchi, Daiki Matsuda, Jirou Nakamura, Takashi Matsuo, Akira Nakashima, Wataru Mitsunaga, Takashi Hasegawa, Yuta Ikio, Masahiko Koyanagi, Toshio Higashi

Abstract

Action observation studies have investigated whether changing the speed of the observed movement affects the action observation network. There are two types of speed-changing conditions; one involves "changes in actual movement velocity," and the other is "manipulation of video speed." Previous studies have investigated the effects of these conditions separately, but to date, no study has directly investigated the differences between the effects of these conditions. In the "movement velocity condition," increased velocity is associated with increased muscle activity; however, this change of muscle activities is not shown in the "video speed condition." Therefore, a difference in the results obtained under these conditions could be considered to reflect a difference in muscle activity of actor in the video. The aim of the present study was to investigate the effects of different speed-changing conditions and spontaneous movement tempo (SMT) on the excitability of primary motor cortex (M1) during action observation, as assessed by motor-evoked potentials (MEPs) amplitudes induced by transcranial magnetic stimulation (TMS). A total of 29 healthy subjects observed a video clip of a repetitive index or little finger abduction movement under seven different speed conditions. The video clip in the movement velocity condition showed repetitive finger abduction movements made in time with an auditory metronome, at frequencies of 0.5, 1, 2, and 3 Hz. In the video speed condition, playback of the 1-Hz movement velocity condition video clip was modified to show movement frequencies of 0.5, 2, or 3 Hz (Hz-Fake). TMS was applied at the time of maximal abduction and MEPs were recorded from two right-hand muscles. There were no differences in M1 excitability between the movement velocity and video speed conditions. Moreover, M1 excitability did not vary across the speed conditions for either presentation condition. Our findings suggest that changing playback speed and actual differences in movement velocity do not differentially influence M1 excitability during observation of a simple action task, such as repetitive finger movement, and that it is not affected by SMT. In simple and meaningless observational task, people might not be able to recognize the difference in muscle activity of actor in the video.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 22%
Lecturer 2 5%
Professor 2 5%
Researcher 2 5%
Student > Ph. D. Student 2 5%
Other 3 8%
Unknown 18 49%
Readers by discipline Count As %
Nursing and Health Professions 6 16%
Neuroscience 6 16%
Medicine and Dentistry 2 5%
Sports and Recreations 2 5%
Computer Science 1 3%
Other 2 5%
Unknown 18 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 November 2017.
All research outputs
#18,575,277
of 23,007,053 outputs
Outputs from Frontiers in Human Neuroscience
#6,094
of 7,190 outputs
Outputs of similar age
#249,679
of 325,982 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#131
of 150 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,190 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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We're also able to compare this research output to 150 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.