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Semantics in the Motor System: Motor-Cortical Beta Oscillations Reflect Semantic Knowledge of End-Postures for Object Use

Overview of attention for article published in Frontiers in Human Neuroscience, January 2010
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Title
Semantics in the Motor System: Motor-Cortical Beta Oscillations Reflect Semantic Knowledge of End-Postures for Object Use
Published in
Frontiers in Human Neuroscience, January 2010
DOI 10.3389/neuro.09.008.2010
Pubmed ID
Authors

Michiel van Elk, Hein T. van Schie, Ruby van den Heuvel, Harold Bekkering

Abstract

In the present EEG study we investigated whether semantic knowledge for object use is represented in motor-related brain areas. Subjects were required to perform actions with everyday objects and to maintain either a meaningful or a meaningless end posture with the object. Analysis of the EEG data focused on the beta-frequency band, as previous studies have indicated that the maintenance of a posture is reflected in stronger beta-oscillations. Time frequency analysis indicated that the execution of actions resulting in a meaningless compared to a meaningful end posture was accompanied by a stronger beta-desynchronization towards the end of the movement and a stronger subsequent beta-rebound after posture-onset. The effect in the beta-frequency band was localized to premotor, parietal and medial frontal areas and could not be attributed to differences in timing or movement complexity between meaningful and meaningless actions. Together these findings directly show that the motor system is differentially activated during the execution and maintenance of semantically correct or incorrect end postures. This suggests that semantic object knowledge is indeed represented in motor-related brain areas, organized around specific end postures associated with the use of objects.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 4%
United States 2 3%
Netherlands 1 1%
Belgium 1 1%
Canada 1 1%
Unknown 60 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 32%
Researcher 18 26%
Student > Master 6 9%
Student > Bachelor 4 6%
Student > Postgraduate 3 4%
Other 9 13%
Unknown 6 9%
Readers by discipline Count As %
Psychology 24 35%
Neuroscience 17 25%
Computer Science 4 6%
Agricultural and Biological Sciences 3 4%
Medicine and Dentistry 3 4%
Other 6 9%
Unknown 11 16%
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 16 August 2011.
All research outputs
#18,810,584
of 23,312,088 outputs
Outputs from Frontiers in Human Neuroscience
#6,140
of 7,264 outputs
Outputs of similar age
#152,391
of 166,023 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#53
of 69 outputs
Altmetric has tracked 23,312,088 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 7,264 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 69 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.