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Linking motor-related brain potentials and velocity profiles in multi-joint arm reaching movements

Overview of attention for article published in Frontiers in Human Neuroscience, April 2014
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Title
Linking motor-related brain potentials and velocity profiles in multi-joint arm reaching movements
Published in
Frontiers in Human Neuroscience, April 2014
DOI 10.3389/fnhum.2014.00271
Pubmed ID
Authors

Julià L. Amengual, Josep Marco-Pallarés, Carles Grau, Thomas F. Münte, Antoni Rodríguez-Fornells

Abstract

The study of the movement related brain potentials (MRPBs) needs accurate technical approaches to disentangle the specific patterns of bran activity during the preparation and execution of movements. During the last forty years, synchronizing the electromyographic activation (EMG) of the muscle with electrophysiological recordings (EEG) has been commonly ussed for these purposes. However, new clinical approaches in the study of motor diseases and rehabilitation suggest the demand of new paradigms that might go further into the study of the brain activity associated with the kinematics of movements. As a response to this call, we have used a 3-D hand-tracking system with the aim to record continuously the position of an ultrasonic sender attached to the hand during the performance of multi-joint self-paced movements. We synchronized time-series of position and velocity of the sender with the EEG recordings, obtaining specific patterns of brain activity as a function of the fluctuations of the kinematics during natural movement performance. Additionally, the distribution of the brain activity during the preparation and execution phases of movements was similar that reported previously using the EMG, suggesting the validity of our technique. We claim that this paradigm could be usable in patients because of its simplicity and the potential knowledge that can be extracted from clinical protocols.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Switzerland 1 2%
United Kingdom 1 2%
Canada 1 2%
Singapore 1 2%
Taiwan 1 2%
Unknown 50 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 32%
Researcher 6 11%
Student > Master 5 9%
Professor 4 7%
Student > Bachelor 4 7%
Other 13 23%
Unknown 6 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 16%
Medicine and Dentistry 8 14%
Engineering 7 13%
Psychology 6 11%
Computer Science 6 11%
Other 9 16%
Unknown 11 20%
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 23 October 2014.
All research outputs
#20,241,019
of 22,768,097 outputs
Outputs from Frontiers in Human Neuroscience
#6,531
of 7,139 outputs
Outputs of similar age
#193,586
of 227,533 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#226
of 230 outputs
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