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Increased motor cortex excitability during motor imagery in brain-computer interface trained subjects

Overview of attention for article published in Frontiers in Computational Neuroscience, January 2013
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Title
Increased motor cortex excitability during motor imagery in brain-computer interface trained subjects
Published in
Frontiers in Computational Neuroscience, January 2013
DOI 10.3389/fncom.2013.00168
Pubmed ID
Authors

Olesya A. Mokienko, Alexander V. Chervyakov, Sofia N. Kulikova, Pavel D. Bobrov, Liudmila A. Chernikova, Alexander A. Frolov, Mikhail A. Piradov

Abstract

Background: Motor imagery (MI) is the mental performance of movement without muscle activity. It is generally accepted that MI and motor performance have similar physiological mechanisms. Purpose: To investigate the activity and excitability of cortical motor areas during MI in subjects who were previously trained with an MI-based brain-computer interface (BCI). Subjects and Methods: Eleven healthy volunteers without neurological impairments (mean age, 36 years; range: 24-68 years) were either trained with an MI-based BCI (BCI-trained, n = 5) or received no BCI training (n = 6, controls). Subjects imagined grasping in a blocked paradigm task with alternating rest and task periods. For evaluating the activity and excitability of cortical motor areas we used functional MRI and navigated transcranial magnetic stimulation (nTMS). Results: fMRI revealed activation in Brodmann areas 3 and 6, the cerebellum, and the thalamus during MI in all subjects. The primary motor cortex was activated only in BCI-trained subjects. The associative zones of activation were larger in non-trained subjects. During MI, motor evoked potentials recorded from two of the three targeted muscles were significantly higher only in BCI-trained subjects. The motor threshold decreased (median = 17%) during MI, which was also observed only in BCI-trained subjects. Conclusion: Previous BCI training increased motor cortex excitability during MI. These data may help to improve BCI applications, including rehabilitation of patients with cerebral palsy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 <1%
Germany 1 <1%
Switzerland 1 <1%
Unknown 126 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 24 19%
Student > Master 22 17%
Student > Ph. D. Student 15 12%
Researcher 12 9%
Student > Postgraduate 7 5%
Other 19 15%
Unknown 30 23%
Readers by discipline Count As %
Neuroscience 16 12%
Engineering 16 12%
Medicine and Dentistry 15 12%
Agricultural and Biological Sciences 12 9%
Nursing and Health Professions 10 8%
Other 22 17%
Unknown 38 29%
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 22 November 2013.
All research outputs
#18,354,532
of 22,731,677 outputs
Outputs from Frontiers in Computational Neuroscience
#1,050
of 1,336 outputs
Outputs of similar age
#218,085
of 280,774 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#92
of 131 outputs
Altmetric has tracked 22,731,677 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 1,336 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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