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Multimodal functional imaging of motor imagery using a novel paradigm

Overview of attention for article published in NeuroImage, January 2013
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Title
Multimodal functional imaging of motor imagery using a novel paradigm
Published in
NeuroImage, January 2013
DOI 10.1016/j.neuroimage.2013.01.001
Pubmed ID
Authors

Hana Burianová, Lars Marstaller, Paul Sowman, Graciela Tesan, Anina N. Rich, Mark Williams, Greg Savage, Blake W. Johnson

Abstract

Neuroimaging studies have shown that the neural mechanisms of motor imagery (MI) overlap substantially with the mechanisms of motor execution (ME). Surprisingly, however, the role of several regions of the motor circuitry in MI remains controversial, a variability that may be due to differences in neuroimaging techniques, MI training, instruction types, or tasks used to evoke MI. The objectives of this study were twofold: (i) to design a novel task that reliably invokes MI, provides a reliable behavioral measure of MI performance, and is transferable across imaging modalities; and (ii) to measure the common and differential activations for MI and ME with functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG). We present a task in which it is difficult to give accurate responses without the use of either motor execution or motor imagery. The behavioral results demonstrate that participants performed similarly on the task when they imagined vs. executed movements and this performance did not change over time. The fMRI results show a spatial overlap of MI and ME in a number of motor and premotor areas, sensory cortices, cerebellum, inferior frontal gyrus, and ventrolateral thalamus. MI uniquely engaged bilateral occipital areas, left parahippocampus, and other temporal and frontal areas, whereas ME yielded unique activity in motor and sensory areas, cerebellum, precuneus, and putamen. The MEG results show a robust event-related beta band desynchronization in the proximity of primary motor and premotor cortices during both ME and MI. Together, these results further elucidate the neural circuitry of MI and show that our task robustly and reliably invokes motor imagery, and thus may prove useful for interrogating the functional status of the motor circuitry in patients with motor disorders.

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Mendeley readers

The data shown below were compiled from readership statistics for 167 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 1%
United Kingdom 2 1%
Germany 1 <1%
Malaysia 1 <1%
Cuba 1 <1%
Belgium 1 <1%
Canada 1 <1%
Unknown 158 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 19%
Student > Ph. D. Student 28 17%
Researcher 21 13%
Student > Bachelor 15 9%
Student > Doctoral Student 12 7%
Other 31 19%
Unknown 28 17%
Readers by discipline Count As %
Neuroscience 28 17%
Psychology 28 17%
Engineering 21 13%
Medicine and Dentistry 15 9%
Agricultural and Biological Sciences 10 6%
Other 29 17%
Unknown 36 22%
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 17 January 2013.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from NeuroImage
#10,823
of 12,204 outputs
Outputs of similar age
#229,908
of 290,548 outputs
Outputs of similar age from NeuroImage
#125
of 148 outputs
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