87 0

Which motor cortical region best predicts imagined movement?

Title
Which motor cortical region best predicts imagined movement?
Author
권규현
Keywords
fMRI; Multivarlate Bayes; Motor imagery; Motor execution; Motor cortex
Issue Date
2015-07
Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
Citation
NEUROIMAGE, v. 113, Page. 101-110
Abstract
In brain-computer interfacing (BCI), motor imagery is used to provide a gateway to an effector action or behavior. However, in contrast to the main functional role of the primary motor cortex (M1) in motor execution, the M1's involvement in motor imagery has been debated, while the roles of secondary motor areas such as the premotor cortex (PMC) and supplementary motor area (SMA) in motor imagery have been proposed. We examined which motor cortical region had the greatest predictive ability for imagined movement among the primary and secondary motor areas. For two modes of motor performance, executed movement and imagined movement, in 12 healthy subjects who performed two types of motor task, hand grasping and hand rotation, we used the multivariate Bayes method to compare predictive ability between the primary and secondary motor areas (M1, PMC, and SMA) contralateral to the moved hand. With the distributed representation of activation, executed movement was best predicted from the M1 while imagined movement from the SMA, among the three motor cortical regions, in both types of motor task. In addition, the most predictive information about the distinction between executed movement and imagined movement was contained in the M1. The greater predictive ability of the SMA for imagined movement suggests its functional role that could be applied to motor imagery-based BCI. (C) 2015 Elsevier Inc. All rights reserved.
URI
http://www.sciencedirect.com/science/article/pii/S1053811915002153http://hdl.handle.net/20.500.11754/26457
ISSN
1053-8119
DOI
10.1016/j.neuroimage.2015.03.033
Appears in Collections:
GRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT[S](기술경영전문대학원) > TECHNOLOGY MANAGEMENT(기술경영학과) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE