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Decoding of Motor Imagery Involving Whole-body Coordination
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| Title: | Decoding of Motor Imagery Involving Whole-body Coordination |
| Authors: | Yang, Huixiang Browse this author | | Ogawa, Kenji Browse this author →KAKEN DB |
| Keywords: | Motor imagery | | Functional magnetic resonance imaging | | Multi-voxel pattern analysis | | Motor Imagery Questionnaire-Revised |
| Issue Date: | 1-Oct-2022 |
| Publisher: | Elsevier |
| Journal Title: | Neuroscience |
| Volume: | 501 |
| Start Page: | 131 |
| End Page: | 142 |
| Publisher DOI: | 10.1016/j.neuroscience.2022.07.029 |
| Abstract: | The present study investigated whether different types of motor imageries can be classified based on the location of the activation peaks or the multivariate pattern analysis (MVPA) of functional magnetic resonance imaging (fMRI) and compared the difference between visual motor imagery (VI) and kinesthetic motor imagery (KI). During fMRI scanning sessions, 25 participants imagined four movements included in the Motor Imagery Questionnaire-Revised (MIQ-R): knee lift, jump, arm movement, and waist bend. These four imagined movements were then classified based on the peak location or the patterns of fMRI signal values. We divided the participants into two groups based on whether they found it easier to generate VI (VI group, n = 10) or KI (KI group, n = 15). Our results show that the imagined movements can be classified using both the location of the activation peak and the spatial activation patterns within the sensorimotor cortex, and MVPA performs better than the activation peak classification. Furthermore, our result reveals that the KI group achieved a higher MVPA decoding accuracy within the left primary somatosensory cortex than the VI group, suggesting that the modality of motor imagery differently affects the classification performance in distinct brain regions. |
| Rights: | © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | | https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/90467 |
| Appears in Collections: | 文学院・文学研究院 (Graduate School of Humanities and Human Sciences / Faculty of Humanities and Human Sciences) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 小川 健二
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