Causal interaction following the alteration of target region activation during motor imagery training using real-time fMRI
Motor imagery training is an effective approach for motor skill learning and motor function rehabilitation. As a novel method of motor imagery training, real-time fMRI (rtfMRI) enables individuals to acquire self-control of localized brain activation, achieving desired changes in behavior. The regul...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2013-12-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00866/full |
| _version_ | 1828869230347419648 |
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| author | Xiaojie eZhao Sutao eSong Qing eYe Jia eGuo Li eYao Li eYao |
| author_facet | Xiaojie eZhao Sutao eSong Qing eYe Jia eGuo Li eYao Li eYao |
| author_sort | Xiaojie eZhao |
| collection | DOAJ |
| description | Motor imagery training is an effective approach for motor skill learning and motor function rehabilitation. As a novel method of motor imagery training, real-time fMRI (rtfMRI) enables individuals to acquire self-control of localized brain activation, achieving desired changes in behavior. The regulation of target region activation by rtfMRI often alters the activation of related brain regions. However, the interaction between the target region and these related regions is unclear. The Granger causality model (GCM) is a data-driven method that can explore the causal interaction between brain regions. In this study, we employed rtfMRI to train subjects to regulate the activation of the ipsilateral dorsal premotor area (dPMA) during motor imagery training, and we calculated the causal interaction of the dPMA with other motor-related regions based on the GCM. The results demonstrated that as the activity of the dPMA changed during rtfMRI training, the interaction of the target region with other related regions became significantly altered, and behavioral performance was improved after training. The altered interaction primarily exhibited as an increased unidirectional interaction from the dPMA to the other regions. These findings support the dominant role of the dPMA in motor skill learning via rtfMRI training and may indicate how activation of the target region interacts with the activation of other related regions. |
| first_indexed | 2024-12-13T05:45:20Z |
| format | Article |
| id | doaj.art-8e2e5d0a8ba94fa492a9becbd3497038 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-12-13T05:45:20Z |
| publishDate | 2013-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-8e2e5d0a8ba94fa492a9becbd34970382022-12-21T23:57:40ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612013-12-01710.3389/fnhum.2013.0086665551Causal interaction following the alteration of target region activation during motor imagery training using real-time fMRIXiaojie eZhao0Sutao eSong1Qing eYe2Jia eGuo3Li eYao4Li eYao5Beijing Normal UniversityJinan UniversityBeijing Normal UniversityBeijing Normal UniversityBeijing Normal UniversityBeijing Normal UniversityMotor imagery training is an effective approach for motor skill learning and motor function rehabilitation. As a novel method of motor imagery training, real-time fMRI (rtfMRI) enables individuals to acquire self-control of localized brain activation, achieving desired changes in behavior. The regulation of target region activation by rtfMRI often alters the activation of related brain regions. However, the interaction between the target region and these related regions is unclear. The Granger causality model (GCM) is a data-driven method that can explore the causal interaction between brain regions. In this study, we employed rtfMRI to train subjects to regulate the activation of the ipsilateral dorsal premotor area (dPMA) during motor imagery training, and we calculated the causal interaction of the dPMA with other motor-related regions based on the GCM. The results demonstrated that as the activity of the dPMA changed during rtfMRI training, the interaction of the target region with other related regions became significantly altered, and behavioral performance was improved after training. The altered interaction primarily exhibited as an increased unidirectional interaction from the dPMA to the other regions. These findings support the dominant role of the dPMA in motor skill learning via rtfMRI training and may indicate how activation of the target region interacts with the activation of other related regions.http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00866/fulltrainingInteractionMotor ImageryGranger causalityreal-time fMRI |
| spellingShingle | Xiaojie eZhao Sutao eSong Qing eYe Jia eGuo Li eYao Li eYao Causal interaction following the alteration of target region activation during motor imagery training using real-time fMRI Frontiers in Human Neuroscience training Interaction Motor Imagery Granger causality real-time fMRI |
| title | Causal interaction following the alteration of target region activation during motor imagery training using real-time fMRI |
| title_full | Causal interaction following the alteration of target region activation during motor imagery training using real-time fMRI |
| title_fullStr | Causal interaction following the alteration of target region activation during motor imagery training using real-time fMRI |
| title_full_unstemmed | Causal interaction following the alteration of target region activation during motor imagery training using real-time fMRI |
| title_short | Causal interaction following the alteration of target region activation during motor imagery training using real-time fMRI |
| title_sort | causal interaction following the alteration of target region activation during motor imagery training using real time fmri |
| topic | training Interaction Motor Imagery Granger causality real-time fMRI |
| url | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00866/full |
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