2015年
Resting-state brain activity in the motor cortex reflects task-induced activity: A multi-voxel pattern analysis
Proc. IEEE Engineering in Medicine and Biology Society
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- 巻
- 2015
- 号
- 開始ページ
- 4290
- 終了ページ
- 4293
- 記述言語
- 英語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/EMBC.2015.7319343
- 出版者・発行元
- IEEE
It has been suggested that resting-state brain activity reflects task-induced brain activity patterns. In this study, we examined whether neural representations of specific movements can be observed in the resting-state brain activity patterns of motor areas. First, we defined two regions of interest (ROIs) to examine brain activity associated with two different behavioral tasks. Using multi-voxel pattern analysis with regularized logistic regression, we designed a decoder to detect voxel-level neural representations corresponding to the tasks in each ROI. Next, we applied the decoder to resting-state brain activity. We found that the decoder discriminated resting-state neural activity with accuracy comparable to that associated with task-induced neural activity. The distribution of learned weighted parameters for each ROI was similar for resting-state and task-induced activities. Large weighted parameters were mainly located on conjunctive areas. Moreover, the accuracy of detection was higher than that for a decoder whose weights were randomly shuffled, indicating that the resting-state brain activity includes multi-voxel patterns similar to the neural representation for the tasks. Therefore, these results suggest that the neural representation of resting-state brain activity is more finely organized and more complex than conventionally considered.
- リンク情報
- ID情報
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- DOI : 10.1109/EMBC.2015.7319343
- ISSN : 1557-170X
- Web of Science ID : WOS:000371717204143