投稿日: 2020/06/25 7:07:32
小型ヒューマノイドを応用した神経リハビリの手法提案の論文が掲載されました。
Bagarinao E, Yoshida A, Terabe K, Kato S, Nakai T, Improving real-time brain state classification of motor imagery tasks during neurofeedback training, Front. Neurosci 14, Article 623, 1-17, 2020, doi: 10.3389/fnins.2020.00623
Our results confirmed our hypothesis that neurofeedback training could be associated with dynamic changes in brain activation characterized by an initially more widespread brain activation followed by a more focused and localized activation pattern. By continuously updating the trained classifiers after each feedback run, significant improvement in accurately classifying the different brain states associated with the target motor imagery tasks was achieved. These findings suggest the importance of taking into account brain activation changes during neurofeedback in order to provide more reliable and accurate feedback information to the participants, which is critical for an effective neurofeedback application.