Improving Real-Time Brain State Classification of Motor Imagery Tasks During Neurofeedback Training

Improving Real-Time Brain State Classification of Motor Imagery Tasks During Neurofeedback Training

In this study, we investigated the effect of the dynamic changes in brain activation during neurofeedback training in the classification of the different brain states associated with the target tasks. We hypothesized that ongoing activation patterns could change during neurofeedback session due to l...

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Bibliographic Details
Main Authors: Epifanio Bagarinao, Akihiro Yoshida, Kazunori Terabe, Shohei Kato, Toshiharu Nakai
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Neuroscience
Subjects:
real-time fMRI
motor imagery
neurofeedback
support vector machines
incremental training
brain state
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2020.00623/full

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