Abstract
Recent neurofeedback studies have revealed that mere self-induction of a specific brain activity state decoded from functional magnetic resonance imaging (fMRI) data suffices to cause plastic change in perceptual ability or cognitive state particular to that brain activity state. We tested such an induction effect by using frequency information of electroencephalography (EEG) data and further explored how the induction training affected EEG pattern itself in relation to behavioral changes. We found that repeated self-induction of an EEG power spectral pattern corresponding to motor preparation for gaining monetary reward caused shortening of reaction times to the motor task. Decoding of EEG data during the motor task after the induction training showed higher probability of appearance of the trained EEG spectral pattern during any task trials. These data reveal behavioral effectiveness of the EEG self-induction training, in parallel with overall enhancement effect of the trained brain activity state.
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Acknowledgments
This study was supported by KAKENHI Grant Numbers 15H05878 from MEXT and 26240037 from JSPS, Japan.
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Kimura, T., Okuda, J. (2018). Behavioral and Brain Activity Modulation Through Neurofeedback Training Using Electroencephalography. In: Delgado-GarcÃa, J., Pan, X., Sánchez-Campusano, R., Wang, R. (eds) Advances in Cognitive Neurodynamics (VI). Advances in Cognitive Neurodynamics. Springer, Singapore. https://doi.org/10.1007/978-981-10-8854-4_10
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DOI: https://doi.org/10.1007/978-981-10-8854-4_10
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