Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training
Takashi Nakano, Masahiro Takamura, Haruki Nishimura, Maro G. Machizawa, Naho Ichikawa, Atsuo Yoshino, Go Okada, Yasumasa Okamoto, Shigeto Yamawaki, Makiko Yamada, Tetsuya Suhara, Junichiro Yoshimoto
This study identifies resting-state brain connectivity patterns that predict individual aptitude in fMRI-neurofeedback training, independent of targeted brain regions.
NeuroImage · Nov 17, 2021Peer-reviewedNeuroscience