[2P] C. Sensory and Motor Systems 2

[2P-354] Resting-state brain activity predicts target-independent fMRI-neurofeedback training aptitude

*Takashi Nakano^1,2, Masahiro Takamura³, Haruki Nishimura⁴, Maro Machizawa³, Naho Ichikawa³, Atsuo Yoshino⁵, Go Okada⁵, Yasumasa Okamoto^5,3, Shigeto Yamawaki³, Makiko Yamada⁴, Tetsuya Suhara⁴, Junichiro Yoshimoto² (1. School of Medicine, Fujita Health University, Toyoake, Japan, 2. Nara Institute of Science and Technology, Nara, Japan, 3. Center for Brain, Mind and KANSEI Res Sci, Hiroshima Univ, Hiroshima, Japan, 4. Natl Inst Quant Radiol Sci Tech, Chiba, Japan, 5. Graduate School of Biomedical and Health Science, Hiroshima University, Hiroshima, Japan)

Keywords:neurofeedback, machine learning, resting-state fMRI, functional connectivity