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Nakano T, Takamura M, Nishimura H, Machizawa MG, Ichikawa N, Yoshino A, Okada G, Okamoto Y, Yamawaki S, Yamada M, Suhara T, Yoshimoto J. Resting-state brain activity can predict target-independent aptitude in fMRI-neurofeedback training. Neuroimage 2021; 245:118733. [PMID: 34800664 DOI: 10.1016/j.neuroimage.2021.118733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 10/27/2021] [Accepted: 11/13/2021] [Indexed: 11/19/2022] Open
Abstract
Neurofeedback (NF) aptitude, which refers to an individual's ability to change brain activity through NF training, has been reported to vary significantly from person to person. The prediction of individual NF aptitudes is critical in clinical applications to screen patients suitable for NF treatment. In the present study, we extracted the resting-state functional brain connectivity (FC) markers of NF aptitude, independent of NF-targeting brain regions. We combined the data from fMRI-NF studies targeting four different brain regions at two independent sites (obtained from 59 healthy adults and six patients with major depressive disorder) to collect resting-state fMRI data associated with aptitude scores in subsequent fMRI-NF training. We then trained the multiple regression models to predict the individual NF aptitude scores from the resting-state fMRI data using a discovery dataset from one site and identified six resting-state FCs that predicted NF aptitude. Subsequently, the reproducibility of the prediction model was validated using independent test data from another site. The identified FC model revealed that the posterior cingulate cortex was the functional hub among the brain regions and formed predictive resting-state FCs, suggesting that NF aptitude may be involved in the attentional mode-orientation modulation system's characteristics in task-free resting-state brain activity.
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Affiliation(s)
- Takashi Nakano
- Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara 630-0192, Japan; School of Medicine, Fujita Health University, Toyoake 470-1192, Japan
| | - Masahiro Takamura
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima 734-8551, Japan
| | - Haruki Nishimura
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; Department of Functional Brain Imaging, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Maro G Machizawa
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima 734-8551, Japan; Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; Department of Functional Brain Imaging, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Naho Ichikawa
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima 734-8551, Japan
| | - Atsuo Yoshino
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima 734-8551, Japan
| | - Go Okada
- Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima 734-8551, Japan
| | - Yasumasa Okamoto
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima 734-8551, Japan; Department of Psychiatry and Neurosciences, Hiroshima University, Hiroshima 734-8551, Japan
| | - Shigeto Yamawaki
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima 734-8551, Japan
| | - Makiko Yamada
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan; Department of Functional Brain Imaging, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Tetsuya Suhara
- Institute for Quantum Life Science, National Institutes for Quantum Science and Technology, Chiba 263-8555, Japan
| | - Junichiro Yoshimoto
- Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara 630-0192, Japan.
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