A Review of Neurofeedback Training for Improving Sport Performance From the Perspective of User Experience
Neurofeedback training (NFT) is a non-invasive, safe, and effective method of regulating the nerve state of the brain. Presently, NFT is widely used to prevent and rehabilitate brain diseases and improve an individual’s external performance. Among the various NFT methods, NFT to improve sport perfor...
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| Veröffentlicht in: | Frontiers in neuroscience 2021-05, Vol.15, p.638369-638369 |
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| container_title | Frontiers in neuroscience |
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| creator | Gong, Anmin Gu, Feng Nan, Wenya Qu, Yi Jiang, Changhao Fu, Yunfa |
| description | Neurofeedback training (NFT) is a non-invasive, safe, and effective method of regulating the nerve state of the brain. Presently, NFT is widely used to prevent and rehabilitate brain diseases and improve an individual’s external performance. Among the various NFT methods, NFT to improve sport performance (SP-NFT) has become an important research and application focus worldwide. Several studies have shown that the method is effective in improving brain function and motor control performance. However, appropriate reviews and prospective directions for this technology are lacking. This paper proposes an SP-NFT classification method based on user experience, classifies and discusses various SP-NFT research schemes reported in the existing literature, and reviews the technical principles, application scenarios, and usage characteristics of different SP-NFT schemes. Several key issues in SP-NFT development, including the factors involved in neural mechanisms, scheme selection, learning basis, and experimental implementation, are discussed. Finally, directions for the future development of SP-NFT, including SP-NFT based on other electroencephalograph characteristics, SP-NFT integrated with other technologies, and SP-NFT commercialization, are suggested. These discussions are expected to provide some valuable ideas to researchers in related fields. |
| doi_str_mv | 10.3389/fnins.2021.638369 |
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Presently, NFT is widely used to prevent and rehabilitate brain diseases and improve an individual’s external performance. Among the various NFT methods, NFT to improve sport performance (SP-NFT) has become an important research and application focus worldwide. Several studies have shown that the method is effective in improving brain function and motor control performance. However, appropriate reviews and prospective directions for this technology are lacking. This paper proposes an SP-NFT classification method based on user experience, classifies and discusses various SP-NFT research schemes reported in the existing literature, and reviews the technical principles, application scenarios, and usage characteristics of different SP-NFT schemes. Several key issues in SP-NFT development, including the factors involved in neural mechanisms, scheme selection, learning basis, and experimental implementation, are discussed. Finally, directions for the future development of SP-NFT, including SP-NFT based on other electroencephalograph characteristics, SP-NFT integrated with other technologies, and SP-NFT commercialization, are suggested. 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Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2021 Gong, Gu, Nan, Qu, Jiang and Fu. 2021 Gong, Gu, Nan, Qu, Jiang and Fu</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-152d2f5d82fc41ae30e1d782d9bcc951b791a8944364b0a7174355fdddfef5cb3</citedby><cites>FETCH-LOGICAL-c470t-152d2f5d82fc41ae30e1d782d9bcc951b791a8944364b0a7174355fdddfef5cb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195869/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8195869/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,2096,27905,27906,53772,53774</link.rule.ids></links><search><creatorcontrib>Gong, Anmin</creatorcontrib><creatorcontrib>Gu, Feng</creatorcontrib><creatorcontrib>Nan, Wenya</creatorcontrib><creatorcontrib>Qu, Yi</creatorcontrib><creatorcontrib>Jiang, Changhao</creatorcontrib><creatorcontrib>Fu, Yunfa</creatorcontrib><title>A Review of Neurofeedback Training for Improving Sport Performance From the Perspective of User Experience</title><title>Frontiers in neuroscience</title><description>Neurofeedback training (NFT) is a non-invasive, safe, and effective method of regulating the nerve state of the brain. 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Presently, NFT is widely used to prevent and rehabilitate brain diseases and improve an individual’s external performance. Among the various NFT methods, NFT to improve sport performance (SP-NFT) has become an important research and application focus worldwide. Several studies have shown that the method is effective in improving brain function and motor control performance. However, appropriate reviews and prospective directions for this technology are lacking. This paper proposes an SP-NFT classification method based on user experience, classifies and discusses various SP-NFT research schemes reported in the existing literature, and reviews the technical principles, application scenarios, and usage characteristics of different SP-NFT schemes. Several key issues in SP-NFT development, including the factors involved in neural mechanisms, scheme selection, learning basis, and experimental implementation, are discussed. 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| subjects | Anxiety Biofeedback brain nerve regulation Brain research EEG electroencephalograph Electroencephalography Feedback Motor task performance neurofeedback training Neuroscience Physiology Research methodology sport performance Swimming user experience |
| title | A Review of Neurofeedback Training for Improving Sport Performance From the Perspective of User Experience |
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