1. Transforming text to music using artificial intelligence improves the frontal lobe function of normal older adults
- Author
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Masayuki Satoh, Jun Inoue, Jun‐ichi Ogawa, Ken‐ichi Tabei, Chiaki Kamikawa, Makiko Abe, Ayaka Yoshizawa, Gyo Kitagawa, and Yosinori Ota
- Subjects
artificial intelligence ,composition ,music ,Music Trinity Generative Algorithm‐Human Refined ,otokai ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Abstract Introduction Recent advances in artificial intelligence (AI) have been substantial. We investigated the effectiveness of an online meeting in which normal older adults (otokai) used a music‐generative AI that transforms text to music (Music Trinity Generative Algorithm‐Human Refined [MusicTGA‐HR]). Methods One hundred eighteen community‐dwelling, cognitively normal older adults were recruited through the internet (64 men, 54 women; mean age: 69.4 ± 4.4 years). Using MusicTGA‐HR, the participants chose music that they thought was the most suitable to a given theme. We established 11 classes of 7–10 members and one instructor each. Each class held an online meeting once a week, and each participant presented the music they chose. The other participants and the instructor then commented on the music. Neuropsychological assessments were performed before and after the intervention for 6 months, and the results before and after the intervention were statistically analyzed. Results The category and letter word fluencies (WFs) were significantly improved (category WF: p = .003; letter WF: p = .036), and the time of the Trail‐Making Test‐B was also significantly shortened (p = .039). The Brain Assessment, an online cognitive test we developed, showed significant improvement in the memory of numbers (p
- Published
- 2024
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