Evidence map›Paper›PMID 39236096›Full record

ArticleBrain and behavior2024

Transforming text to music using artificial intelligence improves the frontal lobe function of normal older adults.

Masayuki Satoh, Jun Inoue, Jun-Ichi Ogawa, Ken-Ichi Tabei, Chiaki Kamikawa, Makiko Abe, Ayaka Yoshizawa, Gyo Kitagawa, Yosinori Ota

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Masayuki SatohDepartment of Dementia and Neuropsychology, Advanced Institute of Industrial Technology, Tokyo Metropolitan Public University Corporation, Tokyo, Japan.ORCID https://orcid.org/0000-0002-7704-7232
Jun InoueAmadeus Code, Co., Ltd, Tokyo, Japan.
Jun-Ichi OgawaDepartment of Music Research, Yamaha Music Foundation, Tokyo, Japan.
Ken-Ichi TabeiSchool of Industrial Technology, Advanced Institute of Industrial Technology, Tokyo Metropolitan Public University Corporation, Tokyo, Japan.
Chiaki KamikawaDepartment of Dementia and Neuropsychology, Advanced Institute of Industrial Technology, Tokyo Metropolitan Public University Corporation, Tokyo, Japan.
Makiko AbeDepartment of Dementia and Neuropsychology, Advanced Institute of Industrial Technology, Tokyo Metropolitan Public University Corporation, Tokyo, Japan.
Ayaka YoshizawaAmadeus Code, Co., Ltd, Tokyo, Japan.
Gyo KitagawaAmadeus Code, Co., Ltd, Tokyo, Japan.
Yosinori OtaResearch Institute of Brain Activation, Tokyo, Japan.

Funding

Research Institute of Brain Activation, Tokyo, Japan
6 · The paper itself

Abstract

introductionRecent 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]).

methodsOne 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.

resultsThe 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 < .001).

conclusionThe online meeting of the otokai, which used music-generative AI, improved the frontal lobe function and memory of independent normal older adults.

Indexed as

Artificial IntelligenceFrontal LobeMusicAgedFemaleHumansMaleMiddle AgedNeuropsychological Testsartificial intelligencecompositionmusicMusic Trinity Generative Algorithm‐Human Refinedotokai

Identifiers

PMID39236096
PMCPMC11376366

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.