Karawitans’ musician brain adaptation: standardized low-resolution electromagnetic tomography study

I. K. Wardani, Phakkharawat Sittiprapaporn, Djohan Djohan, Fortunata Tyasinestu
{"title":"Karawitans’ musician brain adaptation: standardized low-resolution electromagnetic tomography study","authors":"I. K. Wardani, Phakkharawat Sittiprapaporn, Djohan Djohan, Fortunata Tyasinestu","doi":"10.11591/ijai.v12.i1.pp23-33","DOIUrl":null,"url":null,"abstract":"The rapid advancement of music studies has resulted in a plethora of multidisciplinary participants. Rather than distinguishing between musicians and non-musicians’ brain activity, the current study indicated differences in brain activity while musicians listened to music based on their musical experience. In Go/NoGo response task reaction times, it showed that effects between treatments and visits were different across periods of cognitive function tests. The cognitive function at post-listening assessment out-performed the pre-listening in terms of reaction times (531.94 (±24.70) msec for post-listening assessment; and 557.13 (±37.15) msec for pre-listening assessment. The results of using electroencephalography (EEG) recording in an experimental manner with Karawitan musicians (N=20) revealed that listening to unknown cultural music, Mozart's Piano Sonata in C Major, and western music resulted in increased brain activity. Furthermore, while Karawitan musicians were listening to Mozart's Piano Sonata in C Major, the major brain activity occurred in the frontal lobe. This outcome will elicit additional consideration of music's integration, such as neuroscience of music.","PeriodicalId":52221,"journal":{"name":"IAES International Journal of Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IAES International Journal of Artificial Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11591/ijai.v12.i1.pp23-33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Decision Sciences","Score":null,"Total":0}
引用次数: 0

Abstract

The rapid advancement of music studies has resulted in a plethora of multidisciplinary participants. Rather than distinguishing between musicians and non-musicians’ brain activity, the current study indicated differences in brain activity while musicians listened to music based on their musical experience. In Go/NoGo response task reaction times, it showed that effects between treatments and visits were different across periods of cognitive function tests. The cognitive function at post-listening assessment out-performed the pre-listening in terms of reaction times (531.94 (±24.70) msec for post-listening assessment; and 557.13 (±37.15) msec for pre-listening assessment. The results of using electroencephalography (EEG) recording in an experimental manner with Karawitan musicians (N=20) revealed that listening to unknown cultural music, Mozart's Piano Sonata in C Major, and western music resulted in increased brain activity. Furthermore, while Karawitan musicians were listening to Mozart's Piano Sonata in C Major, the major brain activity occurred in the frontal lobe. This outcome will elicit additional consideration of music's integration, such as neuroscience of music.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
卡拉维坦人的音乐家大脑适应:标准化低分辨率电磁断层扫描研究
音乐研究的迅速发展导致了大量多学科的参与者。目前的研究并没有区分音乐家和非音乐家的大脑活动,而是指出了音乐家根据音乐体验听音乐时大脑活动的差异。在Go/NoGo反应任务反应时间中,研究表明,不同时期的认知功能测试对治疗和就诊的影响不同。听后评估的认知功能在反应时间方面优于听前(听后评估为531.94(±24.70)毫秒;听前评估为557.13(±37.15)msec。卡拉维派音乐家(N=20)以实验方式使用脑电图(EEG)记录的结果表明,听未知的文化音乐、莫扎特的C大调钢琴奏鸣曲和西方音乐会导致大脑活动增加。此外,当卡拉维派音乐家在听莫扎特的C大调钢琴奏鸣曲时,大脑的主要活动发生在额叶。这一结果将引发对音乐整合的额外考虑,例如音乐的神经科学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IAES International Journal of Artificial Intelligence
IAES International Journal of Artificial Intelligence Decision Sciences-Information Systems and Management
CiteScore
3.90
自引率
0.00%
发文量
170
期刊最新文献
Traffic light counter detection comparison using you only look oncev3 and you only look oncev5 for version 3 and 5 Eligibility of village fund direct cash assistance recipients using artificial neural network Reducing the time needed to solve a traveling salesman problem by clustering with a Hierarchy-based algorithm Glove based wearable devices for sign language-GloSign Hybrid travel time estimation model for public transit buses using limited datasets
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1