Evidence map›Paper›PMID 35173597›Full record

ArticleFrontiers in neurorobotics2022

Multi-Modal Integration of EEG-fNIRS for Characterization of Brain Activity Evoked by Preferred Music.

Lina Qiu, Yongshi Zhong, Qiuyou Xie, Zhipeng He, Xiaoyun Wang, Yingyue Chen, Chang'an A Zhan, Jiahui Pan

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

8 authors.

Lina QiuSchool of Software, South China Normal University, Guangzhou, China.
Yongshi ZhongSchool of Software, South China Normal University, Guangzhou, China.
Qiuyou XieDepartment of Rehabilitation Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Zhipeng HeSchool of Software, South China Normal University, Guangzhou, China.
Xiaoyun WangGuangdong Work Injury Rehabilitation Hospital, Guangzhou, China.
Yingyue ChenGuangdong Work Injury Rehabilitation Hospital, Guangzhou, China.
Chang'an A ZhanSchool of Biomedical Engineering, Southern Medical University, Guangzhou, China.
Jiahui PanSchool of Software, South China Normal University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Music can effectively improve people's emotions, and has now become an effective auxiliary treatment method in modern medicine. With the rapid development of neuroimaging, the relationship between music and brain function has attracted much attention. In this study, we proposed an integrated framework of multi-modal electroencephalogram (EEG) and functional near infrared spectroscopy (fNIRS) from data collection to data analysis to explore the effects of music (especially personal preferred music) on brain activity. During the experiment, each subject was listening to two different kinds of music, namely personal preferred music and neutral music. In analyzing the synchronization signals of EEG and fNIRS, we found that music promotes the activity of the brain (especially the prefrontal lobe), and the activation induced by preferred music is stronger than that of neutral music. For the multi-modal features of EEG and fNIRS, we proposed an improved Normalized-ReliefF method to fuse and optimize them and found that it can effectively improve the accuracy of distinguishing between the brain activity evoked by preferred music and neutral music (up to 98.38%). Our work provides an objective reference based on neuroimaging for the research and application of personalized music therapy.

Indexed as

brain activityelectroencephalogram (EEG)functional near-infrared spectroscopy (fNIRS)multi-modalitypreferred music

Identifiers

PMID35173597
PMCPMC8841473

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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.