Evidence map›Paper›PMID 33808786›Full record

ArticleSensors (Basel, Switzerland)2021

Electrophysiological Correlation Underlying the Effects of Music Preference on the Prefrontal Cortex Using a Brain-Computer Interface.

Kevin C Tseng

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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. Article
  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

1 author.

Kevin C TsengProduct Design and Development Laboratory, Department of Industrial Design, National Taipei University of Technology, Taipei City 106344, Taiwan.ORCID 0000-0003-4601-0143

Funding

Ministry of Science and Technology, Taiwan MOST 106-2628-H-027-001-MY3Ministry of Science and Technology, Taiwan MOST 108-2410-H-027-024-MY3Ministry of Science and Technology, Taiwan MOST 109-2410-H-027-003-MY2
6 · The paper itself

Abstract

This study aims to research the task of recognising brain activities in the prefrontal cortex that correspond to music at different preference levels. Since task performance regarding the effects of the subjects' favourite music can lead to better outcomes, we focus on the physical interpretation of electroencephalography (EEG) bands underlying the preference level for music. The experiment was implemented using a continuous response digital interface for the preference classification of three types of musical stimuli. The results showed that favourite songs more significantly evoked frontal theta than did the music of low and moderate preference levels. Additionally, correlations of frontal theta with cognitive state indicated that the frontal theta is associated not only with the cognitive state but also with emotional processing. These findings demonstrate that favourite songs can have more positive effects on listeners than less favourable music and suggest that theta and lower alpha in the frontal cortex are good indicators of both cognitive state and emotion.

Indexed as

Brain-Computer InterfacesMusicAcoustic StimulationAuditory PerceptionElectroencephalographyHumansPrefrontal Cortexbrain–computer interfaceEEGmusic preferenceprefrontal cortex

Identifiers

PMID33808786
PMCPMC8003564

What OpenQuestion holds

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Read underepoch 390

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.