Evidence map›Paper›PMID 28239344›Full record

ArticleFrontiers in human neuroscience2017

Selective Attention Enhances Beta-Band Cortical Oscillation to Speech under "Cocktail-Party" Listening Conditions.

Yayue Gao, Qian Wang, Yu Ding, Changming Wang, Haifeng Li, Xihong Wu, Tianshu Qu, Liang Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in human neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

11 citing papers in PubMed, 37 citations in OpenAlex.

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  9. [Review on the relationship between selective attention and neural oscillations].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2019
    Review
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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 at 4 institutions in 1 country.

Yayue GaoBeijing Key Laboratory of Behavior and Mental Health, School of Psychological and Cognitive Sciences, Peking University Beijing, China.
Qian WangBeijing Key Laboratory of Behavior and Mental Health, School of Psychological and Cognitive Sciences, Peking University Beijing, China.
Yu DingBeijing Key Laboratory of Behavior and Mental Health, School of Psychological and Cognitive Sciences, Peking University Beijing, China.
Changming WangBeijing Anding Hospital, Capital Medical UniversityBeijing, China; Beijing Institute for Brain Disorders, Capital Medical UniversityBeijing, China.
Haifeng LiSchool of Computer Science and Technology, Harbin Institute of Technology Harbin, China.
Xihong WuDepartment of Machine Intelligence, Peking UniversityBeijing, China; Key Laboratory on Machine Perception - Ministry of Education, Speech and Hearing Research Center, Peking UniversityBeijing, China.
Tianshu QuDepartment of Machine Intelligence, Peking UniversityBeijing, China; Key Laboratory on Machine Perception - Ministry of Education, Speech and Hearing Research Center, Peking UniversityBeijing, China.
Liang LiBeijing Key Laboratory of Behavior and Mental Health, School of Psychological and Cognitive Sciences, Peking UniversityBeijing, China; Beijing Institute for Brain Disorders, Capital Medical UniversityBeijing, China; Department of Machine Intelligence, Peking UniversityBeijing, China.
Peking University · CNCapital Medical University · CNChinese Institute for Brain Research · CNHarbin Institute of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human listeners are able to selectively attend to target speech in a noisy environment with multiple-people talking. Using recordings of scalp electroencephalogram (EEG), this study investigated how selective attention facilitates the cortical representation of target speech under a simulated "cocktail-party" listening condition with speech-on-speech masking. The result shows that the cortical representation of target-speech signals under the multiple-people talking condition was specifically improved by selective attention relative to the non-selective-attention listening condition, and the beta-band activity was most strongly modulated by selective attention. Moreover, measured with the Granger Causality value, selective attention to the single target speech in the mixed-speech complex enhanced the following four causal connectivities for the beta-band oscillation: the ones (1) from site FT7 to the right motor area, (2) from the left frontal area to the right motor area, (3) from the central frontal area to the right motor area, and (4) from the central frontal area to the right frontal area. However, the selective-attention-induced change in beta-band causal connectivity from the central frontal area to the right motor area, but not other beta-band causal connectivities, was significantly correlated with the selective-attention-induced change in the cortical beta-band representation of target speech. These findings suggest that under the "cocktail-party" listening condition, the beta-band oscillation in EEGs to target speech is specifically facilitated by selective attention to the target speech that is embedded in the mixed-speech complex. The selective attention-induced unmasking of target speech may be associated with the improved beta-band functional connectivity from the central frontal area to the right motor area, suggesting a top-down attentional modulation of the speech-motor process.

Indexed as

informational maskinglong-term neural activitiesmotor theoryneural networkselective attentionspeech unmasking

Identifiers

PMID28239344
PMCPMC5300994
OpenAlexW2586872202

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.