Evidence map›Paper›PMID 40487051›Full record

ReviewPeerJ2025

Neural mechanism of dopamine modulating singing related behavior in songbirds: an updated review.

Linghua Zhong, Weiting Li, Mengjiao Liu, Wei Sun, Zhibin Liu, Songhua Wang

Abstract readReview
In one paragraph

Review in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Linghua ZhongSchool of Sports and Health, Jiangxi Science and Technology Normal University, Nanchang, China.
Weiting LiSchool of Sports and Health, Jiangxi Science and Technology Normal University, Nanchang, China.
Mengjiao LiuJiangxi Provincial Key Laboratory of Organic Functional Molecules, Jiangxi Science and Technology Normal University, Nanchang, China.
Wei SunJiangxi Provincial Key Laboratory of Organic Functional Molecules, Jiangxi Science and Technology Normal University, Nanchang, China.
Zhibin LiuSchool of Sports and Health, Jiangxi Science and Technology Normal University, Nanchang, China.
Songhua WangJiangxi Provincial Key Laboratory of Organic Functional Molecules, Jiangxi Science and Technology Normal University, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Similar to human language, songbird singing is a complex motor skill learning behavior that is regulated by an interconnected network of neural nuclei in the brain. This network of nuclei demonstrates structural homology with human vocal control-related brain regions and shares common regulatory mechanisms for vocal learning. As an important neurotransmitter, dopamine plays a key role in the learning and maintenance of songbirds' singing behavior. Studies have demonstrated that the dopaminergic system plays a critical role in regulating the plasticity of singing via the midbrain dopamine pathway, which projects to the song control circuit. Novel experimental techniques, such as optogenetic circuit manipulation and neural activity monitoring, have significantly advanced our understanding of the cellular and synaptic mechanisms underlying vocalization behavior of dopamine effects. This review offers an updated insight into the neural mechanisms by which dopamine modulates singing-related behavior, along with future prospects for utilizing dopamine in the treatment of speech-related disorders.

Indexed as

DopamineSingingSongbirdsVocalization, AnimalAnimalsBrainHumansLearningOptogeneticsDopamineDopamineSinging behaviorSongbirdSong control system

Identifiers

PMID40487051
PMCPMC12145779

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.