Evidence map›Paper›PMID 30877225›Full record

ArticleThe Journal of experimental biology2019

Sensory feedback independent pre-song vocalizations correlate with time to song initiation.

Divya Rao, Satoshi Kojima, Raghav Rajan

Abstract read
In one paragraph

Article in The Journal of experimental biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

3 authors.

Divya RaoDivision of Biology, Indian Institute of Science Education and Research Pune, Pune, Maharashtra 411008, India.
Satoshi KojimaDepartment of Structure and Function of Neural Network, Korea Brain Research Institute, Dong-gu, Daegu 701-300, Republic of Korea.
Raghav RajanDivision of Biology, Indian Institute of Science Education and Research Pune, Pune, Maharashtra 411008, India raghav@iiserpune.ac.in.ORCID 0000-0002-7770-3711

Funding

NEURAL ANALYSIS OF VOCAL LEARNINGR01MH055987 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRAINARD, MICHAEL S · 1996 to 2015
$5.9M
NIMH NIH HHS R01 MH055987
6 · The paper itself

Abstract

The song of the adult male zebra finch is a well-studied example of a learned motor sequence. Song bouts begin with a variable number of introductory notes (INs) before actual song production. Previous studies have shown that INs progress from a variable initial state to a stereotyped final state before each song. This progression is thought to represent motor preparation, but the underlying mechanisms remain poorly understood. Here, we assessed the role of sensory feedback in the progression of INs to song. We found that the mean number of INs before song and the progression of INs to song were not affected by removal of two sensory feedback pathways (auditory or proprioceptive). In both feedback-intact and feedback-deprived birds, the presence of calls (other non-song vocalizations), just before the first IN, was correlated with fewer INs before song and an initial state closer to song. Finally, the initial IN state correlated with the time to song initiation. Overall, these results show that INs do not require real-time sensory feedback for progression to song. Rather, our results suggest that changes in IN features and their transition to song are controlled by internal neural processes, possibly involved in getting the brain ready to initiate a learned movement sequence.

Indexed as

Feedback, SensoryAnimalsDeafnessFinchesMaleProprioceptionTime FactorsTracheaVocal CordsVocalization, AnimalBird songMotor preparationPreparatory vocalizationsSequence initiationZebra finch

Identifiers

PMID30877225
PMCPMC6467462

What OpenQuestion holds

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Registered trials

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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.