Evidence map›Paper›PMID 26120242›Full record

ArticleMusic perception2015

A Dual-Stream Neuroanatomy of Singing.

Psyche Loui

Open access · greenAbstract read
In one paragraph

Article in Music perception, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 52 citations in OpenAlex.

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  5. Neural pathways underlying the production of pitch and rhythm in aphasia.Annals of the New York Academy of Sciences · 2025
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  7. The impact of music making on neural efficiency & dual-task walking performance in healthy older adults.Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition · 2024
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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

1 author at 1 institution in 1 country.

Psyche LouiWesleyan University.
Wesleyan University · US

Funding

Neural Control of Vocal Production in Tone-DeafnessR01DC009823 · NIDCD · BETH ISRAEL DEACONESS MEDICAL CENTER · PI SCHLAUG, GOTTFRIED · 2009 to 2013
$1.7M
NIDCD NIH HHS R01 DC009823
6 · The paper itself

Abstract

Singing requires effortless and efficient use of auditory and motor systems that center around the perception and production of the human voice. Although perception and production are usually tightly coupled functions, occasional mismatches between the two systems inform us of dissociable pathways in the brain systems that enable singing. Here I review the literature on perception and production in the auditory modality, and propose a dual-stream neuroanatomical model that subserves singing. I will discuss studies surrounding the neural functions of feedforward, feedback, and efference systems that control vocal monitoring, as well as the white matter pathways that connect frontal and temporal regions that are involved in perception and production. I will also consider disruptions of the perception-production network that are evident in tone-deaf individuals and poor pitch singers. Finally, by comparing expert singers against other musicians and nonmusicians, I will evaluate the possibility that singing training might offer rehabilitation from these disruptions through neuroplasticity of the perception-production network. Taken together, the best available evidence supports a model of dorsal and ventral pathways in auditory-motor integration that enables singing and is shared with language, music, speech, and human interactions in the auditory environment.

Indexed as

arcuate fasciculusneuroanatomypitchsingingvoice

Identifiers

PMID26120242
PMCPMC4480921
OpenAlexW2321381462

What OpenQuestion holds

Textmetadata
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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.