Evidence map›Paper›PMID 26257695›Full record

ArticleFrontiers in psychology2015

Music reduces pain and increases resting state fMRI BOLD signal amplitude in the left angular gyrus in fibromyalgia patients.

Eduardo A Garza-Villarreal, Zhiguo Jiang, Peter Vuust, Sarael Alcauter, Lene Vase, Erick H Pasaye, Roberto Cavazos-Rodriguez, Elvira Brattico, Troels S Jensen, Fernando A Barrios

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
4.8field-weighted citation impact, top 6% 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.

  1. Music-based interventions for chronic pain management.The Cochrane database of systematic reviews · 2026
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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

10 authors at 7 institutions in 4 countries.

Eduardo A Garza-VillarrealSubdireccion de Investigaciones Clinicas, Instituto Nacional de Psiquiatria "Dr. Ramón de la Fuente Muñiz," Mexico City, Mexico ; Cátedras, National Council of Science and Technology (CONACYT) Mexico City, Mexico ; Department of Neurology, Faculty of Medicine and University Hospital "Dr. Jose E. Gonzalez" and Neuroscience Unit, Center for Research and Development in the Health Sciences, Universidad Autónoma de Nuevo León Monterrey, Mexico ; Music in the Brain, Center of Functionally Integrative Neuroscience, Aarhus University Aarhus, Denmark.
Zhiguo JiangHuman Performance and Engineering, Kessler Foundation West Orange, NJ, USA ; Department of Biomedical Engineering, New Jersey Institute of Technology Newark, NJ, USA.
Peter VuustMusic in the Brain, Center of Functionally Integrative Neuroscience, Aarhus University Aarhus, Denmark ; Royal Academy of Music Aarhus, Denmark.
Sarael AlcauterDepartment of Behavioral and Cognitive Neurobiology, Institute of Neurobiology, Universidad Nacional Autonoma de Mexico Queretaro, Mexico.
Lene VaseDepartment of Psychology and Behavioral Sciences, University of Aarhus Aarhus, Denmark ; Danish Pain Research Center, Aarhus University Hospital Aarhus, Denmark.
Erick H PasayeDepartment of Behavioral and Cognitive Neurobiology, Institute of Neurobiology, Universidad Nacional Autonoma de Mexico Queretaro, Mexico.
Roberto Cavazos-RodriguezDepartment of Neurology, Faculty of Medicine and University Hospital "Dr. Jose E. Gonzalez" and Neuroscience Unit, Center for Research and Development in the Health Sciences, Universidad Autónoma de Nuevo León Monterrey, Mexico.
Elvira BratticoHelsinki Collegium for Advanced Studies, University of Helsinki Helsinki, Finland.
Troels S JensenDepartment of Psychology and Behavioral Sciences, University of Aarhus Aarhus, Denmark.
Fernando A BarriosDepartment of Behavioral and Cognitive Neurobiology, Institute of Neurobiology, Universidad Nacional Autonoma de Mexico Queretaro, Mexico.
Universidad Nacional Autónoma de México · MXDanish Pain Research Center · DKAarhus University · DKConsejo Nacional de Humanidades, Ciencias y Tecnologías · MXKessler Foundation · USUniversidad Autónoma de Nuevo León · MXUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Music reduces pain in fibromyalgia (FM), a chronic pain disease, but the functional neural correlates of music-induced analgesia (MIA) are still largely unknown. We recruited FM patients (n = 22) who listened to their preferred relaxing music and an auditory control (pink noise) for 5 min without external noise from fMRI image acquisition. Resting state fMRI was then acquired before and after the music and control conditions. A significant increase in the amplitude of low frequency fluctuations of the BOLD signal was evident in the left angular gyrus (lAnG) after listening to music, which in turn, correlated to the analgesia reports. The post-hoc seed-based functional connectivity analysis of the lAnG showed found higher connectivity after listening to music with right dorsolateral prefrontal cortex (rdlPFC), the left caudate (lCau), and decreased connectivity with right anterior cingulate cortex (rACC), right supplementary motor area (rSMA), precuneus and right precentral gyrus (rPreG). Pain intensity (PI) analgesia was correlated (r = 0.61) to the connectivity of the lAnG with the rPreG. Our results show that MIA in FM is related to top-down regulation of the pain modulatory network by the default mode network (DMN).

Indexed as

analgesiaangular gyrusBOLD signalfALFFfibromyalgiamusicpainresting state fMRI

Identifiers

PMID26257695
PMCPMC4510313
OpenAlexW1576218952

What OpenQuestion holds

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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.