Evidence map›Paper›PMID 29551984›Full record

ArticleFrontiers in psychology2018

EEG-Based Analysis of the Emotional Effect of Music Therapy on Palliative Care Cancer Patients.

Rafael Ramirez, Josep Planas, Nuria Escude, Jordi Mercade, Cristina Farriols

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 pooled it
11.4field-weighted citation impact, top 1% 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it, 98 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Rafael RamirezMusic and Machine Learning Lab, Department of Information and Communication Technologies, Pompeu Fabra University, Barcelona, Spain.
Josep PlanasPalliative Care Unit, Oncology Service, Parc de Salut Mar, Instituto Mar de Investigaciones Médicas, Barcelona, Spain.
Nuria EscudeCatalan Institute of Music Therapy, University of Barcelona, Barcelona, Spain.
Jordi MercadeCatalan Institute of Music Therapy, University of Barcelona, Barcelona, Spain.
Cristina FarriolsPalliative Care Unit, Oncology Service, Parc de Salut Mar, Instituto Mar de Investigaciones Médicas, Barcelona, Spain.
Catalonia College of Music · ESParc de Salut · ESPompeu Fabra University · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Music is known to have the power to induce strong emotions. The present study assessed, based on Electroencephalography (EEG) data, the emotional response of terminally ill cancer patients to a music therapy intervention in a randomized controlled trial. A sample of 40 participants from the palliative care unit in the Hospital del Mar in Barcelona was randomly assigned to two groups of 20. The first group [experimental group (EG)] participated in a session of music therapy (MT), and the second group [control group (CG)] was provided with company. Based on our previous work on EEG-based emotion detection, instantaneous emotional indicators in the form of a coordinate in the arousal-valence plane were extracted from the participants' EEG data. The emotional indicators were analyzed in order to quantify (1) the overall emotional effect of MT on the patients compared to controls, and (2) the relative effect of the different MT techniques applied during each session. During each MT session, five conditions were considered:

Indexed as

cancerEEGemotion regulationmusic therapypalliative care

Identifiers

PMID29551984
PMCPMC5840261
OpenAlexW2792192867

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.