Evidence map›Paper›PMID 33066811›Full record

ArticleTrials2020

Therapeutic benefits of music-based synchronous finger tapping in Parkinson's disease-an fNIRS study protocol for randomized controlled trial in Dalian, China.

Lanlan Pu, Nauman Khalid Qureshi, Joanne Ly, Bingwei Zhang, Fengyu Cong, William C Tang, Zhanhua Liang

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
PubMed Full text at PMC Publisher
In one paragraph

Article in Trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04212897 (Therapeutic Benefits of Music for Parkinson's Disease), which is not on this map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 48% 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.

NCT04212897 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Therapeutic Benefits of Music for Parkinson's Disease: a fNIRS Study Protocol for Controlled Trial

TypeinterventionalSponsorThe First Affiliated Hospital of Dalian Medical UniversityRan2021 to 2022Enrolled150ConditionsParkinson DiseaseArmsMusic Therapy
3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
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

7 authors at 5 institutions in 3 countries.

Lanlan PuDepartment of Neurology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China.
Nauman Khalid QureshiSchool of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning Province, China.
Joanne LyDepartment of Biomedical Engineering, University of California, Irvine, CA, USA.
Bingwei ZhangDepartment of Neurology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China.
Fengyu CongSchool of Biomedical Engineering, Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, Liaoning Province, China.
William C TangDepartment of Biomedical Engineering, University of California, Irvine, CA, USA. wctang@uci.edu.
Zhanhua LiangDepartment of Neurology, the First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning Province, China. zhanhualiang@163.com.
First Affiliated Hospital of Dalian Medical University · CNUniversity of California, Irvine · USDalian Medical University · CNDalian University · CNDalian University of Technology · CN

Funding

Health and Family Planning Commission of Liaoning Province LNCCC-C06-2015
6 · The paper itself

Abstract

backgroundMusic therapy improves neuronal activity and connectivity of healthy persons and patients with clinical symptoms of neurological diseases like Parkinson's disease, Alzheimer's disease, and major depression. Despite the plethora of publications that have reported the positive effects of music interventions, little is known about how music improves neuronal activity and connectivity in afflicted patients.

methodsFor patients suffering from Parkinson's disease (PD), we propose a daily 25-min music-based synchronous finger tapping (SFT) intervention for 8 weeks. Eligible participants with PD are split into two groups: an intervention group and a control arm. In addition, a third cohort of healthy controls will be recruited. Assessment of finger tapping performances, the Unified Parkinson's Disease Rating Scale (UPDRS), an n-back test, the Montreal Cognitive Assessment (MoCA), as well as oxygenated hemoglobin (HbO DISCUSSION: This exploratory prospective trial study investigates the cortical neuronal activity and therapeutic effects associated with an auditory external cue used to induce automatic and implicit synchronous finger tapping in patients diagnosed with PD. The extent to which the intervention is effective may be dependent on the severity of the disease. The study's findings are used to inform larger clinical studies for optimization and further exploration of the therapeutic effects of movement-based music therapy on neural activity in neurological diseases.

trial registrationClinicalTrials.gov NCT04212897 . Registered on December 30, 2019. The participant recruitment and study protocol have received ethical approval from the First Affiliated Hospital of Dalian Medical University. The hospital Protocol Record number is PJ-KY-2019-123. The protocol was named "fNIRS Studies of Music Intervention of Parkinson's Disease." The current protocol is version 1.1, revised on September 1, 2020.

Indexed as

MusicParkinson DiseaseChinaHumansProspective StudiesRandomized Controlled Trials as TopicSpectroscopy, Near-InfraredExplicit and implicit timingfNIRSMotor-controlMusic therapyParkinson’s diseaseRandomized controlled trialsSynchronous finger tapping

Identifiers

PMID33066811
PMCPMC7568348
OpenAlexW3092707845

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Registered trials

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.