Evidence map›Paper›PMID 38837017›Full record

SynthesisApplied psychophysiology and biofeedback2024

Musical Neurofeedback Advancements, Feedback Modalities, and Applications: A Systematic Review.

Punitkumar Bhavsar, Pratikkumar Shah, Saugata Sinha, Deepesh Kumar

Erratum issuedAbstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Applied psychophysiology and biofeedback, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Punitkumar BhavsarDepartment of Electronics and Communication, Visvesvaraya National Institute of Technology, Nagpur, India.
Pratikkumar ShahDepartment of Computer Science and Engineering, Indian Institute of Information Technology, Vadodara, India.
Saugata SinhaDepartment of Electronics and Communication, Visvesvaraya National Institute of Technology, Nagpur, India.
Deepesh KumarSchool of Biomedical Engineering, Indian Institute of Technology (BHU), Varanasi, India. deepesh.bme@iitbhu.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of EEG-Neurofeedback (EEG-NF) training has showcased significant promise in treating various mental disorders, while also emerging as a cognitive enhancer across diverse applications. The core principle of EEG-NF involves consciously guiding the brain in desired directions, necessitating active engagement in neurofeedback (NF) tasks over an extended period. Music listening tasks have proven to be effective stimuli for such training, influencing emotions, mood, and brainwave patterns. This has spurred the development of musical NF systems and training protocols. Despite these advancements, there exists a gap in systematic literature that comprehensively explores and discusses the various modalities of feedback mechanisms, its benefits, and the emerging applications. Addressing this gap, our review article presents a thorough literature survey encompassing studies on musical NF conducted over the past decade. This review highlights the several benefits and applications ranging from neurorehabilitation to therapeutic interventions, stress management, diagnostics of neurological disorders, and sports performance enhancement. While acknowledged for advantages and popularity of musical NF, there is an opportunity for growth in the literature in terms of the need for systematic randomized controlled trials to compare its effectiveness with other modalities across different tasks. Addressing this gap will involve developing standardized methodologies for studying protocols and optimizing parameters, presenting an exciting prospect for advancing the field.

Indexed as

Music TherapyNeurofeedbackAuditory PerceptionElectroencephalographyHumansBiofeedbackBrain-computer interfaceEEGMusicNeurofeedbackNeurorehabilitationSonification

Identifiers

What OpenQuestion holds

Textmetadata
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.