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Record W7037418876

Effects of Binaural Beat Music and Esketamine for ECT in the Treatment of Major Depressive Disorder: A Randomized Controlled Trial Protocol

2025· article· en· W7037418876 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsnot available
Fundersnot available
KeywordsElectroconvulsive therapyRandomized controlled trialMajor depressive disorderAdverse effectMoodIncidence (geometry)Clinical trial
DOInot available

Abstract

fetched live from OpenAlex

Ying Zhang,1 Zhaojuan Ke,1 Jie Luo,1 Qibin Chen,1 Xiaoming Xu,2 Xin Jiang,1 Jialin Xiong1 1Department of Anesthesiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China; 2Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of ChinaCorrespondence: Jie Luo, Department of Anesthesiology, The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing, 400016, People’s Republic of China, Tel +86-023-89011069, Email jieluo@cqmu.edu.cnPurpose: Major depressive disorder (MDD) has a high incidence and high risk of suicide. Electroconvulsive therapy (ECT) is a highly effective and rapid physical therapy for MDD but limited by adverse effects. Ketamine/esketamine are new emerging rapid antidepressants, which can synergize the efficacy and safety of ECT but come with other side effects. Binaural beat music (BBM) is a non-invasive somatopsychic therapy with the potential to improve mood and assist the efficacy of (es)ketamine. Purpose of this study is to investigate the modification of BBM on effects of (esketamine combined with) ECT for MDD, and the probable interaction between BBM and esketamine, aiming to provide insights for optimizing ECT and improving outcomes of patients with MDD.Patients and Methods: This study is a 2× 2 factorial, prospective, randomized, controlled, blinded clinical trial that recruiting 476 patients with MDD who require ECT treatments. These participants are randomly 1:1:1:1 allocated to the following groups (119 in each group): ① Group B0E0 (blank sound and normal saline); ② Group B0E1 (blank sound and esketamine); ③ Group B1E0 (BBM and normal saline); ④ group B1E1 (BBM and esketamine). The primary outcome is the response rate of patients to ECT treatment, assessed using the Hamilton depression scale (HAMD). Secondary outcomes include remission rate of depression and remission of suicidal ideation (assessed using HAMD), accompanied psychotic symptoms assessed using the Brief Psychiatric Rating Scale, cognitive function assessed using the Montreal Cognitive Assessment Scale, parameters of ECT, perianesthesia vital signs and anesthesia-related indices, blood biomarkers, and side effects.Discussion: This study provides the first clinical evidence of the effects of BBM alone or interacted with esketamine in patients with MDD undergoing ECT. Our data are expected to suggest BBM’s potential for developing better ECT therapeutic strategies, optimizing treatments for MDD and promoting prognosis.Keywords: ketamine, music therapy, depression, electroconvulsive therapy, adverse effect, efficacy

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.609

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.089
GPT teacher head0.509
Teacher spread0.420 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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