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Clinical Trial Summary

Mental health has become an increasingly pressing concern, especially since the onset of the COVID-19 pandemic. However, not all individuals experiencing mental suboptimal states require pharmacological treatment. Telemedicine offers psychological interventions like Music Therapy (MT), which utilizes remote network technology to provide effective psychological services. MT achieves its therapeutic effect by improving the brain's internal network activation patterns, thus promoting self-regulation. With relaxing and soothing music, MT gradually helps individuals unwind and regulates their psychological emotions by influencing the cerebral cortex, hypothalamus, and limbic system, leading to an improved daily mood and reduced tension and anxiety. The study was designed as a randomized clinical trial, comprising a telemedicine intervention group (MT) and a waiting control group (CON group), both of whom were in a state of mental sub-health. The MT group received music therapy, while the Waiting group received the MT intervention after the treatment of the MT group. The aim of this study was to collect mental health symptom data, behavioral data, and voice expression data using mobile phone, wearable devices (WD) and neuroimaging techniques (fNIRS). These indicators were used as objective measures to assess the long-term and short-term efficacy of telep-sychological interventions. Analyzing digital biomarkers allowed for a deeper understanding of the potential biological and neurobiological mechanisms underlying the effectiveness of tele-psychological interventions.


Clinical Trial Description

The Internet intervention study is a double-blind randomized controlled trial designed to assess the efficacy of Internet-based Music Therapy (MT) compared to a waiting control group for individuals experiencing mental sub-health. Participants will be randomly assigned in a 1:1 ratio to either the intervention group (MT group) or the waiting group (CON group). Participants in the MT group will receive 12 sessions, spread over a 3-4 week period, with 3-4 sessions per week, each lasting 20-30 minutes. The MT group will undergo music therapy during the first 4 weeks. Clinical symptom assessments and related data will be collected from participants before MT (baseline) and after MT (at the 3rd or 4th week, 1 month, and 6 months). The MT sessions will be divided into three stages, each focusing on a specific topic: Physical and mental relaxation stage: Participants will learn relaxation techniques encompassing the whole body and mind, including breathing and muscle relaxation. Nature imagination stage: Guided music imagination will be utilized during this stage. Internal self-exploration: Participants will explore positive experiences and potential within themselves, adopting a resource-oriented approach for psychological intervention. Participants in the CON group will not receive any intervention during the treatment of the MT group. Throughout the study, all participants will undergo symptom assessment, poetry reading, voice collection, functional near-infrared evaluation (fNIRS), and wearable devices monitoring to collect data. The study aims to achieve the following objectives: Evaluate changes in clinical symptoms, such as depression, anxiety, or insomnia, after the telemedicine MT intervention for individuals experiencing mental sub-health. Gain deeper insights into the possible biological mechanisms underlying the efficacy of tele-MT intervention by analyzing digital biomarkers. Explore the predictive effect of objective biomarkers on the treatment outcomes of tele-MT. The study's ultimate goal is to contribute to the understanding and effectiveness of telemedicine-based MT interventions for individuals facing mental sub-health. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05949736
Study type Interventional
Source Jiangsu Province Nanjing Brain Hospital
Contact Yue Zhu, Ph.D
Phone 18640197059
Email zhuyuemiiu@163.com
Status Recruiting
Phase N/A
Start date March 1, 2021
Completion date May 1, 2025

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