RecruitingNot ApplicableNCT06364670

Application of Machine Learning Based on fNIRS in Predicting Acupuncture's Efficacy in Treating Tinnitus

Sponsor

The Third Affiliated hospital of Zhejiang Chinese Medical University

Enrollment

500 participants

Start Date

May 1, 2024

Study Type

INTERVENTIONAL

Conditions

Tinnitus

Summary

This trial aims to use machine learning to analyze fNIRS imaging data of specific brain regions of tinnitus patients, thereby constructing a predictive model of the clinical efficacy of acupuncture for SNT.

Eligibility

Min Age: 18 YearsMax Age: 60 Years

Inclusion Criteria4

Bilateral tinnitus that meets the diagnostic criteria for chronic subjective tinnitus.
Male and female, aged between 18 and 60 years.
Right-handed subjects who are able to comply with the study protocol and sign written informed consent.
Not participating in other clinical trials concurrently.

Exclusion Criteria6

Participants with objective tinnitus.
Participants have nervous system diseases or neuropsychiatric diseases that can significantly affect brain blood oxygen metabolism assessed by fNIRS.
Participants with severe cardiovascular and cerebrovascular diseases, malignant liver and kidney diseases, and other serious diseases.
Participants have any contraindications for acupuncture (such as a bleeding tendency).
Pregnant or lactating women.
Participants have received tinnitus treatment with drugs or other therapies in the last four weeks.

Interested in this trial?

Get notified about updates and connect with the research team.

Interventions

PROCEDUREacupuncture

Acupuncture will be performed at acupoints including TE17 (Yifeng), SI19 (Tinggong), GB2 (Tinghui), TE5 (Waiguan), TE3 (Zhongzhu), ST36 (Zusanli ), KI3 (Taixi), and etc.