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

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

Status
Recruiting
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06364670
Enrollment
500
Registered
2024-04-15
Start date
2024-05-31
Completion date
2026-12-31
Last updated
2024-04-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Tinnitus

Keywords

acupuncture, moxibustion, tinnitus, fNIRS, machine learning

Brief 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.

Detailed description

This study will recruit 500 subjects with tinnitus. Functional near-infrared spectroscopy (fNIRS) will be employed to examine specific brain regions, and the corresponding fNIRS imaging data from all detection channels will be extracted. Subsequently, the subjects will undergo a course of acupuncture treatment. Based on the recovery status of tinnitus at the conclusion of the acupuncture course, all subjects will be categorized into a good prognosis group and a poor prognosis group according to relevant efficacy criteria. The entire dataset will then be randomly divided into a training set (70%) and a test set (30%) following a 7:3 ratio.

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.

Sponsors

The Third Affiliated hospital of Zhejiang Chinese Medical University
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
TREATMENT
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to 60 Years
Healthy volunteers
No

Inclusion criteria

* 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 criteria

* 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.

Design outcomes

Primary

MeasureTime frameDescription
Change in resting-state functional connectivity (RSFC)at baseline (pre-treatment), after 4-week treatmentRSFC will be measured by functional near-infrared spectroscopy (fNIRS).
Change in hemoglobin signalsat baseline (pre-treatment), after 4-week treatmentHemoglobin signals will be measured by functional near-infrared spectroscopy (fNIRS).
Change in Tinnitus Severity Gradingat baseline (pre-treatment), after 4-week treatmentTinnitus Severity Grading is based on relevant expert consensus.

Secondary

MeasureTime frameDescription
Change in Tinnitus Handicap Inventory scoreat baseline (pre-treatment), after 4-week treatmentTinnitus Handicap Inventory contains 25 items, each valued at 0-4 points. A larger score indicates a more severe degree of tinnitus.
Change in average pure-tone thresholdat baseline (pre-treatment), after 4-week treatmentThe average pure-tone threshold will be assessed by pure-tone audiometry.

Countries

China

Contacts

Primary ContactXiaohan Huang, M.M
1215360683@qq.com18334334738

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026