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

Launched by THE THIRD AFFILIATED HOSPITAL OF ZHEJIANG CHINESE MEDICAL UNIVERSITY · Apr 12, 2024

Keywords

ClinConnect Summary

This clinical trial is looking at how machine learning can help predict whether acupuncture will be effective for people suffering from tinnitus, a condition that causes ringing or buzzing in the ears. Researchers will analyze brain imaging data from participants to create a model that could better understand how acupuncture might help those with this condition.

To be part of this study, participants must be between 18 and 60 years old, have chronic tinnitus in both ears, and be right-handed. They should not be involved in other clinical trials or have any serious health issues that could affect the results. Participants can expect to undergo some brain imaging tests and acupuncture treatments as part of the study. If you or someone you know is interested and meets the eligibility criteria, this could be an opportunity to help advance research in treating tinnitus.

Gender

ALL

Eligibility criteria

• 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.