The accuracy and reliability of tinnitus diagnosis are increased with EEG data
Jan 25, 2025
Research has shown that EEG data can be a biomarker that can objectively diagnose tinnitus. Tinnitus is a common hearing impairment experienced by about 14% of the world's population, but it mainly relies on subjective surveys or patient reporting due to the lack of objective diagnostic criteria.
In a joint study with Professor Kim Sung-kwon of Hanyang University's ERICA ICT Convergence Department (Team member-Kim Ji-hoo, researcher Kim Eui-jin), a team led by Professor Choi Joon of ear, head and neck surgery at Korea University Ansan Hospital (Team member-Kim Ji-hoo, researcher Kim Eui-jin) compared EEG data of 24 patients with tinnitus and 24 healthy controls, and confirmed that tinnitus has a complex effect on neural activity, cognitive processing, and emotional state of the brain. The research team explains that using EEG data can increase accuracy in diagnosing tinnitus.
The research team extracted nerve signals from the brain's stimulation response called N2 and P3 from EEG data of the tinnitus patient group and the control group, and then compared and analyzed them. The results confirmed that tinnitus patients took longer to recognize and respond to new stimuli (N2 delay), and their ability to focus on external stimuli or judge their importance (reduced P3 amplitude).
We also compared how neural activity changes in specific areas of the brain, and in tinnitus patients, neural activity decreased in the temporal lobe processing auditory information, occipital lobe processing visual information, and sublobe regulating emotions. In addition, the correlation analysis between EEG characteristics and depression scores confirmed that tinnitus was potentially associated with emotional state as well as neurological effects.
In particular, the research team used a tinnitus diagnosis model using machine learning techniques to prove the possibility that EEG data could be used as an objective biomarker for diagnosing tinnitus.
Professor Choi Jun said, "Lee Myung is not just an auditory problem, but a disease that requires comprehensive consideration of neurological, cognitive, and emotional effects. We will do our best to identify the mechanism of tinnitus through research and develop effective treatment methods based on it." he said.
On the other hand, this study 'Machine Learning-Based Diagnostics of Chronic Subjective Tinnitus With Altered Cognitive Function: An Event-Related Potential Study' was published in January this year on the Internet edition of Ear and Hearing, the most prestigious journal in the field of audiology and speech therapy.
In a joint study with Professor Kim Sung-kwon of Hanyang University's ERICA ICT Convergence Department (Team member-Kim Ji-hoo, researcher Kim Eui-jin), a team led by Professor Choi Joon of ear, head and neck surgery at Korea University Ansan Hospital (Team member-Kim Ji-hoo, researcher Kim Eui-jin) compared EEG data of 24 patients with tinnitus and 24 healthy controls, and confirmed that tinnitus has a complex effect on neural activity, cognitive processing, and emotional state of the brain. The research team explains that using EEG data can increase accuracy in diagnosing tinnitus.
The research team extracted nerve signals from the brain's stimulation response called N2 and P3 from EEG data of the tinnitus patient group and the control group, and then compared and analyzed them. The results confirmed that tinnitus patients took longer to recognize and respond to new stimuli (N2 delay), and their ability to focus on external stimuli or judge their importance (reduced P3 amplitude).
We also compared how neural activity changes in specific areas of the brain, and in tinnitus patients, neural activity decreased in the temporal lobe processing auditory information, occipital lobe processing visual information, and sublobe regulating emotions. In addition, the correlation analysis between EEG characteristics and depression scores confirmed that tinnitus was potentially associated with emotional state as well as neurological effects.
In particular, the research team used a tinnitus diagnosis model using machine learning techniques to prove the possibility that EEG data could be used as an objective biomarker for diagnosing tinnitus.
Professor Choi Jun said, "Lee Myung is not just an auditory problem, but a disease that requires comprehensive consideration of neurological, cognitive, and emotional effects. We will do our best to identify the mechanism of tinnitus through research and develop effective treatment methods based on it." he said.
On the other hand, this study 'Machine Learning-Based Diagnostics of Chronic Subjective Tinnitus With Altered Cognitive Function: An Event-Related Potential Study' was published in January this year on the Internet edition of Ear and Hearing, the most prestigious journal in the field of audiology and speech therapy.
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This article was translated by Naver AI translator.
