AIMC Topic: Tinnitus

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Enhanced classification of tinnitus patients using EEG microstates and deep learning techniques.

Scientific reports May 7, 2025
This study aims to deepen the understanding and classification of tinnitus through a comprehensive analysis of EEG signals utilizing innovative microstate analysis techniques and cutting-edge machine learning approaches. EEG data were collected from ...
Tinnitus Humans Female Adult Male Middle Aged Deep Learning Support Vector Machine Electroencephalography
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Structural brain pattern abnormalities in tinnitus with and without hearing loss.

Hearing research Apr 6, 2025
OBJECTIVE: Subjective tinnitus often coexists with hearing loss, and they share common pathophysiological mechanisms. This comorbidity induces whole-brain gray matter volume (GMV) alterations, manifesting as distributed structural changes in neural n...
Aged Adult Male Middle Aged Humans Brain Female Gray Matter Auditory Cortex Hearing Hearing Loss Case-Control Studies Magnetic Resonance Imaging Brain Mapping Tinnitus
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Machine Learning-Based Diagnosis of Chronic Subjective Tinnitus With Altered Cognitive Function: An Event-Related Potential Study.

Ear and hearing Jan 20, 2025
OBJECTIVES: Due to the absence of objective diagnostic criteria, tinnitus diagnosis primarily relies on subjective assessments. However, its neuropathological features can be objectively quantified using electroencephalography (EEG). Despite the exis...
Chronic Disease Electroencephalography Tinnitus Evoked Potentials, Auditory Male Middle Aged Case-Control Studies Cognition Evoked Potentials Humans Machine Learning Female Adult
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The Efficacy of a Food Supplement in the Treatment of Tinnitus with Comorbid Headache: A Statistical and Machine Learning Analysis with a Literature Review.

Audiology & neuro-otology Oct 18, 2024
INTRODUCTION: Tinnitus, the perception of sound without an external auditory stimulus, affects approximately 10-15% of the population and is often associated with significant comorbidities such as headaches. These conditions can severely impact the q...
Female Aged Young Adult Adult Humans Machine Learning Prospective Studies Male Middle Aged Quality of Life Comorbidity Treatment Outcome Dietary Supplements Headache Tinnitus
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Predicting noise-induced hearing loss with machine learning: the influence of tinnitus as a predictive factor.

The Journal of laryngology and otology May 9, 2024
OBJECTIVES: This study aimed to determine which machine learning model is most suitable for predicting noise-induced hearing loss and the effect of tinnitus on the models' accuracy.
Occupational Diseases Hearing Loss, Noise-Induced Metallurgy Noise, Occupational Support Vector Machine Predictive Value of Tests Tinnitus Audiometry, Pure-Tone Adult Male Middle Aged Occupational Exposure Humans Machine Learning Female Risk Factors
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Prediction of Tinnitus Treatment Outcomes Based on EEG Sensors and TFI Score Using Deep Learning.

Sensors (Basel, Switzerland) Jan 12, 2023
Tinnitus is a hearing disorder that is characterized by the perception of sounds in the absence of an external source. Currently, there is no pharmaceutical cure for tinnitus, however, multiple therapies and interventions have been developed that imp...
Deep Learning Treatment Outcome Electroencephalography Tinnitus Humans Artificial Intelligence
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Tinnitus-like "hallucinations" elicited by sensory deprivation in an entropy maximization recurrent neural network.

PLoS computational biology Dec 8, 2021
Sensory deprivation has long been known to cause hallucinations or "phantom" sensations, the most common of which is tinnitus induced by hearing loss, affecting 10-20% of the population. An observable hearing loss, causing auditory sensory deprivatio...
Humans Neural Networks, Computer Algorithms Computer Simulation Neuronal Plasticity Tinnitus Auditory Perception Sensory Deprivation Cochlear Nucleus Entropy Information Theory Hallucinations
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Preictal state detection using prodromal symptoms: A machine learning approach.

Epilepsia Jan 19, 2021
A reliable identification of a high-risk state for upcoming seizures may allow for preemptive treatment and improve the quality of patients' lives. We evaluated the ability of prodromal symptoms to predict preictal states using a machine learning (ML...
Young Adult Prodromal Symptoms Adult Photophobia Male Middle Aged Humans Attention Machine Learning Comprehension Noise Video Recording Speech Female Hearing Loss Area Under Curve Surveys and Questionnaires Reading Tinnitus Electroencephalography Support Vector Machine Drug Resistant Epilepsy Affect Seizures Vision Disorders
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Objective measurement of tinnitus using functional near-infrared spectroscopy and machine learning.

PloS one Nov 18, 2020
Chronic tinnitus is a debilitating condition which affects 10-20% of adults and can severely impact their quality of life. Currently there is no objective measure of tinnitus that can be used clinically. Clinical assessment of the condition uses subj...
Photic Stimulation Female Aged Adult Male Middle Aged Humans Spectroscopy, Near-Infrared Machine Learning Tinnitus Evoked Potentials, Auditory
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The Bayesian brain in imbalance: Medial, lateral and descending pathways in tinnitus and pain: A perspective.

Progress in brain research Aug 21, 2020
Tinnitus and pain share similarities in their anatomy, pathophysiology, clinical picture and treatments. Based on what is known in the pain field, a heuristic model can be proposed for the pathophysiolgy of tinnitus. This heuristic pathophysiological...
Pain Tinnitus Humans Brain Bayes Theorem Electroencephalography
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