Application of Latent Growth Curve modeling to predict individual trajectories during neurofeedback treatment for tinnitus

C Riha, D Güntensperger, J Oschwald… - Progress in brain …, 2021 - Elsevier
Tinnitus is a heterogeneous phenomenon indexed by various EEG oscillatory profiles.
Applying neurofeedback (NFB) with the aim of changing these oscillatory patterns not only …

An interpretable tinnitus prediction framework using gap-prepulse inhibition in auditory late response and electroencephalogram

I Hussain, C Kwon, TS Noh, HC Kim, MW Suh… - Computer Methods and …, 2024 - Elsevier
Abstract Background and Objective Tinnitus is a neuropathological condition that results in
mild buzzing or ringing of the ears without an external sound source. Current tinnitus …

Frequency and time domain analysis of eeg based auditory evoked potentials to detect binaural hearing in noise

E Ignatious, S Azam, M Jonkman… - Journal of Clinical …, 2023 - mdpi.com
Hearing loss is a prevalent health issue that affects individuals worldwide. Binaural hearing
refers to the ability to integrate information received simultaneously from both ears, allowing …

[HTML][HTML] An IoT-enabled EEG headphones with customized music for chronic tinnitus assessment and symptom management

CH Lin, YL Li, WS Ciou, YC Du - Internet of Things, 2024 - Elsevier
Chronic tinnitus often affects elderly or hearing-impaired individuals, which can disturb their
daily lives by disrupting concentration and limiting communication. Clinically, sound …

Deep learning-based electroencephalic diagnosis of tinnitus symptom

ES Hong, HS Kim, SK Hong, D Pantazis… - Frontiers in Human …, 2023 - frontiersin.org
Tinnitus is a neuropathological phenomenon caused by the recognition of external sound
that does not actually exist. Existing diagnostic methods for tinnitus are rather subjective and …

Disentangled and side-aware unsupervised domain adaptation for cross-dataset subjective tinnitus diagnosis

Y Li, Z Liu, L Yao, JJM Monaghan… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
EEG-based tinnitus classification is a valuable tool for tinnitus diagnosis, research, and
treatments. Most current works are limited to a single dataset where data patterns are …

Comparative analysis of acoustic therapies for tinnitus treatment based on auditory event-related potentials

LM Alonso-Valerdi, DI Ibarra-Zárate… - Frontiers in …, 2023 - frontiersin.org
Introduction So far, Auditory Event-Related Potential (AERP) features have been used to
characterize neural activity of patients with tinnitus. However, these EEG patterns could be …

an Electroencephalography-based database for studying the effects of acoustic therapies for tinnitus treatment

AR Cuevas-Romero, LM Alonso-Valerdi… - Scientific data, 2022 - nature.com
The present database provides demographic (age and sex), clinical (hearing loss and
acoustic properties of tinnitus), psychometric (based on Tinnitus Handicapped Inventory and …

Frequency responses of headphones modulate alpha brain oscillations related to auditory processing

NE Naal-Ruiz, LM Alonso-Valerdi, DI Ibarra-Zarate - Applied Acoustics, 2022 - Elsevier
The perception of sound can differ significantly, regardless of its physical properties. The
frequency content of a sound can provoke different psychoacoustic effects on humans, and …

Objective Neurophysiological Indices for the Assessment of Chronic Tinnitus Based on EEG Microstate Parameters

Y Wang, P Zeng, Z Gu, H Liu, S Han… - … on Neural Systems …, 2024 - ieeexplore.ieee.org
Chronic tinnitus is highly prevalent but lacks precise diagnostic or effective therapeutic
standards. Its onset and treatment mechanisms remain unclear, and there is a shortage of …