An Electroencephalography-based Database for studying the Effects of Acoustic Therapies for Tinnitus Treatment

Author:

Cuevas-Romero Alma RosaORCID,Alonso-Valerdi Luz MaríaORCID,Intriago-Campos Luis Alejandro,Ibarra-Zárate David Isaac

Abstract

AbstractThe present database provides demographic (age and sex), clinical (hearing loss and acoustic properties of tinnitus), psychometric (based on Tinnitus Handicapped Inventory and Hospital Anxiety and Depression Scale) and electroencephalographic information of 89 tinnitus sufferers who were semi-randomly treated for eight weeks with one of five acoustic therapies. These were (1) placebo (relaxing music), (2) tinnitus retraining therapy, (3) auditory discrimination therapy, (4) enriched acoustic environment, and (5) binaural beats therapy. Fourteen healthy volunteers who were exposed to relaxing music and followed the same experimental procedure as tinnitus sufferers were additionally included in the study (control group). The database is available at https://doi.org/10.17632/kj443jc4yc.1. Acoustic therapies were monitored one week after, three weeks after, five weeks after, and eight weeks after the acoustic therapy. This study was previously approved by the local Ethical Committee (CONBIOETICA19CEI00820130520), it was registered as a clinical trial (ISRCTN14553550) in BioMed Central (Springer Nature), the protocol was published in 2016, it attracted L’Oréal-UNESCO Organization as a sponsor, and six journal publications have resulted from the analysis of this database.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Reference27 articles.

1. Langguth, B., Kreuzer, P. M., Kleinjung, T. & De Ridder, D. Tinnitus: causes and clinical management. The Lancet Neurology 12(9), 920–30 (2013).

2. Brüggemann, P. et al. Impact of multiple factors on the degree of tinnitus distress. Frontiers in Human Neurosciences 10(1), 341 (2016).

3. Simoes, J. P. et al. Towards personalized tinnitus treatment: An exploratory study based on internet crowdsensing. Frontiers in Public Health 1(7), 157 (2019).

4. Koelsch, S. A neuroscientific perspective on music therapy. Annals of the New York Academy of Sciences 1169(1), 374–384 (2009).

5. Ibarra-Zarate, D. & Alonso-Valerdi, L. M. Acoustic therapies for tinnitus: The basis and the electroencephalographic evaluation. Biomedical Signal Processing and Control 59(101900), 1–11 (2020).

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Objective Neurophysiological Indices for the Assessment of Chronic Tinnitus Based on EEG Microstate Parameters;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

2. A Deep Learning Based Approach In The Prediction Of Tinnitus Disease For Large Population Data;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. Comparative analysis of acoustic therapies for tinnitus treatment based on auditory event-related potentials;Frontiers in Neuroscience;2023-04-04

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