New methods to model, treat or diagnose tinnitus.

Behavioral and electrophysiological evaluation of loudness growth in clinically normal hearing tinnitus patients with and without hyperacusis
Grand averaged auditory cortical evoked potential waveforms of the groups (Control/Blue; Tinnitus/Orange; Hyperacusis/Purple) generated by 500 Hz and 2000 Hz Narrow-Band Noise (NBN) stimuli across intensities.

Behavioral and electrophysiological evaluation of loudness growth in clinically normal hearing tinnitus patients with and without hyperacusis

The hyperacusis group differs significantly from the control and tinnitus groups in behavioral tests, but not in electrophysiological tests.

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What can we learn about tinnitus from social media posts?
Topics found with Latent Dirichlet Allocation on 100k Reddit posts. The top rectangle of each block is the topic's name assessed through the algorithm's output: the lemmatised words shown in the middle rectangle. The proportion of messages that mention the topic is displayed in the lower rectangle.

What can we learn about tinnitus from social media posts?

Exploiting spontaneous messages of Reddit users discussing tinnitus, this work identifies the main topics of interest, their heterogeneity, and how they relate to one another based on cooccurrence in users' discussions; to enhance patient-centered support.

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A data-driven decision tree for diagnosing somatosensory tinnitus
Overview of the decision tree to diagnose somatosensory tinnitus

A data-driven decision tree for diagnosing somatosensory tinnitus

Based on the results of an online survey, we developed a decision tree to classify somatosensory tinnitus patients with an accuracy of over 80%.

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Outcomes and experiences of delivering an internet-based intervention for tinnitus during the COVID-19 pandemic
Outline of the RCT

Outcomes and experiences of delivering an internet-based intervention for tinnitus during the COVID-19 pandemic

A RCT was undertaken on a US populations indicating the value of an CBT internet-intervention for both reducing tinnitus distress, tinnitus comorbidities and managing the anxiety associated with the pandemic.

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Random Forest Classification to Predict Response to High-Definition Transcranial Direct Current Stimulation Therapy for Tinnitus

A random forest classifier can predict response to high-definition transcranial direct current stimulation treatment for tinnitus with 82.41% accuracy.

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