Tinnitus Research Digest: Trials in Progress, a Narrative Review, and Animal Research

The CATT trial is a registered clinical trial examining whether a smartphone application for tinnitus treatment represents a cost-effective option compared with standard care. Based on the available information from the trial registry, no published results have been released yet.

Cost-effectiveness studies measure whether a treatment delivers enough benefit relative to its price to justify public healthcare funding. For tinnitus, where access to specialist clinics and structured therapy remains limited for many patients, digital tools could offer a lower-cost alternative pathway to evidence-based care, such as cognitive behavioural therapy delivered through an app.

The trial registration dates from March 2022, so results may emerge in the coming years. Until findings are published, it is not possible to say whether the app works, how well it works for whom, or whether the economics support wider NHS or public-system adoption. No sample size or outcome data are available from the registry entry reviewed here. Replication and health economic modelling will be needed before any recommendation could be made.

This registered trial aims to use functional MRI (fMRI) to examine how intravenous (IV) lidocaine affects brain activity in people with tinnitus. Based on the trial registry entry, no published results are available. The study design and sample size are not described in detail in the publicly available record.

IV lidocaine has been known to temporarily suppress tinnitus in some patients for decades, but it has never become a clinical treatment. The side effects are significant, administration requires clinical supervision, and any benefit fades quickly after the infusion ends. The goal of this study is mechanistic: to understand which brain regions and pathways are involved, rather than to test lidocaine as a therapy.

Research of this kind can be valuable for identifying targets for future drug development. If lidocaine’s temporary effect on tinnitus can be traced to specific neural circuits, that could guide the search for compounds that act on the same targets with a safer and more sustained profile. That process, however, takes many years and most mechanistic studies do not lead to treatments. Replication and extension into human pharmacology trials would be required before any clinical application could follow.

This narrative review, authored by Somayeh Shahsavarani and published in February 2026 in Frontiers in Audiology and Otology, examines the evidence for hemodynamic therapies in sudden sensorineural hearing loss (SSNHL) and Ménière’s disease. The treatments reviewed include corticosteroids, vasodilators, and hyperbaric oxygen therapy (HBOT).

The review found that combining HBOT with corticosteroids had the strongest support for improving hearing recovery in SSNHL. That benefit, though, was influenced by when treatment began, how severe the initial hearing loss was, and the specific pattern of frequencies affected. Evidence for adding vasodilators to standard SSNHL care was limited. For Ménière’s disease, the review found no data supporting HBOT.

Tinnitus appears in this review as a symptom of SSNHL and Ménière’s disease rather than as a primary treatment target. The review does not evaluate tinnitus-specific outcomes. As a narrative review rather than a systematic review or meta-analysis, it may reflect the author’s selection of sources, and the conclusions should be read with that limitation in mind. The authors call for randomised controlled trials to resolve conflicting evidence and standardise treatment protocols.

This registered trial is exploring whether a machine learning model trained on functional near-infrared spectroscopy (fNIRS) brain imaging data can predict which tinnitus patients will respond to acupuncture treatment. Based on the trial registry entry, no results have been published and no publication date is available.

The study sits at the intersection of two areas where evidence in tinnitus is limited: acupuncture and predictive machine learning in clinical contexts. Acupuncture for tinnitus remains a contested area in mainstream audiology and otolaryngology, with systematic reviews generally finding insufficient evidence to support its routine use. The addition of a machine learning prediction layer, while methodologically interesting, does not resolve the underlying question of whether the treatment itself is effective.

Without published results, it is not possible to assess the model’s performance, the sample size, or what outcome measures were used. If future results show that a subgroup of patients reliably benefits from acupuncture, and that the model can accurately identify that subgroup before treatment begins, that would be a meaningful step. Both conditions need to be met for the approach to have practical value.

This animal study, authored by Hao Luo, Edward Pace, and Jinsheng Zhang and published in January 2017, examined whether blast-induced hearing trauma in rats produces both tinnitus and abnormal activity in the auditory cortex. Using a rat model, the researchers exposed animals to blast-level noise and then assessed behavioural indicators of tinnitus alongside measures of auditory cortex activity.

The findings confirmed that blast exposure produced signs consistent with tinnitus in the animals and was associated with increased (hyperactive) activity in the auditory cortex. This added to a body of animal research linking auditory cortex changes to noise-induced tinnitus.

Animal models are an important tool for studying mechanisms that cannot easily be examined in humans, but findings in rats do not translate directly to human treatment. The study is also from 2017, meaning it represents a point in an established line of research rather than a new direction. The auditory cortex hyperactivity associated with noise-induced tinnitus is already a recognised phenomenon in the field. What remains unresolved is how to translate that mechanistic knowledge into effective, targeted treatments for people.