Subjective, chronic tinnitus, the perception of sound in the absence of an external source, commonly occurs with many comorbidities, making it a difficult condition to study. Hearing loss, often believed to be the driver for tinnitus, is perhaps one of the most significant comorbidities. In the present study, white matter correlates of tinnitus and hearing loss were examined. Diffusion imaging data were collected from 96 participants—43 with tinnitus and hearing loss (TINHL), 17 with tinnitus and normal hearing thresholds (TINNH), 17 controls with hearing loss (CONHL) and 19 controls with normal hearing (CONNH). Fractional anisotropy (FA), mean diffusivity and probabilistic tractography analyses were conducted on the diffusion imaging data. Analyses revealed differences in FA and structural connectivity specific to tinnitus, hearing loss, and both conditions when comorbid, suggesting the existence of tinnitus-specific neural networks. These findings also suggest that age plays an important role in neural plasticity, and thus may account for some of the variability of results in the literature. However, this effect is not seen in tractography results, where a sensitivity analysis revealed that age did not impact measures of network integration or segregation. Based on these results and previously reported findings, we propose an updated model of tinnitus, wherein the internal capsule and corpus callosum play important roles in the evaluation of, and neural plasticity in response to tinnitus.
Purpose
The tinnitus patient population is inherently heterogeneous. Although tinnitus often co-occurs with hearing loss and is more frequent among elderly people, it affects all age groups with varying hearing sensitivity. In addition, tinnitus severity and patients' reaction to tinnitus vary across individuals. Regardless of the metrics used to measure tinnitus handicap, on one end of the severity spectrum are the patients who have managed to habituate to their tinnitus; at the other end are those who are extremely bothered by tinnitus, and often have a confluence of related comorbidities of mood disorders. Understanding the neural correlates of tinnitus while accounting for such variations could benefit clinicians, helping them modify and objectively monitor tinnitus management strategies. Brain imaging, specifically magnetic resonance imaging, is an excellent tool to study the functional and structural properties of the neural networks involved in tinnitus and tinnitus severity.
Method
In this article, we review studies that employ magnetic resonance imaging-based neuroimaging techniques including resting-state functional connectivity, voxel-based morphometry, and diffusion tensor imaging to investigate underlying functional and structural neural correlates of tinnitus to address overarching dimensions of a person's reaction to tinnitus, namely, audition, emotion, and attention.
Results
We discuss findings from brain imaging studies in the context of theories and models proposed for tinnitus generation and persistence.
Conclusion
These studies have revealed tinnitus-related alteration in the auditory, emotion, and attention neural networks. Future research is required to better understand these changes in the neural circuitry based on tinnitus comorbidities and severity, and to refine existing theoretical models.
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