Misophonia vs Hyperacusis: Brain Responses to Sound

A new fMRI study of 91 young adults has identified distinct and overlapping brain patterns in misophonia and hyperacusis. The work, led by Dr. Namitha Jain and Dr. Fatima Husain at the University of Illinois Urbana-Champaign, provides neural evidence that these often-confused sound sensitivity disorders involve different processing pathways.

Listening to Emotion in the Brain Scanner

The researchers categorized participants into four groups: misophonia, hyperacusis, comorbid misophonia and hyperacusis, and controls without sound sensitivity. Using task-based functional magnetic resonance imaging (fMRI), they had participants listen to 90 emotionally valenced sounds from a standardized database. The sounds ranged from pleasant to neutral to unpleasant, including aversive sounds like screams. During scanning, participants rated the emotional valence of each sound.

This method allowed the team to compare real-time brain activation and functional connectivity—how different brain regions communicate—across the groups. They focused on responses to unpleasant versus neutral sounds to pinpoint differences related to aversive sound processing. The study is published in Cognitive, Affective, & Behavioral Neuroscience (DOI: 10.3758/s13415-026-01435-z).

Visual Brain Areas Hyperactive in Misophonia

One of the most striking findings was in the misophonia group. Regardless of whether they also had hyperacusis, individuals with misophonia showed hyperactivation in visual association areas of the brain when processing unpleasant sounds compared to controls. Simultaneously, they exhibited reduced connectivity between the brain’s salience network—which flags important stimuli—and visual networks.

“This suggests atypical cross-modal sensory involvement,” the authors write. The brain’s visual regions are unusually engaged during aversive sound processing, while the normal communication between networks that prioritize stimuli and process sensory information is weakened. This neural pattern may reflect the highly specific, often visual-triggered nature of misophonic reactions, where seeing the source of a sound (like someone chewing) can intensify the distress. This adds a new dimension to previous research, such as that discussed in Misophonia vs Hyperacusis: Brain fMRI Study.

Impaired Frontal Regulation Marks Hyperacusis

The hyperacusis group showed a different neural signature. Their primary difference was reduced connectivity between key hubs of the salience network and frontal control regions in the brain. The frontal cortex is central for top-down regulation—modulating emotional responses and exerting cognitive control over reactions.

This impaired connectivity indicates that individuals with hyperacusis may have a reduced ability to regulate their intense reactions to loud or intense sounds. Interestingly, the misophonia group did not show this same deficit when processing generally unpleasant sounds; their connectivity to frontal control regions was preserved. This neural distinction helps explain why hyperacusis reactions are often tied to sound intensity and physical discomfort, while misophonia reactions are more tied to specific sound contexts and meanings.

Comorbid Group Shows Combined Patterns

Participants who had both misophonia and hyperacusis displayed neural patterns associated with each disorder. Their brain scans showed evidence of both the visual area hyperactivation/reduced salience-visual connectivity seen in misophonia, and the reduced salience-frontal connectivity seen in hyperacusis.

This finding is clinically important. It confirms that comorbid presentation is not simply a more severe version of one disorder, but a distinct condition with a combined neural profile. This understanding could help explain the complex symptom overlap many patients experience and underscores the need for assessments that screen for both conditions separately.

Practical Implications for Diagnosis and Treatment

These neural distinctions offer a biological basis for differentiating misophonia and hyperacusis, which are often conflated in clinical settings. The findings suggest that effective interventions might need to target different mechanisms.

For misophonia, treatments that address the cross-modal visual-sound association or retrain the salience network’s response to specific triggers could be explored. For hyperacusis, approaches that strengthen top-down frontal regulation, such as cognitive control training or neuromodulation targeting frontal connectivity, might be more relevant. The comorbid condition would likely require a combined approach.

Future research combining this neural data with behavioral outcomes, as the authors suggest, will be essential for building mechanistic models and guiding targeted therapies. These models could integrate with other emerging approaches, such as those using AI Music Therapy for Tinnitus and Hearing Disorders, to personalize sound-based interventions. Furthermore, understanding these neural pathways may help refine diagnostic tools, potentially complementing data-driven methods like those in Random Forests for Hearing Disorder Diagnosis.

The work by Jain, Husain, and colleagues moves the field beyond symptom description to identifying underlying brain networks. This is a necessary step toward developing biologically informed treatments for these debilitating sound sensitivity conditions.