Objectives Misophonia is a highly prevalent yet understudied condition characterized by aversion toward particular environmental sounds. Oral/nasal sounds (e.g., chewing, breathing) have been the focus of research, but variable experiences warrant an objective investigation. Experiment 1 asked whether human‐produced oral/nasal sounds were more aversive than human‐produced nonoral/nasal sounds and non‐human/nature sounds. Experiment 2 additionally asked whether machine‐learning algorithms could predict the presence and severity of misophonia. Method Sounds were presented to individuals with misophonia (Exp.1: N = 48, Exp.2: N = 45) and members of the general population (Exp.1: N = 39, Exp.2: N = 61). Aversiveness ratings to each sound were self‐reported. Results Sounds from all three source categories—not just oral/nasal sounds—were rated as significantly more aversive to individuals with misophonia than controls. Further, modeling all sources classified misophonia with 89% accuracy and significantly predicted misophonia severity ( r = 0.75). Conclusions Misophonia should be conceptualized as more than an aversion to oral/nasal sounds, which has implications for future diagnostics and experimental consistency moving forward.
No takes yet. Share an insight, caveat, or question.
Hansen et al. (2021) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: