1-s2.0-S2589004223003760-main.pdf (3.88 MB)
A phenomenological cartography of misophonia and other forms of sound intolerance
journal contribution
posted on 2023-06-10, 06:38 authored by Nora Andermane, Matilde Bauer, Ediz SohogluEdiz Sohoglu, Julia SimnerJulia Simner, Jamie WardJamie WardPeople with misophonia have strong aversive reactions to specific “trigger” sounds. Here we challenge this key idea of specificity. Machine learning was used to identify a misophonic profile from a multivariate sound-response pattern. Misophonia could be classified from most sounds (traditional triggers and non-triggers) and, moreover, cross-classification showed that the profile was largely transferable across sounds (rather than idiosyncratic for each sound). By splitting our participants in other ways, we were able to show—using the same approach—a differential diagnostic profile factoring in potential co-morbidities (autism, hyperacusis, ASMR). The broad autism phenotype was classified via aversions to repetitive sounds rather than the eating sounds most easily classified in misophonia. Within misophonia, the presence of hyperacusis and sound-induced pain had widespread effects across all sounds. Overall, we show that misophonia is characterized by a distinctive reaction to most sounds that ultimately becomes most noticeable for a sub-set of those sounds.
History
Publication status
- Published
File Version
- Published version
Journal
iScienceISSN
2589-0042Publisher
Elsevier BVExternal DOI
Issue
4Volume
26Page range
a106299 1-20Department affiliated with
- Psychology Publications
Full text available
- Yes
Peer reviewed?
- Yes