Literature DB >> 34766394

Correlates of deviance detection in auditory brainstem responses of bats.

Johannes Wetekam1, Julio Hechavarría1, Luciana López-Jury1, Manfred Kössl1.   

Abstract

Identifying unexpected acoustic inputs, which allows to react appropriately to new situations, is of major importance for animals. Neural deviance detection describes a change of neural response strength to a stimulus solely caused by the stimulus' probability of occurrence. In the present study, we searched for correlates of deviance detection in auditory brainstem responses obtained in anaesthetised bats (Carollia perspicillata). In an oddball paradigm, we used two pure tone stimuli that represented the main frequencies used by the animal during echolocation (60 kHz) and communication (20 kHz). For both stimuli, we could demonstrate significant differences of response strength between deviant and standard response in slow and fast components of the auditory brainstem response. The data suggest the presence of correlates of deviance detection in brain stations below the inferior colliculus (IC), at the level of the cochlea nucleus and lateral lemniscus. Additionally, our results suggest that deviance detection is mainly driven by repetition suppression in the echolocation frequency band, while in the communication band, a deviant-related enhancement of the response plays a more important role. This finding suggests a contextual dependence of the mechanisms underlying subcortical deviance detection. The present study demonstrates the value of auditory brainstem responses for studying deviance detection and suggests that auditory specialists, such as bats, use different frequency-specific strategies to ensure an appropriate sensation of unexpected sounds.
© 2021 The Authors. European Journal of Neuroscience published by Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

Entities:  

Keywords:  ABR; MMN; SSA; prediction error; repetition suppression

Mesh:

Year:  2022        PMID: 34766394     DOI: 10.1111/ejn.15527

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  1 in total

1.  How the bat brain detects novel sounds (commentary on Wetekam et al., 2021).

Authors:  Manuel S Malmierca
Journal:  Eur J Neurosci       Date:  2022-02-01       Impact factor: 3.698

  1 in total

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