Fast frequency modulation is encoded according to the listener expectations in the human subcortical auditory pathway
Ikusi/ Ireki
Data
2024Egilea
Tabas, Alejandro
Kiebel, Stefan
Marxen, Michael
von Kriegstein, Katharina
Alejandro Tabas, Stefan Kiebel, Michael Marxen, Katharina von Kriegstein; Fast frequency modulation is encoded according to the listener expectations in the human subcortical auditory pathway. Imaging Neuroscience 2024; 2 1–20. doi: https://doi.org/10.1162/imag_a_00292
Imaging Neuroscience
Imaging Neuroscience
Laburpena
Expectations aid and bias our perception. For instance, expected words are easier to recognise than unexpected words, particularly in noisy environments, and incorrect expectations can make us misunderstand our conversational partner. Expectations are combined with the output from the sensory pathways to form representations of auditory objects in the cerebral cortex. Previous literature has shown that expectations propagate further down to subcortical stations during the encoding of static pure tones. However, it is unclear whether expectations also drive the subcortical encoding of subtle dynamic elements of the acoustic signal that are not represented in the tonotopic axis. Here, we tested the hypothesis that subjective expectations drive the encoding of fast frequency modulation (FM) in the human subcortical auditory pathway. We used fMRI to measure neural responses in the human auditory midbrain (inferior colliculus) and thalamus (medial geniculate body). Participants listened to sequences of FM-sweeps for which they held different expectations based on the task instructions. We found robust evidence that the responses in auditory midbrain and thalamus encode the difference between the acoustic input and the subjective expectations of the listener. The results indicate that FM-sweeps are already encoded at the level of the human auditory midbrain and that encoding is mainly driven by subjective expectations. We conclude that the subcortical auditory pathway is integrated in the cortical network of predictive processing and that expectations are used to optimise the encoding of fast dynamic elements of the acoustic signal.