Temporo-cerebellar connectivity underlies timing constraints in audition
Abstract
The flexible and efficient adaptation to dynamic, rapid changes in the auditory environment likely involves generating and updating of internal models. Such models arguably exploit connections between the neocortex and the cerebellum, supporting proactive adaptation. Here we tested whether temporo-cerebellar disconnection is associated with the processing of sound at short-timescales. First, we identify lesion-specific deficits for the encoding of short timescale spectro-temporal non-speech and speech properties in patients with left posterior temporal cortex stroke. Second, using lesion- guided probabilistic tractography in healthy participants, we revealed bidirectional temporo-cerebellar connectivity with cerebellar dentate nuclei and crura I/II. These findings support the view that the encoding and modeling of rapidly modulated auditory spectro-temporal properties can rely on a temporo-cerebellar interface. We discuss these findings in view of the conjecture that proactive adaptation to a dynamic environment via internal models is a generalizable principle.
Data availability
There is restricted access to the data due to German legal regulations of patient protection.We have made all data which we can legally share accessible via figure share (link is included in the resource statement). We have provided all data (lesion data, scripts, behavioral data that allowed lesion-symptom mapping) in our figure share account for reproduction of the critical seed region for a tracking analysis.Anonymisation of MRI/DTI data is not allowed either through the ethics agreement nor the participants' consent. We cannot do anything about this as these are the legal regulations that we have to deal with. We have made a clear statement that we seek open dialogue about how we have analysed our data. Further, given the data that we have provided, any interested researcher can (1) approach us about our analysis, (2) can take a set of open source age-matched structural MRI/DTI data to replicated our results
Article and author information
Author details
Funding
Deutsche Forschungsgemeinschaft (DFG KO 2268/6-1)
- Sonja Kotz
Dissertation award University of Leipzig (none)
- Anika Stockert
Max-Planck-Gesellschaft (none)
- Sonja Kotz
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Reviewing Editor
- Timothy D Griffiths, University of Newcastle, United Kingdom
Ethics
Human subjects: The protocol of the current research was approved by the ethics committee of the University of Leipzig, Germany (Protocol Number: 953). All participants provided written, informed consent before the start of data collection.
Version history
- Preprint posted: February 7, 2021 (view preprint)
- Received: February 7, 2021
- Accepted: September 9, 2021
- Accepted Manuscript published: September 20, 2021 (version 1)
- Version of Record published: September 29, 2021 (version 2)
- Version of Record updated: September 30, 2021 (version 3)
Copyright
© 2021, Stockert et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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