Temporo-cerebellar connectivity underlies timing constraints in audition

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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

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Anika Stockert

Department of Neurology, University of Leipzig, Leipzig, Germany

Competing interests
The authors declare that no competing interests exist.
Michael Schwartze

Neuropsyhology and Psychopharmacology, Maastricht University, Maastricht, Netherlands

Competing interests
The authors declare that no competing interests exist.
David Poeppel

Neuroscience, Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany

Competing interests
The authors declare that no competing interests exist.
Alfred Anwander

Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

Competing interests
The authors declare that no competing interests exist.

"This ORCID iD identifies the author of this article:" 0000-0002-4861-4808
Sonja Kotz

Neuropsychology and Psychopharmacology, Maastricht University, Maastricht, Netherlands

For correspondence
sonja.kotz@maastrichtuniversity.nl

Competing interests
The authors declare that no competing interests exist.

"This ORCID iD identifies the author of this article:" 0000-0002-5894-4624

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.

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.

Copyright

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.