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  Temporo-cerebellar connectivity underlies timing constraints in audition

Stockert, A., Schwartze, M., Poeppel, D., Anwander, A., & Kotz, S. A. (2021). Temporo-cerebellar connectivity underlies timing constraints in audition. eLife, 10: e67303. doi:10.7554/eLife.67303.

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https://elifesciences.org/articles/67303 (Publisher version)
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 Creators:
Stockert, Anika1, Author           
Schwartze, Michael2, Author           
Poeppel, David3, Author
Anwander, Alfred2, Author           
Kotz, Sonja A.4, Author           
Affiliations:
1Department of Neurology, University Hospital Leipzig, Germany, ou_persistent22              
2Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_634551              
3Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Frankfurt, Germany, ou_persistent22              
4Department of Neuropsychology and Psychopharmacology, Maastricht University, the Netherlands, ou_persistent22              

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Free keywords: Human; Neuroscience
 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.

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Language(s): eng - English
 Dates: 2021-02-072021-09-092021-09-20
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.7554/eLife.67303
PMID: 34542407
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Project name : -
Grant ID : KO 2268/6-1
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Funding organization : Deutsche Forschungsgemeinschaft (DFG)

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Title: eLife
Source Genre: Journal
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 10 Sequence Number: e67303 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X