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Evidence for Cerebellar Contributions to Adaptive Plasticity in Speech Perception

  • Sara Guediche
  • , Lori L. Holt
  • , Patryk Laurent
  • , Sung Joo Lim
  • , Julie A. Fiez
  • University of Pittsburgh
  • Center for the Neural Basis of Cognition
  • Brown University
  • Carnegie Mellon University
  • Brain Corporation

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

Human speech perception rapidly adapts to maintain comprehension under adverse listening conditions. For example, with exposure listeners can adapt to heavily accented speech produced by a non-native speaker. Outside the domain of speech perception, adaptive changes in sensory and motor processing have been attributed to cerebellar functions. The present functional magnetic resonance imaging study investigates whether adaptation in speech perception also involves the cerebellum. Acoustic stimuli were distorted using a vocoding plus spectral-shift manipulation and presented in a word recognition task. Regions in the cerebellum that showed differences before versus after adaptation were identified, and the relationship between activity during adaptation and subsequent behavioral improvements was examined. These analyses implicated the right Crus I region of the cerebellum in adaptive changes in speech perception. A functional correlation analysis with the right Crus I as a seed region probed for cerebral cortical regions with covarying hemodynamic responses during the adaptation period. The results provided evidence of a functional network between the cerebellum and language-related regions in the temporal and parietal lobes of the cerebral cortex. Consistent with known cerebellar contributions to sensorimotor adaptation, cerebro-cerebellar interactions may support supervised learning mechanisms that rely on sensory prediction error signals in speech perception.

Original languageEnglish
Pages (from-to)1867-1877
Number of pages11
JournalCerebral Cortex
Volume25
Issue number7
DOIs
StatePublished - Jul 1 2015

Keywords

  • adaptation
  • cerebellum
  • fMRI
  • perceptual learning
  • supervised learning

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