Literature DB >> 35927417

Respective Involvement of the Right Cerebellar Crus I and II in Syntactic and Semantic Processing for Comprehension of Language.

Hironori Nakatani1,2, Yuko Nakamura3,4, Kazuo Okanoya5,3,4,6,7.   

Abstract

The right posterolateral portions of the cerebellum (crus-I/II) are involved in language processing. However, their functional role in language remains unknown. The cerebellum is hypothesized to acquire an internal model that is a functional copy of mental representations in the cerebrum and to contribute to cognitive function. In this research, based on the cerebellar internal model hypothesis, we conducted task-based and resting-state functional magnetic resonance imaging (fMRI) experiments to investigate the role of the cerebellum in the syntactic and semantic aspects of comprehension of sentences. In a syntactic task, participants read sentences with center-embedded hierarchical structures. The hierarchical level-dependent activity was found in the right crus-I as well as Broca's area (p < 0.05, voxel-based small volume correction (SVC)). In a semantic task, the participants read three types of sentences for investigation of sentence-level, phrase-level, and word-level semantic processing. The semantic level-dependent activity was found in the right crus-II as well as in the left anterior temporal lobe and the left angular gyrus (p < 0.05, voxel-based SVC). Moreover, the right crus-I/II showed significant activity when the cognitive load was high. Resting-state fMRI demonstrated intrinsic functional connectivity between the right crus-I/II and language-related regions in the left cerebrum (p < 0.05, voxel-based SVC). These findings suggest that the right crus-I and crus-II are involved, respectively, in the syntactic and semantic aspects of sentence processing. The cerebellum assists processing of language in the cerebrum when the cognitive load is high.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Cerebellum; Functional connectivity; Functional magnetic resonance imagings; Internal model; Language

Year:  2022        PMID: 35927417     DOI: 10.1007/s12311-022-01451-y

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.648


  46 in total

1.  Historical review of the significance of the cerebellum and the role of Purkinje cells in motor learning.

Authors:  Masao Ito
Journal:  Ann N Y Acad Sci       Date:  2002-12       Impact factor: 5.691

Review 2.  The cerebellum, internal models and prediction in 'non-motor' aspects of language: A critical review.

Authors:  Georgios P D Argyropoulos
Journal:  Brain Lang       Date:  2015-08-28       Impact factor: 2.381

Review 3.  Bases and implications of learning in the cerebellum--adaptive control and internal model mechanism.

Authors:  Masao Ito
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Review 4.  Anatomical and physiological foundations of cerebellar information processing.

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Journal:  Nat Rev Neurosci       Date:  2005-04       Impact factor: 34.870

Review 5.  The primate cortico-cerebellar system: anatomy and function.

Authors:  Narender Ramnani
Journal:  Nat Rev Neurosci       Date:  2006-07       Impact factor: 34.870

Review 6.  Control of mental activities by internal models in the cerebellum.

Authors:  Masao Ito
Journal:  Nat Rev Neurosci       Date:  2008-04       Impact factor: 34.870

Review 7.  Cerebellum and nonmotor function.

Authors:  Peter L Strick; Richard P Dum; Julie A Fiez
Journal:  Annu Rev Neurosci       Date:  2009       Impact factor: 12.449

8.  Evidence for Hierarchical Cognitive Control in the Human Cerebellum.

Authors:  Anila M D'Mello; John D E Gabrieli; Derek Evan Nee
Journal:  Curr Biol       Date:  2020-04-09       Impact factor: 10.834

9.  Does the cerebellum contribute to mental skills?

Authors:  H C Leiner; A L Leiner; R S Dow
Journal:  Behav Neurosci       Date:  1986-08       Impact factor: 1.912

Review 10.  The cerebellum and cognitive function: 25 years of insight from anatomy and neuroimaging.

Authors:  Randy L Buckner
Journal:  Neuron       Date:  2013-10-30       Impact factor: 17.173

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