Literature DB >> 20044898

Cerebro-cerebellar interactions underlying temporal information processing.

Kenji Aso1, Takashi Hanakawa, Toshihiko Aso, Hidenao Fukuyama.   

Abstract

The neural basis of temporal information processing remains unclear, but it is proposed that the cerebellum plays an important role through its internal clock or feed-forward computation functions. In this study, fMRI was used to investigate the brain networks engaged in perceptual and motor aspects of subsecond temporal processing without accompanying coprocessing of spatial information. Direct comparison between perceptual and motor aspects of time processing was made with a categorical-design analysis. The right lateral cerebellum (lobule VI) was active during a time discrimination task, whereas the left cerebellar lobule VI was activated during a timed movement generation task. These findings were consistent with the idea that the cerebellum contributed to subsecond time processing in both perceptual and motor aspects. The feed-forward computational theory of the cerebellum predicted increased cerebro-cerebellar interactions during time information processing. In fact, a psychophysiological interaction analysis identified the supplementary motor and dorsal premotor areas, which had a significant functional connectivity with the right cerebellar region during a time discrimination task and with the left lateral cerebellum during a timed movement generation task. The involvement of cerebro-cerebellar interactions may provide supportive evidence that temporal information processing relies on the simulation of timing information through feed-forward computation in the cerebellum.

Mesh:

Year:  2010        PMID: 20044898     DOI: 10.1162/jocn.2010.21429

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  14 in total

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2.  Long latency electromyographic response induced by transcranial magnetic stimulation over the cerebellum preferentially appears during continuous visually guided manual tracking task.

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Journal:  Curr Opin Behav Sci       Date:  2016-04

4.  Modulation of cerebellar brain inhibition during temporal adaptive learning in a coincident timing task.

Authors:  Shin-Ya Tanaka; Masato Hirano; Kozo Funase
Journal:  Exp Brain Res       Date:  2020-10-31       Impact factor: 1.972

5.  Consensus paper: Language and the cerebellum: an ongoing enigma.

Authors:  Peter Mariën; Herman Ackermann; Michael Adamaszek; Caroline H S Barwood; Alan Beaton; John Desmond; Elke De Witte; Angela J Fawcett; Ingo Hertrich; Michael Küper; Maria Leggio; Cherie Marvel; Marco Molinari; Bruce E Murdoch; Roderick I Nicolson; Jeremy D Schmahmann; Catherine J Stoodley; Markus Thürling; Dagmar Timmann; Ellen Wouters; Wolfram Ziegler
Journal:  Cerebellum       Date:  2014-06       Impact factor: 3.847

6.  The Neurophysiology of the Cerebellum in Emotion.

Authors:  Michael Adamaszek; Kenneth C Kirkby
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

7.  Individual differences in the morphometry and activation of time perception networks are influenced by dopamine genotype.

Authors:  Martin Wiener; Yune-Sang Lee; Falk W Lohoff; H Branch Coslett
Journal:  Neuroimage       Date:  2013-11-19       Impact factor: 6.556

8.  The 3-second rule in hereditary pure cerebellar ataxia: a synchronized tapping study.

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Journal:  PLoS One       Date:  2015-02-23       Impact factor: 3.240

Review 9.  Neural Markers Associated with the Temporal Deployment of Attention: A Systematic Review of Non-motor Psychophysical Measures Post-stroke.

Authors:  Essie Low; Robin Laycock; Sheila Crewther
Journal:  Front Hum Neurosci       Date:  2017-02-10       Impact factor: 3.169

10.  Impaired Spatio-Temporal Predictive Motor Timing Associated with Spinocerebellar Ataxia Type 6.

Authors:  Robin Broersen; Yoshiyuki Onuki; Abdel R Abdelgabar; Cullen B Owens; Samuel Picard; Jessica Willems; Henk-Jan Boele; Valeria Gazzola; Ysbrand D Van der Werf; Chris I De Zeeuw
Journal:  PLoS One       Date:  2016-08-29       Impact factor: 3.240

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