Literature DB >> 21181462

Cerebellar internal models: implications for the dexterous use of tools.

Hiroshi Imamizu1, Mitsuo Kawato.   

Abstract

Humans have remarkable abilities in the dexterous use of tools to extend their physical capabilities. Although previous neuropsychological and functional neuroimaging studies have mainly focused on the contribution of frontal-parietal cerebral networks to skills for tool use, dense anatomical and functional connections are known to exist between the frontal-parietal regions and the lateral cerebellum, suggesting that the cerebellum also supports the information processing necessary for the dexterous use of tools. In this article, we review functional and structural imaging studies reporting that the cerebellum is related to the learning acquisition of neural mechanisms representing input-output properties of controlled objects, including tools. These studies also suggest that such mechanisms are modularly organized in the cerebellum corresponding to the different properties of objects, such as kinematic or dynamic properties and types of tools, and that they enable humans to flexibly cope with discrete changes in objects and environments by reducing interference and combining acquired modules. Based on these studies, we propose a hypothesis that the cerebellum contributes to the skillful use of tools by representing the input-output properties of tools and providing information on the prediction of the sensory consequences of manipulation with the parietal regions, which are related to multisensory processing, and information on the necessary control of tools with the premotor regions, which contribute to the control of hand movements.

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Year:  2012        PMID: 21181462     DOI: 10.1007/s12311-010-0241-2

Source DB:  PubMed          Journal:  Cerebellum        ISSN: 1473-4222            Impact factor:   3.847


  61 in total

1.  Composition and decomposition of internal models in motor learning under altered kinematic and dynamic environments.

Authors:  J R Flanagan; E Nakano; H Imamizu; R Osu; T Yoshioka; M Kawato
Journal:  J Neurosci       Date:  1999-10-15       Impact factor: 6.167

2.  Independent learning of internal models for kinematic and dynamic control of reaching.

Authors:  J W Krakauer; M F Ghilardi; C Ghez
Journal:  Nat Neurosci       Date:  1999-11       Impact factor: 24.884

3.  A model of the coupling between brain electrical activity, metabolism, and hemodynamics: application to the interpretation of functional neuroimaging.

Authors:  Agnès Aubert; Robert Costalat
Journal:  Neuroimage       Date:  2002-11       Impact factor: 6.556

4.  Synaptic excitation produces a long-lasting rebound potentiation of inhibitory synaptic signals in cerebellar Purkinje cells.

Authors:  M Kano; U Rexhausen; J Dreessen; A Konnerth
Journal:  Nature       Date:  1992-04-16       Impact factor: 49.962

5.  Functional magnetic resonance imaging of cerebellar activation during the learning of a visuomotor dissociation task.

Authors:  D Flament; J M Ellermann; S G Kim; K Ugurbil; T J Ebner
Journal:  Hum Brain Mapp       Date:  1996       Impact factor: 5.038

Review 6.  Physiology of functional magnetic resonance imaging: energetics and function.

Authors:  Ikuhiro Kida; Fahmeed Hyder
Journal:  Methods Mol Med       Date:  2006

7.  Gray and white matter changes associated with tool-use learning in macaque monkeys.

Authors:  M M Quallo; C J Price; K Ueno; T Asamizuya; K Cheng; R N Lemon; A Iriki
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-09       Impact factor: 11.205

8.  Climbing fibre induced depression of both mossy fibre responsiveness and glutamate sensitivity of cerebellar Purkinje cells.

Authors:  M Ito; M Sakurai; P Tongroach
Journal:  J Physiol       Date:  1982-03       Impact factor: 5.182

9.  The inferior parietal lobule is the target of output from the superior colliculus, hippocampus, and cerebellum.

Authors:  D M Clower; R A West; J C Lynch; P L Strick
Journal:  J Neurosci       Date:  2001-08-15       Impact factor: 6.167

10.  Temporal firing patterns of Purkinje cells in the cerebellar ventral paraflocculus during ocular following responses in monkeys II. Complex spikes.

Authors:  Y Kobayashi; K Kawano; A Takemura; Y Inoue; T Kitama; H Gomi; M Kawato
Journal:  J Neurophysiol       Date:  1998-08       Impact factor: 2.714

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  27 in total

1.  Functional imaging and the cerebellum: recent developments and challenges. Editorial.

Authors:  Christophe Habas
Journal:  Cerebellum       Date:  2012-06       Impact factor: 3.847

Review 2.  From movement to thought: executive function, embodied cognition, and the cerebellum.

Authors:  Leonard F Koziol; Deborah Ely Budding; Dana Chidekel
Journal:  Cerebellum       Date:  2012-06       Impact factor: 3.847

3.  Cerebellum as a forward but not inverse model in visuomotor adaptation task: a tDCS-based and modeling study.

Authors:  Fatemeh Yavari; Shirin Mahdavi; Farzad Towhidkhah; Mohammad-Ali Ahmadi-Pajouh; Hamed Ekhtiari; Mohammad Darainy
Journal:  Exp Brain Res       Date:  2015-12-26       Impact factor: 1.972

4.  Consensus paper: the cerebellum's role in movement and cognition.

Authors:  Leonard F Koziol; Deborah Budding; Nancy Andreasen; Stefano D'Arrigo; Sara Bulgheroni; Hiroshi Imamizu; Masao Ito; Mario Manto; Cherie Marvel; Krystal Parker; Giovanni Pezzulo; Narender Ramnani; Daria Riva; Jeremy Schmahmann; Larry Vandervert; Tadashi Yamazaki
Journal:  Cerebellum       Date:  2014-02       Impact factor: 3.847

5.  Distinct roles of brain activity and somatotopic representation in pathophysiology of focal dystonia.

Authors:  Kazumasa Uehara; Shinichi Furuya; Hidemi Numazawa; Kahori Kita; Takashi Sakamoto; Takashi Hanakawa
Journal:  Hum Brain Mapp       Date:  2018-12-20       Impact factor: 5.038

6.  Consensus Paper: Cerebellum and Social Cognition.

Authors:  Frank Van Overwalle; Mario Manto; Zaira Cattaneo; Silvia Clausi; Chiara Ferrari; John D E Gabrieli; Xavier Guell; Elien Heleven; Michela Lupo; Qianying Ma; Marco Michelutti; Giusy Olivito; Min Pu; Laura C Rice; Jeremy D Schmahmann; Libera Siciliano; Arseny A Sokolov; Catherine J Stoodley; Kim van Dun; Larry Vandervert; Maria Leggio
Journal:  Cerebellum       Date:  2020-12       Impact factor: 3.847

Review 7.  Mechanism of augmented exercise hyperpnea in chronic heart failure and dead space loading.

Authors:  Chi-Sang Poon; Chung Tin
Journal:  Respir Physiol Neurobiol       Date:  2012-12-27       Impact factor: 1.931

8.  Generalized role for the cerebellum in encoding internal models: evidence from semantic processing.

Authors:  Torgeir Moberget; Eva Hilland Gullesen; Stein Andersson; Richard B Ivry; Tor Endestad
Journal:  J Neurosci       Date:  2014-02-19       Impact factor: 6.167

9.  Changes in Brain Activation Associated with Spontaneous Improvization and Figural Creativity After Design-Thinking-Based Training: A Longitudinal fMRI Study.

Authors:  Manish Saggar; Eve-Marie Quintin; Nicholas T Bott; Eliza Kienitz; Yin-Hsuan Chien; Daniel W-C Hong; Ning Liu; Adam Royalty; Grace Hawthorne; Allan L Reiss
Journal:  Cereb Cortex       Date:  2017-07-01       Impact factor: 5.357

10.  Feedforward and Feedback Control Share an Internal Model of the Arm's Dynamics.

Authors:  Rodrigo S Maeda; Tyler Cluff; Paul L Gribble; J Andrew Pruszynski
Journal:  J Neurosci       Date:  2018-10-24       Impact factor: 6.167

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