Literature DB >> 22442085

Cerebellar contributions to reach adaptation and learning sensory consequences of action.

Jun Izawa1, Sarah E Criscimagna-Hemminger, Reza Shadmehr.   

Abstract

When we use a novel tool, the motor commands may not produce the expected outcome. In healthy individuals, with practice the brain learns to alter the motor commands. This change depends critically on the cerebellum as damage to this structure impairs adaptation. However, it is unclear precisely what the cerebellum contributes to the process of adaptation in human motor learning. Is the cerebellum crucial for learning to associate motor commands with novel sensory consequences, called forward model, or is the cerebellum important for learning to associate sensory goals with novel motor commands, called inverse model? Here, we compared performance of cerebellar patients and healthy controls in a reaching task with a gradual perturbation schedule. This schedule allowed both groups to adapt their motor commands. Following training, we measured two kinds of behavior: in one case, people were presented with reach targets near the direction in which they had trained. The resulting generalization patterns of patients and controls were similar, suggesting comparable inverse models. In the second case, participants reached without a target and reported the location of their hand. In controls, the pattern of change in reported hand location was consistent with simulation results of a forward model that had learned to associate motor commands with new sensory consequences. In patients, this change was significantly smaller. Therefore, in our sample of patients, we observed that while adaptation of motor commands can take place despite cerebellar damage, cerebellar integrity appears critical for learning to predict visual sensory consequences of motor commands.

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Year:  2012        PMID: 22442085      PMCID: PMC3326584          DOI: 10.1523/JNEUROSCI.6353-11.2012

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  38 in total

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Journal:  Curr Opin Neurobiol       Date:  1999-12       Impact factor: 6.627

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Journal:  Neural Netw       Date:  1999-10

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Journal:  Nature       Date:  2004-01-15       Impact factor: 49.962

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Authors:  Erin K Cressman; Denise Y P Henriques
Journal:  J Neurophysiol       Date:  2010-02-03       Impact factor: 2.714

7.  How each movement changes the next: an experimental and theoretical study of fast adaptive priors in reaching.

Authors:  Timothy Verstynen; Philip N Sabes
Journal:  J Neurosci       Date:  2011-07-06       Impact factor: 6.167

8.  Use-dependent and error-based learning of motor behaviors.

Authors:  Jörn Diedrichsen; Olivier White; Darren Newman; Níall Lally
Journal:  J Neurosci       Date:  2010-04-14       Impact factor: 6.167

9.  The cerebellum updates predictions about the visual consequences of one's behavior.

Authors:  Matthis Synofzik; Axel Lindner; Peter Thier
Journal:  Curr Biol       Date:  2008-06-03       Impact factor: 10.834

10.  The intrinsic value of visual information affects saccade velocities.

Authors:  Minnan Xu-Wilson; David S Zee; Reza Shadmehr
Journal:  Exp Brain Res       Date:  2009-06-14       Impact factor: 1.972

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  120 in total

1.  Sensitivity to prediction error in reach adaptation.

Authors:  Mollie K Marko; Adrian M Haith; Michelle D Harran; Reza Shadmehr
Journal:  J Neurophysiol       Date:  2012-07-05       Impact factor: 2.714

2.  Split-belt walking adaptation recalibrates sensorimotor estimates of leg speed but not position or force.

Authors:  Alejandro Vazquez; Matthew A Statton; Stefanie A Busgang; Amy J Bastian
Journal:  J Neurophysiol       Date:  2015-09-30       Impact factor: 2.714

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

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Journal:  Exp Brain Res       Date:  2015-12-26       Impact factor: 1.972

4.  Generalization and transfer of contextual cues in motor learning.

Authors:  A M E Sarwary; D F Stegeman; L P J Selen; W P Medendorp
Journal:  J Neurophysiol       Date:  2015-07-08       Impact factor: 2.714

5.  Modulation of error-sensitivity during a prism adaptation task in people with cerebellar degeneration.

Authors:  Ritsuko Hanajima; Reza Shadmehr; Shinya Ohminami; Ryosuke Tsutsumi; Yuichiro Shirota; Takahiro Shimizu; Nobuyuki Tanaka; Yasuo Terao; Shoji Tsuji; Yoshikazu Ugawa; Motoaki Uchimura; Masato Inoue; Shigeru Kitazawa
Journal:  J Neurophysiol       Date:  2015-08-26       Impact factor: 2.714

6.  Brain-computer interface: current and emerging rehabilitation applications.

Authors:  Janis J Daly; Jane E Huggins
Journal:  Arch Phys Med Rehabil       Date:  2015-03       Impact factor: 3.966

7.  The cerebellum does more than sensory prediction error-based learning in sensorimotor adaptation tasks.

Authors:  Peter A Butcher; Richard B Ivry; Sheng-Han Kuo; David Rydz; John W Krakauer; Jordan A Taylor
Journal:  J Neurophysiol       Date:  2017-06-21       Impact factor: 2.714

8.  The cerebellum contributes to proprioception during motion.

Authors:  Heidi M Weeks; Amanda S Therrien; Amy J Bastian
Journal:  J Neurophysiol       Date:  2017-04-12       Impact factor: 2.714

9.  Reduced transfer of visuomotor adaptation is associated with aberrant sense of agency in schizophrenia.

Authors:  Sonia Bansal; Karthik G Murthy; Justin Fitzgerald; Barbara L Schwartz; Wilsaan M Joiner
Journal:  Neuroscience       Date:  2019-06-20       Impact factor: 3.590

10.  Explicit and implicit contributions to learning in a sensorimotor adaptation task.

Authors:  Jordan A Taylor; John W Krakauer; Richard B Ivry
Journal:  J Neurosci       Date:  2014-02-19       Impact factor: 6.167

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