Literature DB >> 11500799

Long-term adaptation to dynamics of reaching movements: a PET study.

R Nezafat1, R Shadmehr, H H Holcomb.   

Abstract

Positron emission tomography (PET) was used to examine changes in the cerebellum as subjects learned to make movements with their right arm while holding the handle of a robot that produced a force field. Brain images were acquired during learning and then during recall at 2 and 4 weeks. We also acquired images during a control task where the force field was not learnable and subjects did not show any improvements across sessions. During the 1st day, we observed that motor errors decreased from the control condition to the learning condition. However, regional cerebral blood flow (rCBF) in the posterior region of the right cerebellar cortex initially increased from the control condition and then gradually declined with reductions in motor error. Correspondingly, rCBF in the ipsilateral deep cerebellar nuclei (DCN) initially decreased from the control condition and then increased with reductions in motor error. If measures of rCBF mainly reflect presynaptic activity of neurons, this result predicts that DCN neurons fire with a pattern that starts high in the control task then decreases as learning proceeds. Similarly, Purkinje cells should generally have their lowest activity in the control task. This pattern is consistent with neurophysiological recordings that find that cerebellar activity during early learning of a motor task may mainly reflect changes in coactivation of muscles of the limbs, rather than a learning specific signal. By the end of the first session, motor errors had reached a minimum and no further improvements were observed. However, across the weeks a region in the anterior cerebellar cortex showed gradual decreases in rCBF that could not be attributed to changes in motor performance. Because patterns of rCBF in the cortex and nuclei were highly anti-correlated, we used structural equation modeling to estimate how synaptic activity in the cerebellar cortex influenced synaptic activity in the DCN. We found a negative correlation with a strength that significantly increased during the 4 weeks. This suggests that, during long-term recall, the same input to the cerebellar cortex would produce less synaptic activity at the DCN, possibly because of reduced cerebellar cortex output to the DCN.

Entities:  

Mesh:

Year:  2001        PMID: 11500799     DOI: 10.1007/s002210100787

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  51 in total

1.  Experience-dependent changes in cerebellar contributions to motor sequence learning.

Authors:  Julien Doyon; Allen W Song; Avi Karni; Francois Lalonde; Michelle M Adams; Leslie G Ungerleider
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-22       Impact factor: 11.205

Review 2.  The role of the cerebellum in preparing responses to predictable sensory events.

Authors:  Philip D Nixon
Journal:  Cerebellum       Date:  2003       Impact factor: 3.847

3.  Generalization as a behavioral window to the neural mechanisms of learning internal models.

Authors:  Reza Shadmehr
Journal:  Hum Mov Sci       Date:  2004-11       Impact factor: 2.161

Review 4.  Consolidation of motor memory.

Authors:  John W Krakauer; Reza Shadmehr
Journal:  Trends Neurosci       Date:  2005-11-14       Impact factor: 13.837

Review 5.  The cerebellum may implement the appropriate coupling of sensory inputs and motor responses: evidence from vestibular physiology.

Authors:  D Manzoni
Journal:  Cerebellum       Date:  2005       Impact factor: 3.847

6.  Impedance control and internal model use during the initial stage of adaptation to novel dynamics in humans.

Authors:  Theodore E Milner; David W Franklin
Journal:  J Physiol       Date:  2005-06-16       Impact factor: 5.182

7.  Functional imaging of changes in cerebellar activity related to learning during a novel eye-hand tracking task.

Authors:  R C Miall; E W Jenkinson
Journal:  Exp Brain Res       Date:  2005-08-05       Impact factor: 1.972

8.  Distinct basal ganglia territories are engaged in early and advanced motor sequence learning.

Authors:  Stéphane Lehéricy; Habib Benali; Pierre-François Van de Moortele; Mélanie Pélégrini-Issac; Tobias Waechter; Kamil Ugurbil; Julien Doyon
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-17       Impact factor: 11.205

9.  BOLD coherence reveals segregated functional neural interactions when adapting to distinct torque perturbations.

Authors:  Eugene Tunik; Paul J Schmitt; Scott T Grafton
Journal:  J Neurophysiol       Date:  2007-01-03       Impact factor: 2.714

10.  Contributions of the cerebellum and the motor cortex to acquisition and retention of motor memories.

Authors:  David J Herzfeld; Damien Pastor; Adrian M Haith; Yves Rossetti; Reza Shadmehr; Jacinta O'Shea
Journal:  Neuroimage       Date:  2014-05-09       Impact factor: 6.556

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