Literature DB >> 12364526

Learning of sequences of finger movements and timing: frontal lobe and action-oriented representation.

Katsuyuki Sakai1, Narender Ramnani, Richard E Passingham.   

Abstract

Motor sequence learning involves learning of a sequence of effectors with which to execute a series of movements and learning of a sequence of timings at which to execute the movements. In this study, we have segregated the neural correlates of the two learning mechanisms. Moreover, we have found an interaction between the two learning mechanisms in the frontal areas, which we claim as suggesting action-oriented coding in the frontal lobe. We used positron emission tomography and compared three learning conditions with a visuo-motor control condition. In two learning conditions, the subjects learned either a sequence of finger movements with random timing or a sequence of timing with random use of fingers. In the third condition the subjects learned to execute a sequence of specific finger movements at specific timing; we argue that it was only in this condition that the motor sequence was coded as an action-oriented representation. By looking for condition by session interactions (learning vs. control conditions over sessions), we have removed nonspecific time effects and identified areas that showed a learning-related increment of activation during learning. Learning of a finger sequence was associated with an increment of activation in the right intraparietal sulcus region and medial parietal cortex, whereas learning of a timing sequence was associated with an increment of activation in the lateral cerebellum, suggesting separate mechanisms for learning effector and temporal sequences. The left intraparietal sulcus region showed an increment of activation in learning of both finger and timing sequences, suggesting an overlap between the two learning mechanisms. We also found that the mid-dorsolateral prefrontal cortex, together with the medial and lateral premotor areas, became increasingly active when subjects learned a sequence that specified both fingers and timing, that is, when subjects were able to prepare specific motor action. These areas were not active when subjects learned a sequence that specified fingers or timing alone, that is, when subjects were still dependent on external stimuli as to the timing or fingers with which to execute the movements. Frontal areas may integrate the effector and temporal information of a motor sequence and implement an action-oriented representation so as to perform a motor sequence accurately and quickly. We also found that the mid-dorsolateral prefrontal cortex was distinguished from the ventrolateral prefrontal cortex and anterior fronto-polar cortex, which showed sustained activity throughout learning sessions and did not show either an increment or decrement of activation.

Entities:  

Mesh:

Year:  2002        PMID: 12364526     DOI: 10.1152/jn.2002.88.4.2035

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  30 in total

1.  Learning multi-finger synergies: an uncontrolled manifold analysis.

Authors:  Ning Kang; Minoru Shinohara; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2004-03-20       Impact factor: 1.972

2.  Distinct neural systems underlie learning visuomotor and spatial representations of motor skills.

Authors:  Michael W Parsons; Deborah L Harrington; Stephen M Rao
Journal:  Hum Brain Mapp       Date:  2005-03       Impact factor: 5.038

3.  Pouring or chilling a bottle of wine: an fMRI study on the prospective planning of object-directed actions.

Authors:  M van Elk; S Viswanathan; H T van Schie; H Bekkering; S T Grafton
Journal:  Exp Brain Res       Date:  2012-02-18       Impact factor: 1.972

4.  How the brain handles temporally uncoupled bimanual movements.

Authors:  Ingo G Meister; Henrik Foltys; Cecile Gallea; Mark Hallett
Journal:  Cereb Cortex       Date:  2010-03-31       Impact factor: 5.357

5.  Shared brain areas but not functional connections controlling movement timing and order.

Authors:  Gaëtan Garraux; Christopher McKinney; Tao Wu; Kenji Kansaku; Guido Nolte; Mark Hallett
Journal:  J Neurosci       Date:  2005-06-01       Impact factor: 6.167

6.  Increased cerebellar activation during sequence learning in DYT1 carriers: an equiperformance study.

Authors:  Maren Carbon; Maria Felice Ghilardi; Miklos Argyelan; Vijay Dhawan; Susan B Bressman; David Eidelberg
Journal:  Brain       Date:  2007-10-18       Impact factor: 13.501

7.  Relation of ordinal position signals to the expectation of reward and passage of time in four areas of the macaque frontal cortex.

Authors:  Tamara K Berdyyeva; Carl R Olson
Journal:  J Neurophysiol       Date:  2011-03-09       Impact factor: 2.714

8.  Predicting and memorizing observed action: differential premotor cortex involvement.

Authors:  Waltraud Stadler; Ricarda I Schubotz; D Yves von Cramon; Anne Springer; Markus Graf; Wolfgang Prinz
Journal:  Hum Brain Mapp       Date:  2011-05       Impact factor: 5.038

9.  Brain regions involved in human movement perception: a quantitative voxel-based meta-analysis.

Authors:  Marie-Hélène Grosbras; Susan Beaton; Simon B Eickhoff
Journal:  Hum Brain Mapp       Date:  2011-03-09       Impact factor: 5.038

10.  Comparison of error-amplification and haptic-guidance training techniques for learning of a timing-based motor task by healthy individuals.

Authors:  Marie-Hélène Milot; Laura Marchal-Crespo; Christopher S Green; Steven C Cramer; David J Reinkensmeyer
Journal:  Exp Brain Res       Date:  2009-09-29       Impact factor: 1.972

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