Literature DB >> 9465007

Transition of brain activation from frontal to parietal areas in visuomotor sequence learning.

K Sakai1, O Hikosaka, S Miyauchi, R Takino, Y Sasaki, B Pütz.   

Abstract

We studied the neural correlates of visuomotor sequence learning using functional magnetic resonance imaging (fMRI). In the test condition, subjects learned, by trial and error, the correct order of pressing two buttons consecutively for 10 pairs of buttons (2 x 10 task); in the control condition, they pressed buttons in any order. Comparison between the test condition and the control condition revealed four brain areas specifically related to learning: the dorsolateral prefrontal cortex (DLPFC), the presupplementary motor area (pre-SMA), the precuneus, and the intraparietal sulcus (IPS). We found that the time course of activation during learning was different between these areas. To normalize the individual differences in the speed of learning, we classified the performance of each subject into three learning stages: early, intermediate, and advanced stages. Both the relative increase of signal intensity and the number of activated pixels within the four areas showed significant changes across the learning stages, with different time courses. The two frontal areas, DLPFC and pre-SMA, were activated in the earlier stages of learning, whereas the two parietal areas, precuneus and IPS, were activated in the later stages. Specifically, DLPFC, pre-SMA, precuneus, and IPS were most highly activated in the early stage, in both the early and intermediate stages, in the intermediate stage, and in both the intermediate and advanced stages, respectively. The results suggest that the acquisition of visuomotor sequences requires frontal activation, whereas the retrieval of visuomotor sequences requires parietal activation, which might reflect the transition from the declarative stage to the procedural stage.

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Mesh:

Year:  1998        PMID: 9465007      PMCID: PMC6792634     

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


  55 in total

1.  Rapid automated algorithm for aligning and reslicing PET images.

Authors:  R P Woods; S R Cherry; J C Mazziotta
Journal:  J Comput Assist Tomogr       Date:  1992 Jul-Aug       Impact factor: 1.826

Review 2.  Working memory.

Authors:  A Baddeley
Journal:  Science       Date:  1992-01-31       Impact factor: 47.728

3.  Cerebral structures participating in motor preparation in humans: a positron emission tomography study.

Authors:  M P Deiber; V Ibañez; N Sadato; M Hallett
Journal:  J Neurophysiol       Date:  1996-01       Impact factor: 2.714

4.  Learning of sequential movements in the monkey: process of learning and retention of memory.

Authors:  O Hikosaka; M K Rand; S Miyachi; K Miyashita
Journal:  J Neurophysiol       Date:  1995-10       Impact factor: 2.714

5.  Coding of intention in the posterior parietal cortex.

Authors:  L H Snyder; A P Batista; R A Andersen
Journal:  Nature       Date:  1997-03-13       Impact factor: 49.962

6.  Processing strategies for time-course data sets in functional MRI of the human brain.

Authors:  P A Bandettini; A Jesmanowicz; E C Wong; J S Hyde
Journal:  Magn Reson Med       Date:  1993-08       Impact factor: 4.668

7.  Inter-subject variability of cerebral activations in acquiring a motor skill: a study with positron emission tomography.

Authors:  G Schlaug; U Knorr; R Seitz
Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

8.  Corticocortical connections of area F3 (SMA-proper) and area F6 (pre-SMA) in the macaque monkey.

Authors:  G Luppino; M Matelli; R Camarda; G Rizzolatti
Journal:  J Comp Neurol       Date:  1993-12-01       Impact factor: 3.215

9.  Brain systems for encoding and retrieval of auditory-verbal memory. An in vivo study in humans.

Authors:  P C Fletcher; C D Frith; P M Grasby; T Shallice; R S Frackowiak; R J Dolan
Journal:  Brain       Date:  1995-04       Impact factor: 13.501

10.  Functional magnetic resonance imaging of human prefrontal cortex activation during a spatial working memory task.

Authors:  G McCarthy; A M Blamire; A Puce; A C Nobre; G Bloch; F Hyder; P Goldman-Rakic; R G Shulman
Journal:  Proc Natl Acad Sci U S A       Date:  1994-08-30       Impact factor: 11.205

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  105 in total

Review 1.  Functional magnetic resonance imaging: clinical applications and potential.

Authors:  P M Matthews; S Clare; J Adcock
Journal:  J Inherit Metab Dis       Date:  1999-06       Impact factor: 4.982

2.  Neural correlates of visual form and visual spatial processing.

Authors:  L Shen; X Hu; E Yacoub; K Ugurbil
Journal:  Hum Brain Mapp       Date:  1999       Impact factor: 5.038

3.  Functional networks in motor sequence learning: abnormal topographies in Parkinson's disease.

Authors:  T Nakamura; M F Ghilardi; M Mentis; V Dhawan; M Fukuda; A Hacking; J R Moeller; C Ghez; D Eidelberg
Journal:  Hum Brain Mapp       Date:  2001-01       Impact factor: 5.038

4.  Dynamic cortical and subcortical networks in learning and delayed recall of timed motor sequences.

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Journal:  J Neurosci       Date:  2002-02-15       Impact factor: 6.167

5.  Cerebellar projections to the prefrontal cortex of the primate.

Authors:  F A Middleton; P L Strick
Journal:  J Neurosci       Date:  2001-01-15       Impact factor: 6.167

6.  Missing the sweet spot disengagement in schizophrenia.

Authors:  Richard S E Keefe
Journal:  Psychiatry (Edgmont)       Date:  2006-07

7.  Chunking during human visuomotor sequence learning.

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Journal:  Exp Brain Res       Date:  2003-07-18       Impact factor: 1.972

8.  Probability detection mechanisms and motor learning.

Authors:  O V Lungu; T Wächter; T Liu; D T Willingham; J Ashe
Journal:  Exp Brain Res       Date:  2004-07-16       Impact factor: 1.972

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

Authors:  Michael W Parsons; Deborah L Harrington; Stephen M Rao
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Review 10.  The many facets of motor learning and their relevance for Parkinson's disease.

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Journal:  Clin Neurophysiol       Date:  2017-04-09       Impact factor: 3.708

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