Literature DB >> 9723934

Role of the striatum, cerebellum and frontal lobes in the automatization of a repeated visuomotor sequence of movements.

J Doyon1, R Laforce, G Bouchard, D Gaudreau, J Roy, M Poirier, P J Bédard, F Bédard, J P Bouchard.   

Abstract

Recently, Doyon et al. [20] demonstrated that lesions to both the striatum and to the cerebellum in humans produce a similar deficit in the learning of a repeated visuomotor sequence, which occurs late in the acquisition process. We now report the results of two experiments that were designed to examine whether this impairment was due to a lack of automatization of the repeating sequence of finger movements by using a dual-task paradigm and by testing for long-term retention of this skill. In Experiment 1, the performance of groups of patients with Parkinson's disease, or with damage to the cerebellum or to the frontal lobes, was compared to that of matched control subjects on the Repeated Sequence Test (primary task) and the Brooks' Matrices Test (secondary task). These two tests were administered concomitantly in both early and late learning phases of the visuomotor sequence. Overall, the groups did not differ in their ability to execute the primary task. By contrast, in accordance with the predictions, patients in Stages 2-3 of Parkinson's disease or with a cerebellar lesion failed to reveal the expected increase in performance on the secondary task seen with learning, suggesting that the latter groups of patients did not have access to the same level of residual cognitive resources to complete the matrices compared to controls. In Experiment 2, the same groups of patients and control subjects were retested again 10-18 months later. They were given four blocks of 100 trials each of the repeating sequence task, followed by a questionnaire and a self-generation task that measured their declarative knowledge of that sequence. The results revealed a long-term retention impairment only in patients who changed from Stage I to Stage II of the disease (suggesting further striatal degeneration) during the one-year interval, or who had a cerebellar lesion. By contrast, performance of the three clinical groups did not differ from controls on declarative memory tests. These findings suggest that both the striatum and the cerebellum participate to the automatization process during the late (slow) learning stage of a sequence of finger movements and that these structures also play a role in the neuronal mechanism subserving long-term retention of such a motor sequence behavior.

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Year:  1998        PMID: 9723934     DOI: 10.1016/s0028-3932(97)00168-1

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  38 in total

1.  Striatum forever, despite sequence learning variability: a random effect analysis of PET data.

Authors:  P Peigneux; P Maquet; T Meulemans; A Destrebecqz; S Laureys; C Degueldre; G Delfiore; J Aerts; A Luxen; G Franck; M Van der Linden; A Cleeremans
Journal:  Hum Brain Mapp       Date:  2000-08       Impact factor: 5.038

2.  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

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

Authors:  Virginia B Penhune; Julien Doyon
Journal:  J Neurosci       Date:  2002-02-15       Impact factor: 6.167

4.  Interleaved practice enhances skill learning and the functional connectivity of fronto-parietal networks.

Authors:  Chien-Ho Janice Lin; Ming-Chang Chiang; Barbara J Knowlton; Marco Iacoboni; Parima Udompholkul; Allan D Wu
Journal:  Hum Brain Mapp       Date:  2012-02-22       Impact factor: 5.038

Review 5.  The role of the basal ganglia in learning and memory: insight from Parkinson's disease.

Authors:  Karin Foerde; Daphna Shohamy
Journal:  Neurobiol Learn Mem       Date:  2011-09-16       Impact factor: 2.877

6.  Neural substrates of visuomotor learning based on improved feedback control and prediction.

Authors:  Scott T Grafton; Paul Schmitt; John Van Horn; Jörn Diedrichsen
Journal:  Neuroimage       Date:  2007-10-12       Impact factor: 6.556

7.  Sensorimotor adaptation in Parkinson's disease: evidence for a dopamine dependent remapping disturbance.

Authors:  F Paquet; M A Bedard; M Levesque; P L Tremblay; M Lemay; P J Blanchet; P Scherzer; S Chouinard; J Filion
Journal:  Exp Brain Res       Date:  2007-10-24       Impact factor: 1.972

8.  Modifications of the interactions in the motor networks when a movement becomes automatic.

Authors:  Tao Wu; Piu Chan; Mark Hallett
Journal:  J Physiol       Date:  2008-07-10       Impact factor: 5.182

9.  Serial reaction time performance following right parietal lobe damage.

Authors:  Marian E Berryhill; Yonatan S Mazuz; Ingrid R Olson
Journal:  J Neuropsychol       Date:  2008-09       Impact factor: 2.864

10.  Brain activations during motor imagery of locomotor-related tasks: a PET study.

Authors:  Francine Malouin; Carol L Richards; Philip L Jackson; Francine Dumas; Julien Doyon
Journal:  Hum Brain Mapp       Date:  2003-05       Impact factor: 5.038

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