Literature DB >> 10882792

Patterns of regional brain activation associated with different forms of motor learning.

M Ghilardi1, C Ghez, V Dhawan, J Moeller, M Mentis, T Nakamura, A Antonini, D Eidelberg.   

Abstract

To examine the variations in regional cerebral blood flow during execution and learning of reaching movements, we employed a family of kinematically and dynamically controlled motor tasks in which cognitive, mnemonic and executive features of performance were differentiated and characterized quantitatively. During 15O-labeled water positron emission tomography (PET) scans, twelve right-handed subjects moved their dominant hand on a digitizing tablet from a central location to equidistant targets displayed with a cursor on a computer screen in synchrony with a tone. In the preceding week, all subjects practiced three motor tasks: 1) movements to a predictable sequence of targets; 2) learning of new visuomotor transformations in which screen cursor motion was rotated by 30 degrees -60 degrees; 3) learning new target sequences by trial and error, by using previously acquired routines in a task placing heavy load on spatial working memory. The control condition was observing screen and audio displays. Subtraction images were analyzed with Statistical Parametric Mapping to identify significant brain activation foci. Execution of predictable sequences was characterized by a modest decrease in movement time and spatial error. The underlying pattern of activation involved primary motor and sensory areas, cerebellum, basal ganglia. Adaptation to a rotated reference frame, a form of procedural learning, was associated with decrease in the imposed directional bias. This task was associated with activation in the right posterior parietal cortex. New sequences were learned explicitly. Significant activation was found in dorsolateral prefrontal and anterior cingulate cortices. In this study, we have introduced a series of flexible motor tasks with similar kinematic characteristics and different spatial attributes. These tasks can be used to assess specific aspects of motor learning with imaging in health and disease.

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Year:  2000        PMID: 10882792     DOI: 10.1016/s0006-8993(00)02365-9

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  133 in total

1.  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

2.  Critical neural substrates for correcting unexpected trajectory errors and learning from them.

Authors:  Pratik K Mutha; Robert L Sainburg; Kathleen Y Haaland
Journal:  Brain       Date:  2011-11-10       Impact factor: 13.501

3.  Patterns of interference in sequence learning and prism adaptation inconsistent with the consolidation hypothesis.

Authors:  Kelly M Goedert; Daniel B Willingham
Journal:  Learn Mem       Date:  2002 Sep-Oct       Impact factor: 2.460

Review 4.  Action prediction in the cerebellum and in the parietal lobe.

Authors:  Sarah-Jayne Blakemore; Angela Sirigu
Journal:  Exp Brain Res       Date:  2003-08-29       Impact factor: 1.972

5.  Effects of Parkinson's disease on visuomotor adaptation.

Authors:  José L Contreras-Vidal; Ethan R Buch
Journal:  Exp Brain Res       Date:  2003-03-13       Impact factor: 1.972

6.  How is a motor skill learned? Change and invariance at the levels of task success and trajectory control.

Authors:  Lior Shmuelof; John W Krakauer; Pietro Mazzoni
Journal:  J Neurophysiol       Date:  2012-04-18       Impact factor: 2.714

7.  Neural substrates of graphomotor sequence learning: a combined FMRI and kinematic study.

Authors:  Bruce A Swett; Jose L Contreras-Vidal; Rasmus Birn; Allen Braun
Journal:  J Neurophysiol       Date:  2010-04-07       Impact factor: 2.714

8.  Dissociating the roles of the cerebellum and motor cortex during adaptive learning: the motor cortex retains what the cerebellum learns.

Authors:  Joseph M Galea; Alejandro Vazquez; Neel Pasricha; Jean-Jacques Orban de Xivry; Pablo Celnik
Journal:  Cereb Cortex       Date:  2010-12-07       Impact factor: 5.357

Review 9.  The many facets of motor learning and their relevance for Parkinson's disease.

Authors:  Lucio Marinelli; Angelo Quartarone; Mark Hallett; Giuseppe Frazzitta; Maria Felice Ghilardi
Journal:  Clin Neurophysiol       Date:  2017-04-09       Impact factor: 3.708

10.  Human adaptation to rotated vision: interplay of a continuous and a discrete process.

Authors:  Otmar Bock; Sylvie Abeele; Udo Eversheim
Journal:  Exp Brain Res       Date:  2003-09-04       Impact factor: 1.972

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