It is well known that most movements improve with practice. However, the way the brain accomplishes this remains largely unknown. Functional magnetic resonance imaging (fMRI) has provided significant insights into brain mechanisms of cognition. In comparison, fMRI studies of motor learning and motor memory have been limited by the constrained space and the problem of unwanted head movements. As a result the great majority of fMRI studies of motor learning have investigated sequences of finger movements. To overcome these limitations, we have developed a novel MR-compatible wrist task to study two types of motor learning that undrlie our ability to accurately point to visual targets: (1) Motor skill learning - the ability to acquire new patterns of muscle activity so that movement accuracy increases without a reduction in speed. (2) Visuomotor adaptation - the ability to associate an already learned pattern of muscle activation with a new spatial goal. We will study these two types of learning with a baseline and a rotation condition, respectively. In the baseline condition, subjects make fast uncorrected pointing movements of the wrist to a series of 8 targets arrayed on a screen. Skill is the decrease in movement time (MT) and endpoint variability with practice. In the rotation condition, with the same target set, subjects initially make systematic 30? directional errors, which they reduce through adaptation. Importantly, we have developed a method that keeps MT and peak velocity constant so that any observed brain activation changes are attributable to learning and not performance changes. In addition, we will also examine the neural correlates of re-learning on a second day, differences between the dominant and non-dominant hand, mechanisms of motor interference, and degree of transfer of motor learning between arms. A better understanding of hemispheric contributions to motor learning and motor memory will offer insight into mechanisms of recovery after focal brain injury. We anticipate our approach will be applicable to patients in future studies.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
3R01NS052804-04S1
Application #
8084637
Study Section
Sensorimotor Integration Study Section (SMI)
Program Officer
Chen, Daofen
Project Start
2007-04-01
Project End
2010-09-30
Budget Start
2010-04-01
Budget End
2010-09-30
Support Year
4
Fiscal Year
2010
Total Cost
$32,421
Indirect Cost
Name
Columbia University (N.Y.)
Department
Neurology
Type
Schools of Medicine
DUNS #
621889815
City
New York
State
NY
Country
United States
Zip Code
10032
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Haith, Adrian M; Krakauer, John W (2013) Model-based and model-free mechanisms of human motor learning. Adv Exp Med Biol 782:1-21
Zhuang, Xiaoxi; Mazzoni, Pietro; Kang, Un Jung (2013) The role of neuroplasticity in dopaminergic therapy for Parkinson disease. Nat Rev Neurol 9:248-56

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