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Research Article

Cortical activity during motor execution, motor imagery, and imagery-based online feedback

Kai J. Miller, Gerwin Schalk, Eberhard E. Fetz, Marcel den Nijs, Jeffrey G. Ojemann, and Rajesh P. N. Rao
  1. Departments of aNeurobiology and Behavior,
  2. bPhysics,
  3. dPhysiology and Biophysics,
  4. eNeurological Surgery, and
  5. fComputer Science and Engineering, University of Washington, Seattle, WA 98195; and
  6. cWadsworth Center, New York State Department of Health, Albany, NY 12201

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PNAS March 2, 2010 107 (9) 4430-4435; https://doi.org/10.1073/pnas.0913697107
Kai J. Miller
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  • For correspondence: kjmiller@u.washington.edu rao@cs.washington.edu
Gerwin Schalk
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Eberhard E. Fetz
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Marcel den Nijs
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Jeffrey G. Ojemann
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Rajesh P. N. Rao
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  • For correspondence: kjmiller@u.washington.edu rao@cs.washington.edu
  1. Edited* by Riitta Hari, Helsinki University of Technology, Espoo, Finland, and approved January 14, 2010 (received for review November 26, 2009)

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Abstract

Imagery of motor movement plays an important role in learning of complex motor skills, from learning to serve in tennis to perfecting a pirouette in ballet. What and where are the neural substrates that underlie motor imagery-based learning? We measured electrocorticographic cortical surface potentials in eight human subjects during overt action and kinesthetic imagery of the same movement, focusing on power in “high frequency” (76–100 Hz) and “low frequency” (8–32 Hz) ranges. We quantitatively establish that the spatial distribution of local neuronal population activity during motor imagery mimics the spatial distribution of activity during actual motor movement. By comparing responses to electrocortical stimulation with imagery-induced cortical surface activity, we demonstrate the role of primary motor areas in movement imagery. The magnitude of imagery-induced cortical activity change was ∼25% of that associated with actual movement. However, when subjects learned to use this imagery to control a computer cursor in a simple feedback task, the imagery-induced activity change was significantly augmented, even exceeding that of overt movement.

  • brain–computer interface
  • electrocorticography
  • primary motor cortex
  • learning
  • plasticity

Footnotes

  • 1To whom correspondence may be addressed. E-mail: kjmiller{at}u.washington.edu or rao{at}cs.washington.edu.
  • Author contributions: K.J.M., G.S., E.E.F., M.d.N., J.O., and R.P.N.R. designed research; K.J.M. and J.G.O. performed research; K.J.M. and G.S. contributed new reagents/analytic tools; K.J.M. and G.S. analyzed data; and K.J.M., G.S., E.E.F., J.G.O., and R.P.N.R. wrote the paper.

  • The authors declare no conflict of interest.

  • ↵*This Direct Submission article had a prearranged editor.

  • This article contains supporting information online at www.pnas.org/cgi/content/full/0913697107/DCSupplemental.

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Cortical activity during motor execution, motor imagery, and imagery-based online feedback
Kai J. Miller, Gerwin Schalk, Eberhard E. Fetz, Marcel den Nijs, Jeffrey G. Ojemann, Rajesh P. N. Rao
Proceedings of the National Academy of Sciences Mar 2010, 107 (9) 4430-4435; DOI: 10.1073/pnas.0913697107

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Cortical activity during motor execution, motor imagery, and imagery-based online feedback
Kai J. Miller, Gerwin Schalk, Eberhard E. Fetz, Marcel den Nijs, Jeffrey G. Ojemann, Rajesh P. N. Rao
Proceedings of the National Academy of Sciences Mar 2010, 107 (9) 4430-4435; DOI: 10.1073/pnas.0913697107
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Proceedings of the National Academy of Sciences: 107 (9)
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