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The Journal of Neuroscience, March 11, 2009, 29(10):3132-3137; doi:10.1523/JNEUROSCI.5506-08.2009

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Brief Communications
Decoupling the Cortical Power Spectrum Reveals Real-Time Representation of Individual Finger Movements in Humans

K. J. Miller,¹ S. Zanos,² E. E. Fetz,² M. den Nijs,¹ and J. G. Ojemann³

Departments of ¹Physics and ²Physiology and Biophysics, and ³Center for Neuroscience, Seattle Children's Research Institute and Department of Neurological Surgery, University of Washington, Seattle, Washington 98195

Correspondence should be addressed to Kai J. Miller, Department of Physics, Box 351560, University of Washington, Seattle, WA 98195. Email: kjmiller{at}u.washington.edu

During active movement the electric potentials measured from the surface of the motor cortex exhibit consistent modulation, revealing two distinguishable processes in the power spectrum. At frequencies <40 Hz, narrow-band power decreases occur with movement over widely distributed cortical areas, while at higher frequencies there are spatially more focal power increases. These high-frequency changes have commonly been assumed to reflect synchronous rhythms, analogous to lower-frequency phenomena, but it has recently been proposed that they reflect a broad-band spectral change across the entire spectrum, which could be obscured by synchronous rhythms at low frequencies. In 10 human subjects performing a finger movement task, we demonstrate that a principal component type of decomposition can naively separate low-frequency narrow-band rhythms from an asynchronous, broad-spectral, change at all frequencies between 5 and 200 Hz. This broad-spectral change exhibited spatially discrete representation for individual fingers and reproduced the temporal movement trajectories of different individual fingers.

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Received Nov. 14, 2008; revised Jan. 14, 2009; accepted Feb. 9, 2009.

Correspondence should be addressed to Kai J. Miller, Department of Physics, Box 351560, University of Washington, Seattle, WA 98195. Email: kjmiller{at}u.washington.edu

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Does Asynchronous Neuronal Activity Average out on a Macroscopic Scale?

Tjeerd W. Boonstra, Sanne Houweling, and Michael Muskulus
J. Neurosci. 2009 29: 8871-8874. [Full Text]  

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