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[Abstract Title]. - Society for Neuroscience

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Poster<br />

277. Voluntary Movement: Cortical Planning and Execution II<br />

Time: Sunday, November 16, 2008, 1:00 pm - 5:00 pm<br />

Program#/Poster#: 277.8/KK34<br />

Topic: D.17.b. Cortical planning and execution<br />

Support: Patterson Trust<br />

Princeton University<br />

<strong>Title</strong>: Imaging the micro-representation of the motor repertoire with cellular resolution in the<br />

cortex of awake mice<br />

Authors: *D. A. DOMBECK 1,2 , D. W. TANK 1,2 ;<br />

1 Mol Bio, 2 Princeton Neurosci. Inst., Princeton Univ., Princeton, NJ<br />

<strong>Abstract</strong>: Intracortical micro-stimulation (ICMS) studies in mammalian motor cortex have<br />

demonstrated that a macroscopic ethological organization exists in which subregions emphasize<br />

different ethologically relevant categories of complex movements (Graziano, Ann. Rev.<br />

Neurosci, 2006). Because in vivo microscopy can provide an unbiased view of the population<br />

code within the cortical microcircuitry, we used our recently developed methods (Dombeck et.<br />

al, Neuron, 2007) to investigate the representation of complex mouse movements at the<br />

microscopic scale. We optically recorded the activity of layer 2/3 neurons in the <strong>for</strong>elimb motor<br />

cortex (identified by ICMS) in mobile, head-restrained mice during two distinct complex<br />

movements (running and grooming); the head-restrained mice remained mobile because their<br />

limbs were resting on a spherical treadmill. Neural activity was monitored at cellular resolution,<br />

during running and grooming, using two-photon microscopy measurements of calcium transients<br />

from populations bolus loaded with Calcium Green-1-AM. The timing of the two movements,<br />

recorded with a CCD camera, were converted into state vectors which were then cross-correlated<br />

with the fluorescence traces from the ~100-200 neurons in the ~200-300 micron fields of view.<br />

Different subpopulations of neurons were observed: those with activity patterns correlating<br />

primarily to running, primarily to grooming, or to both movements. When the neurons within an<br />

image were coded according to the magnitude of their movement correlations, the separate<br />

subpopulations of neurons were found to be spatially ordered: movement correlated neurons<br />

were more likely to be physically near neurons with the same movement correlation, with<br />

neurons correlated to both movements mixed throughout the field. For example, grooming<br />

correlated neurons were found to be physically closer to other grooming correlated neurons<br />

rather than to running correlated neurons. Though sharp physical boundaries between the<br />

subpopulations and purely homogeneous spatially ordered subpopulations were rarely observed,

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