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. Author manuscript; available in PMC: 2011 Jan 1.
Published in final edited form as: Neuroimage. 2009 Jul 23;49(1):568–577. doi: 10.1016/j.neuroimage.2009.07.023

Figure 1. Our high-density diffuse optical tomography system.

Figure 1

(a) Schematic showing the placement of the array of 24 sources (red) and 28 detectors (blue) over the occipital cortex of an adult. (b) Schematic showing the arrangement of first-and second-nearest neighbors within a subset of this array. Due to the high dynamic range of our system, all of these measurements are used within the 3D reconstruction. (c) A cross-section through the analytic solution to the diffusion approximation for a first-nearest neighbor (sensitivity in green) and a second-nearest neighbor (sensitivity in red) within a semi-infinite, homogeneous geometry. The sensitivity functions have been truncated at a fluence of 5% of maximum. Optodes are modeled as exponentially decaying line sources and have been integrated across the 3 mm optode diameter. (Note that these sensitivity functions appear broader and with less of a peak under the source than would be obtained using the traditional point source model.) Measurement depth-of-penetration increases with increasing source-detection separation. Since first-nearest neighbor measurements contain only limited sensitivity to the cortex (shown here beginning at 8 mm depth), their average can be used as measurement of superficial and systemic hemodynamics. This nuisance regressor was then removed from all channels to improve the system's brain specificity. (d) A neuronal activation in the visual cortex due to a visual stimulus placed over a schematic of the head to show direction-of-view. All images are posterior coronal projections of a cortical shell, as if looking at the surface of the brain from behind the subject with the scalp and skull removed.