Ultra-high density imaging arrays for diffuse optical tomography of human brain improve resolution, signal-to-noise, and information decoding
Markow, Z. E.; Trobaugh, J. W.; Richter, E. J.; Tripathy, K.; Rafferty, S. M.; Svoboda, A. M.; Schroeder, M. L.; Burns-Yocum, T. M.; Bergonzi, K. M.; Chevillet, M. A.; Mugler, E. M.; Eggebrecht, A. T.; Culver, J. P.
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Functional magnetic resonance imaging (fMRI) has dramatically advanced non-invasive human brain mapping and decoding. Functional near-infrared spectroscopy (fNIRS) and high-density diffuse optical tomography (HD-DOT) non-invasively measure blood oxygen fluctuations related to brain activity, like fMRI, at the brain surface, using more-lightweight equipment that circumvents ergonomic and logistical limitations of fMRI. HD-DOT grids have smaller inter-optode spacing ([~]13 mm) than sparse fNIRS ([~]30 mm) and therefore provide higher image quality, with spatial resolution [~]1/2 that of fMRI. Herein, simulations indicated reducing inter-optode spacing to 6.5 mm would further improve image quality and noise-resolution tradeoff, with diminishing returns below 6.5 mm. We then constructed an ultra-high-density DOT system (6.5-mm spacing) with 140 dB dynamic range that imaged stimulus-evoked activations with 30-50% higher spatial resolution and repeatable multi-focal activity with excellent agreement with participant-matched fMRI. Further, this system decoded visual stimulus position with 19-35% lower error than previous HD-DOT, throughout occipital cortex.
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