Abstract
Recent advances in optical neuroimaging systems as a functional interface enhance our understanding of neuronal activity in the brain. High density diffuse optical topography (HD-DOT) uses multi-distance overlapped channels to improve the spatial resolution of images comparable to functional magnetic resonance imaging (fMRI). The topology of the source and detector (SD) array directly impacts the quality of the hemodynamic reconstruction in HD-DOT imaging modality. In this work, the effect of different SD configurations on the quality of cerebral hemodynamic recovery is investigated by presenting a simulation setup based on the analytical approach. Given that the SD arrangement determines the elements of the Jacobian matrix, we conclude that the more individual components in this matrix, the better the retrieval quality. The results demonstrate that the multi-distance multi-directional (MDMD) arrangement produces more unique elements in the Jacobian array. Consequently, the inverse problem can accurately retrieve the brain activity of diffuse optical topography data.
Highlights
Recent developments in functional neuroimaging systems quantitively enhance our understanding of spatially and temporally distributed neural activity in the brain [1,2]
An innovative simulation setup proposed for the performance assessment of a variety of sources and detectors toward the rebuilding of cerebral hemodynamics
The result of simulation indicates that raising the number of multi-distance and multi-directional overlapped channels increase the accuracy of brain hemodynamic reconstruction
Summary
Recent developments in functional neuroimaging systems quantitively enhance our understanding of spatially and temporally distributed neural activity in the brain [1,2]. The fNIRS is an optical neuroimaging technology that is radiation-free, relatively inexpensive, compatible with implanted electronic devices, and portable and can wirelessly record brain activity [7,8,9,10]. HD-DOT allows brain activity to be mapped in 3D by creating overlaps between the fNIRS channels. This method uses high-density SD arrays to improve the spatial resolution that is comparable to fMRI [10]
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