Source: http://aoot.osa.org/boe/abstract.cfm?uri=boe-1-1-324
Timestamp: 2019-04-24 07:54:33+00:00

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Resting state connectivity aims to identify spontaneous cerebral hemodynamic fluctuations that reflect neuronal activity at rest. In this study, we investigated the spatial-temporal correlation of hemoglobin concentration signals over the whole head during the resting state. By choosing a source-detector pair as a seed, we calculated the correlation value between its time course and the time course of all other source-detector combinations, and projected them onto a topographic map. In all subjects, we found robust spatial interactions in agreement with previous fMRI and NIRS findings. Strong correlations between the two opposite hemispheres were seen for both sensorimotor and visual cortices. Correlations in the prefrontal cortex were more heterogeneous and dependent on the hemodynamic contrast. HbT provided robust, well defined maps, suggesting that this contrast may be used to better localize functional connectivity. The effects of global systemic physiology were also investigated, particularly low frequency blood pressure oscillations which give rise to broad regions of high correlation and mislead interpretation of the results. These results confirm the feasibility of using functional connectivity with optical methods during the resting state, and validate its use to investigate cortical interactions across the whole head.
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Fig. 1 (a) Probe geometry showing sources (x), detectors (o), and source-detector pairs we used for the analysis (dotted lines). Each channel was classified as part of one of the four lobes showed in the figure, in both hemispheres. (b) Picture of the probe on a subject, as an example. (c) Representative relative hemoglobin time-courses for a single channel of one subject that was used for correlation analysis.
Fig. 2 Average correlation maps during resting state in a subject for all the three hemoglobin contrasts when the seed was placed on (a) prefrontal, (b) sensorimotor, and (c) visual cortex. The position of the seed is indicated by the black circle, and the colorbar represents the correlation coefficients. Orientation of the head is indicated by the nose pointing up.
Fig. 3 Grand average of the symmetric correlation values obtained for the three main cortical regions measured, for each hemoglobin contrast. Correlation was calculated between a given seed time course and its corresponding contralateral channel, and then averaged over all possible seeds in each region. Error bars represent the standard deviation across all subjects.
Fig. 4 (a) Power spectrum of one channel during a single run after each pre-processing step performed, from the acquisition (raw data) to the time course used for analysis. (b) Average correlation maps for one subject after performing all pre-processing steps (bottow row), and with all steps but BP regression (top row). (c) Percentage of channels greater than or equal to a certain threshold correlation value in HbO maps, as function of the correlation values. Error bars represent standard deviation across all runs of all subjects.

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