Near-infrared spectroscopy (NIRS) combined with diffuse correlation spectroscopy (DCS) provides a non-invasive approach for monitoring oxygenation, cerebral blood flow (CBF) and the cerebral metabolic rate of oxygen (CMRO2); however, these methods are vulnerable to signal contamination from the extracerebral layer (ECL). The aim of this work was to evaluate methods of reducing the impact of this contamination using time-resolved (tr) NIRS and multi-distance (MD) DCS. Experiments involved healthy participants, and oxygenation and CBF changes in response to hypercapnia were measured. A pneumatic tourniquet was used to impede scalp blood flow to assess ECL contamination. Responses acquired with and without the tourniquet demonstrated that trNIRS technique substantially reduced scalp contributions in the oxygenation signals, while blood flow responses from the scalp and brain could be separated by analyzing MD DCS data with a multi-layer model. Finally, no change in CMRO2 during hypercapnia was observed, despite the large increases in CBF and oxygenation. These results indicate that NIRS/DCS techniques can accurately monitor cerebral blood flow and metabolism, highlighting the potential of these techniques for neuromonitoring
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