Near infrared spectroscopy (NIRS) combined with diffuse correlation spectroscopy (DCS) enable non-invasive, bedside assessment of brain blood flow and metabolism. In numerous disease states (e.g., stroke, traumatic brain injury) these hemodynamic parameters are deranged, and these derangements have diagnostic and/or prognostic value. However, to best utilize NIRS/DCS data to guide patient care, we need a mechanistic understanding of the molecular changes underlying hemodynamic and metabolic dysfunction. Using a mouse model of repetitive mild traumatic brain injury, we present an example of how preclinical studies with NIRS/DCS can aid in the interpretation and utility of clinical NIRS/DCS datasets.
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