Pressure Modulation Algorithm to Separate Cerebral Hemodynamic Signals from Extracerebral Artifacts

Overview

Journal Neurophotonics

Date 2015 Aug 25

PMID 26301255

Citations 62

Authors

Wesley B Baker

Ashwin B Parthasarathy

Tiffany S Ko

David R Busch

Kenneth Abramson

Shih-Yu Tzeng

Rickson C Mesquita

Turgut Durduran

Joel H Greenberg

David K Kung

Arjun G Yodh

Affiliations

Soon will be listed here.

Abstract

We introduce and validate a pressure measurement paradigm that reduces extracerebral contamination from superficial tissues in optical monitoring of cerebral blood flow with diffuse correlation spectroscopy (DCS). The scheme determines subject-specific contributions of extracerebral and cerebral tissues to the DCS signal by utilizing probe pressure modulation to induce variations in extracerebral blood flow. For analysis, the head is modeled as a two-layer medium and is probed with long and short source-detector separations. Then a combination of pressure modulation and a modified Beer-Lambert law for flow enables experimenters to linearly relate differential DCS signals to cerebral and extracerebral blood flow variation without a priori anatomical information. We demonstrate the algorithm's ability to isolate cerebral blood flow during a finger-tapping task and during graded scalp ischemia in healthy adults. Finally, we adapt the pressure modulation algorithm to ameliorate extracerebral contamination in monitoring of cerebral blood oxygenation and blood volume by near-infrared spectroscopy.

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