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Neurophotonics • Open Access

Comparison of oxyhemoglobin and deoxyhemoglobin signal reliability with and without global mean removal for digit manipulation motor tasks
Author(s): Swethasri Dravida; Jack Adam Noah; Xian Zhang; Joy Hirsch

Paper Abstract

Functional near-infrared spectroscopy (fNIRS) could be well suited for clinical use, such as measuring neural activity before and after treatment; however, reliability and specificity of fNIRS signals must be ensured so that differences can be attributed to the intervention. This study compared the test–retest and longitudinal reliability of oxyhemoglobin and deoxyhemoglobin signals before and after spatial filtering. In the test–retest experiment, 14 participants were scanned on 2 days while performing four right-handed digit-manipulation tasks. Group results revealed greater test–retest reliability for oxyhemoglobin than deoxyhemoglobin signals and greater spatial specificity for the deoxyhemoglobin signals. To further characterize reliability, a longitudinal experiment was conducted in which two participants repeated the same motor tasks for 10 days. Beta values from the two tasks with the lowest and highest test–retest reliability, respectively, in the spatially filtered deoxyhemoglobin signal are reported as representative findings. Both test–retest and longitudinal methods confirmed that task and signal type influence reliability. Oxyhemoglobin signals were more reliable overall than deoxyhemoglobin, and removal of the global mean reduced reliability of both signals. Findings are consistent with the suggestion that systemic components most prevalent in the oxyhemoglobin signal may inflate reliability relative to the deoxyhemoglobin signal, which is less influenced by systemic factors.

Paper Details

Date Published: 14 September 2017
PDF: 14 pages
Neurophoton. 5(1) 011006 doi: 10.1117/1.NPh.5.1.011006
Published in: Neurophotonics Volume 5, Issue 1
Show Author Affiliations
Swethasri Dravida, Yale School of Medicine (United States)
Jack Adam Noah, Yale School of Medicine (United States)
Xian Zhang, Yale School of Medicine (United States)
Joy Hirsch, Yale School of Medicine (United States)

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