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Automated Processing of fNIRS Data—A Visual Guide to the Pitfalls and Consequences

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With the rapid increase in new fNIRS users employing commercial software, there is a concern that many studies are biased by suboptimal processing methods. The purpose of this study is… Click to show full abstract

With the rapid increase in new fNIRS users employing commercial software, there is a concern that many studies are biased by suboptimal processing methods. The purpose of this study is to provide a visual reference showing the effects of different processing methods, to help inform researchers in setting up and evaluating a processing pipeline. We show the significant impact of pre- and post-processing choices and stress again how important it is to combine data from both hemoglobin species in order to make accurate inferences about the activation site.

Keywords: automated processing; data visual; visual guide; processing fnirs; guide pitfalls; fnirs data

Journal Title: Algorithms
Year Published: 2018

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