Algorithms (May 2018)

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

  • Lia M. Hocke,
  • Ibukunoluwa K. Oni,
  • Chris C. Duszynski,
  • Alex V. Corrigan,
  • Blaise deB. Frederick,
  • Jeff F. Dunn

DOI
https://doi.org/10.3390/a11050067
Journal volume & issue
Vol. 11, no. 5
p. 67

Abstract

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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 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.

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