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

• Published in: Algorithms Vol. 11; no. 5; p. 67
• Main Authors: Hocke, Lia M., Oni, Ibukunoluwa K., Duszynski, Chris C., Corrigan, Alex V., Frederick, Blaise deB, Dunn, Jeff F.
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.05.2018
• Subjects: channel exclusion; functional Near-Infrared Spectroscopy; GLM; Hemoglobin; LF de-noising; motion correction; Post-processing; pre-processing; single subject; Visual effects; post-processing; channel exclusion; single subject; LF de-noising; functional Near-Infrared Spectroscopy; GLM; pre-processing; motion correction

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 se...