Automated Processing of fNIRS Data-A Visual Guide to the Pitfalls and Consequences.
Algorithms. 2018 May;11(5):
Authors: Hocke LM, Oni IK, Duszynski CC, Corrigan AV, Frederick BD, Dunn JF
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.
PMID: 30906511 [PubMed]