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

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...

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Bibliographic Details
Published inAlgorithms 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
LanguageEnglish
Published Switzerland MDPI AG 01.05.2018
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Summary: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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Author Contributions: L.M.H. conceived and designed the experiments, analyzed the data and wrote most of the paper; I.K.O. and A.V.C. performed the experiments and I.K.O. helped with the data conversion as well as contributed a figure; C.C.D. wrote the introduction of the paper and contributed to the discussion. J.F.D. and B.deB.F. contributed to analysis and interpretation of the data comparisons and provided funding.
ISSN:1999-4893
1999-4893
DOI:10.3390/a11050067