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

Autor:	Lia M. Hocke, Ibukunoluwa K. Oni, Chris C. Duszynski, Alex V. Corrigan, Blaise deB. Frederick, Jeff F. Dunn
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	functional Near-Infrared Spectroscopy pre-processing post-processing channel exclusion motion correction LF de-noising GLM single subject Industrial engineering. Management engineering T55.4-60.8 Electronic computers. Computer science QA75.5-76.95
Zdroj:	Algorithms, Vol 11, Iss 5, p 67 (2018)
Druh dokumentu:	article
ISSN:	1999-4893
DOI:	10.3390/a11050067
Popis:	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.
Databáze:	Directory of Open Access Journals
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