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Neurophotonics • Open Access

Isolating the effects of surface vasculature in infant neuroimaging using short-distance optical channels: a combination of local and global effects
Author(s): Lauren L. Emberson; Stephen L. Crosswhite; James R. Goodwin; Andrew J. Berger; Richard N. Aslin

Paper Abstract

Functional near-infrared spectroscopy (fNIRS) records hemodynamic changes in the cortex arising from neurovascular coupling. However, (noninvasive) fNIRS recordings also record surface vascular signals arising from noncortical sources (e.g., in the skull, skin, dura, and other tissues located between the sensors and the brain). A current and important focus in the fNIRS community is determining how to remove these noncortical vascular signals to reduce noise and to prevent researchers from erroneously attributing responses to cortical sources. The current study is the first to test a popular method for removing signals from the surface vasculature (removing short, 1 cm, channel recordings from long, 3 cm, channel recordings) in human infants, a population frequently studied using fNIRS. We find evidence that this method does remove surface vasculature signals and indicates the presence of both local and global surface vasculature signals. However, we do not find that the removal of this information changes the statistical inferences drawn from the data. This latter result not only questions the importance of removing surface vasculature responses for empiricists employing this method, but also calls for future research using other tasks (e.g., ones with a weaker initial result) with this population and possibly additional methods for removing signals arising from the surface vasculature in infants.

Paper Details

Date Published: 19 April 2016
PDF: 12 pages
Neurophoton. 3(3) 031406 doi: 10.1117/1.NPh.3.3.031406
Published in: Neurophotonics Volume 3, Issue 3
Show Author Affiliations
Lauren L. Emberson, Univ. of Rochester (United States)
Princeton Univ (United States)
Stephen L. Crosswhite, Univ. of Rochester (United States)
James R. Goodwin, Univ. of Rochester (United States)
Andrew J. Berger, Univ. of Rochester (United States)
Richard N. Aslin, Univ. of Rochester (United States)

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