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Modelling confounding effects from extracerebral contamination and systemic factors on functional near-infrared spectroscopy

Caldwell, M; Scholkmann, F; Wolf, U; Wolf, M; Elwell, C; Tachtsidis, I; (2016) Modelling confounding effects from extracerebral contamination and systemic factors on functional near-infrared spectroscopy. NeuroImage , 143 pp. 91-105. 10.1016/j.neuroimage.2016.08.058. Green open access

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Abstract

Haemodynamics-based neuroimaging is widely used to study brain function. Regional blood flow changes characteristic of neurovascular coupling provide an important marker of neuronal activation. However, changes in systemic physiological parameters such as blood pressure and concentration of CO2 can also affect regional blood flow and may confound haemodynamics-based neuroimaging. Measurements with functional near-infrared spectroscopy (fNIRS) may additionally be confounded by blood flow and oxygenation changes in extracerebral tissue layers. Here we investigate these confounds using an extended version of an existing computational model of cerebral physiology, 'BrainSignals'. Our results show that confounding from systemic physiological factors is able to produce misleading haemodynamic responses in both positive and negative directions. By applying the model to data from previous fNIRS studies, we demonstrate that such potentially deceptive responses can indeed occur in at least some experimental scenarios. It is therefore important to record the major potential confounders in the course of fNIRS experiments. Our model may then allow the observed behaviour to be attributed among the potential causes and hence reduce identification errors.

Type: Article
Title: Modelling confounding effects from extracerebral contamination and systemic factors on functional near-infrared spectroscopy
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neuroimage.2016.08.058
Publisher version: http://dx.doi.org/10.1016/j.neuroimage.2016.08.058
Language: English
Additional information: Copyright © 2016 The Authors. Published by Elsevier Inc. Open Access article funded by Wellcome Trust. Made available under a Creative Commons license (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Keywords: Brain, CO2 reactivity, Confounding, Functional near-infrared spectroscopy, Modelling, Scalp
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: http://discovery.ucl.ac.uk/id/eprint/1519758
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