Analysis of task-evoked systemic interference in fNIRS measurements: Insights from fMRI

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dc.authoridERDOĞAN, SİNEM BURCU/0000-0001-6028-3477|Akin, Ata/0000-0002-1773-0857|YUCEL, MERYEM/0000-0002-4291-2847
dc.authorwosidERDOĞAN, SİNEM BURCU/CAH-7756-2022
dc.authorwosidAkin, Ata/AAF-2494-2019
dc.contributor.authorErdogan, Sinem B.
dc.contributor.authorYucel, Meryem A.
dc.contributor.authorAkin, Ata
dc.date.accessioned2024-07-18T20:55:16Z
dc.date.available2024-07-18T20:55:16Z
dc.date.issued2014
dc.departmentİstanbul Bilgi Üniversitesien_US
dc.description.abstractFunctional near infrared spectroscopy (fNIRS) is a promising method for monitoring cerebral hemodynamics with a wide range of clinical applications. INIRS signals are contaminated with systemic physiological interferences from both the brain and superficial tissues, resulting in a poor estimation of the task related neuronal activation. In this study, we use the anatomical resolution of functional magnetic resonance imaging (fMRI) to extract scalp and brain vascular signals separately and construct an optically weighted spatial average of the fMRI blood oxygen level-dependent (BOLD) signal for characterizing the scalp signal contribution to fNIRS measurements. We introduce an extended superficial signal regression (ESSR) method for canceling physiology-based systemic interference where the effects of cerebral and superficial systemic interference are treated separately. We apply and validate our method on the optically weighted BOLD signals, which are obtained by projecting the fMRI image onto optical measurement space by use of the optical forward problem. The performance of ESSR method in removing physiological artifacts is compared to i) a global signal regression (GSR) method and ii) a superficial signal regression (SSR) method. The retrieved signals from each method are compared with the neural signals that represent the 'ground truth' brain activation cleaned from cerebral systemic fluctuations. We report significant improvements in the recovery of task induced neural activation with the ESSR method when compared to the other two methods as reflected in the Pearson R2 coefficient and mean square error (MSE) metrics (two tailed paired t-tests, p <0.05). The signal quality is enhanced most when ESSR method is applied with higher spatial localization, lower inter-trial variability, a clear canonical waveform and higher contrast-to-noise (CNR) improvement (60%). Our findings suggest that, during a cognitive task i) superficial scalp signal contribution to fNIRS signals varies significantly among different regions on the forehead and ii) using an average scalp measurement together with a local measure of superficial hemodynamics better accounts for the systemic interference inherent in the brain as well as superficial scalp tissue. We conclude that maximizing the overlap between the optical pathlength of superficial and deeper penetration measurements is of crucial importance for accurate recovery of the evoked hemodynamic response in (NIRS recordings. (C) 2013 Elsevier Inc. All rights reserved.en_US
dc.description.sponsorshipBURF [11XD4]; TUBITAK [112E034]en_US
dc.description.sponsorshipThis study is sponsored in part by BURF Project No.: 11XD4 and in part by TUBITAK Project No.: 112E034. Authors would like to thank Deniz Nevsehirli, Yasemin Keskin Ergen and Ali Bayram for their help in fMRI data collection, and the Photon Migration Imaging Laboratory at Massachusetts General Hospital for the Monte Carlo simulation code.en_US
dc.identifier.doi10.1016/j.neuroimage.2013.10.024
dc.identifier.endpage504en_US
dc.identifier.issn1053-8119
dc.identifier.issn1095-9572
dc.identifier.pmid24148922en_US
dc.identifier.scopus2-s2.0-84892522855en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage490en_US
dc.identifier.urihttps://doi.org/10.1016/j.neuroimage.2013.10.024
dc.identifier.urihttps://hdl.handle.net/11411/8805
dc.identifier.volume87en_US
dc.identifier.wosWOS:000330554000044en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherAcademic Press Inc Elsevier Scienceen_US
dc.relation.ispartofNeuroimageen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHemodynamic Responseen_US
dc.subjectSystemic İnterferenceen_US
dc.subjectFunctional Near İnfrared Spectroscopyen_US
dc.subjectMagnetic Resonance İmagingen_US
dc.subjectPhysiological Artifact Removalen_US
dc.subjectCognitive Tasken_US
dc.subjectNear-Infrared Spectroscopyen_US
dc.subjectNirs Hemodynamic-Responsesen_US
dc.subjectFunctional Brainen_US
dc.subjectIn-Vivoen_US
dc.subjectCerebral Hemodynamicsen_US
dc.subjectPhoton Migrationen_US
dc.subjectBold Signalen_US
dc.subjectOptical Spectroscopyen_US
dc.subjectOxygen-Saturationen_US
dc.subjectBlood Oxygenationen_US
dc.titleAnalysis of task-evoked systemic interference in fNIRS measurements: Insights from fMRIen_US
dc.typeArticleen_US

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