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Performance comparison of systemic activity correction in fNIRS for methods with and without short distance channels

Franziska Klein, Michael Lührs, Amaia Benitez-Andonegui, Pauline Roehn, Cornelia Kranczioch
doi: https://doi.org/10.1101/2022.03.31.486522
Franziska Klein
aNeurocognition and Functional Neurorehabilitation Group, Neuropsychology Lab, Carl von Ossietzky University of Oldenburg, Germany
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  • For correspondence: franziska.klein@uol.de
Michael Lührs
bFaculty of Psychology and Neuroscience, Maastricht University, The Netherlands
cBrain Innovation B.V., Maastricht, The Netherlands
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Amaia Benitez-Andonegui
dMEG Core Facility, National Institutes of Mental Health, Bethesda, MD, USA
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Pauline Roehn
aNeurocognition and Functional Neurorehabilitation Group, Neuropsychology Lab, Carl von Ossietzky University of Oldenburg, Germany
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Cornelia Kranczioch
aNeurocognition and Functional Neurorehabilitation Group, Neuropsychology Lab, Carl von Ossietzky University of Oldenburg, Germany
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Abstract

Significance Functional Near Infrared Spectroscopy (fNIRS) is a promising tool for neurofeedback (NFB) or brain computer interfaces (BCIs). However, fNIRS signals are typically highly contaminated by systemic activity (SA) artifacts and, if not properly corrected, NFB or BCIs run the risk of being based on noise instead of brain activity. This risk can likely be reduced by correcting for SA, in particular when short distance channels (SDCs) are available. Literature comparing correction methods with and without SDCs is still sparse, specifically comparisons considering single trials are lacking.

Aim This study aimed at comparing the performance of SA correction methods with and without SDCs.

Approach Semi-simulated and real motor task data of healthy elderly individuals were used. Correction methods without SDCs included a simple and a more advanced spatial filter. Correction methods with SDCs included a regression approach considering only the closest SDC and two GLM-based methods, one including all eight SDCs and one using only two a priori selected SDCs as regressors. All methods were compared to data uncorrected for SA and correction performance was assessed with quality measures quantifying signal improvement and spatial specificity at single trial level.

Results All correction methods were found to improve signal quality and to enhance spatial specificity as compared to the uncorrected data. Methods with SDCs usually outperformed methods without SDCs. Correction methods with-out SDCs tended to overcorrect the data. However, the exact pattern of results and the degree of differences observable between correction methods varied between semi-simulated and real data, and also between quality measures.

Conclusions Overall, results confirmed that both Δ[HbO] and Δ[HbR] are affected by SA and that correction meth-ods with SDCs outperform methods without SDCs. Nonetheless, improvements in signal quality can also be achieved without SDCs and should therefore be given priority over not correcting for SA.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted April 01, 2022.
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Performance comparison of systemic activity correction in fNIRS for methods with and without short distance channels
Franziska Klein, Michael Lührs, Amaia Benitez-Andonegui, Pauline Roehn, Cornelia Kranczioch
bioRxiv 2022.03.31.486522; doi: https://doi.org/10.1101/2022.03.31.486522
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Performance comparison of systemic activity correction in fNIRS for methods with and without short distance channels
Franziska Klein, Michael Lührs, Amaia Benitez-Andonegui, Pauline Roehn, Cornelia Kranczioch
bioRxiv 2022.03.31.486522; doi: https://doi.org/10.1101/2022.03.31.486522

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