Open Access
17 June 2021 Guiding functional near-infrared spectroscopy optode-layout design using individual (f)MRI data: effects on signal strength
Amaia Benitez-Andonegui, Michael Lührs, Laurien Nagels-Coune, Dimo Ivanov, Rainer Goebel, Bettina Sorger
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Abstract

Significance: Designing optode layouts is an essential step for functional near-infrared spectroscopy (fNIRS) experiments as the quality of the measured signal and the sensitivity to cortical regions-of-interest depend on how optodes are arranged on the scalp. This becomes particularly relevant for fNIRS-based brain–computer interfaces (BCIs), where developing robust systems with few optodes is crucial for clinical applications.

Aim: Available resources often dictate the approach researchers use for optode-layout design. We investigated whether guiding optode layout design using different amounts of subject-specific magnetic resonance imaging (MRI) data affects the fNIRS signal quality and sensitivity to brain activation when healthy participants perform mental-imagery tasks typically used in fNIRS-BCI experiments.

Approach: We compared four approaches that incrementally incorporated subject-specific MRI information while participants performed mental-calculation, mental-rotation, and inner-speech tasks. The literature-based approach (LIT) used a literature review to guide the optode layout design. The probabilistic approach (PROB) employed individual anatomical data and probabilistic maps of functional MRI (fMRI)-activation from an independent dataset. The individual fMRI (iFMRI) approach used individual anatomical and fMRI data, and the fourth approach used individual anatomical, functional, and vascular information of the same subject (fVASC).

Results: The four approaches resulted in different optode layouts and the more informed approaches outperformed the minimally informed approach (LIT) in terms of signal quality and sensitivity. Further, PROB, iFMRI, and fVASC approaches resulted in a similar outcome.

Conclusions: We conclude that additional individual MRI data lead to a better outcome, but that not all the modalities tested here are required to achieve a robust setup. Finally, we give preliminary advice to efficiently using resources for developing robust optode layouts for BCI and neurofeedback applications.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Amaia Benitez-Andonegui, Michael Lührs, Laurien Nagels-Coune, Dimo Ivanov, Rainer Goebel, and Bettina Sorger "Guiding functional near-infrared spectroscopy optode-layout design using individual (f)MRI data: effects on signal strength," Neurophotonics 8(2), 025012 (17 June 2021). https://doi.org/10.1117/1.NPh.8.2.025012
Received: 29 September 2020; Accepted: 11 May 2021; Published: 17 June 2021
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Functional magnetic resonance imaging

Near infrared spectroscopy

Magnetic resonance imaging

Neurophotonics

Brain

Monte Carlo methods

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