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      Systemic physiology augmented functional near-infrared spectroscopy: a powerful approach to study the embodied human brain

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          Abstract.

          In this Outlook paper, we explain why an accurate physiological interpretation of functional near-infrared spectroscopy (fNIRS) neuroimaging signals is facilitated when systemic physiological activity (e.g., cardiorespiratory and autonomic activity) is measured simultaneously by employing systemic physiology augmented functional near-infrared spectroscopy (SPA-fNIRS). The rationale for SPA-fNIRS is twofold: (i) SPA-fNIRS enables a more complete interpretation and understanding of the fNIRS signals measured at the head since they contain components originating from neurovascular coupling and from systemic physiological sources. The systemic physiology signals measured with SPA-fNIRS can be used for regressing out physiological confounding components in fNIRS signals. Misinterpretations can thus be minimized. (ii) SPA-fNIRS enables to study the embodied brain by linking the brain with the physiological state of the entire body, allowing novel insights into their complex interplay. We envisage the SPA-fNIRS approach will become increasingly important in the future.

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          Most cited references140

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          A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology.

          This year marks the 20th anniversary of functional near-infrared spectroscopy and imaging (fNIRS/fNIRI). As the vast majority of commercial instruments developed until now are based on continuous wave technology, the aim of this publication is to review the current state of instrumentation and methodology of continuous wave fNIRI. For this purpose we provide an overview of the commercially available instruments and address instrumental aspects such as light sources, detectors and sensor arrangements. Methodological aspects, algorithms to calculate the concentrations of oxy- and deoxyhemoglobin and approaches for data analysis are also reviewed. From the single-location measurements of the early years, instrumentation has progressed to imaging initially in two dimensions (topography) and then three (tomography). The methods of analysis have also changed tremendously, from the simple modified Beer-Lambert law to sophisticated image reconstruction and data analysis methods used today. Due to these advances, fNIRI has become a modality that is widely used in neuroscience research and several manufacturers provide commercial instrumentation. It seems likely that fNIRI will become a clinical tool in the foreseeable future, which will enable diagnosis in single subjects. Copyright © 2013 Elsevier Inc. All rights reserved.
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            HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain.

            Near-infrared spectroscopy (NIRS) is a noninvasive neuroimaging tool for studying evoked hemodynamic changes within the brain. By this technique, changes in the optical absorption of light are recorded over time and are used to estimate the functionally evoked changes in cerebral oxyhemoglobin and deoxyhemoglobin concentrations that result from local cerebral vascular and oxygen metabolic effects during brain activity. Over the past three decades this technology has continued to grow, and today NIRS studies have found many niche applications in the fields of psychology, physiology, and cerebral pathology. The growing popularity of this technique is in part associated with a lower cost and increased portability of NIRS equipment when compared with other imaging modalities, such as functional magnetic resonance imaging and positron emission tomography. With this increasing number of applications, new techniques for the processing, analysis, and interpretation of NIRS data are continually being developed. We review some of the time-series and functional analysis techniques that are currently used in NIRS studies, we describe the practical implementation of various signal processing techniques for removing physiological, instrumental, and motion-artifact noise from optical data, and we discuss the unique aspects of NIRS analysis in comparison with other brain imaging modalities. These methods are described within the context of the MATLAB-based graphical user interface program, HomER, which we have developed and distributed to facilitate the processing of optical functional brain data.
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              Separating respiratory-variation-related fluctuations from neuronal-activity-related fluctuations in fMRI.

              Subtle changes in a subject's breathing rate or depth, which occur naturally during rest at low frequencies (<0.1 Hz), have been shown to be significantly correlated with fMRI signal changes throughout gray matter and near large vessels. The goal of this study was to investigate the impact of these low-frequency respiration variations on both task activation fMRI studies and resting-state functional connectivity analysis. Unlike MR signal changes correlated with the breathing motion ( approximately 0.3 Hz), BOLD signal changes correlated with across-breath variations in respiratory volume ( approximately 0.03 Hz) appear localized to blood vessels and regions with high blood volume, such as gray matter, similar to changes seen in response to a breath-hold challenge. In addition, the respiration-variation-induced signal changes were found to coincide with many of the areas identified as part of the 'default mode' network, a set of brain regions hypothesized to be more active at rest. Regions could therefore be classified as being part of a resting network based on their similar respiration-induced changes rather than their synchronized neuronal activity. Monitoring and removing these respiration variations led to a significant improvement in the identification of task-related activation and deactivation and only slight differences in regions correlated with the posterior cingulate at rest. Regressing out global signal changes or cueing the subject to breathe at a constant rate and depth resulted in an improved spatial overlap between deactivations and resting-state correlations among areas that showed deactivation.

                Author and article information

                Contributors
                Journal
                Neurophotonics
                Neurophotonics
                NEUROW
                NPh
                Neurophotonics
                Society of Photo-Optical Instrumentation Engineers
                2329-423X
                2329-4248
                11 July 2022
                July 2022
                11 July 2022
                : 9
                : 3
                : 030801
                Affiliations
                [a ]University of Bern , Institute of Complementary and Integrative Medicine, Bern, Switzerland
                [b ]University Hospital Zurich, University of Zurich , Biomedical Optics Research Laboratory, Neonatology Research, Department of Neonatology, Zurich, Switzerland
                [c ]University College London , Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
                Author notes
                [* ]Address all correspondence to Felix Scholkmann, Felix. Scholkmann@ 123456unibe.ch
                Author information
                https://orcid.org/0000-0002-1748-4852
                https://orcid.org/0000-0002-8125-0313
                https://orcid.org/0000-0001-7525-891X
                https://orcid.org/0000-0002-1602-1143
                Article
                NPh-22011KRR 22011KRR
                10.1117/1.NPh.9.3.030801
                9272976
                35832785
                9cee9178-9f81-4f56-a893-5aaded3658af
                © 2022 The Authors

                Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

                History
                : 15 February 2022
                : 7 June 2022
                Page count
                Figures: 9, Tables: 0, References: 140, Pages: 24
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                Scholkmann et al.: Systemic physiology augmented functional near-infrared spectroscopy…

                systemic physiology augmented functional near-infrared spectroscopy,functional near-infrared spectroscopy,integrative physiology,neurosystemic functional connectivity

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