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      • Record: found
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      Wearable, high-density fNIRS and diffuse optical tomography technologies: a perspective

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract.

          Recent progress in optoelectronics has made wearable and high-density functional near-infrared spectroscopy (fNIRS) and diffuse optical tomography (DOT) technologies possible for the first time. These technologies have the potential to open new fields of real-world neuroscience by enabling functional neuroimaging of the human cortex at a resolution comparable to fMRI in almost any environment and population. In this perspective article, we provide a brief overview of the history and the current status of wearable high-density fNIRS and DOT approaches, discuss the greatest ongoing challenges, and provide our thoughts on the future of this remarkable technology.

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          Most cited references107

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          Brainstorm: A User-Friendly Application for MEG/EEG Analysis

          François Tadel, Sylvain Baillet, John Mosher … (2011)
          Brainstorm is a collaborative open-source application dedicated to magnetoencephalography (MEG) and electroencephalography (EEG) data visualization and processing, with an emphasis on cortical source estimation techniques and their integration with anatomical magnetic resonance imaging (MRI) data. The primary objective of the software is to connect MEG/EEG neuroscience investigators with both the best-established and cutting-edge methods through a simple and intuitive graphical user interface (GUI).
          Article 0 comments Cited 595 times – based on 0 reviews     Review now
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            A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology.

            Felix Scholkmann, Stefan Kleiser, Andreas Jaakko Metz … (2014)
            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.

              Theodore J Huppert, Solomon G Diamond, Maria A Franceschini … (2009)
              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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                Author and article information

                Contributors
                Ernesto E. Vidal-Rosas:
                ORCID: https://orcid.org/0000-0002-4486-7592
                Alexander von Lühmann:
                ORCID: https://orcid.org/0000-0002-4995-293X
                Paola Pinti
                Robert J. Cooper:
                ORCID: https://orcid.org/0000-0001-6696-8020
                Journal
                Journal ID (nlm-ta): Neurophotonics
                Journal ID (iso-abbrev): Neurophotonics
                Journal ID (coden): NEUROW
                Journal ID (publisher-id): NPh
                Title: Neurophotonics
                Publisher: Society of Photo-Optical Instrumentation Engineers
                ISSN (Print): 2329-423X
                ISSN (Electronic): 2329-4248
                Publication date (Electronic): 17 May 2023
                Publication date (Print): April 2023
                Publication date PMC-release: 17 May 2023
                Volume: 10
                Issue: 2
                Electronic Location Identifier: 023513
                Affiliations
                [a ]University College London , DOT-HUB, Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, London, United Kingdom
                [b ]Gowerlabs Ltd. , London, United Kingdom
                [c ]Technische Universität Berlin – BIFOLD , Intelligent Biomedical Sensing Lab, Machine Learning Department, Berlin, Germany
                [d ]Boston University , Neurophotonics Center, Department of Biomedical Engineering, Boston, Massachusetts, United States
                [e ]University of London , Birkbeck College, Centre for Brain and Cognitive Development, London, United Kingdom
                [f ]University College London , Department of Medical Physics and Biomedical Engineering, London, United Kingdom
                Author notes
                [* ]Address all correspondence to Robert J. Cooper, robert.cooper@ 123456ucl.ac.uk
                Author information
                https://orcid.org/0000-0002-4486-7592
                https://orcid.org/0000-0002-4995-293X
                https://orcid.org/0000-0001-6696-8020
                Article
                Publisher-manuscript ID: NPh-22108SSPER Publisher ID: 22108SSPER
                DOI: 10.1117/1.NPh.10.2.023513
                PMC ID: 10190166
                PubMed ID: 37207252
                SO-VID: 035d465f-0824-4f96-ab4c-e2f8840e7933
                Copyright © © 2023 The Authors
                License:

                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
                Date received : 7 December 2022
                Date accepted : 3 April 2023
                Page count
                Figures: 3, Tables: 0, References: 109, Pages: 18
                Funding
                Funded by: Wellcome Trust
                Award ID: 212979/Z/18/Z
                Funded by: Engineering and Physical Sciences Research Council
                Award ID: EP/N025946/1
                Categories
                Subject: Special Section Celebrating 30 Years of Functional Near Infrared Spectroscopy (Part II)
                Subject: Paper
                Custom metadata
                running-head Vidal-Rosas et al.: Wearable, high-density fNIRS and diffuse optical tomography technologies: a perspective

                Keywords: diffuse optical tomography,functional near-infrared spectroscopy,functional neuroimaging,high-density diffuse optical tomography,wearable
                Data availability:
                Keywords: diffuse optical tomography, functional near-infrared spectroscopy, functional neuroimaging, high-density diffuse optical tomography, wearable

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