HomER: A review of time-series analysis methods for near-infrared spectroscopy of the brain
Open accessAbstract
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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Sassaroli, A., & Fantini, S. (2004) · Physics in Medicine and Biology · doi:10.1088/0031-9155/49/14/n07 · Cited by 352 · see citing works
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Greaves, D. A., Pinti, P., Din, S., Hickson, R., Diao, M., Lange, C., Khurana, P., Hunter, K., Tachtsidis, I., & Hamilton, A. F. D. C. (2022) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01912 · Cited by 29 · see citing works
Tan, S. H. J., Leuk, S. P. J., & Teo, W.-P. (2026) · NeuroImage · doi:10.1016/j.neuroimage.2026.121906 · Cited by 1 · see citing works
- Authors
- Huppert, T. J., Diamond, S. G., Franceschini, M. A., & Boas, D. A.
- Affiliations
- University of Pittsburgh Medical Center (US)
- Massachusetts General Hospital (US)
- Venue
- Applied Optics
- Publisher
- Optica Publishing Group
- Published
- 2009-03-26
- Volume
- 48
- Issue
- 10
- Pages
- D280
- ISSN
- 0003-6935 (ISSN-L)
- 1539-4522
- PMC
- PMC2761652
- OpenAlex
- W2029802912
- Cited by
- 1,817
- References
- 1
- Citations by year
- 2026: 209 · 2025: 260 · 2024: 175 · 2023: 180 · 2022: 161 · 2021: 134 · 2020: 117 · 2019: 90 · 2018: 107 · 2017: 79 · 2016: 63 · 2015: 55 · 2014: 50 · 2013: 44 · 2012: 29
- FWCI
- 4.28
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Applied Optics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute on Aging (P30AG024827)
- National Institute of Biomedical Imaging and Bioengineering (R01EB001954)
- National Center for Research Resources (P41-RR-14075, P41RR014075)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Keywords
- near-infrared spectroscopy, time series analysis, HOMER Pro, signal processing, artifact removal, motion artifacts, hemodynamic response, cerebral oxygenation, deoxyhemoglobin, functional neuroimaging, MATLAB graphical user interface
- MeSH terms
- Brain, Cerebrovascular Circulation, Hemodynamics, Hemoglobins, Humans, Models, Theoretical, Osmolar Concentration, Oxyhemoglobins, Signal Processing, Computer-Assisted, Software, Spectroscopy, Near-Infrared
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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