Functional near-infrared spectroscopy (fNIRS), also known as NIRS or optical tomography (OT), is a non-invasive neuroimaging technique increasingly used by the neuroscience community. This method is gaining popularity due to its non-invasive nature, portability, and tolerance for movement during measurements. Compared to other frequently used neuroimaging techniques fNIRS has better spatial resolution than electroencephalography (EEG) and better temporal resolution than functional magnetic resonance imaging (fMRI).
The roots of fNIRS trace back to the 1970s when Frans Jöbsis discovered that biological tissues are relatively transparent to near-infrared light. Building on this intial work, Randall L. Barbour and Ray Aronson introduced the concept of tomographic imaging using near-infrared light in 1988. Barbour and Aronson made fNIRS more accessible and user-friendly for researchers by establishing their company NIRx, allowing it to be integrated into various experiments in neuroscience and other fields.
fNIRS measures changes in brain activity by detecting haemodynamic responses using near-infrared light. Neuronal activation increases local cerebral blood flow (CBF), leading to changes in the concentration of oxygenated haemoglobin (HbO), deoxygenated haemoglobin (HHb), and total haemoglobin (tHb = HbO + HHb). Specifically, when a brain region becomes active, the concentration of HbO increases, while HHb concentration decreases. These changes provide an indirect measure of brain activity, similar to the BOLD (Blood-Oxygen-Level-Dependent) signal used in fMRI.
By utilizing the unique absorption spectra of haemoglobin, which has an absorption window in the near-infrared range (700–1200 nm), fNIRS can detect the relative concentrations of HbO and HHb. Near-infrared light can penetrate several centimeters into biological tissue, allowing the measurement of these haemodynamic changes in the brain’s cortical regions. fNIRS systems consist of light sources and detectors placed on the scalp. The light sources are typically dual-tip LEDs that emit near-infrared light at specific wavelengths, often around 760 nm and 850 nm. These wavelengths are chosen because they are optimal for distinguishing between the absorption spectra of HbO and HHb. The detectors, positioned 3 centimeters from the emitters, measure the amount of light that passes through the brain tissue. The path of the light is not straight but rather follows a “banana-shaped” curve, a phenomenon known as the “photon banana”.
The relationship between light intensity changes and haemoglobin concentrations is described by the Modified Beer-Lambert Law, which accounts for the scattering of photons as they travel through tissue. The modification introduces a differential pathlength factor to adjust for the random travel of photons, providing a more accurate measure of haemoglobin changes.
Learn more about absorbance and transmittance:
NIRS explained: Absorbance & Transmittance by Artinis (2023)
Learn more about fNIRS:
fNIRS bootcamp UCLA SCN lab (2019 January)
Introduction to fNIRS webinar by Artinis (2022)
NIRx NIRSport system manual University of Iowa, DEN lab
Functional Near-Infrared Spectroscopy (fNIRS): Principles and Neuroscientific Applications
Interdisciplinary views of fNIRS: Current advancements, equity challenges, and an agenda for future needs of a diverse fNIRS research community
A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application
fNIRS course by Prof. Rickson C. Mesquita The present and future use of functional near-infrared spectroscopy (fNIRS) for cognitive neuroscience
When thinking about possible research questions to be answered with the use of fNIRS first it is important to think about what we can measure with fNIRS. fNIRS measurements indirectly reflect brain activity through the hemodynamic response resolved from detecting changes in the blood oxygenation in cortical areas. With careful considerations and a well-designed study, a wide variety of research questions can be answered, from developmental through more foundational cognitive topics.
Baseline: As fNIRS measures relative changes in haemoglobin concentration, the first important thing to consider is to establish a reliable baseline before presenting stimuli. A good baseline ensures the accuracy of your results and minimizes variability.
Haemodynamic delay: Compared to other methods the haemodynamic response observed with fNIRS is relatively slow, with the change peak happening around 5-10 seconds after stimuli.
Physiological confounds: Physiological factors, such as breathing or heart rate can interfere with fNIRS signals. For instance, Mayer waves (~0.1 Hz) can overlap with brain activity in repeating stimuli which can cause false positive results due to synchronization with the confounds.
Learn more about how to choose a correct baseline:
‘The do’s and don’ts of baselines’ by Artinis
Learn more about how to handle physiological confounds:
‘Best practices for fNIRS publications’ by Yücel et al. (2021)
Confounding effects by SfNIRS
A block design features alternating blocks of stimuli and rest periods. This approach offers high signal-to-noise ratios, statistical power, and time efficiency. However, careful attention is needed for: - Rest: Allow sufficient time for the response to return to baseline. - Block duration: Avoid overly long blocks to prevent mental fatigue. - Physiological synchronization: Prevent overlap with confounding physiological signals.
Learn more about experimental designs and research questions:
‘Which experimental designs to use in fNIRS’ by Artinis
‘fNIRS Experimental Design & Stimulus Presentation’ by Brain Support
UCLA fNIRS Bootcamp Pt. 2 - Study Design Considerations for fNIRS
Before the research is conducted, the research method has to be submitted to an ethics review board. For example, at Utrecht University the ethics review committee of Utrecht University’s faculty of Social and Behavioural Sciences (FETC) reviews the experimental procedures. Below you will find some things to consider.
Apply with a general research program: One direct and convenient route for ethics approval is to have an fNIRS research program approved. In this research program, the boundary box of the research that will fall under the program is explained. For example, lab-based experiments that investigate individual social cognition or dyadic hyper-scanning. The general procedure is explained as well as the ethical dimension of the research (e.g., risks, max duration, impact on participants).
Provide an fNIRS handout to participants: Within this handout you can explain fNIRS: what is it? How does it work? What are the risks? What will the participant do?
Harm and discomfort to the participant: Because of the non-invasive nature of fNIRS the probability of harm or discomfort is very low. This -as per criteria of the local ethics board- is not “greater than ordinarily encountered in daily life or during the performance of routine physical or psychological examinations or tests”. The duration of the experiment, optode placement, and use of short distance channels, spring holders used, and additional physiological measurement does impact the discomfort. Therefore try to minimise the duration of your experiment as much as possible without compromising the validity of your research.
Exclusion criteria: fNIRS has no exclusion criteria making it extremely suitable to test a diverse population. One important aspect to carefully consider is how hair and skin colour can influence the fNIRS signal and overcome limitations to prevent biases and increase inclusivity of fNIRS research. Accidental findings: Accidental findings are unlikely if not impossible, as fNIRS does not provide structural image of the brain. However, with research progressing this might change.
Anonymity of data: fNIRS data can be stored fully anonymized or pseudo-anonymized.
According to your brain regions-of-interest, fOLD can automatically suggest an optode configuration.
Reference: Morais, G. A. Z., Balardin, J. B., & Sato, J. R. (2018). fNIRS Optodes’ Location Decider (fOLD): a toolbox for probe arrangement guided by brain regions-of-interest. Scientific Reports, 8(1). https://doi.org/10.1038/s41598-018-21716-z
Installing fOLD: You can download the fOLD toolbox from Github
fOLD demonstration video: https://youtu.be/oA3u8rv5UDQ?si=ZGAVANLH2UGibw1R
Google Slides instruction: https://docs.google.com/presentation/d/1nNQB6xpl4Z1SH9MucbhxNUsTU3D4j-tMUVv-GYJlT08/edit#slide=id.p
NIRSite allows users to locate optodes onto an MNI space and to input digitized coordinates from other devices into a usable file format for analysis.
Installing NIRSite: You can download the NIRSite software from the NIRX pen drive or from https://support.nirx.de/software. Windows users can download the first available installer (.exe extension). Mac users can download the installer located inside the “Mac” folder (.pkg extension).
NIRSite Getting Started Guide: https://www.nirx.de/downloads/QuickGuides/Updated/Getting%20Started%20-%20NIRSite.pdf
NIRSite User Manual: On the NIRX pen drive or on the NIRX website (https://support.nirx.de/software).
NIRSite Refresher Course video: https://www.youtube.com/watch?v=czk-wZQINNc&t=10s
DEN Lab NIRSite instruction video: https://www.youtube.com/watch?v=DC_H3qLypGM&t=1s
Read more about probe registration:
Probe registration articles by SfNIRS
‘How do you create an fNIRS optodes montage?’ by Cortivision