Special Section Guest Editorial: Thirty Years of Functional Near-Infrared Spectroscopy

Highton, David; Boas, David A.; Minagawa, Yasuyo; Mesquita, Rickson C.; Gervain, Judit

doi:10.1117/1.nph.10.2.023501

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…Parallel with these developments, functional near-infrared spectroscopy (fNIRS) emerged as an alternative non-invasive hemodynamic brain imaging technique with the first description of an fNIRS device published in 1993 [16]. The functional principle of fNIRS is based on NIRS developed by Jöbsis in the 1970s [17].…”

Section: Fnirs Neurofeedback: a Promising But Challenging Neuromodula...mentioning

confidence: 99%

“…These concentration changes are derived from the amount of light backscattered to one or more detector optodes located at a distance of about 3 cm from the source optode [18]. FNIRS has evolved significantly in especially recent years and has become a widely used research tool in basic and various applied neuroscience disciplines [16,[21][22][23][24][25].…”

Section: Fnirs Neurofeedback: a Promising But Challenging Neuromodula...mentioning

confidence: 99%

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From Lab to Life: Challenges and Perspectives of fNIRS for Hemodynamic-based Neurofeedback in Real-World Environments

Klein,

Kohl,

Lührs

et al. 2023

Preprint

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Neurofeedback allows individuals to monitor and self-regulate their brain activity, potentially improving human brain function. Beyond the traditional electrophysiological approach using primarily electroencephalography (EEG), brain hemodynamics measured with functional magnetic resonance imaging (fMRI) and more recently functional near-infrared spectroscopy (fNIRS) have been used, particularly to improve the spatial specificity of neurofeedback. Over the last years, especially fNIRS has attracted great attention because it offers several advantages over fMRI such as increased user accessibility, cost-effectiveness, and mobility - the latter being the most distinct feature of fNIRS. The next logical step would be to transfer hemodynamic neurofeedback protocols that have already been proven and validated by fMRI to mobile fNIRS. However, this undertaking is not always easy, especially since fNIRS novices may miss important fNIRS-specific methodological challenges. This review is aimed at researchers from different fields who wish exploiting the unique capabilities of fNIRS for neurofeedback. It carefully addresses fNIRS-specific challenges and offers suggestions for possible solutions. If the challenges raised are addressed and further developed, fNIRS could emerge as a useful neurofeedback technique with its own unique application potential - the targeted training of brain activity in real-world environments, thereby significantly expanding the scope and scalability of hemodynamic neurofeedback applications.

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Section: Fnirs Neurofeedback: a Promising But Challenging Neuromodula...mentioning

confidence: 99%

Section: Fnirs Neurofeedback: a Promising But Challenging Neuromodula...mentioning

confidence: 99%

From Lab to Life: Challenges and Perspectives of fNIRS for Hemodynamic-based Neurofeedback in Real-World Environments

Klein,

Kohl,

Lührs

et al. 2023

Preprint

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show abstract

“…Functional Near Infrared Spectroscopy (fNIRS) is a non-invasive neuroimaging modality that measures the cortical haemodynamic and oxygenation changes that follow neuronal activity. Thanks to its being portable, relatively robust to head movements, versatile for a wide range of population and tasks, fNIRS has gained increased popularity over the past 30 years, as recently acknowledged in the “Celebrating the 30 years of fNIRS” special issue in Neurophotonics (Highton et al, 2023). The tremendous progress in hardware developments has led to the availability of wireless/mobile fNIRS devices that now enable brain function imaging in real-world settings and in those situations where other neuroimaging methods like functional magnetic resonance imaging (fMRI) or electroencephalography (EEG) are not suitable, such as those requiring dynamic movements (Balardin et al, 2017; Burgess et al, 2022; Greaves et al, 2022) or face-to-face social interactions (Krishnan-Barman et al, 2023; Nguyen et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Ecological fNIRS in mobile children: Using short separation channels to correct for systemic contamination during naturalistic neuroimaging

Pinti,

Dina,

Smith

2024

Preprint

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SignificanceThe advances and the miniaturization in functional Near Infrared Spectroscopy (fNIRS) instrumentation offers the potential to move the classical laboratory-based cognitive neuroscience investigations into more naturalistic settings. Wearable and mobile fNIRS devices also provide a novel child-friendly means to image functional brain activity in freely moving toddlers and preschoolers. Measuring brain activity in more ecologically valid settings with fNIRS presents additional challenges, such as the increased impact of physiological interferences. One of the most popular methods to minimize such interferences is to regress out short separation channels from the long separation channels (i.e., superficial signal regression or SSR). Whilst this has been extensively investigated in adults, little is known about the impact of systemic changes on the fNIRS signals recorded in children in either classical or novel naturalistic experiments.AimWe aim to investigate if extracerebral physiological changes occur in toddlers and preschoolers, and whether SSR can help minimize these interferences.ApproachWe collected fNIRS data from 3-to-7 years olds during a conventional computerized static task and in a dynamic naturalistic task in an immersive virtual reality (VR) continuous automatic virtual environment (CAVE).ResultsOur results show that superficial signal contamination data is present in both young children as in adults. Importantly, we find that SSR helps in improving the localization of functional brain activity, both in the computerized task and, to a larger extent, in the dynamic VR task.ConclusionsFollowing from these results, we formulate suggestions to advance the field of developmental neuroimaging with fNIRS, particularly in ecological settings.

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The neurocomputational signature of decision-making for unfair offers in females under acute psychological stress

Wang,

Tang,

Yin

et al. 2024

Neurobiology of Stress

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Special Section Guest Editorial: Thirty Years of Functional Near-Infrared Spectroscopy

Cited by 5 publications

References 26 publications

From Lab to Life: Challenges and Perspectives of fNIRS for Hemodynamic-based Neurofeedback in Real-World Environments

From Lab to Life: Challenges and Perspectives of fNIRS for Hemodynamic-based Neurofeedback in Real-World Environments

Ecological fNIRS in mobile children: Using short separation channels to correct for systemic contamination during naturalistic neuroimaging

The neurocomputational signature of decision-making for unfair offers in females under acute psychological stress

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