Optimal positioning of optodes on the scalp for personalized functional near-infrared spectroscopy investigations

Machado, Alexis; Cai, Zhengchen; Pellegrino, Giovanni; Marcotte, Odile; Thomas, Vincent; Lina, Jean‐Marc; Kobayashi, Eliane; Grova, Christophe

doi:10.1016/j.jneumeth.2018.08.006

Cited by 42 publications

(73 citation statements)

References 91 publications

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“…Determining an appropriate position and arrangement of optodes for a given fNIRS study is, therefore, a necessity. 26,27 However, this process is far from trivial as fNIRS measurements are highly dependent on the position, extent, source-detector separation(s), and density of the fNIRS source and detector array. 28,29 These factors affect the sensitivity of the measurement to a given cortical region, the relative contributions of the brain and extracerebral tissues to each signal, and the homogeneity of the measurement sensitivity across the field of view.…”

Section: Optode Array Design Cap and Targeted Brain Regionsmentioning

confidence: 99%

“…Alternatively, participant-specific registration of the fNIRS array can be performed using information derived from three-dimensional (3D) positioning systems, neuro-navigation technologies, or via photogrammetry approaches. 26,37,38 In this case, researchers can additionally report the variance in the optode locations on the scalp and/or the variance in underlying macroanatomy. Any instrument, software, or processing approach used to achieve spatial registration and what assumptions those approaches rely upon should be described.…”

Section: Optode Array Design Cap and Targeted Brain Regionsmentioning

confidence: 99%

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Best practices for fNIRS publications

et al. 2021

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Section: Optode Array Design Cap and Targeted Brain Regionsmentioning

confidence: 99%

Section: Optode Array Design Cap and Targeted Brain Regionsmentioning

confidence: 99%

Best practices for fNIRS publications

et al. 2021

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“…In order to achieve highly reproducible hemodynamic responses and to substantially reduce the commonly observed spatial reposition error [144], it can be advantageous to use a neuronavigation system. Indeed, the spatial error significantly decreased when neuronavigation was employed, for instance, in transcranial magnetic stimulation studies [145], but also in fNIRS placing optodes with a neuronavigational device showed promising results regarding applicability and accuracy [146].…”

Section: Discussionmentioning

confidence: 99%

Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging in Exercise–Cognition Science: A Systematic, Methodology-Focused Review

Herold

Wiegel

Scholkmann

et al. 2018

JCM

308

307

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For cognitive processes to function well, it is essential that the brain is optimally supplied with oxygen and blood. In recent years, evidence has emerged suggesting that cerebral oxygenation and hemodynamics can be modified with physical activity. To better understand the relationship between cerebral oxygenation/hemodynamics, physical activity, and cognition, the application of state-of-the art neuroimaging tools is essential. Functional near-infrared spectroscopy (fNIRS) is such a neuroimaging tool especially suitable to investigate the effects of physical activity/exercises on cerebral oxygenation and hemodynamics due to its capability to quantify changes in the concentration of oxygenated hemoglobin (oxyHb) and deoxygenated hemoglobin (deoxyHb) non-invasively in the human brain. However, currently there is no clear standardized procedure regarding the application, data processing, and data analysis of fNIRS, and there is a large heterogeneity regarding how fNIRS is applied in the field of exercise–cognition science. Therefore, this review aims to summarize the current methodological knowledge about fNIRS application in studies measuring the cortical hemodynamic responses during cognitive testing (i) prior and after different physical activities interventions, and (ii) in cross-sectional studies accounting for the physical fitness level of their participants. Based on the review of the methodology of 35 as relevant considered publications, we outline recommendations for future fNIRS studies in the field of exercise–cognition science.

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“…For larger SDS, detected light intensity is relatively lower than that of the recommended range, which might be compensated for by increasing the power of the light sources used in the device. However, this operation may raise safety issues and also does not ensure measured optical density with sufficient SNR . For smaller SDS, non‐brain tissue contributed to the relatively larger proportion of the sensitivity, resulting in almost zero sensitivity to brain.…”

Section: Discussionmentioning

confidence: 99%

Investigation of the source‐detector separation in near infrared spectroscopy for healthy and clinical applications

Wang

Ayaz

İzzetoğlu

2019

Journal of Biophotonics

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Understanding near infrared light propagation in tissue is vital for designing next generation optical brain imaging devices. Monte Carlo (MC) simulations provide a controlled mechanism to characterize and evaluate contributions of diverse near infrared spectroscopy (NIRS) sensor configurations and parameters. In this study, we developed a multilayer adult digital head model under both healthy and clinical settings and assessed light‐tissue interaction through MC simulations in terms of partial differential pathlength, mean total optical pathlength, diffuse reflectance, detector light intensity and spatial sensitivity profile of optical measurements. The model incorporated four layers: scalp, skull, cerebrospinal‐fluid and cerebral cortex with and without a customizable lesion for modeling hematoma of different sizes and depths. The effect of source‐detector separation (SDS) on optical measurements' sensitivity to brain tissue was investigated. Results from 1330 separate simulations [(4 lesion volumes × 4 lesion depths for clinical +3 healthy settings) × 7 SDS × 10 simulation = 1330)] each with 100 million photons indicated that selection of SDS is critical to acquire optimal measurements from the brain and recommended SDS to be 25 to 35 mm depending on the wavelengths to obtain optical monitoring of the adult brain function. The findings here can guide the design of future NIRS probes for functional neuroimaging and clinical diagnostic systems.

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Optimal positioning of optodes on the scalp for personalized functional near-infrared spectroscopy investigations

Cited by 42 publications

References 91 publications

Best practices for fNIRS publications

Best practices for fNIRS publications

Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging in Exercise–Cognition Science: A Systematic, Methodology-Focused Review

Investigation of the source‐detector separation in near infrared spectroscopy for healthy and clinical applications

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