A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements

Scarpa, Fábio; Brigadoi, Sabrina; Cutini, Simone; Scatturin, Pietro; Zorzi, Marco; Dell’Acqua, Roberto; Sparacino, Giovanni

doi:10.1016/j.neuroimage.2013.01.021

Cited by 53 publications

(67 citation statements)

References 43 publications

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“…These systemic phenomena typically occur in the superficial tissues (mainly the scalp) and can confound the readings of the instruments, especially when task related physiological responses happen [6,7]. A multi-channel configuration with sensors placed at different distances from the injection point is the solution that is currently being adopted in CW fNIRS to reduce the crosstalk between the superficial systemic signal and the deep cortical signal [8][9][10]. Conversely, in the time domain (TD) approach to fNIRS, picosecond pulsed lasers and fast photodetectors are used to acquire the photon distribution of time-of-flights in the head.…”

Section: Introductionmentioning

confidence: 99%

Method for the discrimination of superficial and deep absorption variations by time domain fNIRS

Zucchelli

Contini

et al. 2013

Biomed. Opt. Express

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Abstract:A method for the discrimination of superficial and deep absorption variations by time domain functional near infrared spectroscopy is presented. The method exploits the estimate of the photon timedependent pathlength in different domains of the sampled medium and makes use of an approach based on time-gating of the photon distribution of time-of-flights. Validation of the method is performed in the two-layer geometry to focus on muscle and head applications. Numerical simulations varied the thickness of the upper layer, the interfiber distance, the shape of the instrument response function and the photon counts. Preliminary results from in vivo data are also shown.

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Section: Introductionmentioning

confidence: 99%

Method for the discrimination of superficial and deep absorption variations by time domain fNIRS

Zucchelli

Contini

et al. 2013

Biomed. Opt. Express

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“…Some studies have assumed that the global interference of SBF can be expressed as periodic physiological changes with variable amplitudes and frequencies of sinusoidal waves without considering task-related changes [2,[20][21][22]. In our assumption, the task-related fluctuation of SBF, which is easily affected by experimental tasks and individual differences, is completely contradictory.…”

Section: Artificial Functional Near-infrared Spectroscopy (Fnirs) Sigmentioning

confidence: 96%

Real-Time Reduction of Task-Related Scalp-Hemodynamics Artifact in Functional Near-Infrared Spectroscopy with Sliding-Window Analysis

et al. 2018

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Functional near-infrared spectroscopy (fNIRS) is an effective non-invasive neuroimaging technique for measuring hemoglobin concentration in the cerebral cortex. Owing to the nature of fNIRS measurement principles, measured signals can be contaminated with task-related scalp blood flow (SBF), which is distributed over the whole head and masks true brain activity. Aiming for fNIRS-based real-time application, we proposed a real-time task-related SBF artifact reduction method. Using a principal component analysis, we estimated a global temporal pattern of SBF from few short-channels, then we applied a general linear model for removing it from long-channels that were possibly contaminated by SBF. Sliding-window analysis was applied for both signal steps for real-time processing. To assess the performance, a semi-real simulation was executed with measured short-channel signals in a motor-task experiment. Compared with conventional techniques with no elements of SBF, the proposed method showed significantly higher estimation performance for true brain activation under a task-related SBF artifact environment.

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“…18,23 In a previous study, Minati et al 23 observed that ballistic event-related motor tasks (e.g., arm raising) evoke global systemic changes in the superficial-tissue hemodynamic artifacts of fNIRS data from the visual cortex, even though this region was unrelated to the task. Another study by Scarpa et al 18 has revealed that a superficialtissue hemodynamic artifact removal method using 5-mm probe distance channels as references can improve the detection of cerebral activity during event-related motor tasks. However, no study has examined the temporal profiles of superficial-tissue hemodynamic artifacts directly over sensorimotor areas during event-related motor tasks.…”

Section: Introductionmentioning

confidence: 99%

“…[6][7][8][9][10] Another type of task design, the "event-related design," has recently become popular in fNIRS studies. [11][12][13][14][15][16][17][18] In event-related tasks, participants perform the movement or task only once per trial, which usually occurs within 1 s. The cerebral activity evoked by this brief event is then identified. Such event-related task designs are common in other types of neuroimaging, such as functional magnetic resonance imaging (fMRI) 19,20 or electroencephalography (EEG).…”

Section: Introductionmentioning

confidence: 99%

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Transient increase in systemic interferences in the superficial layer and its influence on event-related motor tasks: a functional near-infrared spectroscopy study

et al. 2017

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, "Transient increase in systemic interferences in the superficial layer and its influence on event-related motor tasks: a functional near-infrared spectroscopy study," J. Biomed. Opt. 22(3), 035008 (2017), doi: 10.1117/1.JBO.22.3.035008. Abstract. Functional near-infrared spectroscopy (fNIRS) is a widely utilized neuroimaging tool in fundamental neuroscience research and clinical investigation. Previous research has revealed that task-evoked systemic artifacts mainly originating from the superficial-tissue may preclude the identification of cerebral activation during a given task. We examined the influence of such artifacts on event-related brain activity during a brisk squeezing movement. We estimated task-evoked superficial-tissue hemodynamics from short source-detector distance channels (15 mm) by applying principal component analysis. The estimated superficial-tissue hemodynamics exhibited temporal profiles similar to the canonical cerebral hemodynamic model. Importantly, this task-evoked profile was also observed in data from a block design motor experiment, suggesting a transient increase in superficial-tissue hemodynamics occurs following motor behavior, irrespective of task design. We also confirmed that estimation of event-related cerebral hemodynamics was improved by a simple superficial-tissue hemodynamic artifact removal process using 15-mm short distance channels, compared to the results when no artifact removal was applied. Thus, our results elucidate task design-independent characteristics of superficial-tissue hemodynamics and highlight the need for the application of superficial-tissue hemodynamic artifact removal methods when analyzing fNIRS data obtained during event-related motor tasks. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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A reference-channel based methodology to improve estimation of event-related hemodynamic response from fNIRS measurements

Cited by 53 publications

References 43 publications

Method for the discrimination of superficial and deep absorption variations by time domain fNIRS

Method for the discrimination of superficial and deep absorption variations by time domain fNIRS

Real-Time Reduction of Task-Related Scalp-Hemodynamics Artifact in Functional Near-Infrared Spectroscopy with Sliding-Window Analysis

Transient increase in systemic interferences in the superficial layer and its influence on event-related motor tasks: a functional near-infrared spectroscopy study

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