The present and future use of functional near‐infrared spectroscopy (fNIRS) for cognitive neuroscience

Annals of the New York Academy of Sciences, Journal Year: 2018, Volume and Issue: 1464(1), P. 5 - 29

Published: Aug. 7, 2018

Abstract The past few decades have seen a rapid increase in the use of functional near‐infrared spectroscopy (fNIRS) cognitive neuroscience. This fast growth is due to several advances that fNIRS offers over other neuroimaging modalities such as magnetic resonance imaging and electroencephalography/magnetoencephalography. In particular, harmless, tolerant bodily movements, highly portable, being suitable for all possible participant populations, from newborns elderly experimental settings, both inside outside laboratory. this review we aim provide comprehensive state‐of‐the‐art basics, technical developments, applications. discuss some open challenges potential neuroscience research, with particular focus on naturalistic environments social

Language: Английский

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Current Status and Issues Regarding Pre-processing of fNIRS Neuroimaging Data: An Investigation of Diverse Signal Filtering Methods Within a General Linear Model Framework

Frontiers in Human Neuroscience, Journal Year: 2019, Volume and Issue: 12

Published: Jan. 10, 2019

Functional near-infrared spectroscopy (fNIRS) research articles show a large heterogeneity in the analysis approaches and pre-processing procedures. Additionally, there is often lack of complete description methods applied, necessary for study replication or results comparison. The aims this paper were (i) to review investigate which information generally included published fNIRS papers, (ii) define signal procedure set common ground standardization guidelines. To goal, we have reviewed 110 2016 field cognitive neuroscience, performed simulation with synthetic data optimize filtering step before applying GLM method statistical inference. Our highlight fact that many papers important information, variability used. simulations demonstrated optimal approach remove noise recover hemodynamic response from framework use 1000th order band-pass Finite Impulse Response filter. Based on these results, give preliminary recommendations as first toward improving dissemination results.

Language: Английский

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A consensus guide to using functional near-infrared spectroscopy in posture and gait research

Gait & Posture, Journal Year: 2020, Volume and Issue: 82, P. 254 - 265

Published: Sept. 18, 2020

Language: Английский

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Can neuromarketing add value to the traditional marketing research? An exemplary experiment with functional near-infrared spectroscopy (fNIRS)

Journal of Business Research, Journal Year: 2018, Volume and Issue: 107, P. 172 - 185

Published: Oct. 31, 2018

Language: Английский

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NIRS measures in pain and analgesia: Fundamentals, features, and function

Neuroscience & Biobehavioral Reviews, Journal Year: 2020, Volume and Issue: 120, P. 335 - 353

Published: Nov. 5, 2020

Language: Английский

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Load-dependent relationships between frontal fNIRS activity and performance: A data-driven PLS approach

NeuroImage, Journal Year: 2021, Volume and Issue: 230, P. 117795 - 117795

Published: Jan. 24, 2021

Neuroimaging research frequently demonstrates load-dependent activation in prefrontal and parietal cortex during working memory tasks such as the N-back. Most of this work has been conducted fMRI, but functional near-infrared spectroscopy (fNIRS) is gaining traction a less invasive more flexible alternative to measuring cortical hemodynamics. Few fNIRS studies, however, have examined how changes brain hemodynamics relate performance. The current study employs newly developed robust statistical analysis task-based data large sample, utility data-driven, multivariate analyses link behavior modality. Seventy participants completed standard N-back task with three levels (N = 1, 2, 3) while were collected from frontal cortex. Overall, showed reliably greater fronto-parietal for 2-back versus 1-back task, suggesting measurements are sensitive differences cognitive load. results 3-back much consistent, potentially due poor behavioral performance task. To address this, (behavioral partial least squares, PLS) was examine interaction between at each level. Results PLS demonstrated relationship accuracy change deoxyhemoglobin signal function level eight mid-frontal channels. Specifically, reductions (i.e., activation) positively related on unrelated negatively associated This pattern suggests that metabolic demands correlated neural activity required high vary consequence difficulty/cognitive load, whereby automaticity (less activity) predicted superior relatively easy successful engagement region difficult cognitively demanding In summary, we show can track load uncover significant associations performance, thus opening door modality be used wide-spread applications.

Language: Английский

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Systematic review of fNIRS studies reveals inconsistent chromophore data reporting practices

Neurophotonics, Journal Year: 2022, Volume and Issue: 9(04)

Published: Dec. 23, 2022

SignificanceFunctional near-infrared spectroscopy (fNIRS) is unique among neuroimaging techniques in its ability to estimate changes both oxyhemoglobin (HbO) and deoxyhemoglobin (HbR). However, fNIRS research has applied various data reporting practices based on these chromophores as measures of neural activation.AimTo quantify the variability chromophore explore recent trends literature.ApproachWe reviewed 660 papers from 2015, 2018, 2021 extract information practices.ResultsOur review revealed five general for chromophores: (1) HbO only, (2) HbR (3) HbR, (4) correlation-based signal improvement, (5) either total (HbT) or difference (HbDiff) concentration between chromophores. The field was primarily divided only HbR. one consistently observed most popular practice each year reviewed.ConclusionsOur results highlight high heterogeneity research. We discuss potential implications study comparison efforts interpretation results. Most importantly, our demonstrates need a standard improve scientific transparency and, ultimately, better understand how events relate cognitive phenomena.

Language: Английский

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Using preregistration as a tool for transparent fNIRS study design

Neurophotonics, Journal Year: 2023, Volume and Issue: 10(02)

Published: March 8, 2023

The expansion of functional near-infrared spectroscopy (fNIRS) methodology and analysis tools gives rise to various design analytical decisions that researchers have make. Several recent efforts developed guidelines for preprocessing, analyzing, reporting practices. For the planning stage fNIRS studies, similar guidance is desirable. Study preregistration helps transparently document study protocols before conducting study, including materials, methods, analyses, thus, others verify, understand, reproduce a study. Preregistration can thus serve as useful tool transparent, careful, comprehensive design.We aim create guide on steps involved in studies provide template specified studies.The presented has strong focus specific requirements, associated provides examples based continuous-wave (CW) conducted humans. These can, however, be extended other types studies.On step-by-step basis, we walk user through key methodological analysis-related aspects central design. include items CW, task-based but also sections are general importance, an in-depth elaboration sample size planning.Our introduces these open science community, providing with overview specification recommendations planning. As such it used preregister or merely transparent

Language: Английский

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Impaired Neurovascular Coupling and Increased Functional Connectivity in the Frontal Cortex Predict Age‐Related Cognitive Dysfunction

Advanced Science, Journal Year: 2023, Volume and Issue: 11(10)

Published: Dec. 28, 2023

Abstract Impaired cerebrovascular function contributes to the genesis of age‐related cognitive decline. In this study, hypothesis is tested that impairments in neurovascular coupling (NVC) responses and brain network predict dysfunction older adults. Cerebromicrovascular working memory healthy young ( n = 21, 33.2±7.0 years) aged 30, 75.9±6.9 participants are assessed. To determine NVC functional connectivity (FC) during a (n‐back) paradigm, oxy‐ deoxyhemoglobin concentration changes from frontal cortex using near‐infrared spectroscopy recorded. significantly impaired 2‐back task participants, while networks characterized by higher local global connection strength, dynamic FC p < 0.05). Both increased correlate with decline accuracy task. These findings suggest task‐related states adults require stronger connections compensate for attenuated associated load.

Language: Английский

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Optimizing spatial specificity and signal quality in fNIRS: an overview of potential challenges and possible options for improving the reliability of real-time applications

Frontiers in Neuroergonomics, Journal Year: 2024, Volume and Issue: 5

Published: June 5, 2024

The optical brain imaging method functional near-infrared spectroscopy (fNIRS) is a promising tool for real-time applications such as neurofeedback and brain-computer interfaces. Its combination of spatial specificity mobility makes it particularly attractive clinical use, both at the bedside in patients' homes. Despite these advantages, optimizing fNIRS use requires careful attention to two key aspects: ensuring good maintaining high signal quality. While detects superficial cortical regions, consistently reliably targeting specific regions interest can be challenging, studies that require repeated measurements. Variations cap placement coupled with limited anatomical information may further reduce this accuracy. Furthermore, important maintain quality contexts ensure they reflect true underlying activity. However, signals are susceptible contamination by cerebral extracerebral systemic noise well motion artifacts. Insufficient preprocessing therefore cause system run on instead aim review article help advance progress fNIRS-based applications. It highlights potential challenges improving quality, discusses possible options overcome challenges, addresses considerations relevant By addressing topics, aims improve planning execution future studies, thereby increasing their reliability repeatability.

Language: Английский

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