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

Annals of the New York Academy of Sciences, Год журнала: 2018, Номер 1464(1), С. 5 - 29

Опубликована: Авг. 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

Язык: Английский

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The NIRS Brain AnalyzIR Toolbox

Algorithms, Год журнала: 2018, Номер 11(5), С. 73 - 73

Опубликована: Май 16, 2018

Functional near-infrared spectroscopy (fNIRS) is a noninvasive neuroimaging technique that uses low-levels of light (650–900 nm) to measure changes in cerebral blood volume and oxygenation. Over the last several decades, this has been utilized growing number functional resting-state brain studies. The lower operation cost, portability, versatility method make it an alternative methods such as magnetic resonance imaging for studies pediatric special populations without confining limitations supine motionless acquisition setup. However, analysis fNIRS data poses challenges stemming from unique physics technique, statistical properties data, diversity non-traditional experimental designs being due flexibility technology. For these reasons, specific technology must be developed. In paper, we introduce NIRS Brain AnalyzIR toolbox open-source Matlab-based package management, pre-processing, first- second-level (i.e., single subject group-level) analysis. Here, describe basic architectural format toolbox, which based on object-oriented programming paradigm. We also detail algorithms major components including analysis, probe registration, image reconstruction, region-of-interest statistics.

Язык: Английский

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Best practices for fNIRS publications

Neurophotonics, Год журнала: 2021, Номер 8(01)

Опубликована: Янв. 7, 2021

The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has been expanding over last 40 years. Today, it is addressing a wide range applications within different populations and utilizes great variety experimental paradigms. With rapid growth diversification research methods, some inconsistencies are appearing way which methods presented, can make interpretation replication studies unnecessarily challenging. Society for Functional Near-Infrared Spectroscopy thus motivated to organize representative (but not exhaustive) group leaders field build consensus on best practices describing utilized fNIRS studies. Our paper designed provide guidelines help enhance reliability, repeatability, traceability reported encourage throughout community. A checklist provided guide authors preparation their manuscripts assist reviewers when evaluating papers.

Язык: Английский

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

Journal of Clinical Medicine, Год журнала: 2018, Номер 7(12), С. 466 - 466

Опубликована: Ноя. 22, 2018

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

Язык: 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, Год журнала: 2019, Номер 12

Опубликована: Янв. 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.

Язык: Английский

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NIRS-KIT: a MATLAB toolbox for both resting-state and task fNIRS data analysis

Neurophotonics, Год журнала: 2021, Номер 8(01)

Опубликована: Янв. 25, 2021

Significance: Functional near-infrared spectroscopy (fNIRS) has been widely used to probe human brain function during task state and resting state. However, the existing analysis toolboxes mainly focus on activation analysis, few software packages can assist resting-state fNIRS studies. Aim: We aimed provide a versatile easy-to-use toolbox perform for both fNIRS. Approach: developed MATLAB called NIRS-KIT that works detection. Results: implements common necessary processing steps performing data including preparation, quality control, preprocessing, individual-level group-level statistics with several popular statistical models, multiple comparison correction methods, finally results visualization. For functional connectivity graph theory-based network amplitude of low-frequency fluctuations are provided. Additionally, also supports Conclusions: offers an open source tool researchers analyze and/or in one suite. It contains key features: (1) good compatibility, supporting recording systems, formats NIRS-SPM Homer2, shared format recommended by society; (2) flexibility, customized preprocessing scripts; (3) ease-to-use, allowing signals batch manner user-friendly graphical user interfaces; (4) feature-packed viewing result anticipate this will facilitate development field.

Язык: Английский

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Optical imaging and spectroscopy for the study of the human brain: status report

Neurophotonics, Год журнала: 2022, Номер 9(S2)

Опубликована: Авг. 30, 2022

This report is the second part of a comprehensive two-part series aimed at reviewing an extensive and diverse toolkit novel methods to explore brain health function. While first focused on neurophotonic tools mostly applicable animal studies, here, we highlight optical spectroscopy imaging relevant noninvasive human studies. We outline current state-of-the-art technologies software advances, most recent impact these neuroscience clinical applications, identify areas where innovation needed, provide outlook for future directions.

Язык: Английский

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Signal Processing in Functional Near-Infrared Spectroscopy (fNIRS): Methodological Differences Lead to Different Statistical Results

Frontiers in Human Neuroscience, Год журнала: 2018, Номер 11

Опубликована: Янв. 8, 2018

Even though research in the field of functional near-infrared spectroscopy (fNIRS) is being conducted for more than 20 years, a consensus on signal processing methods still lacking. A significant knowledge gap exists between established researchers and those newly entering field. One major issue regularly observed publications from new this neglect possible contamination by hemodynamic changes unrelated to neurovascular coupling (i.e. scalp blood flow systemic flow). This might be due fact that these use with tools provided manufacturers their devices without an advanced understanding performed steps. The aim present study was investigate how different approaches (including excluding partially correct contamination) affect results typical neuroimaging fNIRS. In particular, we evaluated one standard method commercial company compared it three customized investigated influence chosen statistical outcome clinical data set (task-evoked motor cortex activity). No short-channels were used therefore two types multi-channel corrections based multiple long-channels applied. choice had considerable study. While ignored fNIRS signals task-evoked physiological noise yielded several responses over whole head, significance findings disappeared when accounting using regression. We conclude that, lacking possibility applying multi-distance measurements, adoption confounding effect, yield realistic results. Furthermore, do not recommend as having every step.

Язык: Английский

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

Gait & Posture, Год журнала: 2020, Номер 82, С. 254 - 265

Опубликована: Сен. 18, 2020

Язык: Английский

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Automated Processing of fNIRS Data—A Visual Guide to the Pitfalls and Consequences

Algorithms, Год журнала: 2018, Номер 11(5), С. 67 - 67

Опубликована: Май 8, 2018

With the rapid increase in new fNIRS users employing commercial software, there is a concern that many studies are biased by suboptimal processing methods. The purpose of this study to provide visual reference showing effects different methods, help inform researchers setting up and evaluating pipeline. We show significant impact pre- post-processing choices stress again how important it combine data from both hemoglobin species order make accurate inferences about activation site.

Язык: Английский

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