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

---

The NIRS Brain AnalyzIR Toolbox

Algorithms, Journal Year: 2018, Volume and Issue: 11(5), P. 73 - 73

Published: May 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.

Language: Английский

---

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

Journal of Clinical Medicine, Journal Year: 2018, Volume and Issue: 7(12), P. 466 - 466

Published: Nov. 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

Language: Английский

---

Best practices for fNIRS publications

Neurophotonics, Journal Year: 2021, Volume and Issue: 8(01)

Published: Jan. 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.

Language: Английский

---

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

---

Mental workload and neural efficiency quantified in the prefrontal cortex using fNIRS

Scientific Reports, Journal Year: 2017, Volume and Issue: 7(1)

Published: July 6, 2017

Abstract An improved understanding of how the brain allocates mental resources as a function task difficulty is critical for enhancing human performance. Functional near infrared spectroscopy (fNIRS) field-deployable optical monitoring technology that provides direct measure cerebral blood flow in response to cognitive activity. We found fNIRS was sensitive variations both real-life (flight simulator) and laboratory settings (tests measuring executive functions), showing increased concentration oxygenated hemoglobin (HbO2) decreased deoxygenated (HHb) prefrontal cortex tasks became more complex. Intensity activation (HbO2 concentration) not clearly correlated Rather, intensity shed insight on level effort, i.e., hard an individual working accomplish task. When combined with performance, provided estimate participants’ neural efficiency, this efficiency consistent across levels same Overall, our data support suitability assess effort related operations represents promising tool measurement other contexts such training programs or clinical setting.

Language: Английский

---

fNIRS Optodes’ Location Decider (fOLD): a toolbox for probe arrangement guided by brain regions-of-interest

Scientific Reports, Journal Year: 2018, Volume and Issue: 8(1)

Published: Feb. 14, 2018

The employment of functional near-infrared spectroscopy (fNIRS) as a method brain imaging has increased over the last few years due to its portability, low-cost and robustness subject movement. Experiments with fNIRS are designed in face limited number sources detectors (optodes) be positioned on selected portion(s) scalp. optodes locations represent an expectation assessing cortical regions relevant experiment's hypothesis. However, this translation process remains challenge for experimental design. In present study, we propose approach that automatically decides location from set predefined positions aim maximizing anatomical specificity regions-of-interest. implemented is based photon transport simulations two head atlases. results compiled into publicly available "fNIRS Optodes' Location Decider" (fOLD). This toolbox first-order bring achieved advancements parcellation methods meta-analyses magnetic resonance more precisely guide selection optode experiments.

Language: Английский

---

A Review on the Use of Wearable Functional Near‐Infrared Spectroscopy in Naturalistic Environments

Japanese Psychological Research, Journal Year: 2018, Volume and Issue: 60(4), P. 347 - 373

Published: July 19, 2018

Abstract The development of novel miniaturized wireless and wearable functional near‐infrared spectroscopy (fNIRS) devices has paved the way for new brain imaging that could revolutionize cognitive research fields. Over past few decades, several studies have been conducted with conventional fNIRS systems demonstrated suitability this technology a wide variety populations applications, to investigate both healthy diseased brain. However, what makes even more appealing is its capability allow measurements in everyday‐life scenarios are not possible other gold‐standard neuroimaging modalities, such as magnetic resonance imaging. This huge impact on we explore neural bases mechanisms underpinning human functioning. aim review provide an overview naturalistic settings field neuroscience. In addition, present challenges associated use unrestrained contexts, discussing solutions will accurate inference activity. Finally, future perspectives neuroscience believe would benefit most from study devices.

Language: Английский

---

Mental stress assessment using simultaneous measurement of EEG and fNIRS

Biomedical Optics Express, Journal Year: 2016, Volume and Issue: 7(10), P. 3882 - 3882

Published: Sept. 6, 2016

Previous studies reported mental stress as one of the major contributing factors leading to various diseases such heart attack, depression and stroke. An accurate assessment method may thus be importance clinical intervention disease prevention. We propose a joint independent component analysis (jICA) based approach fuse simultaneous measurement electroencephalography (EEG) functional near-infrared spectroscopy (fNIRS) on prefrontal cortex (PFC) means assessment. For purpose this study, was induced by using an established arithmetic task under time pressure with negative feedback. The induction confirmed salivary alpha amylase test. Experiment results showed that proposed fusion EEG fNIRS measurements improves classification accuracy +3.4% compared alone +11% alone. Similar improvements were also observed in sensitivity specificity over unimodal EEG/fNIRS. Our study suggests combination (frontal rhythm) (concentration change oxygenated hemoglobin) could potential assess objectively.

Language: Английский

---

Functional near-infrared spectroscopy in movement science: a systematic review on cortical activity in postural and walking tasks

Neurophotonics, Journal Year: 2017, Volume and Issue: 4(4), P. 041403 - 041403

Published: Aug. 1, 2017

Safe locomotion is a crucial aspect of human daily living that requires well-functioning motor control processes. The neuromotor activities such as walking relies on the complex interaction subcortical and cortical areas. Technical developments in neuroimaging systems allow quantification activation during execution tasks. Functional near-infrared spectroscopy (fNIRS) seems to be promising tool monitor processes areas freely moving subjects. However, so far, there no established standardized protocol regarding application data processing fNIRS signals limits comparability among studies. Hence, this systematic review aimed summarize current knowledge about studies dealing with or postural Fifty-six articles an initial yield 1420 publications were reviewed information methodology, processing, findings extracted. Based our results, we outline recommendations respect design Future perspectives measuring movement science are discussed.

Language: Английский

---