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

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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, 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

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Temporal Derivative Distribution Repair (TDDR): A motion correction method for fNIRS

NeuroImage, Journal Year: 2018, Volume and Issue: 184, P. 171 - 179

Published: Sept. 11, 2018

Language: Английский

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

Neurophotonics, Journal Year: 2022, Volume and Issue: 9(S2)

Published: Aug. 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.

Language: Английский

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Quantitative comparison of correction techniques for removing systemic physiological signal in functional near-infrared spectroscopy studies

Neurophotonics, Journal Year: 2020, Volume and Issue: 7(03)

Published: Sept. 23, 2020

Significance: Isolating task-evoked brain signals from background physiological noise (e.g., cardiac, respiratory, and blood pressure fluctuations) poses a major challenge for the analysis of functional near-infrared spectroscopy (fNIRS) data. Aim: The performance several analytic methods to separate activity including spatial temporal filtering, regression, component analysis, use short-separation (SS) measurements were quantitatively compared. Approach: Using experimentally recorded (breath-hold task), receiver operating characteristics simulations performed by adding various levels additive synthetic “brain” responses in order examine sensitivity specificity previously proposed approaches. Results: We found that SS fNIRS channels as regressors no-interest within linear regression model was best performing approach examined. Furthermore, we addition all available data, both hemoglobin species, improved method despite additional degrees-of-freedom models. When data not available, principal filtering using baseline scan alternative. Conclusions: multiple no interest implemented robust, iteratively prewhitened, general has tested existing methods.

Language: Английский

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Obesity-induced cognitive impairment in older adults: a microvascular perspective

AJP Heart and Circulatory Physiology, Journal Year: 2020, Volume and Issue: 320(2), P. H740 - H761

Published: Dec. 18, 2020

Over two-thirds of individuals aged 65 and older are obese or overweight in the United States. Epidemiological data show an association between degree adiposity cognitive dysfunction elderly. In this review, pathophysiological roles microvascular mechanisms, including impaired endothelial function neurovascular coupling responses, rarefaction, blood-brain barrier disruption genesis impairment geriatric obesity considered. The potential contribution adipose-derived factors fundamental cellular molecular mechanisms senescence to exacerbated obesity-induced cerebromicrovascular decline aging discussed.

Language: Английский

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Analysis methods for measuring passive auditory fNIRS responses generated by a block-design paradigm

Neurophotonics, Journal Year: 2021, Volume and Issue: 8(02)

Published: May 22, 2021

Functional near-infrared spectroscopy (fNIRS) is an increasingly popular tool in auditory research, but the range of analysis procedures employed across studies may complicate interpretation data.

Language: Английский

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Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A Review

Frontiers in Human Neuroscience, Journal Year: 2021, Volume and Issue: 14

Published: Jan. 25, 2021

Human gait is a complex activity that requires high coordination between the central nervous system, limb, and musculoskeletal system. More research needed to understand latter coordination's complexity in designing better more effective rehabilitation strategies for disorders. Electroencephalogram (EEG) functional near-infrared spectroscopy (fNIRS) are among most used technologies monitoring brain activities due portability, non-invasiveness, relatively low cost compared others. Fusing EEG fNIRS well-known established methodology proven enhance brain–computer interface (BCI) performance terms of classification accuracy, number control commands, response time. Although there has been significant exploring hybrid BCI (hBCI) involving both different types tasks human activities, remains still underinvestigated. In this article, we aim shed light on recent development analysis using EEG-fNIRS-based The current review followed guidelines preferred reporting items systematic reviews meta-Analyses (PRISMA) during data collection selection phase. review, put particular focus commonly signal processing machine learning algorithms, as well survey potential applications analysis. We distill some critical findings follows. First, hardware specifications experimental paradigms should be carefully considered because their direct impact quality assessment. Second, since modalities, fNIRS, sensitive motion artifacts, instrumental, physiological noises, quest robust sophisticated algorithms. Third, temporal spatial features, obtained by virtue fusing associated with cortical activation, can help identify correlation activation gait. conclusion, hBCI (EEG + fNIRS) system not yet much explored lower limb its higher limb. Existing systems tend only one modality. foresee vast adopting Imminent technical breakthroughs expected assistive devices Monitor neuro-plasticity neuro-rehabilitation. However, although those perform controlled environment when it comes them certified medical device real-life clinical applications, long way go.

Language: Английский

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Systemic physiology augmented functional near-infrared spectroscopy: a powerful approach to study the embodied human brain

Neurophotonics, Journal Year: 2022, Volume and Issue: 9(03)

Published: July 11, 2022

In this Outlook paper, we explain why an accurate physiological interpretation of functional near-infrared spectroscopy (fNIRS) neuroimaging signals is facilitated when systemic activity (e.g., cardiorespiratory and autonomic activity) measured simultaneously by employing physiology augmented (SPA-fNIRS). The rationale for SPA-fNIRS twofold: (i) enables a more complete understanding the fNIRS at head since they contain components originating from neurovascular coupling sources. with can be used regressing out confounding in signals. Misinterpretations thus minimized. (ii) to study embodied brain linking state entire body, allowing novel insights into their complex interplay. We envisage approach will become increasingly important future.

Language: Английский

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A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications

Brain Sciences, Journal Year: 2022, Volume and Issue: 12(6), P. 788 - 788

Published: June 15, 2022

Magnetoencephalography (MEG) plays a pivotal role in the diagnosis of brain disorders. In this review, we have investigated potential MEG applications for analysing The signal-to-noise ratio (SNRMEG = 2.2 db, SNREEG < 1 db) and spatial resolution (SRMEG 2–3 mm, SREEG 7–10 mm) is higher than EEG, thus potentially facilitates accurate monitoring cortical activity. We found that direct electrophysiological signals reflected physiological status neurological disorders play vital disease diagnosis. Single-channel connectivity, as well network analysis, using data acquired during resting state given task has been used such epilepsy, Alzheimer’s, Parkinsonism, autism, schizophrenia. workflow its therapeutic planning are also discussed. forecast computer-aided algorithms will prominent prediction diseases future. outcome narrative review aid researchers to utilise diagnostics.

Language: Английский

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