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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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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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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Concurrent fNIRS and EEG for Brain Function Investigation: A Systematic, Methodology-Focused Review

Sensors, Journal Year: 2022, Volume and Issue: 22(15), P. 5865 - 5865

Published: Aug. 5, 2022

Electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) stand as state-of-the-art techniques for non-invasive neuroimaging. On a unimodal basis, EEG has poor spatial resolution while presenting high temporal resolution. In contrast, fNIRS offers better resolution, though it is constrained by its One important merit shared the that both modalities have favorable portability could be integrated into compatible experimental setup, providing compelling ground development of multimodal fNIRS-EEG integration analysis approach. Despite growing number studies using concurrent designs reported in recent years, methodological reference past remains unclear. To fill this knowledge gap, review critically summarizes status methods currently used studies, an up-to-date overview guideline future projects to conduct studies. A literature search was conducted PubMed Web Science through 31 August 2021. After screening qualification assessment, 92 involving data recordings analyses were included final review. Specifically, three categories analyses, including EEG-informed fNIRS-informed parallel identified explained with detailed description. Finally, we highlighted current challenges potential directions research.

Language: Английский

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Cognitive Effort during Visuospatial Problem Solving in Physical Real World, on Computer Screen, and in Virtual Reality

Sensors, Journal Year: 2024, Volume and Issue: 24(3), P. 977 - 977

Published: Feb. 2, 2024

Spatial cognition plays a crucial role in academic achievement, particularly science, technology, engineering, and mathematics (STEM) domains. Immersive virtual environments (VRs) have the growing potential to reduce cognitive load improve spatial reasoning. However, traditional methods struggle assess mental effort required for visuospatial processes due difficulty verbalizing actions other limitations self-reported evaluations. In this neuroergonomics study, we aimed capture neural activity associated with workload during tasks evaluate impact of visualization medium on task performance. We utilized functional near-infrared spectroscopy (fNIRS) wearable neuroimaging spatial-reasoning-based problem-solving compared VR, computer screen, physical real-world presentation. Our results reveal higher efficiency prefrontal cortex (PFC) 3D geometry puzzles VR settings world screen. appears by facilitating providing visual cues. This makes it valuable tool training, especially beginners. Additionally, our multimodal approach allows progressively increasing complexity, maintaining challenge throughout training. study underscores developing skills highlights value comparing brain data human interaction across different training settings.

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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A Mini-Review on Functional Near-Infrared Spectroscopy (fNIRS): Where Do We Stand, and Where Should We Go?

Photonics, Journal Year: 2019, Volume and Issue: 6(3), P. 87 - 87

Published: Aug. 1, 2019

This mini-review is aimed at briefly summarizing the present status of functional near-infrared spectroscopy (fNIRS) and predicting where technique should go in next decade. quotes 33 articles on different fNIRS basics technical developments 44 reviews applications published last eight years. The huge number review about a wide spectrum topics field cognitive social sciences, neuroimaging research, medicine testifies to maturity achieved by this non-invasive optical vascular-based technique. Today, has started be utilized healthy subjects while moving freely naturalistic settings. Further instrumental are expected done near future fully satisfy latter important aspect. In addition, procedures, including correction methods for strong extracranial interferences, need standardized before using as clinical tool individual patients. New research avenues such interactive neurosciences, cortical activation modulated type sport performance, during neurofeedback training highlighted.

Language: Английский

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Using the General Linear Model to Improve Performance in fNIRS Single Trial Analysis and Classification: A Perspective

Frontiers in Human Neuroscience, Journal Year: 2020, Volume and Issue: 14

Published: Feb. 18, 2020

Within a decade, single trial analysis of functional Near Infrared Spectroscopy (fNIRS) signals has gained significant momentum, and fNIRS joined the set modalities frequently used for active passive Brain Computer Interfaces (BCI). A great variety methods feature extraction classification have been explored using state-of-the-art Machine Learning methods. In contrast, signal preprocessing cleaning pipelines often follow simple recipes so far rarely incorporate available in adjacent fields. neuroscience, where fMRI are established neuroimaging tools, evoked hemodynamic brain activity is typically estimated across multiple trials General Linear Model (GLM). With help GLM, subject, channel, task specific responses estimated, more robustly separated from systemic physiological interference independent measures nuisance regressors, such as short-separation measurements. When correctly applied analysis, e.g., BCI, this approach can significantly enhance contrast to noise ratio signal, improve separability ultimately lead better accuracy. manuscript, we provide brief introduction into GLM show how it typical BCI pipeline cross-validation. Using resting state data augmented with synthetic that ground truth activity, compare quality commonly features extracted (1) conventionally preprocessed signals, (2) regressors. We GLM-based estimates well new type, i.e., weight individual channel-specific response function (HRF) regressor. The improved yield higher separability, accuracy binary when compared conventional preprocessing-on average +7.4% subjects types. propose adapt well-established neuroscience domain single-trial wherever concern, instance BCI.

Language: Английский

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Brain and motor synchrony in children and adolescents with ASD—a fNIRS hyperscanning study

Social Cognitive and Affective Neuroscience, Journal Year: 2020, Volume and Issue: 16(1-2), P. 103 - 116

Published: June 29, 2020

Brain-to-brain synchrony has been proposed as an important mechanism underlying social interaction. While first findings indicate that it may be modulated in children with autism spectrum disorder (ASD), no study to date investigated the influence of different interaction partners and task characteristics. Using functional near-infrared spectroscopy hyperscanning, we assessed brain-to-brain 41 male typically developing (TD) (8-18 years; control sample), well 18 ASD age-matched TD (matched while performing cooperative competitive tasks their parents adult stranger. Dyads were instructed either respond jointly response a target (cooperation) or faster than other player (competition). Wavelet coherence was calculated for oxy- deoxyhemoglobin brain signals. In sample, widespread enhanced observed parent-child competition, more localized cooperation frontopolar cortex. behaviorally, showed lower motor group, significant group differences on neural level. order identify biomarkers typical atypical interactions long run, research is needed investigate neurobiological underpinnings reduced ASD.

Language: Английский

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Short-channel regression in functional near-infrared spectroscopy is more effective when considering heterogeneous scalp hemodynamics

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

Published: Sept. 29, 2020

Significance: The reliability of functional near-infrared spectroscopy (fNIRS) measurements is reduced by systemic physiology. Short-channel regression algorithms aim at removing “noise” subtracting the signal measured a short source–detector separation (mainly scalp hemodynamics) from one long (brain and hemodynamics). In literature, incongruent approaches on selection optimal regressor are reported based different assumptions hemodynamics properties. Aim: We investigated spatial temporal distribution over sensorimotor cortex evaluated its influence effectiveness short-channel regressions. Approach: performed hand-grasping resting-state experiments with five subjects, measuring 16 optodes areas, including eight 8-mm channels. detailed correlation analyses 180 270 simulated (overlaid measurements) trials. Five combinations were implemented general linear models. Three chosen according to two proposed additional physiological [considering multiple channels their Mayer wave (MW) oscillations]. Results: found heterogeneous in scalp, coming top global close-to-homogeneous behavior (correlation 0.69 0.92). results further demonstrate that always improves brain activity estimates but better obtained when heterogeneity assumed. particular, we highlight more effective combining regressors MWs additionally included. Conclusion: shed light signals for improving removal artifacts fNIRS. conclude most assuming hemodynamics, particular spatial- frequency-specific information. A understanding will promote accurate assessments clinical research settings.

Language: Английский

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