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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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

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

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

Published: Jan. 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.

Language: Английский

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The Potential of Functional Near-Infrared Spectroscopy-Based Neurofeedback—A Systematic Review and Recommendations for Best Practice

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

Published: July 21, 2020

Background: The effects of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI)-neurofeedback on brain activation behaviors have been studied extensively in the past. More recently, researchers begun to investigate near-infrared spectroscopy-based neurofeedback (fNIRS-neurofeedback). FNIRS is a neuroimaging technique based hemodynamics, which easy use, portable, inexpensive, has reduced sensitivity movement artifacts. Method: We provide first systematic review database fNIRS-neurofeedback studies, synthesizing findings from 22 peer-reviewed studies (including total N = 441 participants; 337 healthy, 104 patients). (1) give comprehensive overview how training protocols were implemented, (2) online signal-processing methods used, (3) evaluate quality using pre-set methodological reporting criteria also present statistical sensitivity/power analyses, (4) effectiveness modulating activation, (5) its changing behavior healthy pathological populations. Results discussion: (1-2) Published are heterogeneous (e.g., targets, investigated populations, applied protocols, methods). Large randomized controlled trials still lacking. In view novelty field, published moderate. identified room for improvement important information power detect realistic effects. Several show that people can regulate hemodynamic signals cortical regions with these indicate feasibility motor control prefrontal functioning participants ameliorating symptoms clinical populations (stroke, ADHD, autism, social anxiety). However, valid conclusions about specificity or potential utility premature. Conclusion: Due advantages practicability relatively low cost, might suitable powerful alternative EEG fMRI great translation neurofeedback. Together more rigorous research practices, further improvements may lead solid understanding fNIRS-neurofeedback. Future will benefit exploiting fNIRS, offers unique opportunities research.

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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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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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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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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Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 3, 2025

Background Advances in neuroimaging have significantly enhanced our understanding of brain function, providing critical insights into the diagnosis and management disorders consciousness (DoC). Functional near-infrared spectroscopy (fNIRS), with its real-time, portable, noninvasive imaging capabilities, has emerged as a promising tool for evaluating functional activity nonrecovery potential DoC patients. This review explores current applications fNIRS research, identifies limitations, proposes future directions to optimize clinical utility. Aim examines application monitoring DoC. Specifically, it investigates value combining brain-computer interfaces (BCIs) closed-loop neuromodulation systems patients DoC, aiming elucidate mechanisms that promote neurological recovery. Methods A systematic analysis was conducted on 155 studies published between January 1993 October 2024, retrieved from Web Science Core Collection database. Results Analysis 21 eligible diseases involving 262 revealed significant findings. The prefrontal cortex most frequently targeted region. proven crucial assessing connectivity activation, facilitating Furthermore, plays pivotal role treatment through techniques such deep stimulation (DBS) spinal cord (SCS). Conclusion As noninvasive, real-time tool, holds promise advancing assessment Despite limitations low spatial resolution need standardized protocols, demonstrated utility residual activity, detecting covert consciousness, therapeutic interventions. In addition levels, offers unique advantages tracking hemodynamic changes associated neuroregulatory treatments, including DBS SCS. By feedback cortical facilitates optimizing strategies supports individualized planning. Continued research addressing technical methodological challenges will further establish an indispensable diagnosis, prognosis,

Language: Английский

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A novel GLM-based method for the Automatic IDentification of functional Events (AIDE) in fNIRS data recorded in naturalistic environments

NeuroImage, Journal Year: 2017, Volume and Issue: 155, P. 291 - 304

Published: May 2, 2017

Recent technological advances have allowed the development of portable functional Near-Infrared Spectroscopy (fNIRS) devices that can be used to perform neuroimaging in real-world. However, as real-world experiments are designed mimic everyday life situations, identification event onsets extremely challenging and time-consuming. Here, we present a novel analysis method based on general linear model (GLM) least square fit for Automatic IDentification Events (or AIDE) directly from fNIRS data. In order investigate accuracy feasibility this method, proof-of-principle applied algorithm (i) synthetic data simulating both block-, event-related mixed-design (ii) experimental recorded during conventional lab-based task (involving maths). AIDE was able recover events simulated with an 89%, 97% 91% respectively. For experiment, recovered more than 66.7% measured To illustrate strength then by wearable system one participant complex prospective memory experiment conducted outside lab. As part there were four six (actions where participants had interact target) two different conditions respectively (condition 1: social-interact person; condition 2: non-social-interact object). managed 3/4 3/6 1 2 The identified corresponded behavioural video recordings movements actions participant. Our results suggest "brain-first" rather "behaviour-first" is possible provide solution analyse data, filling gap between real-life testing neuroimaging.

Language: Английский

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