Optimizing spatial specificity and signal quality in fNIRS: an overview of potential challenges and possible options for improving the reliability of real-time applications

Frontiers in Neuroergonomics, Journal Year: 2024, Volume and Issue: 5

Published: June 5, 2024

The optical brain imaging method functional near-infrared spectroscopy (fNIRS) is a promising tool for real-time applications such as neurofeedback and brain-computer interfaces. Its combination of spatial specificity mobility makes it particularly attractive clinical use, both at the bedside in patients' homes. Despite these advantages, optimizing fNIRS use requires careful attention to two key aspects: ensuring good maintaining high signal quality. While detects superficial cortical regions, consistently reliably targeting specific regions interest can be challenging, studies that require repeated measurements. Variations cap placement coupled with limited anatomical information may further reduce this accuracy. Furthermore, important maintain quality contexts ensure they reflect true underlying activity. However, signals are susceptible contamination by cerebral extracerebral systemic noise well motion artifacts. Insufficient preprocessing therefore cause system run on instead aim review article help advance progress fNIRS-based applications. It highlights potential challenges improving quality, discusses possible options overcome challenges, addresses considerations relevant By addressing topics, aims improve planning execution future studies, thereby increasing their reliability repeatability.

Language: Английский

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Brain compensatory activation during Stroop task in patients with mild cognitive impairment: a functional near-infrared spectroscopy study

Frontiers in Aging Neuroscience, Journal Year: 2025, Volume and Issue: 17

Published: Feb. 7, 2025

This study investigated the disparities in brain activation patterns during Stroop task among individuals with mild cognitive impairment (MCI) and those without any impairments (healthy controls, HCs) using functional near-infrared spectroscopy (fNIRS). We analyzed cortical of 73 patients MCI 63 HC as they completed task, employing fNIRS. The regions interest (ROIs) included dorsal prefrontal cortex (dPFC), ventrolateral (VLPFC), parietal lobe (PL). is divided into early stage (0-15 s) late (15-30 s). also measured participants' behavior variations intensity at different experiment stages, performed correlation analysis between Montreal Cognitive Assessment (MoCA) scores, performance, oxygenation levels. Our revealed that demonstrated elevated dPFC, VLPFC, PL areas while performing (q < 0.05, FDR-corrected). group displayed longer response latencies compared to demonstrating comparable accuracy performance across both congruent incongruent trials. showed compensatory Correlational a negative association MoCA scores levels (p 0.05). However, no was found behavioral performance. Mild effective compensation for their partial level by engaging prefrontal, task.

Language: Английский

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Pre-frontal Cortical Activity During Walking and Turning Is Reliable and Differentiates Across Young, Older Adults and People With Parkinson's Disease

Frontiers in Neurology, Journal Year: 2019, Volume and Issue: 10

Published: May 22, 2019

Introduction Mobility declines with age and further neurodegenerative disorders, such as Parkinson's disease (PD). Walking turning ability, in particular, are vital aspects of mobility that deteriorate impaired PD. Such deficits have been linked reduction automatic control movement the need for compensatory cognitive cortical via pre-frontal cortex (PFC), however underlying neural mechanisms remain unclear. Establishing using a robust methodology to examine PFC activity during continuous walking mobile functional near infra-red spectroscopy (fNIRS) may aid understanding help development appropriate therapeutics. This study aimed to: 1) test re-test reliability fNIRS measurement; 2) compare young, old subjects. Methods Twenty-five young (32.3±7.5 years), nineteen older (65.4±7.0 years) twenty-four PD (69.3±4.1 participants performed 360° turning-in-place tasks, each lasting 2 minutes. Young repeated tasks second time allow measurement assessment. The primary outcome was activity, assessed measuring changes oxygenated hemoglobin (HbO2) concentrations. Results moderately reproducible (Intra-class correlation coefficient = 0.67). group had higher activation than adults turning, significant differences bilateral (p=.025), left (p=.012) early period (first 40secs) (p=.007), greater required Interestingly, similar across conditions, specifically task (Cohens d 0.86). Conclusions can be measured acceptable reliability, differentiate groups. significantly compared walking, particularly when beginning walk.

Language: Английский

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fMRI-based validation of continuous-wave fNIRS of supplementary motor area activation during motor execution and motor imagery

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: March 4, 2022

Abstract Compared to functional magnetic resonance imaging (fMRI), near infrared spectroscopy (fNIRS) has several advantages that make it particularly interesting for neurofeedback (NFB). A pre-requisite NFB applications is with fNIRS, signals from the brain region of interest can be measured. This study focused on supplementary motor area (SMA). Healthy older participants (N = 16) completed separate continuous-wave (CW-) fNIRS and (f)MRI sessions. Data were collected executed imagined hand movements (motor imagery, MI), MI whole body movements. Individual anatomical data used (i) define regions fMRI analysis, (ii) extract BOLD response cortical corresponding channels, (iii) select channels. Concentration changes in oxygenated ( $$\Delta [HbO]$$ Δ [ H b O ] ) deoxygenated [HbR]$$ R hemoglobin considered analyses. Results revealed subtle differences between different tasks, indicating as well more specific signal. Selection channel set based individual anatomy did not improve results. Overall, indicates terms spatial specificity task sensitivity SMA activation reliably measured CW-fNIRS.

Language: Английский

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Comparing Multi-Dimensional fNIRS Features Using Bayesian Optimization-Based Neural Networks for Mild Cognitive Impairment (MCI) Detection

IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal Year: 2023, Volume and Issue: 31, P. 1019 - 1029

Published: Jan. 1, 2023

The diagnosis of mild cognitive impairment (MCI), a prodromal stage Alzheimer's disease (AD), is essential for initiating timely treatment to delay the onset AD. Previous studies have shown potential functional near-infrared spectroscopy (fNIRS) diagnosing MCI. However, preprocessing fNIRS measurements requires extensive experience identify poor-quality segments. Moreover, few explored how proper multi-dimensional features influence classification results disease. Thus, this study outlined streamlined method process and compared with neural networks in order explore temporal spatial factors affect MCI normality. More specifically, proposed using Bayesian optimization-based auto hyperparameter tuning evaluate 1D channel-wise, 2D spatial, 3D spatiotemporal detecting patients. highest test accuracies 70.83%, 76.92%, 80.77% were achieved 1D, 2D, features, respectively. Through comparisons, time-point oxyhemoglobin feature was proven be more promising by an dataset 127 participants. Furthermore, presented approach data processing, designed models required no manual tuning, which promoted general utilization modality network-based detect

Language: Английский

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Resting State Default Mode Network Connectivity, Dual Task Performance, Gait Speed, and Postural Sway in Older Adults with Mild Cognitive Impairment

Frontiers in Aging Neuroscience, Journal Year: 2017, Volume and Issue: 9

Published: Dec. 21, 2017

Aging is associated with an increased risk of falling. In particular, older adults mild cognitive impairment (MCI) are more vulnerable to falling compared their healthy counterparts. Major contributors this falls include a decline in dual task performance, gait speed, and postural sway. Recent evidence highlights the potential influence default mode network (DMN), frontoparietal (FPN), supplementary motor area (SMA) on The DMN active during rest deactivates task-oriented processes, maintain attention stay task. FPN SMA involved top-down attentional control, planning, execution. shows less deactivation MCI. This lack theorized increase competition for resources between task-related brain regions (e.g., SMA), increasing distraction from reducing performance. However, no study has yet investigated relationship between-network connectivity these walking, speed or We hypothesized that greater functional both within DMN-FPN DMN-SMA, will be poorer performance slower sway Forty MCI were measured task-walking paradigm, over 4-m walk, using sway-meter. Greater within-DMN was significantly correlated Furthermore, inter-network eyes open floor Thus, resting state may underlying neural mechanism reduced ability, sway, resulting mobility disability

Language: Английский

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Brain Activation and Gait Alteration During Cognitive and Motor Dual Task Walking in Stroke—A Functional Near-Infrared Spectroscopy Study

IEEE Transactions on Neural Systems and Rehabilitation Engineering, Journal Year: 2018, Volume and Issue: 26(12), P. 2416 - 2423

Published: Oct. 25, 2018

This paper investigated the effects of cognitive and motor dual tasks on gait performance brain activities in stroke; 23 stroke subjects performed single walking (SW), while performing task (WCT), (WMT) at self-selected speed. The was recorded, including speed, cadence, stride time, length, cost (DTC). Brain prefrontal cortex, premotor cortex (PMC), supplementary areas (SMAs) were measured by functional near-infrared spectroscopy during walking. Results showed significant decrease increase time noted both WCT WMT compared with SW condition. There no difference DTC between WMT. non-lesioned SMA most channels bilateral PMCs exhibited increases index hemoglobin differential SW. Moreover, negatively correlated lesioned different tasks. In conclusion, deteriorated attempting is two performance. Nevertheless, especially PMC crucial after stroke.

Language: Английский

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Dual-task exercises in older adults: A structured review of current literature

Journal of Frailty Sarcopenia and Falls, Journal Year: 2020, Volume and Issue: 05(02), P. 31 - 37

Published: May 30, 2020

Considerable attention has recently focused on the role of dual-task exercises (DT) in older adult.The aim was to conduct a review describe that have been shown be effective improving balance and other physical characteristics such as decreased falling walking speed adults.Review intervention studies, Pubmed, PEDro, CINAHL Web Science databases.The search produced 498 references, 11 which were identified with description exercises, finding wide variety well great variability outcome measures, discovering dual task is predominantly used for training.All studies presented at least one group performing double cognitive-motor task, some fixed priority modality variable another, greater improvements prioritisation.It can said training adults improve speed, turn reduces risk only if planned meets certain characteristics, specific concepts crucial motor learning modalities.

Language: Английский

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Exploring the Brain Responses to Driving Fatigue Through Simultaneous EEG and fNIRS Measurements

International Journal of Neural Systems, Journal Year: 2019, Volume and Issue: 30(01), P. 1950018 - 1950018

Published: June 4, 2019

Fatigue is one problem with driving as it can lead to difficulties sustaining attention, behavioral lapses, and a tendency ignore vital information or operations. In this research, we explore multimodal physiological phenomena in response fatigue through simultaneous functional near-infrared spectroscopy (fNIRS) electroencephalography (EEG) recordings the aim of investigating relationships between hemodynamic electrical features performance. Sixteen subjects participated an event-related lane-deviation task while measuring their brain dynamics fNIRS EEGs. Three performance groups, classified Optimal, Suboptimal, Poor, were defined for comparison. From our analysis, find that tonic variations occur before deviation, phasic afterward. The results show increased concentration oxygenated hemoglobin (HbO 2 ) power changes EEG theta, alpha, beta bands. Both are significantly correlated deteriorated demonstrate desynchronization associated onset steering vehicle all HbO decreased worsened. Further, negative correlations delta alpha oscillations suggest activations related mental fatigue. summary, combined electrodynamic activities provide complete knowledge brain’s responses evidence state during driving.

Language: Английский

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Cognitive-motor interference during gait in patients with Multiple Sclerosis: a mixed methods Systematic Review

Neuroscience & Biobehavioral Reviews, Journal Year: 2018, Volume and Issue: 94, P. 126 - 148

Published: Sept. 3, 2018

Language: Английский

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