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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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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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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Toward Neuroscience of the Everyday World (NEW) using functional near-infrared spectroscopy

Current Opinion in Biomedical Engineering, Journal Year: 2021, Volume and Issue: 18, P. 100272 - 100272

Published: Feb. 6, 2021

Language: Английский

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Effects of Systemic Physiology on Mapping Resting-State Networks Using Functional Near-Infrared Spectroscopy

Frontiers in Neuroscience, Journal Year: 2022, Volume and Issue: 16

Published: March 8, 2022

Resting-state functional connectivity (rsFC) has gained popularity mainly due to its simplicity and potential for providing insights into various brain disorders. In this vein, near-infrared spectroscopy (fNIRS) is an attractive choice portability, flexibility, low cost, allowing bedside imaging of function. While promising, fNIRS suffers from non-neural signal contaminations (i.e., systemic physiological noise), which can increase correlation across channels, leading spurious rsFC networks. the present work, we hypothesized that additional measurements with short heart rate, mean arterial pressure, end-tidal CO2 could provide a better understanding effects physiology on fNIRS-based resting-state To test our hypothesis, acquired 12 min data 10 healthy participants. Unlike previous studies, investigated efficacy different pre-processing approaches in extracting Our results are agreement studies reinforce fact overestimate rsFC. We expanded work by showing removal decreases intra- inter-subject variability, increasing ability detect neural changes groups over longitudinal studies. show removing physiology, reproduce networks often reported magnetic resonance (fMRI). Finally, details outlines how remove (or at least ameliorate) their contributions signals rest.

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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Using preregistration as a tool for transparent fNIRS study design

Neurophotonics, Journal Year: 2023, Volume and Issue: 10(02)

Published: March 8, 2023

The expansion of functional near-infrared spectroscopy (fNIRS) methodology and analysis tools gives rise to various design analytical decisions that researchers have make. Several recent efforts developed guidelines for preprocessing, analyzing, reporting practices. For the planning stage fNIRS studies, similar guidance is desirable. Study preregistration helps transparently document study protocols before conducting study, including materials, methods, analyses, thus, others verify, understand, reproduce a study. Preregistration can thus serve as useful tool transparent, careful, comprehensive design.We aim create guide on steps involved in studies provide template specified studies.The presented has strong focus specific requirements, associated provides examples based continuous-wave (CW) conducted humans. These can, however, be extended other types studies.On step-by-step basis, we walk user through key methodological analysis-related aspects central design. include items CW, task-based but also sections are general importance, an in-depth elaboration sample size planning.Our introduces these open science community, providing with overview specification recommendations planning. As such it used preregister or merely transparent

Language: Английский

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Altered resting-state functional connectivity in newborns with hypoxic ischemic encephalopathy assessed using high-density functional near-infrared spectroscopy

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Feb. 7, 2024

Abstract Hypoxic-ischemic encephalopathy (HIE) results from a lack of oxygen to the brain during perinatal period. HIE can lead mortality and various acute long-term morbidities. Improved bedside monitoring methods are needed identify biomarkers health. Functional near-infrared spectroscopy (fNIRS) assess resting-state functional connectivity (RSFC) at bedside. We acquired fNIRS data 21 neonates with (postmenstrual age [PMA] = 39.96), in 19 scans were post-therapeutic hypothermia (TH), 20 term-born healthy newborns (PMA 39.93). Twelve also underwent magnetic resonance imaging (fMRI) post-TH. RSFC was calculated as correlation coefficients amongst time courses for fMRI data, respectively. The maps comparable. patterns then measured graph theory metrics compared between infants controls. showed significantly increased clustering coefficients, network efficiency modularity Using support vector machine algorithm, features demonstrated good performance classifying separate groups. Our indicate utility fNIRS-connectivity potential new tool HIE.

Language: Английский

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Comparison of short-channel separation and spatial domain filtering for removal of non-neural components in functional near-infrared spectroscopy signals

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

Published: Feb. 13, 2021

Significance: With the increasing popularity of functional near-infrared spectroscopy (fNIRS), need to determine localization source and nature signals has grown. Aim: We compare strategies for removal non-neural a finger-thumb tapping task, which shows responses in contralateral motor cortex visual checkerboard viewing task that produces activity within occipital lobe. Approach: temporal regression using short-channel separation spatial principal component (PC) filter removes global present all channels. For regression, we signal first combined second PCs from broad distribution short channels limited on forehead. Results: Temporal information broadly distributed did not differ forehead-only distribution. Spatial PC filtering provides results similar domain. Utilizing both additional information. Conclusions: conclude domain methods remove components represented scalp hemodynamics fNIRS either technique is sufficient components.

Language: Английский

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Correcting physiological noise in whole-head functional near-infrared spectroscopy

Journal of Neuroscience Methods, Journal Year: 2021, Volume and Issue: 360, P. 109262 - 109262

Published: June 17, 2021

Functional near-infrared spectroscopy (fNIRS) has been increasingly employed to monitor cerebral hemodynamics in normal and diseased conditions. However, fNIRS suffers from its susceptibility superficial activity systemic physiological noise. The objective of the study was establish a noise reduction method for whole-head montage.We have developed an automated denoising fNIRS. A high-density montage consisting 109 long-separation channels 8 short-separation used recording. Auxiliary sensors were also measure motion, respiration pulse simultaneously. incorporates principal component analysis general linear model identify remove globally uniform component. Our evaluated experimental data acquired group healthy human subjects during visually cued motor task further compared with minimal preprocessing three established methods literature. Quantitative metrics including contrast-to-noise ratio, within-subject standard deviation adjusted coefficient determination evaluated.After denoising, topography revealed focal activations concurrently primary visual areas.Analysis showed that our improves upon four literature.An automatic, effective robust pipeline removing recordings. can enable as reliable tool monitoring large-scale, network-level brain activities clinical uses.

Language: Английский

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