Separation of the global and local components in functional near-infrared spectroscopy signals using principal component spatial filtering

Neurophotonics, Journal Year: 2016, Volume and Issue: 3(1), P. 015004 - 015004

Published: Feb. 5, 2016

Global systemic effects not specific to a task can be prominent in functional near-infrared spectroscopy (fNIRS) signals and the separation of task-specific fNIRS global nonspecific is challenging due waveform correlations. We describe principal component spatial filter algorithm for local effects. The effectiveness approach demonstrated using acquired during right finger-thumb tapping where response patterns are well established. Both temporal waveforms pattern consistencies between oxyhemoglobin deoxyhemoglobin significantly improved, consistent with basic physiological basis expected activity associated task.

Language: Английский

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fNIRS in the developmental sciences

Wiley Interdisciplinary Reviews Cognitive Science, Journal Year: 2015, Volume and Issue: 6(3), P. 263 - 283

Published: Feb. 23, 2015

Abstract With the introduction of functional near‐infrared spectroscopy ( fNIRS ) into experimental setting, developmental scientists have, for first time, capacity to investigate activation infant brain in awake, engaged participants. The advantages clearly outweigh limitations, and a description how this technology is implemented populations provided. Most research falls one three content domains: object processing, processing biologically socially relevant information, language development. Within these domains, there are ongoing debates about origins development human knowledge, making early neuroimaging particularly advantageous. use has allowed investigators begin identify localization object, social, linguistic knowledge immature ways which changes with time experience. In addition, small but growing body that provides insight neural mechanisms support facilitate learning during year life. At same as any emerging field, limitations conclusions can be drawn on basis current findings. We offer suggestions optimize answer questions theoretical practical importance scientists. WIREs Cogn Sci 2015, 6:263–283. doi: 10.1002/wcs.1343 This article categorized under: Psychology > Development Aging Neuroscience Cognition

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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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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Signal Processing in Functional Near-Infrared Spectroscopy (fNIRS): Methodological Differences Lead to Different Statistical Results

Frontiers in Human Neuroscience, Journal Year: 2018, Volume and Issue: 11

Published: Jan. 8, 2018

Even though research in the field of functional near-infrared spectroscopy (fNIRS) is being conducted for more than 20 years, a consensus on signal processing methods still lacking. A significant knowledge gap exists between established researchers and those newly entering field. One major issue regularly observed publications from new this neglect possible contamination by hemodynamic changes unrelated to neurovascular coupling (i.e. scalp blood flow systemic flow). This might be due fact that these use with tools provided manufacturers their devices without an advanced understanding performed steps. The aim present study was investigate how different approaches (including excluding partially correct contamination) affect results typical neuroimaging fNIRS. In particular, we evaluated one standard method commercial company compared it three customized investigated influence chosen statistical outcome clinical data set (task-evoked motor cortex activity). No short-channels were used therefore two types multi-channel corrections based multiple long-channels applied. choice had considerable study. While ignored fNIRS signals task-evoked physiological noise yielded several responses over whole head, significance findings disappeared when accounting using regression. We conclude that, lacking possibility applying multi-distance measurements, adoption confounding effect, yield realistic results. Furthermore, do not recommend as having every step.

Language: Английский

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Evaluation of Neural Degeneration Biomarkers in the Prefrontal Cortex for Early Identification of Patients With Mild Cognitive Impairment: An fNIRS Study

Frontiers in Human Neuroscience, Journal Year: 2019, Volume and Issue: 13

Published: Sept. 6, 2019

Mild cognitive impairment (MCI), a condition characterizing poor cognition, is associated with aging and depicts early symptoms of severe impairment, known as Alzheimer's disease (AD). Meanwhile, detection MCI can prevent progression to AD. A great deal research has been performed in the past decade on detection. However, availability biomarkers for requires greater attention. In our study, we evaluated putative reliable diagnosing by performing different mental tasks (i.e.,

Language: Английский

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Within-group synchronization in the prefrontal cortex associates with intergroup conflict

Nature Neuroscience, Journal Year: 2020, Volume and Issue: 23(6), P. 754 - 760

Published: April 27, 2020

Language: Английский

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Reduction of Delay in Detecting Initial Dips from Functional Near-Infrared Spectroscopy Signals Using Vector-Based Phase Analysis

International Journal of Neural Systems, Journal Year: 2016, Volume and Issue: 26(03), P. 1650012 - 1650012

Published: Jan. 14, 2016

In this paper, we present a systematic method to reduce the time lag in detecting initial dips using vector-based phase diagram and an autoregressive moving average with exogenous signals (ARMAX) model-based [Formula: see text]-step-ahead prediction algorithm. With functional near-infrared spectroscopy (fNIRS), related mental arithmetic right-hand clenching are acquired from prefrontal left primary motor cortices, respectively. The interrelationship between oxygenated hemoglobin, deoxygenated total hemoglobin cerebral oxygen exchange dips. Specifically, threshold value resting state hemodynamics is incorporated, as decision criterion, into determine occurrence of To further lag, applied predict A combination criterion resulted delay about 0.9[Formula: text]s. results demonstrate that rapid detection dip possible therefore can be used for real-time brain–computer interfacing.

Language: Английский

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fNIRS-based Neurorobotic Interface for gait rehabilitation

Journal of NeuroEngineering and Rehabilitation, Journal Year: 2018, Volume and Issue: 15(1)

Published: Feb. 5, 2018

In this paper, a novel functional near-infrared spectroscopy (fNIRS)-based brain-computer interface (BCI) framework for control of prosthetic legs and rehabilitation patients suffering from locomotive disorders is presented. fNIRS signals are used to initiate stop the gait cycle, while nonlinear proportional derivative computed torque controller (PD-CTC) with gravity compensation torques hip knee joints minimization position error. present study, brain walking intention rest tasks were acquired left hemisphere's primary motor cortex nine subjects. Thereafter, removal motion artifacts physiological noises, performances six different filters (i.e. Kalman, Wiener, Gaussian, hemodynamic response filter (hrf), Band-pass, finite impulse response) evaluated. Then, features extracted oxygenated hemoglobin signals, their combinations classification. Also, classification five classifiers k-Nearest Neighbour, quadratic discriminant analysis, linear analysis (LDA), Naïve Bayes, support vector machine (SVM)) tested. The accuracies obtained SVM using hrf significantly higher (p < 0.01) than those other classifier/ combinations. Those 77.5, 72.5, 68.3, 74.2, 73.3, 80.8, 65, 76.7, 86.7% subjects, respectively. commands generated initiated stopped cycle leg, which controlled PD-CTC minimize proposed scheme can be effectively neurofeedback training lower-limb amputees paralyzed patients.

Language: Английский

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Automated Processing of fNIRS Data—A Visual Guide to the Pitfalls and Consequences

Algorithms, Journal Year: 2018, Volume and Issue: 11(5), P. 67 - 67

Published: May 8, 2018

With the rapid increase in new fNIRS users employing commercial software, there is a concern that many studies are biased by suboptimal processing methods. The purpose of this study to provide visual reference showing effects different methods, help inform researchers setting up and evaluating pipeline. We show significant impact pre- post-processing choices stress again how important it combine data from both hemoglobin species order make accurate inferences about activation site.

Language: Английский

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