Advances and trends in the application of functional near-infrared spectroscopy for pediatric assessments: a bibliometric analysis DOI Creative Commons

Gao Lin,

Q. Lin, Tian Dong

et al.

Frontiers in Neurology, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 6, 2024

The objective is to elucidate the collaboration and current research status in pediatric field of fNIRS using bibliometric analysis, discuss future directions.

Language: Английский

Systemic physiology augmented functional near-infrared spectroscopy: a powerful approach to study the embodied human brain DOI Creative Commons
Felix Scholkmann, Ilias Tachtsidis, Martin Wolf

et al.

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

Citations

48

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

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

Citations

8

Functional near-infrared spectroscopy for the assessment and treatment of patients with disorders of consciousness DOI Creative Commons
Nan Wang, Yunteng He, Shiyu Zhu

et al.

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

Citations

1

Effects of Systemic Physiology on Mapping Resting-State Networks Using Functional Near-Infrared Spectroscopy DOI Creative Commons
Androu Abdalmalak, Sergio L. Novi, Karnig Kazazian

et al.

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

Citations

37

Compact and cost-effective laser-powered speckle contrast optical spectroscopy fiber-free device for measuring cerebral blood flow DOI Creative Commons
Yu Xi Huang, Simon Mahler,

Maya Dickson

et al.

Journal of Biomedical Optics, Journal Year: 2024, Volume and Issue: 29(06)

Published: May 31, 2024

SignificanceIn the realm of cerebrovascular monitoring, primary metrics typically include blood pressure, which influences cerebral flow (CBF) and is contingent upon vessel radius. Measuring CBF noninvasively poses a persistent challenge, primarily attributed to difficulty accessing obtaining signal from brain.AimOur study aims introduce compact speckle contrast optical spectroscopy device for noninvasive measurements at long source-to-detector distances, offering cost-effectiveness, scalability while tracking (BF) with remarkable sensitivity temporal resolution.ApproachThe wearable sensor module consists solely laser diode board camera. It can be easily placed on subject's head measure BF sampling rate 80 Hz.ResultsCompared single-fiber-based version, proposed achieved gain about 70 times, showed superior stability, reproducibility, signal-to-noise ratio measuring distances. The distributed in multiple configurations around head.ConclusionsGiven its scalability, simplicity, this laser-centric tool offers significant potential advancing monitoring technologies.

Language: Английский

Citations

7

Correcting physiological noise in whole-head functional near-infrared spectroscopy DOI Creative Commons
Fan Zhang, Daniel Cheong, Ali Fahim Khan

et al.

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

Citations

34

Neural correlates of eye contact and social function in autism spectrum disorder DOI Creative Commons
Joy Hirsch, Xian Zhang, J. Adam Noah

et al.

PLoS ONE, Journal Year: 2022, Volume and Issue: 17(11), P. e0265798 - e0265798

Published: Nov. 9, 2022

Reluctance to make eye contact during natural interactions is a central diagnostic criterion for autism spectrum disorder (ASD). However, the underlying neural correlates contacts in ASD are unknown, and biomarkers active areas of investigation. Here, neuroimaging, eye-tracking, pupillometry data were acquired simultaneously using two-person functional near-infrared spectroscopy (fNIRS) live “in-person” eye-to-eye eye-gaze at video face typically-developed (TD) participants with identify both groups. Comparisons between TD showed decreased right dorsal-parietal activity increased ventral temporal-parietal (p≤0.05, FDR-corrected) reduced cross-brain coherence consistent atypical systems contact. Hypoactivity regions was further associated gold standard measures social performance by correlation responses individual of: ADOS-2, Autism Diagnostic Observation Schedule, 2 nd Edition (r = -0.76, -0.92 -0.77); SRS-2, Social Responsiveness Scale, Second -0.58). The findings indicate that as categorized ability decreases, real eye-contact dorsal parietal region also decrease correlate characteristics ASD.

Language: Английский

Citations

27

Reducing false discoveries in resting-state functional connectivity using short channel correction: an fNIRS study DOI Creative Commons
Ishara Paranawithana, Darren Mao, Yan T. Wong

et al.

Neurophotonics, Journal Year: 2022, Volume and Issue: 9(01)

Published: Jan. 18, 2022

Significance: Functional near-infrared spectroscopy (fNIRS) is a neuroimaging tool that can measure resting-state functional connectivity; however, non-neuronal components present in fNIRS signals introduce false discoveries connectivity, which impact interpretation of networks. Aim: We investigated the effect short channel correction on connectivity by removing from long data. hypothesized be reduced, hence improving discriminability networks known, different strengths. Approach: A principal component analysis-based technique was applied to data 10 healthy adult subjects. Connectivity analyzed using magnitude-squared coherence pairs groups homologous and control brain regions, are known differ connectivity. Results: By correction, significant reduction observed for oxy-hemoglobin concentration changes frequency bands associated with overlap Mayer wave frequencies. The results showed reduced spurious correlations measures improved between groups. Conclusions: Resting-state analysis performs better than without its ability distinguish distinct characteristics.

Language: Английский

Citations

22

Performance comparison of systemic activity correction in functional near-infrared spectroscopy for methods with and without short distance channels DOI Creative Commons
Franziska Klein, Michael Lührs, Amaia Benitez-Andonegui

et al.

Neurophotonics, Journal Year: 2022, Volume and Issue: 10(01)

Published: Oct. 12, 2022

Functional near-infrared spectroscopy (fNIRS) is a promising tool for neurofeedback (NFB) or brain-computer interfaces (BCIs). However, fNIRS signals are typically highly contaminated by systemic activity (SA) artifacts, and, if not properly corrected, NFB BCIs run the risk of being based on noise instead brain activity. This can likely be reduced correcting SA, in particular when short-distance channels (SDCs) available. Literature comparing correction methods with and without SDCs still sparse, specifically comparisons considering single trials lacking.

Language: Английский

Citations

21

Neural mechanisms for emotional contagion and spontaneous mimicry of live facial expressions DOI Creative Commons
Joy Hirsch, Xian Zhang, J. Adam Noah

et al.

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2023, Volume and Issue: 378(1875)

Published: March 6, 2023

Viewing a live facial expression typically elicits similar by the observer (facial mimicry) that is associated with concordant emotional experience (emotional contagion). The model of embodied emotion proposes contagion and mimicry are functionally linked although neural underpinnings not known. To address this knowledge gap, we employed two-person paradigm ( n = 20 dyads) using functional near-infrared spectroscopy during emotive face-processing while also measuring eye-tracking, classifications ratings emotion. One dyadic partner, ‘Movie Watcher’, was instructed to emote natural expressions viewing evocative short movie clips. other ‘Face viewed Movie Watcher's face. Task rest blocks were implemented timed epochs clear opaque glass separated partners. Dyadic roles alternated experiment. Mean cross-partner correlations r 0.36 ± 0.11 s.e.m.) mean affect 0.67 0.04) consistent contagion, respectively. Neural correlates based on covariates partner included angular supramarginal gyri, whereas action units motor cortex ventral areas. Findings suggest distinct components for contagion. This article part discussion meeting issue ‘Face2face: advancing science social interaction’.

Language: Английский

Citations

12