Functional Near-Infrared Spectroscopy (fNIRS) for Assessing Cerebral Cortex Function During Human Behavior in Natural/Social Situations: A Concise Review

Organizational Research Methods, Journal Year: 2016, Volume and Issue: 22(1), P. 46 - 68

Published: July 18, 2016

Upon adequate stimulation, real-time maps of cortical hemodynamic responses can be obtained by functional near-infrared spectroscopy (fNIRS), which noninvasively measures changes in oxygenated and deoxygenated hemoglobin after positioning multiple sources detectors over the human scalp. This review is aimed at giving a concise simple overview basic principles fNIRS including features, strengths, advantages, limitations, utility for evaluating behavior. The transportable/wireless commercially available systems have time resolution 1 to 10 Hz, depth sensitivity about 1.5 cm, spatial up cm. has been found suitable many applications on beings, either adults or infants/children, field social sciences, neuroimaging research, medicine. Some examples present future prospects assessing cerebral cortex function during behavior different situations (in natural situations) will provided. Moreover, most recent studies investigating interpersonal interactions adopting hyperscanning approach, consists measurement brain activity simultaneously two more people, reported.

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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Neural substrates of early executive function development

Developmental Review, Journal Year: 2019, Volume and Issue: 52, P. 42 - 62

Published: June 1, 2019

In the last decade, advances in neuroimaging technologies have given rise to a large number of research studies that investigate neural underpinnings executive function (EF). EF has long been associated with prefrontal cortex (PFC) and involves both unified, general element, as well distinct, separable elements working memory, inhibitory control set shifting. We will highlight value utilising techniques uncover answers some most pressing questions field early development. First, this review explore development substrates each element EF. Second, structural, anatomical biochemical changes occur PFC during infancy throughout childhood be examined, order address importance these for Third, connectivity between regions other brain areas is reviewed. Finally, more recent developments addressed, alongside implications further elucidating future.

Language: Английский

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Recommendations for motion correction of infant fNIRS data applicable to multiple data sets and acquisition systems

NeuroImage, Journal Year: 2019, Volume and Issue: 200, P. 511 - 527

Published: June 25, 2019

Despite motion artifacts are a major source of noise in fNIRS infant data, how to approach correction this population has only recently started be investigated. Homer2 offers wide range methods and previous work on simulated adult data suggested the use Spline interpolation Wavelet filtering as optimal for recovery trials affected by motion. However, differ from those adults' both amplitude frequency occurrence. Therefore, artifact recommendations derived might not data. We hypothesized that combined would outperform their individual with complex profiles artifacts. To demonstrate this, we first compared, semi-simulated performance several techniques own novel approach; then, investigated alone combination real cognitive three datasets collected infants different ages (5, 7 10 months), tasks (auditory, visual tactile) NIRS systems. quantitatively estimate compare efficacy these techniques, adopted four metrics: hemodynamic response error, within-subject standard deviation, between-subjects deviation number survived each method. Our results demonstrated (i) it is always better correcting than rejecting corrupted trials; (ii) its seems most effective reducing between- deviations. Importantly, was providing best semi-simulation at low high levels noise, also recovering across all datasets, crucial result when working

Language: Английский

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Quantum Machine Learning Revolution in Healthcare: A Systematic Review of Emerging Perspectives and Applications

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 11423 - 11450

Published: Jan. 1, 2024

Quantum computing (QC) stands apart from traditional systems by employing revolutionary techniques for processing information. It leverages the power of quantum bits (qubits) and harnesses unique properties exhibited subatomic particles, such as superposition, entanglement, interference. These phenomena enable computers to operate on an entirely different level, exponentially surpassing computational capabilities classical computers. By manipulating qubits capitalising their states, QC holds promise solving complex problems that are currently intractable in case The potential impact extends beyond its reaches into various critical sectors, including healthcare. Scientists engineers working diligently overcome challenges limitations associated with technology. include issues related qubit stability, error correction, scalability, noise reduction. In a scenario, our proposed work provides concise summary most recent state art based articles published between 2018 2023 healthcare domain. Additionally, approach follows necessary guidelines conducting systematic literature review. This includes utilising research questions evaluating quality using specific metrics. Initially, total 2,038 records were acquired multiple databases, 468 duplicate 1,053 unrelated subsequently excluded. A further 258, 68, 39 eliminated title, abstract, full-text criteria, respectively. Ultimately, remaining 49 subject evaluation, thus providing brief overview contributing existing knowledge comprehension Machine Learning (QML) algorithms applications sector. analysis establishes foundational framework forthcoming development at intersection machine learning, ultimately paving way innovative approaches addressing within

Language: Английский

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A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey

IEEE Communications Surveys & Tutorials, Journal Year: 2024, Volume and Issue: 26(3), P. 2120 - 2145

Published: Jan. 1, 2024

The growing interest in the Metaverse has generated momentum for members of academia and industry to innovate toward realizing world. is a unique, continuous, shared virtual world where humans embody digital form within an online platform. Through avatar, users should have perceptual presence environment can interact control around them. Thus, human-centric design crucial element Metaverse. human are not only central entity but also source multi-sensory data that be used enrich ecosystem. In this survey, we study potential applications Brain-Computer Interface (BCI) technologies enhance experience users. By directly communicating with brain, most complex organ body, BCI hold intuitive human-machine system operating at speed thought. enable various innovative through neural pathway, such as user cognitive state monitoring, avatar control, interactions, imagined speech communications. This survey first outlines fundamental background technologies. We then discuss current challenges potentially addressed by BCI, motion sickness when environments or negative emotional states immersive applications. After that, propose new research direction called Human Digital Twin, which twins create intelligent interactable from user's brain signals. present solutions synchronizing between physical entities Finally, highlight challenges, open issues, future directions BCI-enabled systems.

Language: Английский

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Modality-Level Obstacles and Initiatives to Improve Representation in Fetal, Infant, and Toddler Neuroimaging Research Samples

Developmental Cognitive Neuroscience, Journal Year: 2025, Volume and Issue: 72, P. 101505 - 101505

Published: Jan. 5, 2025

Fetal, infant, and toddler (FIT) neuroimaging researchers study early brain development to gain insights into neurodevelopmental processes identify markers of neurobiological vulnerabilities target for intervention. However, the field has historically excluded people from global majority countries marginalized communities in FIT research. Inclusive representative samples are essential generalizing findings across modalities, such as magnetic resonance imaging, magnetoencephalography, electroencephalography, functional near-infrared spectroscopy, cranial ultrasonography. These techniques pose unique overlapping challenges equitable representation research through sampling bias, technical constraints, limited accessibility, insufficient resources. The present article adds conversation around need improve inclusivity by highlighting modality-specific historical current obstacles ongoing initiatives. We conclude discussing tangible solutions that transcend individual ultimately providing recommendations promote neuroscience.

Language: Английский

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What Guides Us to Neurally and Behaviorally Align With Anyone Specific? A Neurobiological Model Based on fNIRS Hyperscanning Studies

The Neuroscientist, Journal Year: 2019, Volume and Issue: 26(2), P. 108 - 116

Published: July 11, 2019

An emerging body of hyperscanning functional near-infrared spectroscopy (fNIRS) research shows interbrain neural synchrony (IBS) during different forms social interaction. Here we review the recent literature and propose several factors that facilitate IBS, leading us to ask following question: In a world full people opportunities synchronize with them, what directs our behavioral alignment anyone specific? We suggest IBS between deem “mutual attention systems” interacting partners—that is, coupling participants’ temporoparietal junctions and/or prefrontal cortices—facilitates enhances ability tune in specific interaction, its participants goals. this process is linked alignment, reinforcing one another successful lucrative interactions. further neurochemical mechanisms dopamine oxytocin underlie activation suggested loop. Finally, possible directions for future studies, emphasizing need develop brain-to-brain neurofeedback system mutual systems as direct regulating target.

Language: Английский

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A Narrative Review on Clinical Applications of fNIRS

Journal of Digital Imaging, Journal Year: 2020, Volume and Issue: 33(5), P. 1167 - 1184

Published: Sept. 28, 2020

Language: Английский

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A Mini-Review on Functional Near-Infrared Spectroscopy (fNIRS): Where Do We Stand, and Where Should We Go?

Photonics, Journal Year: 2019, Volume and Issue: 6(3), P. 87 - 87

Published: Aug. 1, 2019

This mini-review is aimed at briefly summarizing the present status of functional near-infrared spectroscopy (fNIRS) and predicting where technique should go in next decade. quotes 33 articles on different fNIRS basics technical developments 44 reviews applications published last eight years. The huge number review about a wide spectrum topics field cognitive social sciences, neuroimaging research, medicine testifies to maturity achieved by this non-invasive optical vascular-based technique. Today, has started be utilized healthy subjects while moving freely naturalistic settings. Further instrumental are expected done near future fully satisfy latter important aspect. In addition, procedures, including correction methods for strong extracranial interferences, need standardized before using as clinical tool individual patients. New research avenues such interactive neurosciences, cortical activation modulated type sport performance, during neurofeedback training highlighted.

Language: Английский

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