Consumer-Grade Electroencephalogram and Functional Near-Infrared Spectroscopy Neurofeedback Technologies for Mental Health and Wellbeing

Sensors, Journal Year: 2023, Volume and Issue: 23(20), P. 8482 - 8482

Published: Oct. 15, 2023

Neurofeedback, utilizing an electroencephalogram (EEG) and/or a functional near-infrared spectroscopy (fNIRS) device, is real-time measurement of brain activity directed toward controlling and optimizing function. This treatment has often been attributed to improvements in disorders such as ADHD, anxiety, depression, epilepsy, among others. While there evidence suggesting the efficacy neurofeedback devices, research still inconclusive. The applicability measurements parameters consumer wearable devices improved, but literature on techniques lacks rigorously controlled trials. paper presents survey literary review direction clinical applications diagnoses. Relevant are highlighted compared for parameters, structural composition, available software, appeal. Finally, conclusion future these systems discussed through comparison their advantages drawbacks.

Language: Английский

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Mobile fNIRS for exploring inter-brain synchrony across generations and time

Frontiers in Neuroergonomics, Journal Year: 2024, Volume and Issue: 4

Published: Jan. 2, 2024

While still relatively rare, longitudinal hyperscanning studies are exceptionally valuable for documenting changes in inter-brain synchrony, which may turn underpin how behaviors develop and evolve social settings. The generalizability ecological validity of this experimental approach hinges on the selected imaging technique being mobile–a requirement met by functional near-infrared spectroscopy (fNIRS). fNIRS has most frequently been used to examine development synchrony behavior child-parent dyads. In position paper, we contend that dedicating attention intergenerational stands benefit fields cognitive neuroscience more broadly. We argue is particularly relevant understanding neural mechanisms underpinning dynamics, potentially benchmarking progress psychological interventions, many situated contexts. line with our position, highlight areas research stand be enhanced mobile devices, describe challenges arise from measuring across generations real world, offer potential solutions.

Language: Английский

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Lights on music cognition: A systematic and critical review of fNIRS applications and future perspectives

Brain and Cognition, Journal Year: 2024, Volume and Issue: 180, P. 106200 - 106200

Published: June 21, 2024

Research investigating the neural processes related to music perception and production constitutes a well-established field within cognitive neurosciences. While most neuroimaging tools have limitations in studying complexity of musical experiences, functional Near-Infrared Spectroscopy (fNIRS) represents promising, relatively new tool for both laboratory ecological settings, which is also suitable typical pathological populations across development. Here we systematically review fNIRS studies on cognition, highlighting prospects potentialities. We include an overview basic theory, together with brief comparison characteristics other tools. Fifty-nine meeting inclusion criteria (i.e., using as primary stimulus) are presented five thematic sections. Critical discussion methodology leads us propose guidelines good practices aiming robust signal analyses reproducibility. A continuously updated world map proposed, including information from criteria. It provides organized, accessible, updatable reference database, could serve catalyst future collaborations community. In conclusion, shows potential music, particularly contexts special populations, aligning current research priorities cognition.

Language: Английский

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From light to insight: Functional near-infrared spectroscopy for unravelling cognitive impairment during task performance

BioScience Trends, Journal Year: 2025, Volume and Issue: 19(1), P. 53 - 71

Published: Jan. 24, 2025

Cognitive impairment refers to the of higher brain functions such as perception, thinking or memory that affects individual's ability perform daily social activities. Studies have found changes in neuronal activity during tasks patients with cognitive are closely related cerebral cortical hemodynamics. Functional near-infrared spectroscopy is an indirect method measure neural based on blood oxygen concentration cortex. Due its strong anti-motion interference, high compatibility, and almost no restriction participants environment, it has shown great potential research field impairment. Recognizing these benefits, this comprehensive review systematically elucidates rationale, historical development, advantages disadvantages functional spectroscopy, also discusses applications combining other detection techniques. Additionally, summarized how can be applied caused by different diseases, ultimately aiding study mechanisms activities, which crucial for diagnosis, differentiation treatment

Language: Английский

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Assessment of cortical activity, functional connectivity, and neuroplasticity in cerebral palsy using functional near‐infrared spectroscopy: A scoping review

Developmental Medicine & Child Neurology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Abstract Aim To map and critically appraise the literature on feasibility current use of functional near‐infrared spectroscopy (fNIRS) to assess cortical activity, connectivity, neuroplasticity in individuals with cerebral palsy (CP). Method A scoping review methodology was prospectively registered reported following Preferred Reporting Items for Systematic Meta‐Analysis Extension Scoping Reviews (PRISMA‐ScR) guidelines. systematic search conducted four databases. Empirical studies using fNIRS neural or CP aged 3 years older were included. Results Sixteen met inclusion criteria. Individuals (age range = 3–43 years; 70% unilateral CP) underwent fNIRS‐based assessment task‐evoked activity (studies [ n ] 15) and/or resting‐state connectivity ( 3). Preliminary observations suggest greater magnitude, extent, ipsilateral hemispheric lateralization sensorimotor cortex CP, while magnitude patterns prefrontal appear dependent task demands. Normalization metrics observed postintervention 3) paralleled improvements outcomes, highlighting their potential as promising biomarkers gains CP. Interpretation This details highlights research gaps technical limitations, offers recommendations support implementation ecologically valid neuroimaging

Language: Английский

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Data collection, enhancement, and classification of functional near-infrared spectroscopy motor execution and imagery

Review of Scientific Instruments, Journal Year: 2025, Volume and Issue: 96(3)

Published: March 1, 2025

Recognition and execution of motor imagery play a key role in brain–computer interface (BCI) are prerequisites for converting thoughts into executable instructions. However, to date, data acquired through commonly used electroencephalography (EEG) methods very sensitive motion interference, which will affect the accuracy classification. The emerging functional near-infrared spectroscopy (fNIRS) technique, while overcoming drawbacks EEG’s susceptibility interference difficulty detecting signals, has less publicly available data. In this paper, we designed experiment based on wearable fNIRS device acquire brain signals proposed modified Kolmogorov–Arnold network (named SE-KAN) recognizing corresponding task. Due small number subjects experiment, Wasserstein generative adversarial was enhance processing. For recognition task, SE-KAN method achieved 96.36 ± 2.43% single-subject 84.72 3.27% cross-subject accuracy. It is believed that dataset paper help development BCI.

Language: Английский

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Effects and mechanisms of synchronous virtual reality action observation and electrical stimulation on upper extremity motor function and activities of daily living in patients with stroke: a protocol for a randomized controlled trial

Frontiers in Neurology, Journal Year: 2025, Volume and Issue: 16

Published: April 4, 2025

Background Existing rehabilitation techniques are not satisfactory in improving motor function after stroke, resulting heavy social burdens. With discovery of mirror neuron system (MNS), action observation (AO) has become a promising strategy to promote learning rehabilitation. Based on MNS theory and virtual reality (VR) technology, we designed an innovative rehabilitative approach: synchronous 360° VR video AO (VRAO) neuromuscular electrical stimulation (NMES). We hypothesized that VRAO+NMES could enhance activation, thus improve upper limb activities daily living stroke survivors. Methods To explore the efficacy mechanism VRAO+NMES, this single center, evaluator blinded, prospective, two arm parallel group randomized controlled trial with 1:1 allocation ratio. The experiment will receive while control landscape combined NMES. Fugl-Meyer Assessment for Upper Extremity is primary outcome study, Brunstrom Recovery Stages Extremity, Manual Muscle Test, Range Motion, Modified Barthel Index, Functional Independence Measure secondary outcomes. In addition, functional near-infrared spectroscopy (fNIRS) surface electromyography (sEMG) be used evaluate activation brain regions related muscles, respectively. Discussion Applying therapy (AOT) popular, another study direction AOT combine it peripheral stimulations simultaneously. Due its full immersive characteristic multi-sensory input, videos based motivation engagement level participants. fNIRS sEMG test results may act as good biomarkers predict outcomes, helping select suitable candidates new intervention. Conclusion provide evidence feasibility potential clinical rehabilitation, applicability generalize use hospital, community, home settings. Clinical registration https://www.chictr.org.cn/showproj.html?proj=178276 , Identifier [ChiCTR2200063552].

Language: Английский

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Assessing Task-Dependent Neurophysiology During Virtual Reality Treadmill Training in Adults With Traumatic Brain Injury: A Functional Near-Infrared Spectroscopy Feasibility Study

Journal of Head Trauma Rehabilitation, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Objective: Individuals with traumatic brain injury (TBI) often experience residual mobility deficits that can be improved treadmill and virtual reality interventions. However, previous studies have not measured the underlying neurophysiology during these interventions nor assessed if acquiring such data is feasible in a TBI population. Thus, primary purpose of this study was to assess feasibility using portable functional near-infrared spectroscopy (fNIRS) measure task task. Setting: Data were collected an outpatient setting at Craig Hospital. Participants: Eight individuals chronic moderate severe recruited. The eligibility criteria include age 18 years or older, diagnosis initially required inpatient rehabilitation least 1 year prior could walk 10 feet without support from more than person. Design: Cross-sectional study. Participants fNIRS while completing 12-minute Feasibility benchmarks established priori included safety, acceptability, acquisition quality metrics. Main Measures: Pre-determined objectives served as outcome Global activity by FNIRS acquired training alone early, middle, late epochs. Results: protocol used safe for all participants acceptable 87.5% participants. achieved Exploratory analyses revealed significantly greater global compared No adverse events occurred. Conclusion: All suggesting future, larger-scale studies.

Language: Английский

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The most fundamental and popular literature on functional near-infrared spectroscopy: a bibliometric analysis of the top 100 most cited articles

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

Published: May 2, 2024

Background Functional near infrared spectroscopy (fNIRS) has developed rapidly in recent years, and there are more studies on fNIRS. At present, is no bibliometric analysis of the top 100 most cited articles fNIRS research. Objective To identify analyze those fundamental popular through research methods. Methods The literature web science from 1990 to 2023 was searched were identified by citations. Use bibliometrix package R studio VOSviewer for data plotting obtain output characteristics citation status these articles, trends this field keywords. Results A total 9,424 retrieved since 1990. average number 457.4 (range 260 1,366). Neuroimage published ( n = 31). Villringer, A. Leipzig University had largest papers. Harvard 22) conducted articles. United States, Germany, Japan, Kingdom respectively. common keywords near-infrared spectroscopy, activation, cerebral-blood-flow, brain, newborn-infants, oxygenation, cortex, fMRI, spectroscopy. fund sources mostly came National Institutes Health Unitd States (NIH) Department Human Services 28). Conclusion journal. countries, institutions, authors University, A., Researchers institutions North America Europe contributed most. Near-infrared fmri, stimulation, blood-flow, light-propagation, infants, tissue comprise future directions potential topic hotspots

Language: Английский

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Enhancing Classification Accuracy with Integrated Contextual Gate Network: Deep Learning Approach for Functional Near-Infrared Spectroscopy Brain–Computer Interface Application

Sensors, Journal Year: 2024, Volume and Issue: 24(10), P. 3040 - 3040

Published: May 10, 2024

Brain–computer interface (BCI) systems include signal acquisition, preprocessing, feature extraction, classification, and an application phase. In fNIRS-BCI systems, deep learning (DL) algorithms play a crucial role in enhancing accuracy. Unlike traditional machine (ML) classifiers, DL eliminate the need for manual extraction. neural networks automatically extract hidden patterns/features within dataset to classify data. this study, hand-gripping (closing opening) two-class motor activity from twenty healthy participants is acquired, integrated contextual gate network (ICGN) algorithm (proposed) applied that enhance classification The proposed extracts features filtered data generates patterns based on information previous cells network. Accordingly, performed similar generated dataset. accuracy of compared with long short-term memory (LSTM) bidirectional (Bi-LSTM). ICGN yielded 91.23 ± 1.60%, which significantly (p < 0.025) higher than 84.89 3.91 88.82 1.96 achieved by LSTM Bi-LSTM, respectively. An open access, three-class (right- left-hand finger tapping dominant foot tapping) 30 subjects used validate algorithm. results show can be efficiently two- problems fNIRS-based BCI applications.

Language: Английский

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