Measuring the Cognitive Workload During Dual-Task Walking in Young Adults: A Combination of Neurophysiological and Subjective Measures DOI Creative Commons
Isabelle Hoang, Maud Ranchet,

Romain Derollepot

et al.

Frontiers in Human Neuroscience, Journal Year: 2020, Volume and Issue: 14

Published: Nov. 20, 2020

Background: Walking while performing a secondary task (dual-task (DT) walking) increases cognitive workload in young adults. To date, few studies have used neurophysiological measures combination to subjective assess during walking task. This combined approach can provide more insights into the amount of resources relation with perceived mental effort involving Research Question: The objective was examine adults conditions varying complexity. Methods: Twenty-five (mean = 24.4 ± 5.4) performed four conditions: (1) usual walking, (2) simple DT (3) complex and (4) standing subtracting. During task, mean speed, cadence, stride time, length, their respective coefficient variation (CV) were recorded. Cognitive will be measured through changes oxy- deoxy-hemoglobin (ΔHbO 2 ΔHbR) dorsolateral prefrontal cortex (DLPFC) demand score from NASA-TLX questionnaire. Results: In adults, ΔHbO DLPFC increased both subtracting condition. did not differ between Perceived gradually As expected, all values gait parameters altered according CV cadence time significantly higher than whereas length only walking. Significance: Young had greater two compared However, questionnaire discriminated Subjective measure provides complementary information one on challenging tasks These results may useful improve our understanding

Language: Английский

Bibliometric evaluation of 2000–2019 publications on functional near-infrared spectroscopy DOI Creative Commons
Wangwang Yan,

Kangyong Zheng,

Linman Weng

et al.

NeuroImage, Journal Year: 2020, Volume and Issue: 220, P. 117121 - 117121

Published: June 30, 2020

This study aimed to explore and analyze research trends frontiers on functional near-infrared spectroscopy (fNIRS) in the past 20 years identify collaboration networks. fNIRS-related publications from 2000 2019 were retrieved Web of Science database. A total 1727 satisfied search criteria. Bibliometric visualization analysis active authors, journals, institutions, countries, references, keywords conducted. The number annual related remarkably increased over years. Fallgatter published largest papers (83). Neuroimage not only had first 10 journals (157 articles) but also highest impact factor (IF, 2018 ​= ​5.812). University Tubingen United States ranked terms comprehensive influence this field. In recent years, burst (e.g., infant, social interaction, older adult) a series references with citation provided clues frontiers.

Language: Английский

Citations

64
Applications of flexible electronics related to cardiocerebral vascular system DOI Creative Commons

Runxing Lin,

Ming Lei,

Sen Ding

et al.

Materials Today Bio, Journal Year: 2023, Volume and Issue: 23, P. 100787 - 100787

Published: Aug. 31, 2023

Ensuring accessible and high-quality healthcare worldwide requires field-deployable affordable clinical diagnostic tools with high performance. In recent years, flexible electronics wearable implantable capabilities have garnered significant attention from researchers, which functioned as vital diagnostic-assisted by real-time signal transmission interested targets in vivo. As the most crucial complex system of human body, cardiocerebral vascular together heart-brain network attracts researchers inputting profuse indefatigable efforts on proper design materials selection, trying to overcome impassable gulf between vivid organisms rigid inorganic units. This article reviews breakthroughs specifically applied network. Relevant sensor types working principles, selection treatment methods are expounded. Applications related these organs systems specially highlighted. Through precedent great studies, we conclude their merits point out some limitations this emerging field, thus will help pave way for revolutionary diagnosis assisted development.

Language: Английский

Citations

15
Feasibility of local interpretable model-agnostic explanations (LIME) algorithm as an effective and interpretable feature selection method: comparative fNIRS study DOI
Jaeyoung Shin

Biomedical Engineering Letters, Journal Year: 2023, Volume and Issue: 13(4), P. 689 - 703

Published: June 7, 2023

Language: Английский

Citations

13
fNIRS a novel neuroimaging tool to investigate olfaction, olfactory imagery, and crossmodal interactions: a systematic review DOI Creative Commons

Eleanor Boot,

Andrew R. Levy,

Giuliano Gaeta

et al.

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: Jan. 31, 2024

Olfaction is understudied in neuroimaging research compared to other senses, but there growing evidence of its therapeutic benefits on mood and well-being. Olfactory imagery can provide similar health as olfactory interventions. Harnessing crossmodal visual-olfactory interactions facilitate imagery. Understanding employing these cross-modal between visual stimuli could aid the applications olfaction interventions for wellbeing. This review examines current knowledge, debates, olfaction, olfactive imagery, integration. A total 56 papers, identified using PRISMA method, were evaluated identify key brain regions, themes methods used determine suitability fNIRS a tool studying topics. The fNIRS-compatible protocols regions within recording depth approximately 1.5 cm associated with Commonly cited include orbitofrontal cortex, inferior frontal gyrus dorsolateral prefrontal cortex. findings this indicate that would be suitable into processes. Additionally, use naturalistic settings may lead development new approaches greater ecological validity existing techniques.

Language: Английский

Citations

5
Signal quality index: an algorithm for quantitative assessment of functional near infrared spectroscopy signal quality DOI Creative Commons
M. Sofía Sappia, Naser Hakimi, Willy N. J. M. Colier

et al.

Biomedical Optics Express, Journal Year: 2020, Volume and Issue: 11(11), P. 6732 - 6732

Published: Oct. 19, 2020

We propose the signal quality index (SQI) algorithm as a novel tool for quantitatively assessing functional near infrared spectroscopy (fNIRS) in numeric scale from 1 (very low quality) to 5 high quality). The comprises two preprocessing steps followed by three consecutive rating stages. results on dataset annotated independent fNIRS experts showed SQI performed significantly better (p<0.05) than PHOEBE (placing headgear optodes efficiently before experimentation) and SCI (scalp coupling index), existing algorithms, both binary classifying quality. Employment of proposed estimate processing signals increases certainty interpretations.

Language: Английский

Citations

33
Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction DOI Creative Commons
Yun-Hsuan Chen, Mohamad Sawan

Sensors, Journal Year: 2021, Volume and Issue: 21(2), P. 460 - 460

Published: Jan. 11, 2021

We review in this paper the wearable-based technologies intended for real-time monitoring of stroke-related physiological parameters. These measurements are undertaken to prevent death and disability due stroke. compare various characteristics, such as weight, accessibility, frequency use, data continuity, response time these wearables. It was found that most user-friendly wearables can have limitations reporting high-precision prediction outcomes. Therefore, we report also trend integrating into internet things (IoT) combining electronic health records (EHRs) machine learning (ML) algorithms establish a stroke risk system. Due different time, spatial resolution technologies, strategies applying types maximize efficacy reported. In addition, based on applications multimodal electroencephalography–functional near-infrared spectroscopy (EEG–fNIRS) patients, perspective using technique improve performance is elaborated. Expected has be dynamically delivered with There need stratification management reduce resulting social economic burden.

Language: Английский

Citations

32
A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking DOI Creative Commons
David Perpetuini, Daniela Cardone, Chiara Filippini

et al.

Sensors, Journal Year: 2021, Volume and Issue: 21(15), P. 5117 - 5117

Published: July 28, 2021

Functional near infrared spectroscopy (fNIRS) is a neuroimaging technique that allows to monitor the functional hemoglobin oscillations related cortical activity. One of main issues fNIRS applications motion artefact removal, since corrupted physiological signal not correctly indicative underlying biological process. A novel procedure for artifact correction signals based on wavelet transform and video tracking developed thermography (IRT) presented. In detail, IRT were concurrently recorded optodes' movement was estimated employing recordings. The movement, together with their coherence, computed. Then, inverse evaluated excluding frequency content corresponding optdes' coherence in epochs where they higher respect an established threshold. method tested using simulated hemodynamic responses added real resting-state recordings by artifacts. results demonstrated effectiveness eliminating noise, producing noise ratio another validated method.

Language: Английский

Citations

28
Effective engagement in computerized cognitive training for older adults DOI
Anna Luiza Guimarães, Feng Lin, Rogério Panizzutti

et al.

Ageing Research Reviews, Journal Year: 2025, Volume and Issue: unknown, P. 102650 - 102650

Published: Jan. 1, 2025

Language: Английский

Citations

0
Age group classification based on optical measurement of brain pulsation using machine learning DOI Creative Commons
Martti Ilvesmäki, Hany Ferdinando, Kai Noponen

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 25, 2025

Language: Английский

Citations

0
Addressing the need for non-invasive lung assessment with time-resolved diffuse optics DOI Creative Commons
Giulia Maffeis,

Nicola Serra,

Alessandro Bossi

et al.

Frontiers in Photonics, Journal Year: 2025, Volume and Issue: 6

Published: March 10, 2025

Monitoring lungs functions is key for detecting several morbidities and pathologies. Photons in the 600–1,300 nm range might have potential to reach provide compositional functional information. Yet, few optical techniques been challenged non-invasively so far. In this paper, we investigate conditions probe using Time Domain Diffuse Optical Spectroscopy (TD-DOS). Counterintuitively, from Monte Carlo simulations discovered that a higher absorption coefficient chest wall as compared increases sensitivity deeper structures. vivo measurements on thorax of healthy volunteers during forced breathing protocol, complemented with information lung composition previously evaluated spectra porcine lung, suggest condition occurs above 1,100 nm. Multiple experimental setups were exploited cover spectral test different source-detector distances (3–7 cm). All exhibit oscillations consistent rhythm, suggesting detection expansion compression. However, marked differences subjects complex dependence detected signal photon time-of-flight seem allure non-trivial role propagation through lungs, related–for instance–to presence alveoli perhaps also overlying heterogeneous tissues. The unceasing development time-resolved single-photon detectors increasing performances 1,000 nm, better understanding optics– e.g. , anomalous diffusion models–will help unravel late, deep-travelling photons lead novel photonic tool non-invasively.

Language: Английский

Citations

0