Brain activity during dual task gait and balance in aging and age-related neurodegenerative conditions: A systematic review

Experimental Gerontology, Journal Year: 2019, Volume and Issue: 128, P. 110756 - 110756

Published: Oct. 22, 2019

Language: Английский

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Functional Near-Infrared Spectroscopy to Study Cerebral Hemodynamics in Older Adults During Cognitive and Motor Tasks: A Review

Frontiers in Aging Neuroscience, Journal Year: 2020, Volume and Issue: 11

Published: Jan. 20, 2020

The integrity of the frontal areas brain, specifically prefrontal cortex, are critical to preserve cognition and mobility in late life. Prefrontal cortex regions involved executive functions gait control have been related performance dual-tasks. Dual-task assessment may help identify older adults at risk negative health outcomes. As an alternative neuroimaging techniques that do not allow during actual motion, functional Near-Infrared Spectroscopy is a non-invasive technique can assess neural activation through measurement cortical oxygenated deoxygenated hemoglobin levels, while person performing motor task natural environment as well cognitive tasks. aim this review was describe use study lobe hemodynamics cognitive, dual-tasks adults. From 46 included publications, 20 studies used only tasks, 3 tasks 23 Our findings suggest detects changes (cognitively healthy mild impairment), especially In both comparison between younger adults, people with different neurological conditions, compared healthier controls, seems experience higher activation, which could be interpreted context proposed inefficiency limited capacity models. Further research needed establish standardized protocols, cerebral hemodynamic systemic conditions might influence explore its role predicting incident outcomes such dementia.

Language: Английский

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Measuring Mental Workload Variations in Office Work Tasks using fNIRS

International Journal of Human-Computer Studies, Journal Year: 2020, Volume and Issue: 147, P. 102580 - 102580

Published: Dec. 25, 2020

The motivation behind using physiological measures to estimate cognitive activity is typically build technology that can help people understand themselves and their work, or indeed for systems do so adapt. While functional Near Infrared Spectroscopy (fNIRS) has been shown reliably reflect manipulations of mental workload in different work tasks, we still need establish whether fNIRS differentiate variety within common office-like tasks order broaden our understanding the factors involved tracking them real working conditions. 20 healthy participants (8 females, 12 males), whose included took part a user study investigated a) sensitivity measuring variations representations everyday reading writing b) how natural interruptions are reflected data. Results supported PFC activation differentiating between levels but not terms increased oxygenated haemoglobin (O2Hb) decreased deoxygenated (HHb), harder conditions compared easier There was considerable support detecting changes due interruptions. Variations during could be understood relation spare capacity models. These findings may guide future into sustained monitoring real-world settings.

Language: Английский

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Brain Activation Changes While Walking in Adults with and without Neurological Disease: Systematic Review and Meta-Analysis of Functional Near-Infrared Spectroscopy Studies

Brain Sciences, Journal Year: 2021, Volume and Issue: 11(3), P. 291 - 291

Published: Feb. 26, 2021

(1) Functional near-infrared spectroscopy (fNIRS) provides a useful tool for monitoring brain activation changes while walking in adults with neurological disorders. When combined dual task paradigms, fNIRS allows to be monitored when individuals concurrently attend multiple tasks. However, differences baseline, and coverage of cortical areas, presents uncertainty the interpretation overarching findings. (2) Methods: By conducting systematic review 35 studies meta-analysis 75 effect sizes from 17 on or without disorders, we show that performance obstacle walking, serial subtraction letter generation tasks result significant increases prefrontal cortex relative standing baselines. (3) Results: Overall, find have largest between single gait are seen persons sclerosis stroke. (4) Conclusions: Older disease generally showed increased suggesting use more attentional resources during which could lead fall risk mobility impairments. PROSPERO ID: 235228.

Language: Английский

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Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches

EBioMedicine, Journal Year: 2022, Volume and Issue: 79, P. 104027 - 104027

Published: April 28, 2022

Early diagnosis of major depressive disorder (MDD) could enable timely interventions and effective management which subsequently improve clinical outcomes. However, quantitative objective assessment tools for the suspected cases who present with symptoms have not been fully established.Based on a large-scale dataset (n = 363 subjects) collected functional near-infrared spectroscopy (fNIRS) measurements during verbal fluency task (VFT), this study proposed data representation method extracting spatiotemporal characteristics NIRS signals, emerged as candidate predictors in two-phase machine learning framework to detect distinctive biomarkers MDD. Supervised classifiers (e.g., support vector (SVM), k-nearest neighbors (KNN)) cooperated cross-validation were implemented evaluate predictive capability selected features training set. Another test set that was involved developing algorithms enabled independent model's generalization.For classification optimal fusion features, SVM classifier achieved highest accuracy 75.6% ± 4.7% nested cross-validation, correct prediction rate 78.0% sensitivity 75.0% specificity 81.4% Moreover, multiway ANOVA demographic factors confirmed twenty out 39 significantly correlated MDD-distinctive consequence.The abnormal prefrontal activity MDD may be quantified diminished relative intensity inappropriate activation timing hemodynamic response, resulting an objectively measurable biomarker assessing cognitive deficits screening at early stage.This funded by NUS iHeathtech Other Operating Expenses (R-722-000-004-731).

Language: Английский

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Changes in cerebral cortex activation during upright standing tasks in individuals with chronic neck pain: an fNIRS study

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

Published: Feb. 28, 2025

Introduction Studies show that individuals with chronic neck pain (CNP) exhibit postural control deficits, potentially contributing to persistent and recurrent pain. However, the neural mechanisms underlying these deficits in CNP remain unexplored despite their importance for developing effective rehabilitation strategies. Therefore, this study aimed investigate activity during using functional near-infrared spectroscopy (fNIRS), providing insights into central mechanism CNP. Methods In cross-sectional study, 10 (CNP group) healthy controls (HC were assessed under three conditions: Task 1, standing on a force plate eyes open both feet; 2, closed 3, one foot. Cerebral cortex hemodynamic reactions, including bilateral prefrontal (PFC), dorsolateral (DLPFC), pre-motor supplementary motor area (PMC/SMA), primary (M1), somatosensory (S1) measured fNIRS. Balance parameters, sway area, total length, mean velocity, center of pressure (COP) amplitude anterior–posterior (AP) medial-lateral (ML) directions, plate. Results Tasks 1 no differences observed between groups balance parameters. group exhibited significantly higher activation left PMC/SMA ( F = 4.788, p 0.042) M1 9.598, 0.006) lower 4.952, 0.039) right 6.035, 0.024) PFC 2 compared HC group. larger COP AP direction 7.057, 0.016) Additionally, 7.873, 0.012) was than Correlation analysis 3 revealed stronger associations parameters Conclusion Our findings suggest distinct patterns cerebral activities deficits. The PFC, M1, involved maintaining upright balance, changes associated provide more sensitive indicator peripheral

Language: Английский

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Pre-frontal Cortical Activity During Walking and Turning Is Reliable and Differentiates Across Young, Older Adults and People With Parkinson's Disease

Frontiers in Neurology, Journal Year: 2019, Volume and Issue: 10

Published: May 22, 2019

Introduction Mobility declines with age and further neurodegenerative disorders, such as Parkinson's disease (PD). Walking turning ability, in particular, are vital aspects of mobility that deteriorate impaired PD. Such deficits have been linked reduction automatic control movement the need for compensatory cognitive cortical via pre-frontal cortex (PFC), however underlying neural mechanisms remain unclear. Establishing using a robust methodology to examine PFC activity during continuous walking mobile functional near infra-red spectroscopy (fNIRS) may aid understanding help development appropriate therapeutics. This study aimed to: 1) test re-test reliability fNIRS measurement; 2) compare young, old subjects. Methods Twenty-five young (32.3±7.5 years), nineteen older (65.4±7.0 years) twenty-four PD (69.3±4.1 participants performed 360° turning-in-place tasks, each lasting 2 minutes. Young repeated tasks second time allow measurement assessment. The primary outcome was activity, assessed measuring changes oxygenated hemoglobin (HbO2) concentrations. Results moderately reproducible (Intra-class correlation coefficient = 0.67). group had higher activation than adults turning, significant differences bilateral (p=.025), left (p=.012) early period (first 40secs) (p=.007), greater required Interestingly, similar across conditions, specifically task (Cohens d 0.86). Conclusions can be measured acceptable reliability, differentiate groups. significantly compared walking, particularly when beginning walk.

Language: Английский

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Navigation in Real-World Environments: New Opportunities Afforded by Advances in Mobile Brain Imaging

Frontiers in Human Neuroscience, Journal Year: 2018, Volume and Issue: 12

Published: Sept. 11, 2018

A central question in neuroscience and psychology is how the mammalian brain represents outside world enables interaction with it. Significant progress on this has been made domain of spatial cognition, where a consistent network regions that represent external space identified both humans rodents. In rodents, much work to date done situations animal free move about naturally. By contrast, majority carried out static, due limitations imposed by traditional laboratory based imaging techniques. recent years, significant bridging gap between human employing Virtual Reality (VR) technology simulate aspects real-world navigation. Despite progress, VR studies often fail fully important navigation, information derived from self-motion integrated representations environmental features task goals. current review, we provide brief overview date, focusing commonalties differences findings across species. Following discuss outlining developments, before introducing mobile techniques describe technical challenges solutions for recording. Finally, these advances technology, an unprecedented opportunity illuminate complex multifaceted during naturalistic

Language: Английский

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A Newcomer's Guide to Functional Near Infrared Spectroscopy Experiments

IEEE Reviews in Biomedical Engineering, Journal Year: 2019, Volume and Issue: 13, P. 292 - 308

Published: Oct. 17, 2019

This review presents a practical primer for functional near-infrared spectroscopy (fNIRS) with respect to technology, experimentation, and analysis software. Its purpose is jump-start interested practitioners considering utilizing non-invasive, versatile, nevertheless challenging window into the brain using optical methods. We briefly recapitulate relevant anatomical foundations give short historical overview. describe competing types of illumination (trans-illumination, reflectance, differential reflectance) data collection methods (continuous wave, time domain frequency domain). Basic components (light sources, detection, recording components) fNIRS systems are presented. Advantages limitations techniques offered, followed by list very recommendations its use. A variety experimental clinical studies sampled, shedding light on many brain-related ailments. Finally, we discuss number freely available presentation packages suited analysis. In conclusion, recommend due ever-growing body applications, state-of-the-art neuroimaging technique manageable hardware requirements. It can be safely concluded that adds new arrow quiver neuro-medical examinations both great versatility limited costs.

Language: Английский

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Tai Chi Chuan exercise related change in brain function as assessed by functional near–infrared spectroscopy

Scientific Reports, Journal Year: 2019, Volume and Issue: 9(1)

Published: Sept. 13, 2019

Abstract Early studies have shown that Tai Chi Chuan (TCC) contributes to the rehabilitation of cognitive disorders and increases blood oxygen concentration levels in parietal occipital brain areas; however, mechanism TCC training on function remains poorly understood. This study hypothesize has altered aims explore effects functional connection effective prefrontal cortex (PFC), motor (MC), (OC). The participants were 23 experienced Chen–style practitioners (TCC group), 32 demographically matched TCC–naive healthy controls (control group). Functional connections calculated using wavelet–based coherence analysis dynamic Bayesian inference method, respectively. Results showed beyond intensity activity a particular cortical region induced by TCC, significant differences configuration connectivity observed between control groups during resting movement states. These findings suggested improved PFC, MC OC myogenic activity, sympathetic nervous system, endothelial cell metabolic activities; enhanced relayed ability improve cognition anti–memory decline potential.

Language: Английский

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