Mobile EEG identifies the re-allocation of attention during real-world activity

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

Published: Nov. 1, 2019

Abstract The distribution of attention between competing processing demands can have dramatic real-world consequences, however little is known about how limited attentional resources are distributed during behaviour. Here we employ mobile EEG to characterise the allocation across multiple sensory-cognitive naturalistic movement. We used a neural marker attention, Event-Related Potential (ERP) P300 effect, show that targets reduced when human participants walk compared they stand still. In second experiment, this reduction in not caused by act walking per se . A third experiment identified independent driving target stimuli motion. ERP data reveals seen reflects linear and additive sum produced visual inertial stimulation. cognition approach here shows precisely re-allocated according sensory occur

Language: Английский

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Reduction of global interference of scalp-hemodynamics in functional near-infrared spectroscopy using short distance probes

NeuroImage, Journal Year: 2016, Volume and Issue: 141, P. 120 - 132

Published: July 2, 2016

Functional near-infrared spectroscopy (fNIRS) is used to measure cerebral activity because it simple and portable. However, scalp-hemodynamics often contaminates fNIRS signals, leading detection of cortical in regions that are actually inactive. Methods for removing these artifacts using standard source–detector distance channels (Long-channel) tend over-estimate the artifacts, while methods additional short (Short-channel) require numerous probes cover broad areas, which leads a high cost prolonged experimental time. Here, we propose new method effectively combines existing techniques, preserving accuracy estimating avoiding disadvantages inherent when applying techniques individually. Our accomplishes this by global scalp-hemodynamic component from small number Short-channels, its influence Long-channels general linear model (GLM). To demonstrate feasibility method, collected functional magnetic resonance imaging (fMRI) measurements during motor task. First, measured changes oxygenated hemoglobin concentration (∆ Oxy-Hb) 18 Short-channels placed over motor-related confirmed majority was globally consistent could be estimated as few four principal analysis. We then ∆ Oxy-Hb 4 Short- 43 Long-channels. The GLM identified comparable separately fMRI, even exhibited substantial task-related modulation. These results suggest combining with provides robust estimation at low cost.

Language: Английский

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Using Fiberless, Wearable fNIRS to Monitor Brain Activity in Real-world Cognitive Tasks

Journal of Visualized Experiments, Journal Year: 2015, Volume and Issue: 106

Published: Dec. 2, 2015

Functional Near Infrared Spectroscopy (fNIRS) is a neuroimaging technique that uses near-infrared light to monitor brain activity. Based on neurovascular coupling, fNIRS able measure the haemoglobin concentration changes secondary neuronal Compared other techniques, represents good compromise in terms of spatial and temporal resolution. Moreover, it portable, lightweight, less sensitive motion artifacts does not impose significant physical restraints. It therefore appropriate wide range cognitive tasks (e.g., auditory, gait analysis, social interaction) different age populations new-borns, adults, elderly people). The recent development fiberless devices has opened way new applications neuroscience research. This unique opportunity study functional activity during real-world tests, which can be more accurate assessing function dysfunction than lab-based tests. explored use prospective memory task. protocol performed outside lab are continuously measured over prefrontal cortex while subject walks around order accomplish several tasks.

Language: Английский

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Maintaining Gait Performance by Cortical Activation during Dual-Task Interference: A Functional Near-Infrared Spectroscopy Study

PLoS ONE, Journal Year: 2015, Volume and Issue: 10(6), P. e0129390 - e0129390

Published: June 16, 2015

In daily life, mobility requires walking while performing a cognitive or upper-extremity motor task. Although previous studies have evaluated the effects of dual tasks on gait performance, few cortical activation and its association with disturbance during tasks. this study, we simultaneously assessed performance cerebral oxygenation in bilateral prefrontal cortices (PFC), premotor (PMC), supplemental areas (SMA), using functional near-infrared spectroscopy, 17 young adults Each participant was normal-pace (NW), task (WCT), (WMT). Our results indicated that left PFC exhibited strongest most sustained WCT, NW WMT were associated minor increases levels their initial phases. We observed increased channels SMA PMC WCT WMT. Gait data both caused reductions speed, but these resulted from differing alterations properties. significant changes cadence, stride time, length, whereas length only. During dual-task activities, correlated declines indicating control mechanism for maintaining Thus, regulatory behavior enable second to be performed walking.

Language: Английский

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Single-trial lie detection using a combined fNIRS-polygraph system

Frontiers in Psychology, Journal Year: 2015, Volume and Issue: 6

Published: June 2, 2015

Deception is a human behavior that many people experience in daily life. It involves complex neuronal activities addition to several physiological changes the body. A polygraph, which can measure some of responses from body, has been widely employed lie-detection. Many researchers, however, believe lie detection become more precise if occur process deception be isolated and measured. In this study, we combine both measures (i.e., changes) for enhanced Specifically, investigate deception-related hemodynamic response, functional near-infrared spectroscopy (fNIRS) applied at prefrontal cortex besides commercially available polygraph system. mock crime scenario with single-trial stimulus set up as protocol. The acquired data are classified into "true" "lie" classes based on fNIRS-based hemoglobin-concentration polygraph-based signal changes. Linear discriminant analysis utilized classifier. results indicate combined fNIRS-polygraph system delivers much higher classification accuracy than singular This study demonstrates plausible solution toward lie-detection by combining fNIRS polygraph.

Language: Английский

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