Measurement of Train Driver’s Brain Activity by Functional Near-Infrared Spectroscopy (fNIRS)

Kojima, Takashi; Tsunashima, Hitoshi; Shiozawa, Tomoki; Takada, Hidetoshi

doi:10.1007/s11082-005-4202-9

Cited by 29 publications

(9 citation statements)

References 4 publications

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“…Most of the previous fNIRS related workload studies in the transportation domain (Kojima et al, 2005; Tomioka et al, 2009; Ayaz et al, 2012; Gateau et al, 2015; Foy et al, 2016; Sibi et al, 2016) focused only on frontal brain activations, primarily due to the ease in preparing the optodes around the forehead. On comparing the multivariate predictions from the whole head measurements with only the 12 frontal channels around the forehead, the mean Pearson correlation dropped by 37.7%.…”

Section: Discussionmentioning

confidence: 99%

Assessing the Driver’s Current Level of Working Memory Load with High Density Functional Near-infrared Spectroscopy: A Realistic Driving Simulator Study

Unni

Ihme

Jipp

et al. 2017

Front. Hum. Neurosci.

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Cognitive overload or underload results in a decrease in human performance which may result in fatal incidents while driving. We envision that driver assistive systems which adapt their functionality to the driver’s cognitive state could be a promising approach to reduce road accidents due to human errors. This research attempts to predict variations of cognitive working memory load levels in a natural driving scenario with multiple parallel tasks and to reveal predictive brain areas. We used a modified version of the n-back task to induce five different working memory load levels (from 0-back up to 4-back) forcing the participants to continuously update, memorize, and recall the previous ‘n’ speed sequences and adjust their speed accordingly while they drove for approximately 60 min on a highway with concurrent traffic in a virtual reality driving simulator. We measured brain activation using multichannel whole head, high density functional near-infrared spectroscopy (fNIRS) and predicted working memory load level from the fNIRS data by combining multivariate lasso regression and cross-validation. This allowed us to predict variations in working memory load in a continuous time-resolved manner with mean Pearson correlations between induced and predicted working memory load over 15 participants of 0.61 [standard error (SE) 0.04] and a maximum of 0.8. Restricting the analysis to prefrontal sensors placed over the forehead reduced the mean correlation to 0.38 (SE 0.04), indicating additional information gained through whole head coverage. Moreover, working memory load predictions derived from peripheral heart rate parameters achieved much lower correlations (mean 0.21, SE 0.1). Importantly, whole head fNIRS sampling revealed increasing brain activation in bilateral inferior frontal and bilateral temporo-occipital brain areas with increasing working memory load levels suggesting that these areas are specifically involved in workload-related processing.

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Section: Discussionmentioning

confidence: 99%

Assessing the Driver’s Current Level of Working Memory Load with High Density Functional Near-infrared Spectroscopy: A Realistic Driving Simulator Study

Unni

Ihme

Jipp

et al. 2017

Front. Hum. Neurosci.

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“…As such, exposure to air pollution is a contributor to the decline of cognitive function 63 . Functional near-infrared spectroscopy (fNIRS) measurements of brain activity of train drivers confirm variations of brain waves during various stages of driving processes 64 . Neuropsychological tests showed that exposure to CO leads to dysfunctions in memory, attention and www.nature.com/scientificreports www.nature.com/scientificreports/ concentration, tracking skills, visuomotor skills, visuospatial planning and processing 65 .…”

Section: Discussionmentioning

confidence: 99%

An association between air pollution and daily most frequently visits of eighteen outpatient diseases in an industrial city

Chau

Wang

2020

Sci Rep

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Toxic effects of air pollutants were individually identified in various organs of the body. However, the concurrent occurrences and the connection of diseases in multiple organs arise from air pollution has not been concurrently studied before. Here we hypothesize that there exist connected health effects arise from air pollution when diseases in various organs were considered together. We used medical data from hospital outpatient visits for various organs in the body with a disease-air pollution model that represents each of the diseases as a function of the environmental factors. Our results show that elevated air pollution risks (above 40%) concurrently occurred in diseases of spondylosis, cerebrovascular, pneumonia, accidents, chronic obstructive pulmonary disease (COPD), influenza, osteoarthritis (OA), asthma, peptic ulcer disease (PUD), cancer, heart, hypertensive, diabetes, kidney, and rheumatism. Air pollutants that were associated with elevated health risks are particular matters with diameters equal or less than 2.5 μm (PM 2.5 ), nitrogen dioxide (NO 2 ), ozone (O 3 ), particular matters with diameters equal or less than 10 μm (PM 10 ), carbon monoxide (CO), and nitrogen oxide (NO). Concurrent occurrences of diseases in various organs indicate that the immune system tries to connectively defend the body from persistent and rising air pollution.matter present in frontal and temporal lobes and corpus callosum 5 . Combustion-derived iron-rich magnetite nanoparticles from airborne particulate matter pollution were found in the human brain 13 , showing that air pollution particles were directly transported and deposited in the human brain. Mice exposed to elevated levels of NO 2 (2.5-5.0 mg/m 3 ) were found to show the deterioration of spatial learning and memory, aggravated amyloid β 42 accumulation, promoted pathological abnormalities, and cognitive defects related to Alzheimer's disease 14 . Humans exposed to NO 2 and PM 2.5 were positively correlated with the incidence of dementia in London, England 15 . Toxins accompanying air pollutants into the body exert chronic activation of microglia, leading to direct neuronal damage and neuronal death in the central nervous system 16 Delicate communication exists between the brain and the immune system 17,18 , and evidence that connects health and emotions through neural activity in the brain 19 . These pathophysiological findings reveal that air pollutants affected the central nervous system, leading to the decline of brain function 20 and fatal diseases 18 .Pathophysiological evidence convincingly showed pathways of various diseases arose from air pollution 21 . Hence, more diseases associated with air pollution remained to be discovered in the population 22 . Kampa and Castanas 23 and Jay 24 showed that diseases associated with air pollution were found in various parts of human organs: cardiovascular and circulatory system, digestive and excretory system, endocrine system, integumentary and exocrine system, lymphatic and immune system, muscular and skeletal s...

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“…Therefore, brain activity can be measured in various environments. Recent research has used functional Near-Infrared Spectroscopy (fNIRS) to measure brain activity of train driver [5, 6]. Shimizu et al used fNIRS to evaluate the mental activity of car driver using a driving simulator [7].…”

Section: Introductionmentioning

confidence: 99%

Measurement of Brain Function of Car Driver Using Functional Near‐Infrared Spectroscopy (fNIRS)

Tsunashima

Yanagisawa

2009

Computational Intelligence and Neuroscience

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The aim of this study is to propose a method for analyzing measured signal obtained from functional Near-Infrared Spectroscopy (fNIRS), which is applicable for neuroimaging studies for car drivers. We developed a signal processing method by multiresolution analysis (MRA) based on discrete wavelet transform. Statistical group analysis using Z-score is conducted after the extraction of task-related signal using MRA. Brain activities of subjects with different level of mental calculation are measured by fNIRS and fMRI. Results of mental calculation with nine subjects by using fNIRS and fMRI showed that the proposed methods were effective for the evaluation of brain activities due to the task. Finally, the proposed method is applied for evaluating brain function of car driver with and without adaptive cruise control (ACC) system for demonstrating the effectiveness of the proposed method. The results showed that frontal lobe was less active when the subject drove with ACC.

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Measurement of Train Driver’s Brain Activity by Functional Near-Infrared Spectroscopy (fNIRS)

Cited by 29 publications

References 4 publications

Assessing the Driver’s Current Level of Working Memory Load with High Density Functional Near-infrared Spectroscopy: A Realistic Driving Simulator Study

Assessing the Driver’s Current Level of Working Memory Load with High Density Functional Near-infrared Spectroscopy: A Realistic Driving Simulator Study

An association between air pollution and daily most frequently visits of eighteen outpatient diseases in an industrial city

Measurement of Brain Function of Car Driver Using Functional Near‐Infrared Spectroscopy (fNIRS)

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