Detection of hypofrontality in drivers with Alzheimer's disease by near-infrared spectroscopy

Tomioka, Haruaki; Yamagata, Bun; Takahashi, Taro; Yano, Masataka; Isomura, Angelica J; Kobayashi, Hitomi; Mimura, Masaru

doi:10.1016/j.neulet.2008.12.059

Cited by 60 publications

(41 citation statements)

References 22 publications

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“…Previous brain studies have shown that aging can lead to cognitive diminishment, impairing elderly driver's abilities of immediate decision-making and rapid visuomotor response (Marino et al, 2013). Tomioka et al (2009) adopted a 52-channel NIRS system (ETG-4000; Hitachi Medical Corporation, Japan) and examined activation differences in the prefrontal regions between individuals with Alzheimer's disease (AD) and healthy elderly controls (HC) during a simulated driving task. Participants were asked to avoid collision with obstructions during driving.…”

Section: Ageingmentioning

confidence: 99%

Near-infrared spectroscopy as a tool for driving research

et al. 2015

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Driving a motor vehicle requires various cognitive functions to process surrounding information, to guide appropriate actions, and especially to respond to or integrate with numerous contextual and perceptual hindrances or risks. It is, thus, imperative to examine driving performance and road safety from a perspective of cognitive neuroscience, which considers both the behaviour and the functioning of the brain. However, because of technical limitations of current brain imaging approaches, studies have primarily adopted driving games or simulators to present participants with simulated driving environments that may have less ecological validity. Near-infrared spectroscopy (NIRS) is a relatively new, non-invasive brain-imaging technique allowing measurement of brain activations in more realistic settings, even within real motor vehicles. This study reviews current NIRS driving research and explores NIRS' potential as a new tool to examine driving behaviour, along with various risk factors in natural situations, promoting our understanding about neural mechanisms of driving safety.Practitioner Summary: Driving a vehicle is dependent on a range of neurocognitive processing abilities. Near-infrared spectroscopy (NIRS) is a non-invasive brain-imaging technique allowing measurement of brain activation even in on-road studies within real motor vehicles. This study reviews current NIRS driving research and explores the potential of NIRS as a new tool to examine driving behaviour.

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Section: Ageingmentioning

confidence: 99%

Near-infrared spectroscopy as a tool for driving research

et al. 2015

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“…Gateau et al (2015) implemented an online fNIRS based system to discriminate two levels of a pilot's instantaneous working memory load [6]. In the domain of driving, fNIRS was used by Tomioka et al (2009) to compare brain activity pre-frontal areas between elderly people with and without Alzheimer disease in a collision avoidance task in a driving simulator. Here, the Alzheimer's disease group showed a less prominent increase of HbO concentration in the recorded prefrontal cortices [7].…”

Section: Introductionmentioning

confidence: 99%

“…In the domain of driving, fNIRS was used by Tomioka et al (2009) to compare brain activity pre-frontal areas between elderly people with and without Alzheimer disease in a collision avoidance task in a driving simulator. Here, the Alzheimer's disease group showed a less prominent increase of HbO concentration in the recorded prefrontal cortices [7]. In the field of cognitive psychology and neuroscience, the well accepted n-back task is used a benchmark to manipulate cognitive workload [8].…”

Section: Introductionmentioning

confidence: 99%

Brain activity measured with fNIRS for the prediction of cognitive workload

Unni

Ihme

Surm

et al. 2015

2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)

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Functional near-infrared spectroscopy (fNIRS) is a versatile imagining modality whose popularity is increasing exponentially in the neuroimaging society. Our research attempts to quantify workload in a natural driving scenario with multiple parallel tasks using fNIRS. Nine young adults participated in this study where they drove in a driving simulator for a period of 100 minutes while we continuously recorded fNIRS data. We used an n-back task to induce different workload levels forcing the participants to remember the previous one, two, three or four speed signs and adjust their speed accordingly while they interact with traffic in the virtual reality driving simulator scenario. Our results indicate that measuring the hemodynamic responses from the bilateral prefrontal cortex (PFC) can be used reliably to quantify cognitive workload levels even in more complex naturalistic tasks.

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“…NIRS has been used to study brain activity in both event-related tasks and resting states (Boecker et al, 2007;Herrmann et al, 2005;White et al, 2009;Honda et al, 2010;Zhang et al, 2010;Lu et al, 2010). It has been also proposed as useful alternate in experimental paradigms which are difficult to perform in the MRI scanner, such as face-to-face communication (Suda et al, 2010) or driving (Tomioka et al, 2009). The applications of NIR techniques which improve spatial information by affording twodimensional imaging of changes in both oxyhaemoglobin (HbO2) and de-oxyhaemoglobin (HHb) during stimuli driven experiments, include optical topography (OT) (Obrig and Villringer 2003;Cooper et al, 2009).…”

Section: Optical Methodsmentioning

confidence: 99%

Functional Brain Imaging Using Non-Invasive Non-Ionizing Methods: Towards Multimodal and Multiscale Imaging

Karanasiou¹

2012

Neuroimaging - Methods

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Detection of hypofrontality in drivers with Alzheimer's disease by near-infrared spectroscopy

Cited by 60 publications

References 22 publications

Near-infrared spectroscopy as a tool for driving research

Near-infrared spectroscopy as a tool for driving research

Brain activity measured with fNIRS for the prediction of cognitive workload

Functional Brain Imaging Using Non-Invasive Non-Ionizing Methods: Towards Multimodal and Multiscale Imaging

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