Measurement of Brain Function Using Near-Infrared Spectroscopy (NIRS)

Tsunashima, Hitoshi; Yanagisawa, Kazuki; Iwadate, Masako

doi:10.5772/22854

Cited by 24 publications

(45 citation statements)

References 6 publications

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“…Mitsuya et al focused on time series of signals obtained from NIRS, and proposed a method to eliminate biological noises using trend analysis and moving average method [8]. Tsunashima et al proposed a noise reduction/normalization method using discrete wavelet transform and Z-score transformation to statistical processing [9]. In this study, we use the Tsunashima's method for noise reduction and statistical analysis.…”

Section: A Brain Measurement With Nirsmentioning

confidence: 99%

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Brain activity measurement during program comprehension with NIRS

Ikutani

Uwano

2014

15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed C

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Near infrared spectroscopy (NIRS) has been used as a low cost, noninvasive method to measure brain activity. In this paper, we experiment to measure the effects of variables and controls in a source code to the brain activity in program comprehension. The measurement results are evaluated after noise reduction and normalization to statistical analysis. As the result of the experiment, significant differences in brain activity were observed at a task that requires memorizing variables to understand a code snippet. On the other hand, no significant differences between different levels of mental arithmetic tasks were observed. We conclude that the frontal pole reflects workload to short-term memory caused by variables without affected from calculation.

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Section: A Brain Measurement With Nirsmentioning

confidence: 99%

“…The figure shows that the wave contains many noises derived from heartbeats and/or respirations. In this study, we use an wavelet-based method proposed by Tsunashima et al for noise reduction [9].…”

Section: A Nirsmentioning

confidence: 99%

Brain activity measurement during program comprehension with NIRS

Ikutani

Uwano

2014

15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed C

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“…The first cognitive task was the verbal fluency task (VFT) and the second test was the color distinction task (CDT). Image taken from H. Tsunashima et al [145] (Reprinted by permission from P. Bright).…”

Section: Chaptermentioning

confidence: 99%

“…Image taken from H. Tsunashima et al [145] (Reprinted by permission from P. Bright) ………….…... 108 [35] (Reprinted by permission from JMBE) ……………………………………………………………………………………………..…. 38 Table 2.2.…”

Section: List Of Copyrighted Materials For Which Permission Was Obtainedmentioning

confidence: 99%

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Designing and Implementing a Portable Near-Infrared Imaging System for Monitoring of Human's Brain Functional Activity1

Fatmehsari

Moussavi

2015

Journal of Medical Devices

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Utilizing slope method as an alternative data analysis for functional near-infrared spectroscopy-derived cerebral hemodynamic responses

Mandrick

Derosière

Dray

et al. 2013

International Journal of Industrial Ergonomics

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The purpose was to propose an alternative data analysis for functional near-infrared spectroscopy (fNIRS)-derived hemodynamics as a function of cortical activation changes. We evaluated hemodynamic responses from the prefrontal cortex region while 38 participants performed a cognitive task. The task consisted of an arithmetic calculation with three levels of complexity (i.e., easy, medium and difficult). These task-dependent hemodynamic responses were analyzed by the slope method (i.e. using a linear regression through the cognitive task) and were compared with the corresponding responses obtained with a traditional approach of the amplitude method. Subjective scales of task loading (assessed by DP15 and NASA-TLX) and behavioral outcomes (performance and reaction time) were also recorded in response to the task complexity. Results revealed that the proposed slope method allowed a better discrimination in terms of cortical activation among all levels of mental workload. There was no significant increase in cortical activation between the medium and difficult levels (p ¼ .30; d ¼ 0.09) with the amplitude method while the slope coefficient was sensitive to the different levels (p < .01; d ¼ 0.32). These preliminary results from a large sample size demonstrated that the slope method appears suitable for discriminating the changes in cortical activation with respect to the mental workload. Relevance to industry: In this work, we proposed an optimum way of quantifying the mental workload of participants in terms of fNIRS-derived cerebral hemodynamic responses.

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Measurement of Brain Function Using Near-Infrared Spectroscopy (NIRS)

Cited by 24 publications

References 6 publications

Brain activity measurement during program comprehension with NIRS

Brain activity measurement during program comprehension with NIRS

Designing and Implementing a Portable Near-Infrared Imaging System for Monitoring of Human's Brain Functional Activity1

Utilizing slope method as an alternative data analysis for functional near-infrared spectroscopy-derived cerebral hemodynamic responses

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