Near-infrared spectroscopy (NIRS) as a new tool for neuroeconomic research

Kopton, Isabella; Kenning, Peter

doi:10.3389/fnhum.2014.00549

Cited by 77 publications

(87 citation statements)

References 101 publications

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“…Therefore, research methods in this area are currently reliant on behavioral tasks suitable for an fMRI environment, which compromises ecological validity. In future research, methods should be developed to transfer these findings to real life and to organizational situations-functional near-infrared spectroscopy, for example (see Kopton & Kenning, 2014). Furthermore, the use of a strict follow-up order of our experimental design was necessary for our given research question but might have produced different results than a different order or a more randomly chosen order.…”

Section: Discussionmentioning

confidence: 96%

“…These neural changes are expected to be paralleled by changes in performance in the experiment. Previous research shows that increasing the reward received from a desired outcome can facilitate cognitive processes that are required for the achievement of that outcome (Adcock, Thangavel, Whitfield-Gabrieli, Knutson, & Gabrieli, 2006;Delgado, Gillis, & Phelps, 2008;Engelmann, Damaraju, Padmala, & Pessoa, 2009;Jimura, Locke, & Braver, 2010;Kouneiher, Charron, & Koechlin, 2009;Krawczyk, Gazzaley, & D'Esposito, 2007;Taylor et al, 2004). Thus, we assume that when performance-based rewards are introduced, activation in task-related areas such as the IPL will increase, reflecting the increased effort and cognitive engagement.…”

Section: Neural Correlates Of Changes In Performance-based Rewardsmentioning

confidence: 98%

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The neural underpinnings of performance-based incentives

Strombach

Hubert

Kenning

2015

Journal of Economic Psychology

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Section: Discussionmentioning

confidence: 96%

Section: Neural Correlates Of Changes In Performance-based Rewardsmentioning

confidence: 98%

The neural underpinnings of performance-based incentives

Strombach

Hubert

Kenning

2015

Journal of Economic Psychology

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“…agriculture [1], Chinese medicine [2], [3], neuro-economic research [4], and food industry [5] to potentially replace conventional measurement approaches (e.g. sensory evaluation and chemical analysis) that are timeconsuming, expensive per measurement, destructive, or inconvenient.…”

Section: Introductionmentioning

confidence: 99%

“…Findings indicate that the cross-validation approach is a good approach to estimate the final model without over-fitting, and the proposed shortwave NIR spectroscopy was able to estimate the peak value of the acquired spectrum from NIR LEDs with RMSE of 1.1616nm. [4], and food industry [5] to potentially replace conventional measurement approaches (e.g. sensory evaluation and chemical analysis) that are timeconsuming, expensive per measurement, destructive, or inconvenient.…”

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confidence: 99%

Design and Development of a Shortwave near Infrared Spectroscopy using NIR LEDs and Regression Model

Chia

Tan

2017

IJECE

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Near infrared (NIR) spectroscopic technology has been getting more attention in various fields. The development of a low cost NIR spectroscopy is crucial to reduce the financial barriers so that more NIR spectroscopic applications will be investigated and developed by means of the NIR spectroscopic technology. This study proposes an alternative to measure shortwave NIR spectrum using one collimating lens, two slits, one NIR transmission grating, one linear array sensor, and one microcontroller. Five high precision narrow bands NIR light emitting diodes (LEDs) were used to calibrate the proposed spectroscopy. The effects of the proposed two slits design, the distance between the grating and linear array sensor, and three different regression models were investigated. The accuracy of the proposed design was cross-validated using leave-one-out cross-validation. Results show that the proposed two slits design was able to eliminate unwanted signals substantially, and the cross-validation was able to estimate the best model with root mean squared error of cross-validation of 3.8932nm. Findings indicate that the cross-validation approach is a good approach to estimate the final model without over-fitting, and the proposed shortwave NIR spectroscopy was able to estimate the peak value of the acquired spectrum from NIR LEDs with RMSE of 1.1616nm. [4], and food industry [5] to potentially replace conventional measurement approaches (e.g. sensory evaluation and chemical analysis) that are timeconsuming, expensive per measurement, destructive, or inconvenient. Near infrared spectroscopic technology is promising to be an alternative measurement approach because the acquired reflected or the transmitted near infrared energy from a sample contains information that related to the composition of C-H, N-H, and O-H bonds of the sample. Since these composition are the common and basic chemical composition of many products e.g. agriculture products and food, many researches have been conducted to investigate the relationship between a component of interests e.g. pH, glucose, and soluble solids content and the near infrared energy. Keyword: NIR LEDNear Infrared Spectroscopic research aims to relate the component of interest to the absorption of the near-infrared light energy. The amount of the absorption is related to the chemical bond of molecule. In fact, the bond among atoms naturally will vibrate, the higher state of excitement requires more energy. Light

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“…Measurement of cerebral blood flow (CBF) related to texture also involves the influence of body movements. On the other hand, Kopton and Kenning [6] suggested that further research using mobile fNIRS could be a valuable tool in developing the potential of new field experiment methodologies.…”

Section: Introductionmentioning

confidence: 99%

Psychophysiological Preference Monitoring by Cerebral Hemoglobin Measurement during Chewing an Apple Piece

Park¹,

Hasebe²,

Sugiura³

et al. 2017

optics

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In recent years, non-invasive monitoring of psychophysiological preferences for identifying unconscious reactions by measuring brain activity has attracted attention. However, no prior studies on the perception and consumption of food and drink have examined cerebral activity during "chewing." Also, there is no research on food with multiple tastes that is eaten on a daily basis. Therefore, we investigated psychophysiological food-preference when chewing an apple by assessing cerebral blood flow (CBF) by using fNIRS (functional near-infrared spectroscopy). Gustatory sense and food preferences can be distinguished. However, instead of controlling for the taste, psychophysiological preference for information about taste was manipulated by presenting a nameplate showing the area where the food was produced. Independent component analysis (ICA) of CBF signals suggested that the average rate of taste identification with the nameplate was high (94.5%). We also tested the effects of "chewing", which had not been investigated in previous studies. This was expected to expand the scope of research and its possibilities. It is suggested that methods of eliminating artefacts during chewing and methods of identifying preferences devised in this study would be useful for psychophysiological monitoring.

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Near-infrared spectroscopy (NIRS) as a new tool for neuroeconomic research

Cited by 77 publications

References 101 publications

The neural underpinnings of performance-based incentives

The neural underpinnings of performance-based incentives

Design and Development of a Shortwave near Infrared Spectroscopy using NIR LEDs and Regression Model

Psychophysiological Preference Monitoring by Cerebral Hemoglobin Measurement during Chewing an Apple Piece

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