Comparison of functional near-infrared spectroscopy and electrodermal activity in assessing objective versus subjective risk during risky financial decisions
Introduction
Risk impacts a wide variety of behaviors, including economic, financial and foraging decisions. Within the context of finance theory, risky choice options can be decomposed into statistical moments of the probability distribution of the outcomes, like the mean and the variance (mean-variance approach). The value of a choice option typically increases with the mean. Interestingly, there are substantial individual differences in how risk is processed. In risk-averse individuals, risk reduces the subjective value of a choice option whereas in risk-seeking individuals it increases value. If given a choice between a safe option and a risky option with the same expected value (EV), most people prefer the safe one, i.e. they are risk-averse. For example, when asked to choose between a box containing 10 Dollars for certain or another box with a 50/50 chance of containing 20 Dollars or being empty, most people prefer the safe option (Kahneman and Tversky, 1979). However, some prefer the risky one, i.e. they are risk-seeking. If one systematically changes the safe amount it typically turns out that also the degree of risk aversion and risk seeking varies considerably across individuals.
In the present paper, we compare two different neurophysiological methods to assess four alternatives of how individual differences in risk attitudes can manifest themselves in psychological processes and their physiological correlates. First, risk attitudes may reflect differences in the subjective valuation of risk: the more risk-averse people are, the more diminished is the subjective value of a choice option with higher risk compared to the subjective value of an option with lower risk (resulting in a negative linear relation between risk aversion and subjective value of the high risk minus the low risk option). Second, they could reflect differences in the perception of risk: the more risk-averse people are, the larger they perceive the risk of a riskier option compared to a less risky option (resulting in a positive linear relation between risk aversion and risk perception of the high risk minus the low risk option). Thirdly, they could reflect affective differences: risk-averse people may experience negative affect when exposed to risk, risk-seeking people positive affect. Accordingly, the more extreme the risk attitude, the more pronounced the affect (resulting in a curvilinear relation between risk attitude and affect induced by the high risk minus the low risk option). Lastly, it may well be the case that in order for valuation, perception and affect to be employed and individual differences to manifest themselves, risk first needs to be detected and processed in an objective fashion by all individuals alike (resulting in a flat relation between risk attitude and the difference between the high risk and the low risk option).
We have previously used functional magnetic resonance imaging (fMRI) and showed that the hemodynamic activity of the lateral prefrontal cortex reflects the subjective value of risk (first alternative) (Tobler et al., 2009). Specifically, the more risk-averse people are, the more activity in lateral prefrontal cortex is diminished with increasing risk, expressed in a negative linear relation between activity to high versus low risk and individual risk attitude. The first question of the present study was whether another method of measuring hemodynamic activity, i.e. functional near-infrared spectroscopy (fNIRS), could also be used for assessing this individual risk response. If so, fNIRS could then potentially be used in field studies on risky decision-making thanks to its more portable nature. So far, the method has not been widely applied in decision-making research within the laboratory. The few studies that used fNIRS in decision-related task paradigms did either not differentiate cortical signals between typical decision parameters, but reported results over whole task durations (Suhr and Hammers, 2010); or focused on non-risk-related decision aspects such as wins and losses (Cazzell et al., 2012), which do not provide insight into individual risk processing. In the present study, regarding the alternatives stated above, we expected that the hemodynamic activity of the lateral prefrontal cortex to high versus low risk measured with fNIRS shows a similar negative linear relation with risk aversion as the activity previously measured with fMRI. Such a finding would provide face-value for the use of fNIRS in financial and economic decision research.
The second question of the present study was to compare fNIRS during risky decisions with electrodermal activity (EDA). EDA offers a psychophysiological technique of measuring affective reactivity (Boucsein, 1992, Critchley et al., 2000). It has a similar temporal profile as the hemodynamic response measured by fNIRS but found much wider use in decision-making research (Figner and Murphy, 2010). Previous studies using EDA evaluating decision processing with respect to risk showed that EDA can reflect both increasing risk (Bechara et al., 1999, Studer and Clark, 2011, Yen et al., 2012) and increasing expected value (Glöckner et al., 2012, Yen et al., 2012). There are so far few studies that assessed simultaneously the physiological responses of fNIRS and EDA, e.g. (Combe et al., 2010, Kirilina et al., 2012, Matsuo et al., 2003, Solovey et al., 2012, Watanabe et al., 2011, Zimmermann et al., 2013), but not in decision-making research. Moreover, from a methodological point of view, it is entirely unclear whether the two methods have comparable sensitivity in detecting individual risk-related differences.
The third question of the present study was how EDA reflects individual risk attitude. So far previous research did not assess whether EDA reflects risk for example in a similar way as the hemodynamic response measured by fMRI (first alternative), or whether it reflects risk based on one of the other alternatives. In the decision-making literature EDA has typically been associated with the arousal dimension of affect, indexing its intensity (Figner and Murphy, 2010). According to this notion and the above reasoning, one would expect a curvilinear relation between risk attitude and EDA (third alternative). However, EDA has also been shown to reflect the properties of affective stimuli more objectively and irrespective of their positive or negative valence (Fowles, 1986). According to this notion and the above reasoning, one would expect a flat relation between risk attitude and EDA (fourth alternative).
Section snippets
Subjects
Twenty healthy subjects were investigated (9 females, mean age (± STD) 28.4 ± 3.9). All subjects were right-handed (mean laterality quotient (LQ ± STD) = 83.4 ± 13.9) according to the Edinburgh Handedness Inventory (Oldfield, 1971). Exclusion criteria were any history of visual, neurological or psychiatric disorder or any current medication. All subjects gave written informed consent. The study was approved by the ethics committee of the Canton Zurich and performed in accordance with the Declaration of
Risk attitude
Estimation of certainty equivalents (CEs) was used as formal choice-based measure of risk attitude (Luce, 2000). Using all the choices a given subject made, CEs were determined for every risky option as the points of equal preference, i.e. the safe amount for which a subject would be indifferent between the safe and the risky option. Thus, CEs quantify individual risk attitude and discriminate between risk-averse and risk-seeking individuals. Fig. 1B illustrates that CEs significantly increased
Discussion
The present study found decreased fNIRS responses in risk-averse subjects during high- compared to low-risk options. This suggests that fNIRS can capture hemodynamic responses in lateral prefrontal cortex to risk similarly as fMRI. By using fNIRS rather than fMRI, the present findings go beyond the previous ones in that they reveal method-independence of the subjective value signals in lateral prefrontal cortex. Moreover, we find that fNIRS can detect decision-related cortical activity, thereby
Conflict of interest
The authors have no conflict of interest.
Acknowledgment
The authors thank all participants for taking part in this research as well as the Swiss Foundation for Grants in Biology and Medicine (SFGBM) and the Swiss National Science Foundation (Grants PASMP3_136987, PP00P1_128574, and CRSII3_141965) for financial support.
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