Better tests of consciousness are needed, but skepticism about unconscious processes is unwarranted

2014 ◽  
Vol 37 (1) ◽  
pp. 36-37 ◽  
Author(s):  
Ryan Ogilvie ◽  
Peter Carruthers
Keyword(s):  
Decision Making ◽  
Iowa Gambling Task ◽  
Causal Role ◽  
Gambling Task ◽  
Unconscious Thought ◽  
Unconscious Processes

AbstractWhat people report is, at times, the best evidence we have for what they experience. Newell & Shanks (N&S) do a service for debates regarding the role of unconscious influences on decision making by offering some sound methodological recommendations. We doubt, however, that those recommendations go far enough. For even if people have knowledge of the factors that influence their decisions, it does not follow that such knowledge is conscious, and plays a causal role, at the time the decision is made. Moreover, N&S fail to demonstrate that unconscious thought plays no role at all in decision making. Indeed, such a claim is quite implausible. In making these points we comment on their discussion of the literature on expertise acquisition and the Iowa Gambling Task.

scholarly journals The Orbitofrontal Cortex Represents Advantageous Choice in the Iowa Gambling Task

2021 ◽  
Author(s):  
Rujing Zha ◽  
Peng Li ◽  
Ying Li ◽  
Nan Li ◽  
Meijun Gao ◽  
...  
Keyword(s):  
Decision Making ◽  
Orbitofrontal Cortex ◽  
Iowa Gambling Task ◽  
Real Life ◽  
Binary Choice ◽  
Learning Tools ◽  
Gambling Task ◽  
Complex Decision Making ◽  
Complex Decision

Abstract A good-based model proposes that the orbitofrontal cortex (OFC) represents binary choice outcome, i.e., the chosen good. Previous studies have found that the OFC represents the binary choice outcome in decision-making tasks involving commodity type, cost, risk, and delay. Real-life decisions are often complex and involve uncertainty, rewards, and penalties; however, whether the OFC represents binary choice outcomes in a such decision-making situation, e.g., Iowa gambling task (IGT), remains unclear. Here, we propose that the OFC represents binary choice outcome, i.e., advantageous choice versus disadvantageous choice, in the IGT. We propose two hypotheses: first, the activity pattern in the human OFC represents an advantageous choice; and second, choice induces an OFC-related functional network. Using functional magnetic resonance imaging and advanced machine learning tools, we found that the OFC represented an advantageous choice in the IGT. The OFC representation of advantageous choice was related to decision-making performance. Choice modulated the functional connectivity between the OFC and the superior medial gyrus. In conclusion, the OFC represents an advantageous choice during the IGT. In the framework of a good-based model, the results extend the role of the OFC to complex decision-making when making a binary choice.

scholarly journals Role of Cortisol and Testosterone in Risky Decision-Making: Deciphering Male Decision-Making in the Iowa Gambling Task

2021 ◽  
Vol 15 ◽  
Author(s):  
Varsha Singh
Keyword(s):  
Decision Making ◽  
Working Memory ◽  
Iowa Gambling Task ◽  
Stress Hormones ◽  
Hierarchical Regression ◽  
Gambling Task ◽  
Risky Decision ◽  
Cognitive Benefits

Despite the widely observed high risk-taking behaviors in males, studies using the Iowa gambling task (IGT) have suggested that males choose safe long-term rewards over risky short-term rewards. The role of sex and stress hormones in male decision-making is examined in the initial uncertainty and the latter risk phase of the IGT. The task was tested at peak hormone activity, with breath counting to facilitate cortisol regulation and its cognitive benefits. Results from IGT decision-making before and after counting with saliva samples from two all-male groups (breath vs. number counting) indicated that cortisol declined independent of counting. IGT decision-making showed phase-specific malleability: alteration in the uncertainty phase and stability in the risk phase. Working memory showed alteration, whereas inhibition task performance remained stable, potentially aligning with the phase-specific demands of working memory and inhibition. The results of hierarchical regression for the uncertainty and risk trials indicated that testosterone improved the model fit, cortisol was detrimental for decision-making in uncertainty, and decision-making in the risk trials was benefitted by testosterone. Cortisol regulation accentuated hormones’ phase-specific effects on decision-making. Aligned with the dual-hormone hypothesis, sex, and stress hormones might jointly regulate male long-term decision-making in the IGT.

Working Memory Involvement in Emotion-Based Processes Underlying Choosing Advantageously

2006 ◽  
Vol 53 (3) ◽  
pp. 191-197 ◽  
Author(s):  
Anna Pecchinenda ◽  
Michael Dretsch ◽  
Paul Chapman
Keyword(s):  
Decision Making ◽  
Working Memory ◽  
Iowa Gambling Task ◽  
Memory Load ◽  
Gambling Task ◽  
Working Memory Load ◽  
Memory Functions ◽  
Normal Performance

The Iowa Gambling Task (IGT) is widely used to assess decision making under conditions of uncertainty in clinical as well as in nonclinical populations. However, there is still debate as to whether normal performance at this task relies on implicit, emotion-based processes that are independent of working memory. To clarify the role of working memory on normal performance on the IGT, participants performed the task under low or high working memory load. We used a modified version of the original task, in which the position of the four decks was randomized between trials. Results showed that only participants performing under low memory load significantly chose more advantageously halfway through the task. In addition, when comparing the number of cards chosen from the two decks with frequent losses, one advantageous and one disadvantageous, only participants performing under low memory load chose more cards from the advantageous deck. The present findings indicate that the processes underlying optimal advantageous performance on the IGT rely on working memory functions.

Differences in Reward and Persistency characterise Behavior in Chronic Pain for the Iowa Gambling Task in a Web-based Lab-in-the-field study (Preprint)

2020 ◽  
Author(s):  
Lili Zhang ◽  
Himanshu Vashisht ◽  
Alekhya Nethra ◽  
Brian Slattery ◽  
Tomas Ward
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Chronic Pain ◽  
Iowa Gambling Task ◽  
Learning Curves ◽  
Self Report ◽  
Healthy Controls ◽  
Gambling Task ◽  
Convenience Sample ◽  
Pain Experiences

BACKGROUND Chronic pain is a significant world-wide health problem. It has been reported that people with chronic pain experience decision-making impairments, but these findings have been based on conventional lab experiments to date. In such experiments researchers have extensive control of conditions and can more precisely eliminate potential confounds. In contrast, there is much less known regarding how chronic pain impacts decision-making captured via lab-in-the-field experiments. Although such settings can introduce more experimental uncertainty, it is believed that collecting data in more ecologically valid contexts can better characterize the real-world impact of chronic pain. OBJECTIVE We aim to quantify decision-making differences between chronic pain individuals and healthy controls in a lab-in-the-field environment through taking advantage of internet technologies and social media. METHODS A cross-sectional design with independent groups was employed. A convenience sample of 45 participants were recruited through social media - 20 participants who self-reported living with chronic pain, and 25 people with no pain or who were living with pain for less than 6 months acting as controls. All participants completed a self-report questionnaire assessing their pain experiences and a neuropsychological task measuring their decision-making, i.e. the Iowa Gambling Task (IGT) in their web browser at a time and location of their choice without supervision. RESULTS Standard behavioral analysis revealed no differences in learning strategies between the two groups although qualitative differences could be observed in learning curves. However, computational modelling revealed that individuals with chronic pain were quicker to update their behavior relative to healthy controls, which reflected their increased learning rate (95% HDI from 0.66 to 0.99) when fitted with the VPP model. This result was further validated and extended on the ORL model because higher differences (95% HDI from 0.16 to 0.47) between the reward and punishment learning rates were observed when fitted on this model, indicating that chronic pain individuals were more sensitive to rewards. It was also found that they were less persistent in their choices during the IGT compared to controls, a fact reflected by their decreased outcome perseverance (95% HDI from -4.38 to -0.21) when fitted using the ORL model. Moreover, correlation analysis revealed that the estimated parameters had predictive value for the self-reported pain experiences, suggesting that the altered cognitive parameters could be potential candidates for inclusion in chronic pain assessments. CONCLUSIONS We found that individuals with chronic pain were more driven by rewards and less consistent when making decisions in our lab-in-the-field experiment. In this case study, it was demonstrated that compared to standard statistical summaries of behavioral performance, computational approaches offered superior ability to resolve, understand and explain the differences in decision- making behavior in the context of chronic pain outside the lab.

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