scholarly journals Neural correlates of cue‐induced changes in decision‐making distinguish subjects with gambling disorder from healthy controls

2020 ◽  
Author(s):  
Alexander Genauck ◽  
Caroline Matthis ◽  
Milan Andrejevic ◽  
Lukas Ballon ◽  
Francesca Chiarello ◽  
...  
Keyword(s):  
Decision Making ◽  
Gambling Disorder ◽  
Neural Correlates ◽  
Healthy Controls ◽  
Induced Changes

scholarly journals Cue‐induced effects on decision‐making distinguish subjects with gambling disorder from healthy controls

2019 ◽  
Vol 25 (6) ◽  
Author(s):  
Alexander Genauck ◽  
Milan Andrejevic ◽  
Katharina Brehm ◽  
Caroline Matthis ◽  
Andreas Heinz ◽  
...  
Keyword(s):  
Decision Making ◽  
Gambling Disorder ◽  
Healthy Controls

scholarly journals Cue-induced effects on decision-making distinguish subjects with gambling disorder from healthy controls

2019 ◽  
Author(s):  
Alexander Genauck ◽  
Milan Andrejevic ◽  
Katharina Brehm ◽  
Caroline Matthis ◽  
Andreas Heinz ◽  
...  
Keyword(s):  
Decision Making ◽  
Loss Aversion ◽  
Gambling Disorder ◽  
Substance Dependence ◽  
Receiver Operating Curve ◽  
Addictive Disorders ◽  
Emotional Cues ◽  
Healthy Control ◽  
Induced Changes ◽  
Task Parameters

ABSTRACTWhile an increased impact of cues on decision-making has been associated with substance dependence, it is yet unclear whether this is also a phenotype of non-substance related addictive disorders, such as gambling disorder. To better understand the basic mechanisms of impaired decision-making in addiction, we investigated whether cue-induced changes in decision-making could distinguish gambling disorder (GD) from healthy control (HC) subjects. We expected that cue-induced changes in gamble acceptance and specifically in loss aversion would distinguish GD from HC subjects.30 GD subjects and 30 matched HC subjects completed a mixed gambles task where gambling and other emotional cues were shown in the background. We used machine learning and classification to carve out the importance of cue-dependency of decision-making and of loss aversion for distinguishing GD from HC subjects.Cross-validated classification yielded an area under the receiver operating curve (AUC-ROC) of 68.9% (p=0.002). Applying the classifier to an independent sample yielded an AUC-ROC of 65.0% (p=0.047). As expected, the classifier used cue-induced changes in gamble acceptance to distinguish GD from HC. Especially increased gambling during the presentation of gambling cues was characteristic of GD subjects. However, unexpectedly, cue-induced changes in loss aversion were irrelevant for distinguishing GD from HC subjects. To our knowledge, this is the first study to investigate the classificatory power of addiction-relevant behavioral task parameters when distinguishing GD from HC subjects. The results indicate that cue-induced changes in decision-making are a characteristic feature of addictive disorders, independent of a substance of abuse.

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.

scholarly journals Decision making under ambiguity and risk in adolescent-onset schizophrenia

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Dandan Li ◽  
Fengyan Zhang ◽  
Lu Wang ◽  
Yifan Zhang ◽  
Tingting Yang ◽  
...  
Keyword(s):  
Decision Making ◽  
Executive Function ◽  
Iowa Gambling Task ◽  
Clinical Symptoms ◽  
Healthy Controls ◽  
Syndrome Scale ◽  
Significant Difference ◽  
Abnormal Pattern ◽  
Negative Syndrome ◽  
The Relationship

Abstract Objective Numerous studies have identified impaired decision making (DM) under both ambiguity and risk in adult patients with schizophrenia. However, the assessment of DM in patients with adolescent-onset schizophrenia (AOS) has been challenging as a result of the instability and heterogeneity of manifestations. The Iowa Gambling Task (IGT) and Game of Dice Task (GDT), which are frequently used to evaluate DM respectively under ambiguity and risk, are sensitive to adolescents and neuropsychiatric patients. Our research intended to examine the performance of DM in a relatively large sample of patients with AOS using the above-mentioned two tasks. We also aimed to take a closer look at the relationship between DM and symptom severity of schizophrenia. Methods We compared the performance of DM in 71 patients with AOS and 53 well-matched healthy controls using IGT for DM under ambiguity and GDT for DM under risk through net scores, total scores and feedback ration. Neuropsychological tests were conducted in all participants. Clinical symptoms were evaluated by using Positive and Negative Syndrome Scale (PANSS) in 71 patients with AOS. Pearson’s correlation revealed the relationship among total score of DM and clinical and neuropsychological data. Results Compared to healthy controls, patients with AOS failed to show learning effect and had a significant difference on the 5th block in IGT and conducted more disadvantageous choices as well as exhibited worse negative feedback rate in GDT. Apart from DM impairment under risk, diminished DM abilities under ambiguity were found related to poor executive function in AOS in the present study. Conclusions Our findings unveiled the abnormal pattern of DM in AOS, mainly reflected under the risky condition, extending the knowledge on the performance of DM under ambiguity and risk in AOS. Inefficient DM under risk may account for the lagging impulse control and the combined effects of developmental disease. In addition, our study demonstrated that the performance on IGT was related to executive function in AOS.

Neural correlates of Traditional Chinese Medicine induced advantageous risk-taking decision making

2009 ◽  
Vol 71 (3) ◽  
pp. 354-361 ◽  
Author(s):  
Tiffany M.Y. Lee ◽  
Li-guo Guo ◽  
Hong-zhi Shi ◽  
Yong-zhi Li ◽  
Yue-jia Luo ◽  
...  
Keyword(s):  
Decision Making ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Risk Taking ◽  
Neural Correlates

Neural correlates of visuospatial working memory in attention-deficit/hyperactivity disorder and healthy controls

2015 ◽  
Vol 233 (2) ◽  
pp. 233-242 ◽  
Author(s):  
Hanneke van Ewijk ◽  
Wouter D. Weeda ◽  
Dirk J. Heslenfeld ◽  
Marjolein Luman ◽  
Catharina A. Hartman ◽  
...  
Keyword(s):  
Attention Deficit Hyperactivity Disorder ◽  
Working Memory ◽  
Attention Deficit ◽  
Neural Correlates ◽  
Healthy Controls ◽  
Visuospatial Working Memory ◽  
Hyperactivity Disorder

scholarly journals Can binocular rivalry reveal neural correlates of consciousness?

2014 ◽  
Vol 369 (1641) ◽  
pp. 20130211 ◽  
Author(s):  
Randolph Blake ◽  
Jan Brascamp ◽  
David J. Heeger
Keyword(s):  
Decision Making ◽  
Binocular Rivalry ◽  
Neural Activity ◽  
Neural Correlates ◽  
Causal Link ◽  
Neural Dynamics ◽  
Perceptual Decision Making ◽  
Neural Correlate ◽  
Neural Correlates Of Consciousness ◽  
Neural Correlate Of Consciousness

This essay critically examines the extent to which binocular rivalry can provide important clues about the neural correlates of conscious visual perception. Our ideas are presented within the framework of four questions about the use of rivalry for this purpose: (i) what constitutes an adequate comparison condition for gauging rivalry's impact on awareness, (ii) how can one distinguish abolished awareness from inattention, (iii) when one obtains unequivocal evidence for a causal link between a fluctuating measure of neural activity and fluctuating perceptual states during rivalry, will it generalize to other stimulus conditions and perceptual phenomena and (iv) does such evidence necessarily indicate that this neural activity constitutes a neural correlate of consciousness? While arriving at sceptical answers to these four questions, the essay nonetheless offers some ideas about how a more nuanced utilization of binocular rivalry may still provide fundamental insights about neural dynamics, and glimpses of at least some of the ingredients comprising neural correlates of consciousness, including those involved in perceptual decision-making.

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