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Bipolar Disorder: Decision-Making and Learning from Rewards

Examining how bipolar disorder affects decision-making and learning from rewards.

― 6 min read


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Table of Contents

Bipolar Disorder (BD) is a long-term mental health condition that features extreme mood swings. These moods can swing from very high (mania) to very low (depression), with some periods where people feel more stable, known as euthymia. People with BD often have difficulties in how they respond to rewards and make decisions. This article explores these aspects, especially how individuals with BD learn from rewards in changing situations and what happens in their brains during this process.

Mood Changes and Decision-making in BD

People with bipolar disorder experience various mood changes. During manic phases, they may feel overly energetic or euphoric, while in depressive states, they can feel very low and hopeless. Between these extremes, there are periods of normal mood, where they are neither overly manic nor depressed. Even during these stable periods, studies show that individuals with BD can struggle with making decisions based on rewards and can react differently to positive and negative feedback.

Some research suggests that people with BD may have an unusual way of processing rewards. For example, they might be more sensitive to negative feedback compared to positive rewards, or they could learn less effectively from these positive outcomes. This mixed performance creates a challenge in understanding the overall behavior of individuals with BD.

The Role of Computational Models

To gain more clarity, researchers are using computational models to break down how mood changes affect decision-making and Reward Processing in people with BD. These models help explain how individuals with BD might adjust their expectations about rewards based on past experiences. For instance, someone with BD might expect the world to be more unpredictable, which could lead them to make riskier choices based on their past rewards or failures.

The Current Study’s Focus

This article examines how people with BD make decisions in situations where rewards are not constant. Specifically, it investigates how BD patients think about the likelihood of winning and how their expectations affect their Learning during this process. The primary goal is to see if individuals with BD think their environment is more changeable than it actually is, which could lead to mistakes in decision-making.

Participants in the Study

The study involved two groups: individuals diagnosed with bipolar disorder and a control group of healthy individuals. All participants underwent assessments to ensure they met certain criteria. The BD participants had to be stable for a period, meaning they were not experiencing major mood swings at the time of testing. This aspect is essential to isolate the impact of the disorder itself on decision-making and learning.

Task: Reward-Based Learning

Both groups took part in a task designed to assess their learning abilities in relation to rewards. Participants had to learn to perform specific finger movements based on which movements were likely to lead to rewards. They learned two different sequences to earn points, which could be converted into real money. The task was designed so that the likelihood of earning rewards could change unpredictably.

During this task, researchers measured how well each group learned to respond based on the rewards they received. They also tracked how quickly participants reacted and how they adapted their actions based on different outcomes.

Results: How BD Patients Learned

Findings from the study showed that individuals with BD had a lower success rate in achieving rewards compared to their healthy counterparts. They were also less likely to repeat actions that had led to positive outcomes. Interestingly, BD patients exhibited a tendency to switch actions more frequently, especially after experiencing a win, suggesting a higher level of unpredictability in their decision-making.

Expectations vs. Reality

One of the key observations was that BD participants expected their environments to be more unstable than what was actually the case. This overestimation of change likely affected how they learned and adjusted their decisions based on past actions. Even though BD patients learned from their experiences, they were slower to adapt their beliefs about how likely they were to earn rewards.

Motor Performance and Reaction Times

Despite these challenges in decision-making, the study found that BD participants did not perform significantly slower in their physical actions when compared to healthy individuals. Both groups improved over time in their reaction times and the speed of their actions, indicating that while decision-making may be impaired, the drive to perform physically remained intact.

Brain Activity During Learning

To further investigate how these decision-making processes occurred in the brain, researchers used advanced imaging techniques. They looked specifically at how certain brain waves, associated with processing information, differed between the two groups. BD participants showed different patterns of brain activity, particularly in areas linked to decision-making and reward processing.

Importance of Brain Waves

Researchers found that when BD participants received feedback about their actions, there were noticeable differences in brain activity. Specifically, BD individuals had reduced activity in certain brain waves associated with handling predictions about outcomes. This underactive response may relate to the difficulties they face in adjusting their beliefs about the likelihood of rewards.

Connections Between Brain Areas

In examining the flow of information between brain regions, researchers noted that connections appeared to be stronger in BD participants. This suggests a different way of processing information, potentially leading to the observed decision-making errors. For instance, the increased information flow in the beta frequency range indicates a heightened state of awareness or readiness to react, but it could also lead to confusion during uncertain situations.

Implications for Treatment

Understanding these mechanisms is important not only for comprehending BD but also for improving treatment approaches. If certain patterns of thought and brain activity can be identified, they may serve as targets for therapy, helping individuals with BD make better decisions and manage their expectations more effectively.

Conclusion

In summary, this study provides insights into how bipolar disorder impacts decision-making and learning from rewards. Individuals with BD tend to overestimate the volatility of their environments, affecting their ability to make optimal choices. While their motor performance remains strong, their cognitive processes related to decision-making could benefit from targeted interventions. Further research is necessary to explore how these findings can enhance treatment strategies and support individuals with bipolar disorder in their daily lives.

Original Source

Title: Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder

Abstract: Bipolar disorder (BD) involves altered reward processing and decision-making, with inconsistencies across studies. Here, we integrated hierarchical Bayesian modelling with magnetoencephalography (MEG) to characterise maladaptive belief updating in this condition. First, we determined if previously reported increased learning rates in BD stem from a heightened expectation of environmental changes. Additionally, we examined if this increased expectation speeds up belief updating in decision-making, associated with modulation of rhythmic neural activity within the prefrontal, orbitofrontal, and anterior cingulate cortex (PFC, OFC, ACC). Twenty-two 22 euthymic BD and 27 healthy control (HC) participants completed a reward-based motor decision-making task in a volatile setting. Hierarchical Bayesian modelling revealed BD participants anticipated greater environmental volatility, resulting in a more stochastic mapping from beliefs to actions and paralleled by lower win rates and a reduced tendency to repeat rewarded actions than HC. Despite this, BD individuals adjusted their expectations of action-outcome contingencies more slowly, but both groups invigorated their actions similarly. On a neural level, while healthy individuals exhibited an alpha-beta suppression and gamma increase during belief updating, BD participants showed dampened effects, extending across the PFC, OFC, and ACC regions. This was accompanied by an abnormally increased beta-band directed information flow in BD. Overall, the results suggest euthymic BD individuals anticipate environmental change without adequately learning from it, contributing to maladaptive belief updating. Alterations in frequency-domain amplitude and functional connectivity within the PFC, OFC, and ACC during belief updating underlie the computational effects and could serve as potential indicators for predicting relapse in future research.

Authors: Maria Herrojo Ruiz, M. Ivanova, K. Germanova, P. Dmitry, A. Ragimova, G. Kopytin, B. Volel, V. Nikulin

Last Update: 2024-03-29 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.03.26.586656

Source PDF: https://www.biorxiv.org/content/10.1101/2024.03.26.586656.full.pdf

Licence: https://creativecommons.org/licenses/by-nc/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to biorxiv for use of its open access interoperability.

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