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Connecting Emotions to Physical Reactions

Study reveals complex links between feelings and body responses, emphasizing individual differences.

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When we go to a thrilling concert or watch a scary movie, we often feel strong emotions. These emotions can lead to physical reactions, like sweating, a racing heart, or even feeling faint. Scientists have been trying to figure out how our feelings connect to these physical changes. Specifically, they want to know if similar feelings result in the same physical reactions within the same person.

Our study looks into this connection between feelings and physical reactions in two different groups of people. We focused on three tasks known to stir up emotions. There are different opinions on how feelings and physical changes relate to each other. Some experts believe that feelings come from two brain systems that help us survive: one for seeking pleasure and another for avoiding danger. Depending on which system is activated, we might feel different emotions and have various physical reactions.

Importantly, when these systems turn on, our bodies prepare to react in ways that help us handle what’s happening. Although many agree that our feelings can reflect these systems’ activities, the exact relationship between our feelings and physical responses is still debated. To get to the bottom of this, we used a method called representational similarity analysis (RSA), which helps analyze how feelings and physical responses relate to each other.

Theories About Feelings and Physical Responses

Historically, researchers have thought that similar emotional experiences should trigger similar physical reactions. This idea is known as the fingerprint hypothesis. It suggests that different emotions have unique and consistent physical responses. For instance, feeling happy might lead to different physical reactions compared to feeling sad.

In contrast, there’s another idea called the populations hypothesis. This theory suggests that when we feel similar emotions, we might not have the same physical responses. Instead, our reactions can vary widely based on our individual experiences, the situation we are in, and even how we perceive the event. This indicates that emotions are complex and can’t always be linked to specific reactions.

Measuring Feelings and Physical Responses

To study how feelings relate to physical responses, we looked at two main physical measures: skin conductance response (SCR) and startle eye blink response. SCR measures how much sweat we produce, which tends to increase when a person feels aroused or excited. The startle response measures how much we jump when startled by a sudden noise, which can change based on whether we feel threatened or safe.

Research shows that high-arousal events lead to higher SCR compared to calmer ones. This means that both positive and negative experiences can increase sweat production, suggesting that SCR is linked more to how stirred up we feel rather than whether the feeling is good or bad.

On the other hand, the startle response is more connected to the type of emotion we are experiencing. It tends to be stronger when we feel something negative and weaker when we feel something positive, indicating that different feelings may show up in different ways in our bodies.

Despite these findings, newer research suggests that our feelings and physical reactions may not work in the same way. Some researchers propose that our bodies respond to current needs or situations. This idea posits that our bodies continuously adjust to what’s happening around us, which may not always directly reflect our emotional state.

The Importance of Individual Differences

While previous studies have highlighted strong relationships between feelings and physical responses, they often looked at groups rather than individuals. This approach might overlook how much these relationships can vary from one person to another. For example, two different people may feel fear during a scary movie, but their bodies might react in different ways.

To address this, our study analyzed responses from individuals rather than averaging data across groups. This allowed us to better understand the unique physiological patterns that emerge. We also compared different models of how feeling and physiological responses relate to each other, focusing on how individual variations might change our interpretations.

Methodology

The study involved two main samples: a discovery sample and a replication sample. In the discovery sample, participants viewed pictures designed to evoke emotions. They also completed tasks that involved listening to sounds and imagining scenarios meant to stimulate feelings.

In the replication sample, participants went through similar tasks, ensuring that we could test whether our findings held true across different contexts. After each task, participants rated their feelings using scales that measured how pleasant or exciting they felt.

To analyze data, we created representational similarity matrices (RSMs), which helped us compare how closely related participants’ feelings and physical reactions were. This method allows us to see whether responses to emotions lined up according to the predicted models: the fingerprint hypothesis or the populations hypothesis.

Results

Skin Conductance Responses

When we looked at SCR in the discovery sample, we saw that when we didn’t consider individual differences, participants’ responses aligned closely with the fingerprint hypothesis. This means that average results seemed to support the idea that similar feelings produced similar physiological responses.

However, when we factored in each person’s variability, the relationship shifted and indicated support for the populations hypothesis. This suggested that while there are trends, reactions can still differ even when feelings are similar.

Startle Eye Blink Responses

The startle responses followed a similar pattern. When we averaged across participants disregarding individual variability, the results supported the fingerprint hypothesis. Yet, when we included individual variability, the results leaned towards the populations hypothesis. This shows that responses to emotional stimuli can greatly differ from person to person, even when they report similar feelings.

Comparing Models

After determining how well the RSMs matched the different models, we found clear distinctions between the two approaches. The RSMs that factored in individual differences provided a clearer picture of how varied responses could be, which aligns more closely with the populations hypothesis and emphasizes the complexity of emotional responses.

Implications of the Findings

These results have significant implications for understanding how emotions and physical reactions relate to each other. First, they suggest that ignoring individual variability can lead to misleading conclusions about how universal physiological responses are to emotional stimuli. By taking individual differences into account, we can have a clearer view of how people uniquely experience emotions.

The findings highlight the importance of considering both physiological and psychological aspects of emotions. They stress that our feelings don’t always create consistent physical responses, and this variability may affect how we interpret our emotional experiences.

Future Research Directions

Moving forward, studies should consider real-time tracking of both physiological responses and emotional experiences to deepen our understanding. This could involve recording participants’ feelings as they happen alongside measuring physiological reactions, providing a more comprehensive view of how emotions develop over time.

Additionally, research could explore how specific contexts influence the relationship between feelings and physiological responses. Understanding these dynamics could help develop better strategies for psychological assessment and interventions, especially for individuals dealing with emotional disorders.

Conclusion

In summary, our study reveals the complex relationship between feelings and physical responses. While some aspects seem to align with the fingerprint hypothesis, the consideration of individual differences provides strong support for the populations hypothesis. This understanding highlights the need to appreciate the variability in emotional experiences and the physiological responses they evoke. Future studies should continue exploring these relationships to uncover the nuances of human emotions and how they manifest in our bodies.

Original Source

Title: Physiological Harmony or Discord? Unveiling the Correspondence Between Subjective Arousal, Valence and Physiological Responses

Abstract: Affective experiences are inevitably accompanied by physiological changes, however it is still a matter of intense debate whether events evoking similar affective experiences produce comparable physiological responses (fingerprint hypothesis) or variation is the norm within individuals (population hypothesis). In two independent samples (N = 491; N = 64), we therefore used representational similarity analysis (RSA) to examine the trial-by-trial similarity patterns of subjective experience of valence and arousal and affect-related physiological measures (skin conductance [SCR] and startle blink responses). Across different affect-inducing tasks and samples, we observed strong-to-decisive evidence for a correspondence between SCR and startle responses and models of arousal and valence that assume variation, especially between trials generally evoking higher responses. Our results show that similar affective experiences are rather reflected by distinct physiological responses and emphasize the importance of considering intraindividual variability in future studies to better understand how physiological changes contribute to conscious affective experiences in humans.

Authors: Carlos Ventura-Bort, A. Koppold, T. B. Lonsdorf, M. Kuhn, M. Weymar

Last Update: 2024-07-04 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.05.31.596899

Source PDF: https://www.biorxiv.org/content/10.1101/2024.05.31.596899.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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