The high levels of polarization raise concerns about individuals' decreased ability to empathize and understand the representatives of political out-groups. As such, our political biases may lead us to misunderstand out-group politicians. In the current study, we examine the mu rhythm, a neural oscillation in the sensorimotor cortex related to the processing and understanding of other people's actions, intentions and emotions. The mu rhythm is particularly responsive towards the emotional expressions of others and sensitive to social biases. Hence, we examine (1) whether the emotions displayed by politicians lead to more mu event-related-desynchronization (mu-ERD), (2) whether it matters which emotion (angry, happy, neutral) is displayed, and (3) whether neural responses differ when emotions are displayed by politicians we support (in-party politician) compared to politicians we do not support (out-party politician). To test this, we recorded electroencephalogram (EEG) responses during a preregistered Go/No Go mimicry experiment (N = 47, Obs = 1104), in which participants are presented with dynamic morphed emotional displays of Dutch politicians (in- and out-party) and non-politicians. We find that politicians emotional displays increase participants' mu-ERD compared to static neutral displays. Most mu-ERD is found for out-party politicians, especially when angry. In addition, we explored alpha oscillations (related to visual attention), where we find the strongest alpha-ERD for the out-party happy condition. Overall our results suggest that our brain is specifically attuned to process the emotions of out-party politicians.
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http://dx.doi.org/10.1038/s41598-025-92898-6 | DOI Listing |
Schizophr Bull Open
January 2025
Neuropsychology and Applied Cognitive Neuroscience Laboratory, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
Background And Hypothesis: Affective forecasting (AF), the ability to forecast emotional responses for future events, is critical for optimal decision-making and mental health. Most previous AF studies were conducted using laboratory-based tasks but overlooked the impacts of real-life situations and social interactions. This study used the experience sampling method to examine real-life AF in young healthy adults and individuals with high social anhedonia.
View Article and Find Full Text PDFSci Rep
March 2025
Department of Psychology, The American College of Greece, Athens, Greece.
The high levels of polarization raise concerns about individuals' decreased ability to empathize and understand the representatives of political out-groups. As such, our political biases may lead us to misunderstand out-group politicians. In the current study, we examine the mu rhythm, a neural oscillation in the sensorimotor cortex related to the processing and understanding of other people's actions, intentions and emotions.
View Article and Find Full Text PDFIn consumer research, understanding consumer behavior and experiences is vital for making informed decisions about product design, innovation and marketing. Zaltman's Metaphor Elicitation Technique (ZMET) leverages metaphors and non-verbal communication to uncover and gain deeper insights into consumers' thoughts and emotions. This paper introduces a novel system that enables consumer researchers (interviewers) to perform a modified version of metaphor elicitation interviews in virtual reality (VR).
View Article and Find Full Text PDFBrain Commun
February 2025
Department of Early Life Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London, London SE1 7EH, UK.
Adults born very preterm (i.e. at <33 weeks' gestation) are more susceptible to long-lasting structural and functional brain alterations and cognitive and socio-emotional difficulties, compared with full-term controls.
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