Recent evidence suggests that the presence of music experienced as pleasant positively influences episodic memory (EM) encoding. However, it is unclear whether this impact of pleasant music holds regardless of how arousing the music is, and what influence, if any, music-induced aesthetic emotions have. Furthermore, most music EM studies have used verbal or facial memory tasks limiting the generalisability of these findings to everyday EMs with spatiotemporal richness. The current study used an online what-where-when paradigm to assess music's influence on EM encoding in a rich spatiotemporal environment. 105 participants carried out the what-where-when task in the presence of either silence or one of four musical stimuli falling into the four corners of the 2-D circumplex emotion model. We observed an interaction effect between the pleasantness and arousingness of music stimuli, whereby for pleasant stimuli, the low arousing excerpt was associated with better recall performance compared to the high arousing excerpt. We also observed that, across all excerpts, experience of negative aesthetic emotions was associated with compromised recall performance. Together, our results confirm the deleterious influence arousing stimuli can have on memory and support the notion that aesthetic-emotional experience of music can influence how memories are encoded in everyday life.
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http://dx.doi.org/10.1080/02699931.2023.2185206 | DOI Listing |
Front Psychol
January 2025
Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, Netherlands.
Introduction: Sensory Processing Sensitivity (SPS) describes individual differences in sensitivity to environments, but there is little research on potential positive correlates of SPS. Hereby we investigate whether SPS and its Aesthetic Sensitivity (AES) component are associated with different facets of creativity and empathy.
Methods: Questionnaires on SPS, creativity and empathy were administered to 296 participants and data were analyzed using hierarchical multiple regression.
Postepy Dermatol Alergol
December 2024
Department of Dermatology, Venereology and Allergology, Wroclaw Medical University, Wroclaw, Poland.
Introduction: Tattoos are a form of body modifications. Alexithymia is a complex personality structure that includes emotional and cognitive deficits such as difficulty in recognizing and describing feelings.
Aim: To assess the prevalence of alexithymia among tattooed individuals.
Front Sports Act Living
January 2025
Faculty of Kinesiology and Physical Education, University of Toronto, Toronto, ON, Canada.
Introduction: Psychological abuse continues to be the most frequently reported type of maltreatment among athletes leading to negative mental health such as low mood and self-esteem, increased anxiety, self-harm, and eating disorders. Preliminary evidence suggests athlete satisfaction can influence the perceived outcomes associated with psychological abuse. Despite its negative impacts on athletes, psychological abuse continues to be justified as a tool to enhance athletic performance.
View Article and Find Full Text PDFJ Neurol
January 2025
Vienna Cognitive Science Hub, University of Vienna, Vienna, Austria.
Background: Conventional medical management, while essential, cannot address all multifaceted consequences of Parkinson's disease (PD). This pilot study explores the potential of a co-designed creative arts therapy on health-related quality of life, well-being, and pertinent non-motor symptoms.
Methods: We conducted an exploratory pilot study with a pre-post design using validated questionnaires.
Proc Natl Acad Sci U S A
January 2025
Department of Psychology, City College, City University of New York, New York, NY 10031.
Looking at the world often involves not just seeing things, but feeling things. Modern feedforward machine vision systems that learn to perceive the world in the absence of active physiology, deliberative thought, or any form of feedback that resembles human affective experience offer tools to demystify the relationship between seeing and feeling, and to assess how much of visually evoked affective experiences may be a straightforward function of representation learning over natural image statistics. In this work, we deploy a diverse sample of 180 state-of-the-art deep neural network models trained only on canonical computer vision tasks to predict human ratings of arousal, valence, and beauty for images from multiple categories (objects, faces, landscapes, art) across two datasets.
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