In two studies, we explored the frequency and phenomenology of musical imagery. Study 1 used retrospective reports of musical imagery to assess the contribution of individual differences to imagery characteristics. Study 2 used an experience sampling design to assess the phenomenology of musical imagery over the course of one week in a sample of musicians and non-musicians. Both studies found episodes of musical imagery to be common and positive: people rarely wanted such experiences to end and often heard music that (...) was personally meaningful. Several variables predicted musical imagery, including personality, musical preferences, and positive mood. Musicians tended to hear musical imagery more often, but they reported less frequent episodes of deliberately-generated imagery. Taken together, the present research provides new insights into individual differences in musical imagery, and it supports the emerging view that such experiences are common, positive, and more voluntary than previously recognized. (shrink)

The ability to distinguish between emotions is considered indicative of well-being, but does emotion differentiation in an aesthetic context also reflect deeper and more knowledgeable aesthetic experiences? Here we examine whether positive and negative ED in response to artistic stimuli reflects higher fluency in an aesthetic domain. Particularly, we test whether knowledge of the arts and curiosity are associated with more fine-grained positive and negative aesthetic experiences. A sample of 214 people rated their positive and negative feelings in response to (...) various artworks including positive and negative themes. Positive ED was associated with the embracing sub-trait of curiosity that reflects engagement and enjoyment of novelty and complexity, but was unrelated to artistic knowledge and perceived comprehension. Negative ED was associated with higher curiosity and particularly more knowledge of the arts. This relationship was mediated by appraised comprehension suggesting that deeper engagement with art, by those with more art knowledge, is associated with more fine-grained emotional experiences. This finding extends ED beyond well-being research and suggests that more nuanced emotional experiences are more likely for those with expertise in the arts and motivation for exploration. (shrink)

This comment proposes that Bullot & Reber's (B&R's) emphasis on historical and intentional knowledge expands the range of emotions that can be properly viewed as aesthetic states. Many feelings, such as anger, contempt, shame, confusion, and pride, come about through complex aesthetic meanings, which integrate conceptual knowledge, beliefs about the work and the artist's intentions, and the perceiver's goals and values.

Are intelligence and creativity distinct abilities, or do they rely on the same cognitive and neural systems? We sought to quantify the extent to which intelligence and creative cognition overlap in brain and behavior by combining machine learning of fMRI data and latent variable modeling of cognitive ability data in a sample of young adults (N = 186) who completed a battery of intelligence and creative thinking tasks. The study had 3 analytic goals: (a) to assess contributions of specific facets (...) of intelligence (e.g., fluid and crystallized intelligence) and general intelligence to creative ability (i.e., divergent thinking originality), (b) to model whole-brain functional connectivity networks that predict intelligence facets and creative ability, and (c) to quantify the degree to which these predictive networks overlap in the brain. Using structural equation modeling, we found moderate to large correlations between intelligence facets and creative ability, as well as a large correlation between general intelligence and creative ability (r = .63). Using connectome-based predictive modeling, we found that functional brain networks that predict intelligence facets overlap to varying degrees with a network that predicts creative ability, particularly within the prefrontal cortex of the executive control network. Notably, a network that predicted general intelligence shared 46% of its functional connections with a network that predicted creative ability—including connections linking executive control and salience/ventral attention networks—suggesting that intelligence and creative thinking rely on similar neural and cognitive systems. (shrink)