Functional specificity and neural integration in the aesthetic appreciation of artworks with implied motion

Abstract

Although there is growing interest in the neural foundations of aesthetic experience, it remains unclear how particular mental subsystems (e.g. perceptual, affective and cognitive) are involved in different types of aesthetic judgements. Here, we use fMRI to investigate the involvement of different neural networks during aesthetic judgements of visual artworks with implied motion cues. First, a behavioural experiment \((N = 45)\) confirmed a preference for paintings with implied motion over static cues. Subsequently, in a preregistered fMRI experiment \((N = 27)\), participants made aesthetic and motion judgements towards paintings representing human bodies in dynamic and static postures. Using functional region-of-interest and Bayesian multilevel modelling approaches, we provide no compelling evidence for unique sensitivity within or between neural systems associated with body perception, motion and affective processing during the aesthetic evaluation of paintings with implied motion. However, we show suggestive evidence that motion and body-selective systems may integrate signals via functional connections with a separate neural network in dorsal parietal cortex, which may act as a relay or integration site. Our findings clarify the roles of basic visual and affective brain circuitry in evaluating a central aesthetic feature—implied motion—while also pointing towards promising future research directions, which involve modelling aesthetic preferences as hierarchical interplay between visual and affective circuits and integration processes in frontoparietal cortex.

@article{baraFunctionalSpecificity2021,
  title = {Functional specificity and neural integration in the aesthetic appreciation of artworks with implied motion},
  author = {Ionela Bara and Kohinoor Monish Darda and A. Solomon Kurz and Richard Ramsey},
  journal = {European Journal of Neuroscience},
  year = 2021,
  volume = 54,
  issue = 9,
  page = 7231–7259,
  doi = {https://doi.org/10.1111/ejn.15479}
}