PERIODIC AND APERIODIC SPECTRAL SIGNATURES OF BEING MOVED BY ART
Abstract
Intense aesthetic experiences are among the most complex responses arising from the interaction of mind, brain, and context. Observations from fMRI suggest that when viewers feel highly moved by artworks, the underlying neural states differ from those accompanying less intense responses, particularly through recruitment of the DMN. Using electroencephalography and Bayesian category-specific cumulative link mixed models, we investigated whether such putative peak aesthetic responses exhibit threshold-specific neurodynamics rather than linear scaling with intensity. Twenty-two Chilean participants viewed 113 diverse local artworks whilst rating how moved they felt on a four-point scale. We analysed both canonical oscillatory power ({theta}-{gamma}) and aperiodic components (offset and exponent) during the contemplation window and the post-elicitor window. Threshold-specific effects were found: spectral features differentiated the highest rating category from moderate responses, rather than scaling uniformly across all intensity levels. During artwork visualisation, power in the {beta}1 and {beta}2 bands, as well as the interaction of {beta}1 with the 1/f exponent, predicted the transition to the most intense response; during the post-elicitor window, the aperiodic 1/f exponent predicted the transition from very low to higher-intensity responses. Modelling individual differences in spectral signatures (in the and {gamma} bands) credibly improved predictive performance (approximate leave-one-out cross-validation; elpd_loo), suggesting that neural variability reflects meaningful mechanistic heterogeneity in aesthetic processing rather than mere noise. These findings speak to a broader question, how the brain marks the intensity of conscious experience, and, more specifically, support the hypothesis that being intensely moved constitutes a qualitatively distinct neural state, characterised by specific configurations of oscillatory dynamics and cortical excitability that modulate the transition from low and moderate to peak engagement.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- On the neuronal dynamics of aesthetic experience: Evidence from electroencephalographic oscillatory dynamics
Wim Strijbosch, Edward A. Vessel, … MARCEL C.M. BASTIAANSEN·Journal of Cognitive NeurosciencePeer-reviewed·Jan 11, 2022
- Predicting the subjective intensity of imagined sensory experiences from electrophysiological measures of oscillatory brain activity.
Derek Henry Arnold, Blake William Saurels, … Dietrich Samuel Schwarzkopf·Scientific ReportsPeer-reviewed·Jan 8, 2024
- Characterizing dynamic neural representations of scene attractiveness
DANIEL H. KAISER·Journal of Cognitive NeurosciencePeer-reviewed·Jan 1, 2022
- Early EEG responses indicate liking for artworks presented in rapid visual streams
Sanjeev Nara, Vaishali Goyal, … DANIEL H. KAISER·bioRxiv·Sep 29, 2026
- A Shared Neural Network for Highly Liked and Disliked Music
Pablo Ripollés, Amy M. Belfi, … David Poeppel·bioRxiv·Jan 20, 2025
- Brain state dynamics reflect emotion transitions induced by music
Matthew E. Sachs, Kevin N. Ochsner, Christopher A. Baldassano·bioRxiv·Mar 1, 2023