Steady‐state visual evoked potential responses predict visual discomfort judgements. (9th November 2021)
- Record Type:
- Journal Article
- Title:
- Steady‐state visual evoked potential responses predict visual discomfort judgements. (9th November 2021)
- Main Title:
- Steady‐state visual evoked potential responses predict visual discomfort judgements
- Authors:
- O'Hare, Louise
Hird, Emily
Whybrow, Mercedes - Abstract:
- Abstract: It has been suggested that aesthetically pleasing stimuli are processed efficiently by the visual system, whereas uncomfortable stimuli are processed inefficiently. This study consists of a series of three experiments investigating this idea using a range of images of abstract artworks, photographs of natural scenes, and computer‐generated stimuli previously shown to be uncomfortable. Subjective judgements and neural correlates were measured using electroencephalogram (EEG) (steady‐state visual evoked potentials, SSVEPs). In addition, global image statistics (contrast, Fourier amplitude spectral slope and fractal dimension) were taken into account. When effects of physical image contrast were controlled, fractal dimension predicted discomfort judgements, suggesting the SSVEP response is more likely to be influenced by distribution of edges than the spectral slope. Importantly, when effects of physical contrast and fractal dimension were accounted for using linear mixed effects modelling, SSVEP responses predicted subjective judgements of images. Specifically, when stimuli were not matched for perceived contrast, there was a positive relationship between SSVEP responses and how pleasing a stimulus was judged to be, and conversely a negative relationship between discomfort and SSVEP response. This is significant as it shows that the neural responses in early visual areas contribute to the subjective (un)pleasantness of images, although the results of this study doAbstract: It has been suggested that aesthetically pleasing stimuli are processed efficiently by the visual system, whereas uncomfortable stimuli are processed inefficiently. This study consists of a series of three experiments investigating this idea using a range of images of abstract artworks, photographs of natural scenes, and computer‐generated stimuli previously shown to be uncomfortable. Subjective judgements and neural correlates were measured using electroencephalogram (EEG) (steady‐state visual evoked potentials, SSVEPs). In addition, global image statistics (contrast, Fourier amplitude spectral slope and fractal dimension) were taken into account. When effects of physical image contrast were controlled, fractal dimension predicted discomfort judgements, suggesting the SSVEP response is more likely to be influenced by distribution of edges than the spectral slope. Importantly, when effects of physical contrast and fractal dimension were accounted for using linear mixed effects modelling, SSVEP responses predicted subjective judgements of images. Specifically, when stimuli were not matched for perceived contrast, there was a positive relationship between SSVEP responses and how pleasing a stimulus was judged to be, and conversely a negative relationship between discomfort and SSVEP response. This is significant as it shows that the neural responses in early visual areas contribute to the subjective (un)pleasantness of images, although the results of this study do not provide clear support for the theory of efficient coding as the cause of perceived pleasantness or discomfort of images, and so other explanations need to be considered. Abstract : The visual system is thought to be optimised to process natural images efficiently. Abstract artworks may be aesthetically pleasing as they are more easily processed, conversely uncomfortable images may be less efficiently processed. When physical contrast is controlled for, fractal dimension and steady‐state visual evoked potentials predict discomfort and aesthetic judgements of abstract artworks, natural and uncomfortable images, although the relationship is not as clear as efficient coding theories suggest. … (more)
- Is Part Of:
- European journal of neuroscience. Volume 54:Number 10(2021)
- Journal:
- European journal of neuroscience
- Issue:
- Volume 54:Number 10(2021)
- Issue Display:
- Volume 54, Issue 10 (2021)
- Year:
- 2021
- Volume:
- 54
- Issue:
- 10
- Issue Sort Value:
- 2021-0054-0010-0000
- Page Start:
- 7575
- Page End:
- 7598
- Publication Date:
- 2021-11-09
- Subjects:
- artworks -- EEG -- fractal dimension -- natural images -- spectral slope
Nervous system -- Periodicals
612.8 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1460-9568 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/ejn.15492 ↗
- Languages:
- English
- ISSNs:
- 0953-816X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3829.731700
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 27134.xml