Identifying content-invariant neural signatures of perceptual vividness

Author:

Barnett Benjy12ORCID,Andersen Lau M345ORCID,Fleming Stephen M126ORCID,Dijkstra Nadine1

Affiliation:

1. Wellcome Centre for Human Neuroimaging, University College London , London WC1N 3AR , UK

2. Department of Experimental Psychology, University College London , London WC1H 0AP , UK

3. Aarhus Institute of Advanced Studies , 8000 Aarhus C , Denmark

4. Center of Functionally Integrative Neuroscience , 8000 Aarhus C , Denmark

5. Department for Linguistics, Cognitive Science and Semiotics, Aarhus University , 8000 Aarhus C , Denmark

6. Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London , London WC1B 5EH , UK

Abstract

Abstract Some conscious experiences are more vivid than others. Although perceptual vividness is a key component of human consciousness, how variation in this magnitude property is registered by the human brain is unknown. A striking feature of neural codes for magnitude in other psychological domains, such as number or reward, is that the magnitude property is represented independently of its sensory features. To test whether perceptual vividness also covaries with neural codes that are invariant to sensory content, we reanalyzed existing magnetoencephalography and functional MRI data from two distinct studies which quantified perceptual vividness via subjective ratings of awareness and visibility. Using representational similarity and decoding analyses, we find evidence for content-invariant neural signatures of perceptual vividness distributed across visual, parietal, and frontal cortices. Our findings indicate that the neural correlates of subjective vividness may share similar properties to magnitude codes in other cognitive domains.

Funder

Leverhulme Trust Doctoral Training

Lundbeck Foundation

Wellcome/Royal Society Sir Henry Dale Fellowship

Royal Society Sir Henry Dale Fellowship

Leverhulme Trust

Netherlands Organization for Scientific Research

European Union Horizon 2020 program

Publisher

Oxford University Press (OUP)

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