Tracking rivalry with neural rhythms: multivariate SSVEPs reveal perception during binocular rivalry.

A novel multivariate spatial filter called Rhythmic Entrainment Source Separation can extract steady-state visual evoked potentials from EEG data to quantify perceptual switch rates during binocular rivalry without requiring self-reports. This method may be valuable for studying consciousness in contexts where self-reports are problematic or impossible. The analyses also indicate that no-report conditions may affect attention deployment and thereby neural correlates, an important consideration for consciousness research.

Study at a glance

Abstract

The contents of awareness can substantially change without any modification to the external world. Such effects are exemplified in binocular rivalry, where a different stimulus is presented to each eye causing instability in perception. This phenomenon has made binocular rivalry a quintessential method for studying consciousness and the necessary neural correlates for awareness. However, to conduct research on binocular rivalry usually requires self-reports of changes in percept, which can produce confounds and exclude states and contexts where self-reports are undesirable or unreliable. Here, we use a novel multivariate spatial filter dubbed 'Rhythmic Entrainment Source Separation' to extract steady state visual evoked potentials from electroencephalography data. We show that this method can be used to quantify the perceptual switch-rate of participants during binocular rivalry and therefore may be valuable in experimental contexts where self-reports are methodologically problematic or impossible, particularly as an adjunct. Our analyses also reveal that 'no-report' conditions may affect the deployment of attention and thereby neural correlates, another important consideration for consciousness research.