Neurophysiological indicators of internal attention: An electroencephalography-eye-tracking coregistration study

Brain Behav. 2020 Oct;10(10):e01790. doi: 10.1002/brb3.1790. Epub 2020 Aug 20.

Abstract

Introduction: Many goal-directed and spontaneous everyday activities (e.g., planning, mind wandering) rely on an internal focus of attention. Internally directed cognition (IDC) was shown to differ from externally directed cognition in a range of neurophysiological indicators such as electroencephalogram (EEG) alpha activity and eye behavior.

Methods: In this EEG-eye-tracking coregistration study, we investigated effects of attention direction on EEG alpha activity and various relevant eye parameters. We used an established paradigm to manipulate internal attention demands in the visual domain within tasks by means of conditional stimulus masking.

Results: Consistent with previous research, IDC involved relatively higher EEG alpha activity (lower alpha desynchronization) at posterior cortical sites. Moreover, IDC was characterized by greater pupil diameter (PD), fewer microsaccades, fixations, and saccades. These findings show that internal versus external cognition is associated with robust differences in several indicators at the neural and perceptual level. In a second line of analysis, we explored the intrinsic temporal covariation between EEG alpha activity and eye parameters during rest. This analysis revealed a positive correlation of EEG alpha power with PD especially in bilateral parieto-occipital regions.

Conclusion: Together, these findings suggest that EEG alpha activity and PD represent time-sensitive indicators of internal attention demands, which may be involved in a neurophysiological gating mechanism serving to shield internal cognition from irrelevant sensory information.

Keywords: divergent thinking; electroencephalography; eye tracking; internal attention.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Attention*
  • Cognition
  • Electroencephalography
  • Eye-Tracking Technology*
  • Neurophysiology