The neural correlates of feature-based selective attention when viewing spatially and temporally overlapping images

Jun Wang, Brett A. Clementz, Andreas Keil

Research output: Contribution to journalArticlepeer-review

39 Scopus citations

Abstract

We used dense-array EEG to study the neural correlates of selective attention to specific features of objects that spatially overlapped an unattended image. Participants viewed superimposed images (horizontal and vertical bars differing in color) and attended to one image to identify bar width changes in specific locations. Images were frequency tagged so attention directed to unique parts of the stimuli could be tracked. Steady-state visual evoked potentials were used to quantify attention-related neural activity. As expected, selectively attending to specific parts of the attended image enhanced brain activity related to the attended element, and left unchanged activity elicited by spatially overlapping unattended stimuli. Under specific conditions, however, we found increased activity to unattended stimuli. The specificity of the selective attention effects presented herein, however, may be limited under certain complex stimulus conditions.

Original languageEnglish (US)
Pages (from-to)1393-1399
Number of pages7
JournalNeuropsychologia
Volume45
Issue number7
DOIs
StatePublished - 2007

Keywords

  • Attention
  • EEG
  • Feature
  • Object
  • Visual steady-state

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Cognitive Neuroscience
  • Behavioral Neuroscience

Fingerprint

Dive into the research topics of 'The neural correlates of feature-based selective attention when viewing spatially and temporally overlapping images'. Together they form a unique fingerprint.

Cite this