The relationship between attention networks and individual differences in visual mental imagery vividness - An EEG study.

Neuropsychologia

Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, China; School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, China; Plateau Brain Science Research Center, Tibet University/South China Normal University, Lhasa 850000, Guangzhou, 510631, China. Electronic address:

Published: December 2023

AI Article Synopsis

  • Previous research suggests a strong connection between attention and visual mental imagery, but the role of attention networks in individual differences in imagery vividness is still unclear.
  • The study involved 140 participants, evaluating their imagery vividness using the Vividness of Visual Imagery Questionnaire under both eyes-open and eyes-closed conditions, while measuring attention networks through the Attention Network Test and EEG recordings.
  • The results showed that greater efficiency in the alerting attention network was positively linked to more vivid visual imagery, highlighting its importance in understanding individual differences in imagery experiences.

Article Abstract

Previous research has established a strong link between attention and visual mental imagery, but it's remained uncertain whether attention networks influence individual differences in the vividness of visual mental imagery. In our study, we examined 140 participants, assessing the vividness of imagery using the Vividness of Visual Imagery Questionnaire in both eyes-open and eyes-closed conditions. We employed the Attention Network Test, coupled with EEG recording, to characterize three attention sub-networks: alerting, orienting, and executive control. To pinpoint the specific attentional networks associated with the vividness of visual mental imagery, we utilized latent profile analysis to categorize participants into distinct subgroups. Additionally, we constructed a regression mixture model to explore how attention networks predict different latent categories of visual imagery vividness. Our findings revealed that the efficiency of the alerting network, as indicated by the N1 component, demonstrated a positive correlation with the vividness of visual imagery. This electrophysiological evidence underscores the role of the alerting network in shaping individual differences in the vividness of visual mental imagery.

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Source
http://dx.doi.org/10.1016/j.neuropsychologia.2023.108736DOI Listing

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