557
Views
9
CrossRef citations to date
0
Altmetric
Original Articles

Mid-frontal EEG alpha asymmetries predict individual differences in one aspect of theory of mind: Mental state decoding

&
Pages 299-308 | Published online: 24 Feb 2007
 

Abstract

Mental state decoding is the aspect of theory-of-mind (ToM) reasoning that requires individuals to make judgments about others’ mental states based solely on immediately available information. We investigated whether individual differences in resting, task-independent frontal EEG alpha asymmetries predicted performance on the “Mind in the Eyes” (MIE) task, which is an established measure of mental state decoding skills. Group analyses showed that mental state decoding skills were stronger among those with right-lateralized frontal activation. Individual differences analyses showed that the degree of relative right mid-frontal activation predicted performance on the task. These findings establish a neural correlate of individual differences in one aspect of ToM, and hypotheses about the precise mechanism involved are discussed.

Acknowledgments

This research was supported by a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada (NSERC) to MAS, and by an NSERC Student Fellowship to JF.

We thank Carly Lang for her help with data reduction and analysis, Valerie Kuhlmeier and Kate Harkness for helpful comments on previous versions of the manuscript, and Simon Baron-Cohen for generously providing us with stimulus materials.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 169.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.