Frontiers in Neuroscience (Aug 2024)

Human reasoning on social interactions in ecological contexts: insights from the theory of mind brain circuits

  • Sara Isernia,
  • Alice Pirastru,
  • Alice Pirastru,
  • Federica Rossetto,
  • Diego Michael Cacciatore,
  • Marta Cazzoli,
  • Valeria Blasi,
  • R. Asaad Baksh,
  • R. Asaad Baksh,
  • R. Asaad Baksh,
  • Sarah E. MacPherson,
  • Francesca Baglio

DOI
https://doi.org/10.3389/fnins.2024.1420122
Journal volume & issue
Vol. 18

Abstract

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IntroductionThe relationship between neural social cognition patterns and performance on social cognition tasks in daily life is a topic of debate, with key consideration given to the extent to which theory of mind (ToM) brain circuits share properties reflecting everyday social functioning. To test the efficacy of ecological stimuli in eliciting brain activation within the ToM brain circuits, we adapted the Edinburgh Social Cognition test social scenarios, consisting of dynamic ecological contextually embedded social stimuli, to a fMRI paradigm.MethodsForty-two adults (21 men, mean age ± SD = 34.19 years ±12.57) were enrolled and underwent an fMRI assessment which consisted of a ToM task using the Edinburgh Social Cognition test scenarios. We used the same stimuli to prompt implicit (movie viewing) and explicit (silent and two-choice answers) reasoning on cognitive and affective mental states. The fMRI analysis was based on the classical random effect analysis. Group inferences were complemented with supplemental analyses using overlap maps to assess inter-subject variability.ResultsWe found that explicit mentalizing reasoning yielded wide neural activations when two-choice answers were used. We also observed that the nature of ToM reasoning, that is, affective or cognitive, played a significant role in activating different neural circuits.DiscussionThe ESCoT stimuli were particularly effective in evoking ToM core neural underpinnings and elicited executive frontal loops. Future work may employ the task in a clinical setting to investigate ToM network reorganization and plasticity.

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