Dynamic causal modelling of effective connectivity during perspective taking in a communicative task

Previous studies have shown that taking into account another person's perspective to guide decisions is more difficult when their perspective is incongruent from one's own compared to when it is congruent. Here we used dynamic causal modelling (DCM) for functional magnetic resonance imagin...

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Vydáno v:NeuroImage (Orlando, Fla.) Ročník 76; s. 116 - 124
Hlavní autoři: Hillebrandt, Hauke, Dumontheil, Iroise, Blakemore, Sarah-Jayne, Roiser, Jonathan P.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier Inc 01.08.2013
Elsevier
Elsevier Limited
Témata:
Adult
Bayes Theorem
Biological and medical sciences
Brain - physiology
Brain Mapping
Brain research
Dynamic causal modelling
Effective connectivity
Exhaustive modelling
Female
Fundamental and applied biological sciences. Psychology
Hierarchical predictive coding
Humans
Image Interpretation, Computer-Assisted
Magnetic Resonance Imaging
Male
Models, Neurological
Neural Pathways - physiology
Perspective taking
Social brain
Theory of mind
Theory of Mind - physiology
Values
Vertebrates: nervous system and sense organs
Young Adult
Social brain
Hierarchical predictive coding
Perspective taking
Theory of mind
Exhaustive modelling
Dynamic causal modelling
Effective connectivity
Central nervous system
Encephalon
ISSN:1053-8119, 1095-9572, 1095-9572
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Shrnutí:Previous studies have shown that taking into account another person's perspective to guide decisions is more difficult when their perspective is incongruent from one's own compared to when it is congruent. Here we used dynamic causal modelling (DCM) for functional magnetic resonance imaging (fMRI) to investigate effective connectivity between prefrontal and posterior brain regions in a task that requires participants to take into account another person's perspective in order to guide the selection of an action. Using a new procedure to score model evidence without computationally costly estimation, we conducted an exhaustive search for the best of all possible models. The results elucidate how the activity in the areas from our previously reported analysis (Dumontheil et al., 2010) are causally linked and how the connections are modulated by both the social as well as executive task demands of the task. We find that the social demands modulate the backward connections from the medial prefrontal cortex (MPFC) more strongly than the forward connections from the superior occipital gyrus (SOG) and the medial temporal gyrus (MTG) to the MPFC. This was also the case for the backward connection from the MTG to the SOG. Conversely, the executive task demands modulated the forward connections of the SOG and the MTG to the MPFC more strongly than the backward connections. We interpret the results in terms of hierarchical predictive coding. Effective connectivity analysis shows that backward and lateral connections are modulated more strongly by social task demands (A); whereas forward connections are modulated more strongly by executive task demands (B). [Display omitted] •We investigated effective connectivity with dynamic causal modelling for fMRI.•We used a new exhaustive search procedure to find the best of all possible models.•Social demands modulate the backward and lateral connections most strongly.•Conversely, executive task demands modulated the forward connections most strongly.•We interpret the results in terms of Bayesian hierarchical predictive coding.
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ISSN:1053-8119
1095-9572
1095-9572
DOI:10.1016/j.neuroimage.2013.02.072