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Effective cerebello–cerebral connectivity during implicit and explicit social belief sequence learning using dynamic causal modeling

Qianying Ma, Min Pu, Naem Haihambo, Kris Baetens, Elien Heleven, Natacha Deroost, Chris Baeken (UGent) and Frank Van Overwalle
(2022) SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE.
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Abstract
To study social sequence learning, earlier functional magnetic resonance imaging (fMRI) studies investigated the neural correlates of a novel Belief Serial Reaction Time task in which participants learned sequences of beliefs held by protagonists. The results demonstrated the involvement of the mentalizing network in the posterior cerebellum and cerebral areas (e.g. temporoparietal junction, precuneus and temporal pole) during implicit and explicit social sequence learning. However, little is known about the neural functional interaction between these areas during this task. Dynamic causal modeling analyses for both implicit and explicit belief sequence learning revealed that the posterior cerebellar Crus I & II were effectively connected to cerebral mentalizing areas, especially the bilateral temporoparietal junction, via closed loops (i.e. bidirectional functional connections that initiate and terminate at the same cerebellar and cerebral areas). There were more closed loops during implicit than explicit learning, which may indicate that the posterior cerebellum may be more involved in implicitly learning sequential social information. Our analysis supports the general view that the posterior cerebellum receives incoming signals from critical mentalizing areas in the cerebrum to identify sequences of social actions and then sends signals back to the same cortical mentalizing areas to better prepare for others' social actions and one's responses to it.
Keywords
Cognitive Neuroscience, Experimental and Cognitive Psychology, General Medicine, false belief, social cognition, dynamic causal modeling, serial reaction time task, cerebellum

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MLA
Ma, Qianying, et al. “Effective Cerebello–Cerebral Connectivity during Implicit and Explicit Social Belief Sequence Learning Using Dynamic Causal Modeling.” SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, Oxford Academic, 2022, doi:10.1093/scan/nsac044.
APA
Ma, Q., Pu, M., Haihambo, N., Baetens, K., Heleven, E., Deroost, N., … Van Overwalle, F. (2022). Effective cerebello–cerebral connectivity during implicit and explicit social belief sequence learning using dynamic causal modeling. SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE. https://doi.org/10.1093/scan/nsac044
Chicago author-date
Ma, Qianying, Min Pu, Naem Haihambo, Kris Baetens, Elien Heleven, Natacha Deroost, Chris Baeken, and Frank Van Overwalle. 2022. “Effective Cerebello–Cerebral Connectivity during Implicit and Explicit Social Belief Sequence Learning Using Dynamic Causal Modeling.” SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE. https://doi.org/10.1093/scan/nsac044.
Chicago author-date (all authors)
Ma, Qianying, Min Pu, Naem Haihambo, Kris Baetens, Elien Heleven, Natacha Deroost, Chris Baeken, and Frank Van Overwalle. 2022. “Effective Cerebello–Cerebral Connectivity during Implicit and Explicit Social Belief Sequence Learning Using Dynamic Causal Modeling.” SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE. doi:10.1093/scan/nsac044.
Vancouver
1.
Ma Q, Pu M, Haihambo N, Baetens K, Heleven E, Deroost N, et al. Effective cerebello–cerebral connectivity during implicit and explicit social belief sequence learning using dynamic causal modeling. SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE. 2022;
IEEE
[1]
Q. Ma et al., “Effective cerebello–cerebral connectivity during implicit and explicit social belief sequence learning using dynamic causal modeling,” SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, 2022.
@article{8770205,
  abstract     = {{To study social sequence learning, earlier functional magnetic resonance imaging (fMRI) studies investigated the neural correlates of a novel Belief Serial Reaction Time task in which participants learned sequences of beliefs held by protagonists. The results demonstrated the involvement of the mentalizing network in the posterior cerebellum and cerebral areas (e.g. temporoparietal junction, precuneus and temporal pole) during implicit and explicit social sequence learning. However, little is known about the neural functional interaction between these areas during this task. Dynamic causal modeling analyses for both implicit and explicit belief sequence learning revealed that the posterior cerebellar Crus I & II were effectively connected to cerebral mentalizing areas, especially the bilateral temporoparietal junction, via closed loops (i.e. bidirectional functional connections that initiate and terminate at the same cerebellar and cerebral areas). There were more closed loops during implicit than explicit learning, which may indicate that the posterior cerebellum may be more involved in implicitly learning sequential social information. Our analysis supports the general view that the posterior cerebellum receives incoming signals from critical mentalizing areas in the cerebrum to identify sequences of social actions and then sends signals back to the same cortical mentalizing areas to better prepare for others' social actions and one's responses to it.}},
  author       = {{Ma, Qianying and Pu, Min and Haihambo, Naem and Baetens, Kris and Heleven, Elien and Deroost, Natacha and Baeken, Chris and Van Overwalle, Frank}},
  issn         = {{1749-5016}},
  journal      = {{SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE}},
  keywords     = {{Cognitive Neuroscience,Experimental and Cognitive Psychology,General Medicine,false belief,social cognition,dynamic causal modeling,serial reaction time task,cerebellum}},
  language     = {{eng}},
  pages        = {{15}},
  publisher    = {{Oxford Academic}},
  title        = {{Effective cerebello–cerebral connectivity during implicit and explicit social belief sequence learning using dynamic causal modeling}},
  url          = {{http://doi.org/10.1093/scan/nsac044}},
  year         = {{2022}},
}
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