The representational structure of mental states generalizes across target people and stimulus modalities
Autor: | Mark Thornton, Miriam E. Weaverdyck, Diana I. Tamir |
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Rok vydání: | 2021 |
Předmět: |
Adult
Male Social Cognition Adolescent Cognitive Neuroscience media_common.quotation_subject Emotions Theory of Mind Neurosciences. Biological psychiatry. Neuropsychiatry Anger Article 050105 experimental psychology Young Adult 03 medical and health sciences 0302 clinical medicine Social cognition Reading (process) Image Processing Computer-Assisted medicine Humans Representational similarity analysis 0501 psychology and cognitive sciences media_common Modalities Self fMRI 05 social sciences Brain Mentalizing Magnetic Resonance Imaging Variety (cybernetics) Neurology Mentalization Anxiety Female medicine.symptom Psychology 030217 neurology & neurosurgery RC321-571 Cognitive psychology |
Zdroj: | NeuroImage NeuroImage, Vol 238, Iss, Pp 118258-(2021) |
ISSN: | 1053-8119 |
DOI: | 10.1016/j.neuroimage.2021.118258 |
Popis: | Each individual experiences mental states in their own idiosyncratic way, yet perceivers can accurately understand a huge variety of states across unique individuals. How do they accomplish this feat? Do people think about their own anger in the same ways as another person's anger? Is reading about someone's anxiety the same as seeing it? Here, we test the hypothesis that a common conceptual core unites mental state representations across contexts. Across three studies, participants judged the mental states of multiple targets, including a generic other, the self, a socially close other, and a socially distant other. Participants viewed mental state stimuli in multiple modalities, including written scenarios and images. Using representational similarity analysis, we found that brain regions associated with social cognition expressed stable neural representations of mental states across both targets and modalities. Together, these results suggest that people use stable models of mental states across different people and contexts. |
Databáze: | OpenAIRE |
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