Brain wide representation of social knowledge.
Daniel Alcalá-LópezNing MeiPedro MargollesDavid SotoPublished in: Social cognitive and affective neuroscience (2024)
Understanding how the human brain maps different dimensions of social conceptualizations remains a key unresolved issue. We performed a functional MRI study in which participants were exposed to audio definitions of personality traits and asked to simulate experiences associated with the concepts. Half of the concepts were affective (e.g. empathetic) and the other half were non-affective (e.g. intelligent). Orthogonally, half of the concepts were highly likable (e.g. sincere) and half were socially undesirable (e.g. liar). Behaviourally, we observed that the dimension of social desirability reflected the participant's subjective ratings better than affect. FMRI decoding results showed that both social desirability and affect could be decoded in local patterns of activity through distributed brain regions including the superior temporal, inferior frontal, precuneus and key nodes of the default mode network in posterior/anterior cingulate and ventromedial prefrontal cortex. Decoding accuracy was better for social desirability than affect. A representational similarity analysis further demonstrated that a deep language model significantly predicted brain activity associated with the concepts in bilateral regions of superior and anterior temporal lobe. The results demonstrate a brain wide representation of social knowledge, involving default model network systems that support the multimodal simulation of social experience, with a further reliance on language related preprocessing.
Keyphrases
- resting state
- healthcare
- functional connectivity
- mental health
- prefrontal cortex
- white matter
- autism spectrum disorder
- bipolar disorder
- computed tomography
- squamous cell carcinoma
- physical activity
- radiation therapy
- depressive symptoms
- cerebral ischemia
- early stage
- lymph node
- subarachnoid hemorrhage
- sleep quality
- case report
- neural network