Neural Mechanisms of Social Cognition and Interaction

Social cognition and interaction emerge from the coordinated activity of specialised neural systems that enable individuals to perceive, interpret and respond to the mental states of others. Core regions include the medial prefrontal cortex, which supports self-referential thought and perspective taking; the posterior superior temporal sulcus, which decodes biological motion and gaze direction; the temporoparietal junction, which underlies theory of mind; and limbic structures such as the amygdala, which appraise emotional salience. These nodes form dynamic large-scale networks, most notably the default mode network, which integrates self-related and social inferential processes, and the mentalizing network, which mediates inference about beliefs and intentions. Functional and structural connectivity among these regions varies with individual differences in social network size, empathy and susceptibility to psychiatric conditions. Advances in multivariate pattern analysis and causal connectivity modelling have revealed how neural signatures during social inference predict real-world social engagement and how age-related changes in amygdala circuitry shape social responsiveness. Understanding these mechanisms offers routes to targeted interventions for social dysfunction in neurodevelopmental and neuropsychiatric disorders, as well as informing the design of socially intelligent artificial agents.

Research from Nature Portfolio

Recent studies have shown that multivariate activation patterns in the right posterior superior temporal sulcus during social inference tasks predict the size of an individual’s real-world social network and correlate with autism symptom severity. These findings indicate that neural signatures of mental-state attribution generalise across neurotypical and autistic adults. Complementing this, investigations of intrinsic functional connectivity have linked individual differences in the sharing of self-related information to the strength of coupling between medial prefrontal regions and dorsolateral prefrontal and temporal pole areas. Together, these articles elucidate both evoked and resting-state network substrates that underpin social engagement and self-disclosure.

Neural Mechanisms of Social Cognition and Interaction publication trend

The graph below shows the total number of articles in neural mechanisms of social cognition and interaction across all publications each year (not limited to Nature Index journals).

Technical terms

Social inference: The cognitive process of deducing others’ beliefs, intentions or emotions from observable cues.

Default mode network (DMN): A set of interconnected brain regions active during rest, supporting self-referential thought and social cognition.

Functional connectivity: Statistical dependency between activity patterns in distinct brain areas, often measured by correlation of neural signals.

Posterior superior temporal sulcus (pSTS): A region in the temporal lobe involved in decoding biological motion, gaze and social actions.

Medial prefrontal cortex (mPFC): A frontal region implicated in self-related processing, theory of mind and evaluation of social information.

References

1. Neural signatures of social inferences predict the number of real-life social contacts and autism severity. Nature Communications (2023).
2. Default mode network dynamics: An integrated neurocircuitry perspective on social dysfunction in human brain disorders. Neuroscience & Biobehavioral Reviews (2024).
3. Sharing self-related information is associated with intrinsic functional connectivity of cortical midline brain regions. Scientific Reports (2016).
4. Functional brain network architecture supporting the learning of social networks in humans. NeuroImage (2020).
5. Causal Interactions in Human Amygdala Cortical Networks across the Lifespan. Scientific Reports (2019).