Your brain stores enough information to recognise hundreds of people. How does it access it?

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When remembering a friend and how they fit into a social network, the human brain follows a similar path to mapping objects in a room, according to an Israeli study. Researchers used Facebook to map the social networks of 18 participants, then monitored their brain activity as they were asked to think about individuals in their social network. They found when participants thought about a social connection, it triggered "unique" brain activity in a region usually reserved for spatial thinking.

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From: Society for Neuroscience

How the Brain Encodes Social Network Structure

Regions involved in processing spatial information also store structure of social networks

The brain encodes information about our relationships and the relationships between our friends using areas involved in spatial processing, according to new research published in JNeurosci.

Humans maintain hundreds of social relationships, requiring the brain to catalogue countless details about each person and their connections to other people. But it is not known how exactly the brain stores all of this information.

To uncover how the brain encodes social network structure, Peer et al. used Facebook data to map out participants’ social connections. Then the researchers measured their brain activity with fMRI as they thought about people from their network. Thinking about a connection generated a unique activity pattern in the retrosplenial complex, a brain region involved in processing spatial information. The “distance” between two people in the social network was reflected by the similarity between the activity patterns. Closer people — indicated by number of mutual friends — had similar activity patterns, while more distant people had dissimilar patterns. Information about each connection’s personality was encoded in the medial prefrontal cortex; people with similar personalities elicited similar activity patterns. These results indicate the brain separates different aspects of social knowledge into unique representations.

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conference:
eNeuro
Research:Paper
Organisation/s: Hebrew University of Jerusalem, Israel
Funder: This work was supported by the Israeli Science Foundation (Grant No. 1306/18). MP is supported by a Fulbright postdoctoral fellowship from the United States–Israel Educational Foundation, by a Zuckerman STEM Leadership Program fellowship, and by the Eva, Luis & Sergio Lamas Scholarship Fund.
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