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Brain Connections Drive The Decision To Punish Others

by Karishma Abhishek on Aug 13 2021 5:05 PM

Punishing others for unfair behavior is associated with functional brain connections; the stronger the connections, the lesser are the chance to punish someone.

Brain Connections Drive The Decision To Punish Others
Punishing others for unfair behavior is associated with functional brain connections; the stronger the connections, the lesser are the chance to punish someone as per a study ‘Wired to punish? Electroencephalographic study of the resting-state neuronal oscillations underlying third-party punishment’ at the National Research University Higher School of Economics, published in the journal Neuroscience.
The study team conducted a neuroimaging experiment using electroencephalography (EEG for recording brain activity) to study the networks of various brain structures involved in punishment decision-making.

The key areas that were found to be involved are the dorsolateral prefrontal cortex (DLPFC) and temporoparietal junction (TPJ).

Brain Connections and Punishment Areas

Among these areas, the team reports that TPJ evaluates the level of guilt and deliberateness of the violation, while the DLPFC receives this signal on guilt assessment and transforms it into a specific decision on punishment.

Hence interactions between these regions are important for deciding on punishment. And the team speculates that the initial connectivity between these areas in a specific human brain impacts a person’s readiness to impose punishment.

A stronger connectivity between these two areas resulted in a lower level of punishment. It was also found that the functional condition of TPJ in a resting state impacts a person’s readiness to punish others for injustice.

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It is assumed that a more ‘sensitive’ TPJ means that unfair behavior causes a stronger guilt evaluation signal, which is followed by a stricter decision on punishment. However, the team reports that further studies may be required to validate this hypothesis.

Source-Medindia


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