Medicine and Health

Aberrant neural computation of social controllability in nicotine-dependent humans

C. Mclaughlin, Q. X. Fu, et al.

This fascinating study by Caroline McLaughlin, Qi Xiu Fu, Soojung Na, Matthew Heflin, Dongil Chung, Vincenzo G. Fiore, and Xiaosi Gu uncovers the social controllability deficits in nicotine-dependent individuals. Using advanced fMRI techniques, the researchers highlight how smokers perceive less control and struggle with social influence, revealing crucial insights into addiction and social cognition.

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Abstract

This study investigated social controllability in nicotine-dependent individuals using fMRI. Computational modeling revealed smokers underestimated their influence and reported less control compared to non-smokers. Smokers showed reduced vmPFC tracking of projected choice values and impaired midbrain computation of social prediction errors, indicating deficits in estimating personal influence in social contexts.

Publisher

Communications Biology

Published On

Aug 14, 2024

Authors

Caroline McLaughlin, Qi Xiu Fu, Soojung Na, Matthew Heflin, Dongil Chung, Vincenzo G. Fiore, Xiaosi Gu

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