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Dimensionality of brain networks linked to life-long individual differences in self-control

The ability to delay gratification in childhood has been linked to positive outcomes in adolescence and adulthood. Here we examine a subsample of participants from a seminal longitudinal study of self-control throughout a subject’s lifespan. Self control, first studied in children at age 4, is now r...

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Detalles Bibliográficos
Autores principales: Berman, Marc G., Yourganov, Grigori, Askren, Mary K., Ayduk, Ozlem, Casey, B.J., Gotlib, Ian H., Kross, Ethan, McIntosh, Anthony R., Strother, Stephen, Wilson, Nicole L., Zayas, Vivian, Mischel, Walter, Shoda, Yuichi, Jonides, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3555568/
https://www.ncbi.nlm.nih.gov/pubmed/23340413
http://dx.doi.org/10.1038/ncomms2374
Descripción
Sumario:The ability to delay gratification in childhood has been linked to positive outcomes in adolescence and adulthood. Here we examine a subsample of participants from a seminal longitudinal study of self-control throughout a subject’s lifespan. Self control, first studied in children at age 4, is now reexamined 40 years later, on a task that required control over the contents of working memory. We examine whether patterns of brain activation on this task can reliably distinguish participants with consistently low and high self-control abilities (low vs. high delayers). We find that low delayers recruit significantly higher-dimensional neural networks when performing the task compared to high delayers. High delayers are also more homogeneous as a group in their neural patterns compared to low delayers. From these brain patterns we can predict with 71% accuracy, whether a participant is a high or low delayer. The present results suggest that dimensionality of neural networks is a biological predictor of self-control abilities.