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

Nat Commun. 2013:4:1373. doi: 10.1038/ncomms2374.

Abstract

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 life span. Self-control, first studied in children at age 4 years, is now re-examined 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 versus high delayers). We find that low delayers recruit significantly higher-dimensional neural networks when performing the task compared with high delayers. High delayers are also more homogeneous as a group in their neural patterns compared with 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.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Adult
  • Brain / physiology*
  • Brain Mapping
  • Child, Preschool
  • Discriminant Analysis
  • Female
  • Humans
  • Impulsive Behavior
  • Individuality*
  • Inhibition, Psychological*
  • Magnetic Resonance Imaging
  • Male
  • Memory, Short-Term / physiology
  • Nerve Net / physiology*
  • Principal Component Analysis
  • Reaction Time / physiology
  • Task Performance and Analysis
  • Young Adult