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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Published on: March 2, 2015

Running on empty: neural signals for self-control failure.

Michael Inzlicht1, Jennifer N Gutsell

  • 1Department of Psychology, University of Toronto Scarborough, Toronto, Ontario, Canada. michael.inzlicht@utoronto.ca

Psychological Science
|October 26, 2007
PubMed
Summary

Effortful self-control depletes neural resources for conflict monitoring. This leads to impaired performance on subsequent tasks, as seen in weaker error-related negativity (ERN) signals.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Social Neuroscience

Background:

  • Self-control is a finite resource that can be depleted by exertion.
  • Previous research suggests that initial efforts in self-regulation can impair subsequent control.

Purpose of the Study:

  • To investigate the neural mechanisms behind self-control failure.
  • To determine if effortful emotion regulation depletes neural systems responsible for conflict monitoring.

Main Methods:

  • Participants watched an emotional movie, either normally or while suppressing emotions.
  • Following the movie, participants completed a Stroop task while electroencephalography (EEG) was recorded.
  • The error-related negativity (ERN), linked to the anterior cingulate cortex, was measured.

Main Results:

  • Individuals who suppressed emotions performed worse on the Stroop task compared to controls.
  • This performance deficit was associated with diminished ERN signals.
  • Weaker ERN indicates that prior regulatory effort constrained the conflict-monitoring system.

Conclusions:

  • The findings provide a neural basis for the self-regulatory-strength model.
  • This study highlights the impact of emotion regulation on cognitive control.
  • The results underscore the value of social neuroscience in understanding self-control.