Cross-Task Contributions of Frontobasal Ganglia Circuitry in Response Inhibition and Conflict-Induced Slowing

Sara Jahfari, K. Richard Ridderinkhof, Anne G.E. Collins, Tomas Knapen, Lourens J. Waldorp, Michael J. Frank

Research output: Contribution to JournalArticleAcademicpeer-review


Why are we so slow in choosing the lesser of 2 evils? We considered whether such slowing relates to uncertainty about the value of these options, which arises from the tendency to avoid them during learning, and whether such slowing relates to frontosubthalamic inhibitory control mechanisms. In total, 49 participants performed a reinforcement-learning task and a stop-signal task while fMRI was recorded. A reinforcement-learning model was used to quantify learning strategies. Individual differences in lose-lose slowing related to information uncertainty due to sampling, and independently, to less efficient response inhibition in the stop-signal task. Neuroimaging analysis revealed an analogous dissociation: subthalamic nucleus (STN) BOLD activity related to variability in stopping latencies, whereas weaker frontosubthalamic connectivity related to slowing and information sampling. Across tasks, fast inhibitors increased STN activity for successfully canceled responses in the stop task, but decreased activity for lose-lose choices. These data support the notion that fronto-STN communication implements a rapid but transient brake on response execution, and that slowing due to decision uncertainty could result from an inefficient release of this "hold your horses" mechanism.

Original languageEnglish
Article numberbhy076
Pages (from-to)1969-1983
Number of pages15
JournalCerebral cortex (New York, N.Y. : 1991)
Issue number5
Publication statusPublished - 1 May 2019


  • basal ganglia systems
  • Bayesian hierarchical modeling
  • fMRI effective and functional connectivity
  • reinforcement learning
  • response inhibition


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