Competition between feedback loops underlies normal and pathological dynamics in the basal ganglia

Arthur Leblois, Thomas Boraud, Wassilios Meissner, Hagai Bergman, David Hansel*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

254 Scopus citations


Experiments performed in normal animals suggest that the basal ganglia (BG) are crucial in motor program selection. BG are also involved in movement disorders. In particular, BG neuronal activity in parkinsonian animals and patients is more oscillatory and more synchronous than in normal individuals. We propose a new model for the function and dysfunction of the motor part of BG. We hypothesize that the striatum, the subthalamic nucleus, the internal pallidum (GPi), the thalamus, and the cortex are involved in closed feedback loops. The direct (cortex-striatum-GPi-thalamus-cortex) and the hyperdirect loops (cortex-subthalamic nucleus-GPi-thalamus-cortex), which have different polarities, play a key role in the model. We show that the competition between these two loops provides the BG-cortex system with the ability to perform motor program selection. Under the assumption that dopamine potentiates corticostriatal synaptic transmission, we demonstrate that, in our model, moderate dopamine depletion leads to a complete loss of action selection ability. High depletion can lead to synchronous oscillations. These modifications of the network dynamical state stem from an imbalance between the feedback in the direct and hyperdirect loops when dopamine is depleted. Our model predicts that the loss of selection ability occurs before the appearance of oscillations, suggesting that Parkinson's disease motor impairments are not directly related to abnormal oscillatory activity. Another major prediction of our model is that synchronous oscillations driven by the hyperdirect loop appear in BG after inactivation of the striatum.

Original languageAmerican English
Pages (from-to)3567-3583
Number of pages17
JournalJournal of Neuroscience
Issue number13
StatePublished - 29 Mar 2006


  • Action selection
  • Models
  • Neural network
  • Oscillations
  • Parkinson's disease
  • Synchrony


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