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Inhibitory top-down projections from zona incerta mediate neocortical memory.

Anna Schroeder1, M Belén Pardi2, Joram Keijser3

  • 1Institute for Physiology, Faculty of Medicine, University of Freiburg, 79108 Freiburg, Germany; Max Planck Institute for Brain Research, 60438 Frankfurt, Germany.

Neuron
|January 7, 2023
PubMed
Summary
This summary is machine-generated.

Researchers discovered inhibitory top-down brain circuits from the zona incerta to the neocortex. These circuits are crucial for learning and memory, showing distinct roles in information processing.

Keywords:
associative memorycircuit tracingdisinhibitionlayer 1long-range inhibitionneocortical circuitsplasticitysynaptic in vivo calcium imagingtop-down informationzona incerta

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Area of Science:

  • Neuroscience
  • Computational Neuroscience

Background:

  • Top-down projections influence sensory neocortex processing, integrating past experiences and current goals.
  • The role of inhibitory top-down pathways in the neocortex remains largely unexplored, contrasting with known excitatory pathways.

Purpose of the Study:

  • To identify and characterize inhibitory top-down projections to the neocortex.
  • To investigate the function and plasticity of these projections during learning and memory formation.

Main Methods:

  • Synaptic two-photon calcium imaging in mice.
  • Circuit mapping and chemogenetics.
  • Behavioral tasks assessing cortex-dependent learning.

Main Results:

  • Identified GABAergic afferents from the subthalamic zona incerta as a major source of top-down neocortical input.
  • Demonstrated robust plasticity of incertocortical transmission during learning, enhancing information transfer and mediating memory.
  • Revealed that incertocortical afferents form a disinhibitory circuit encoding learned relevance bidirectionally, with negative responses driving stimulus representation changes.

Conclusions:

  • Long-range inhibitory projections from the zona incerta play a distinctive role in neocortical computation.
  • These disinhibitory circuits contribute significantly to the brain's computational flexibility and adaptive learning processes.