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BDNF signaling in correlation-dependent structural plasticity in the developing visual system.

Elena Kutsarova1,2, Anne Schohl1, Martin Munz1,3,4

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|April 3, 2023
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Summary
This summary is machine-generated.

Neural activity patterns guide axon development. Brain-derived neurotrophic factor (BDNF) signaling is crucial for both synapse stabilization (Hebbian plasticity) and growth in response to uncorrelated inputs (Stentian plasticity).

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Area of Science:

  • Neuroscience
  • Developmental Biology
  • Cell Biology

Background:

  • Topographic map refinement during development is instructed by patterned neural activity.
  • Axon development involves Hebbian structural plasticity (activity-dependent synapse stabilization) and Stentian structural plasticity (activity-independent growth).

Purpose of the Study:

  • To investigate the role of brain-derived neurotrophic factor (BDNF) signaling in Hebbian and Stentian structural plasticity.
  • To elucidate the specific roles of presynaptic and postsynaptic BDNF signaling pathways in axon refinement.

Main Methods:

  • Utilized visual stimulation to control neural activity correlation in retinal ganglion cell (RGC) axons in Xenopus laevis tadpoles.
  • Employed multiphoton live imaging to observe ipsilateral (ipsi) axon development.
  • Disrupted brain-derived neurotrophic factor (BDNF) signaling pathways, including p75NTR and TrkB receptors.

Main Results:

  • Presynaptic p75NTR and TrkB are essential for Stentian axonal branch addition.
  • Postsynaptic BDNF signaling is necessary for Hebbian axon stabilization.
  • BDNF signaling suppresses local branch elimination in response to correlated neural activity.
  • p75NTR knockdown reduced contralateral RGC axon branch elongation and arbor field volume.

Conclusions:

  • BDNF signaling differentially regulates Hebbian and Stentian structural plasticity in developing axons.
  • Both presynaptic and postsynaptic BDNF pathways are critical for activity-dependent axon refinement.
  • Targeted manipulation of BDNF signaling offers insights into neural circuit formation.