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Combinatorial quantification of distinct neural projections from retrograde tracing

Author

Listed:
  • Siva Venkadesh

    (George Mason University
    George Mason University)

  • Anthony Santarelli

    (University of California Los Angeles)

  • Tyler Boesen

    (University of California Los Angeles)

  • Hong-Wei Dong

    (University of California Los Angeles)

  • Giorgio A. Ascoli

    (George Mason University
    George Mason University)

Abstract

Comprehensive quantification of neuronal architectures underlying anatomical brain connectivity remains challenging. We introduce a method to identify distinct axonal projection patterns from a source to a set of target regions and the count of neurons with each pattern. A source region projecting to n targets could have 2n-1 theoretically possible projection types, although only a subset of these types typically exists. By injecting uniquely labeled retrograde tracers in k target regions (k

Suggested Citation

  • Siva Venkadesh & Anthony Santarelli & Tyler Boesen & Hong-Wei Dong & Giorgio A. Ascoli, 2023. "Combinatorial quantification of distinct neural projections from retrograde tracing," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-43124-2
    DOI: 10.1038/s41467-023-43124-2
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