Combinatorial quantification of distinct neural projections from retrograde tracing

Siva Venkadesh, Anthony Santarelli, Tyler Boesen, Hong-Wei Dong and Giorgio A. Ascoli ()
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Siva Venkadesh: 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

Nature Communications, 2023, vol. 14, issue 1, 1-10

Abstract: 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

Date: 2023
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DOI: 10.1038/s41467-023-43124-2

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