Reconstruction of 1,000 Projection Neurons Reveals New Cell Types and Organization of Long-Range Connectivity in the Mouse Brain
Author(s) -
Johan Winnubst,
Erhan Bas,
Tiago Ferreira,
Zhuhao Wu,
Michael N. Economo,
Patrick Edson,
Benjamin Arthur,
Christopher M. Bruns,
Konrad Rokicki,
David Schauder,
Donald J. Olbris,
Sean D. Murphy,
David Ackerman,
Cameron Arshadi,
Perry Baldwin,
Regina Blake,
Ahmad Elsayed,
Mashtura Hasan,
Daniel Ramirez,
Bruno Dos Santos,
Monet Weldon,
Amina Zafar,
Joshua T. Dudman,
Charles R. Gerfen,
Adam W. Hantman,
Wyatt Korff,
Scott M. Sternson,
Nelson Spruston,
Karel Svoboda,
Jayaram Chandrashekar
Publication year - 2019
Publication title -
cell
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 26.304
H-Index - 776
eISSN - 1097-4172
pISSN - 0092-8674
DOI - 10.1016/j.cell.2019.07.042
Subject(s) - subiculum , neuroscience , biology , thalamus , projection (relational algebra) , biological neural network , nerve net , cell type , cerebral cortex , hippocampus , cell , computer science , dentate gyrus , genetics , algorithm
Neuronal cell types are the nodes of neural circuits that determine the flow of information within the brain. Neuronal morphology, especially the shape of the axonal arbor, provides an essential descriptor of cell type and reveals how individual neurons route their output across the brain. Despite the importance of morphology, few projection neurons in the mouse brain have been reconstructed in their entirety. Here we present a robust and efficient platform for imaging and reconstructing complete neuronal morphologies, including axonal arbors that span substantial portions of the brain. We used this platform to reconstruct more than 1,000 projection neurons in the motor cortex, thalamus, subiculum, and hypothalamus. Together, the reconstructed neurons constitute more than 85 meters of axonal length and are available in a searchable online database. Axonal shapes revealed previously unknown subtypes of projection neurons and suggest organizational principles of long-range connectivity.
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