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Quantitative neuroanatomy for connectomics in Drosophila

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Schneider_Mizell_2016_eLife_Neuroanatomy_CC.pdf (5.898Mb)
Date
30/09/2016
Author
Schneider-Mizell, Casey
Gerhard, Stephan
Longair, Mark
Kazimiers, Tom
Li, Feng
Zwart, Maarten F.
Champion, Andrew
Midgley, Frank
Fetter, Rick
Saalfeld, Stephan
Cardona, Albert
Keywords
QH301 Biology
RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
DAS
BDC
R2C
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Abstract
Neuronal circuit mapping using electron microscopy demands laborious proofreading or reconciliation of multiple independent reconstructions. Here, we describe new methods to apply quantitative arbor and network context to iteratively proofread and reconstruct circuits and create anatomically enriched wiring diagrams. We measured the morphological underpinnings of connectivity in new and existing reconstructions of Drosophila sensorimotor (larva) and visual (adult) systems. Synaptic inputs were preferentially located on numerous small, microtubule-free 'twigs' which branch off a single microtubule-containing 'backbone'. Omission of individual twigs accounted for 96% of errors. However, the synapses of highly connected neurons were distributed across multiple twigs. Thus, the robustness of a strong connection to detailed twig anatomy was associated with robustness to reconstruction error. By comparing iterative reconstruction to the consensus of multiple reconstructions, we show that our method overcomes the need for redundant effort through the discovery and application of relationships between cellular neuroanatomy and synaptic connectivity.
Citation
Schneider-Mizell , C , Gerhard , S , Longair , M , Kazimiers , T , Li , F , Zwart , M F , Champion , A , Midgley , F , Fetter , R , Saalfeld , S & Cardona , A 2016 , ' Quantitative neuroanatomy for connectomics in Drosophila ' , eLife , vol. 5 , e12059 . https://doi.org/10.7554/elife.12059
Publication
eLife
Status
Peer reviewed
DOI
https://doi.org/10.7554/elife.12059
ISSN
2050-084X
Type
Journal article
Rights
© 2016, Schneider-Mizell et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/12476

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