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dc.contributor.authorSchneider-Mizell, Casey
dc.contributor.authorGerhard, Stephan
dc.contributor.authorLongair, Mark
dc.contributor.authorKazimiers, Tom
dc.contributor.authorLi, Feng
dc.contributor.authorZwart, Maarten F.
dc.contributor.authorChampion, Andrew
dc.contributor.authorMidgley, Frank
dc.contributor.authorFetter, Rick
dc.contributor.authorSaalfeld, Stephan
dc.contributor.authorCardona, Albert
dc.identifier.citationSchneider-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 .
dc.identifier.otherPURE: 252028660
dc.identifier.otherPURE UUID: 70346f8f-0626-48c7-9f43-e519447613d9
dc.identifier.otherScopus: 84962326108
dc.identifier.otherORCID: /0000-0002-5073-8631/work/52572482
dc.description.abstractNeuronal 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.
dc.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.en
dc.subjectQH301 Biologyen
dc.subjectRC0321 Neuroscience. Biological psychiatry. Neuropsychiatryen
dc.titleQuantitative neuroanatomy for connectomics in Drosophilaen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Psychology and Neuroscienceen
dc.description.statusPeer revieweden

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