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  A cellular-resolution atlas of the larval zebrafish brain

Kunst, M., Laurell, E., Mokayes, N., Kramer, A., Kubo, F., Fernandes, A. M., et al. (2019). A cellular-resolution atlas of the larval zebrafish brain. Neuron, 103(1), 21-38.e5. doi:10.1016/j.neuron.2019.04.034.

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 Creators:
Kunst, Michael1, Author           
Laurell, Eva1, Author           
Mokayes, Nouwar1, Author           
Kramer, Anna1, Author           
Kubo, Fumi1, Author           
Fernandes, António M.1, Author           
Förster, Dominique1, Author           
Dal Maschio, Marco1, Author           
Baier, Herwig1, Author           
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1Department: Genes-Circuits-Behavior / Baier, MPI of Neurobiology, Max Planck Society, ou_1128545              

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Free keywords: ELECTRON-MICROSCOPY; GENETIC DISSECTION; NEURONS; IDENTIFICATION; CONNECTIVITY; ARCHITECTURE; TECTUM; FLOW; REPRESENTATIONS; ORGANIZATIONNeurosciences & Neurology;
 Abstract: Understanding brain-wide neuronal dynamics requires a detailed map of the underlying circuit architecture. We built an interactive cellular-resolution atlas of the zebrafish brain at 6 days post-fertilization (dpf) based on the reconstructions of over 2,000 individually GFP-labeled neurons. We clustered our dataset in "morphotypes,'' establishing a unique database of quantitatively described neuronal morphologies together with their spatial coordinates in vivo. Over 100 transgene expression patterns were imaged separately and co-registered with the single-neuron atlas. By annotating 72 non-overlapping brain regions, we generated from our dataset an inter-areal wiring diagram of the larval brain, which serves as ground truth for synapse-scale, electron microscopic reconstructions. Interrogating our atlas by "virtual tract tracing'' has already revealed previously unknown wiring principles in the tectum and the cerebellum. In conclusion, we present here an evolving computational resource and visualization tool, which will be essential to map function to structure in a vertebrate brain.

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Language(s): eng - English
 Dates: 2019-07-03
 Publication Status: Issued
 Pages: 23
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Degree: -

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Title: Neuron
Source Genre: Journal
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Publ. Info: Cambridge, Mass. : Cell Press
Pages: - Volume / Issue: 103 (1) Sequence Number: - Start / End Page: 21 - 38.e5 Identifier: ISSN: 0896-6273
CoNE: https://pure.mpg.de/cone/journals/resource/954925560565