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A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain

Imaging the expression patterns of reporter constructs is a powerful tool to dissect the neuronal circuits of perception and behavior in the adult brain of Drosophila, one of the major models for studying brain functions. To date, several Drosophila brain templates and digital atlases have been buil...

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Autores principales: Arganda-Carreras, Ignacio, Manoliu, Tudor, Mazuras, Nicolas, Schulze, Florian, Iglesias, Juan E., Bühler, Katja, Jenett, Arnim, Rouyer, François, Andrey, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876320/
https://www.ncbi.nlm.nih.gov/pubmed/29628885
http://dx.doi.org/10.3389/fninf.2018.00013
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author Arganda-Carreras, Ignacio
Manoliu, Tudor
Mazuras, Nicolas
Schulze, Florian
Iglesias, Juan E.
Bühler, Katja
Jenett, Arnim
Rouyer, François
Andrey, Philippe
author_facet Arganda-Carreras, Ignacio
Manoliu, Tudor
Mazuras, Nicolas
Schulze, Florian
Iglesias, Juan E.
Bühler, Katja
Jenett, Arnim
Rouyer, François
Andrey, Philippe
author_sort Arganda-Carreras, Ignacio
collection PubMed
description Imaging the expression patterns of reporter constructs is a powerful tool to dissect the neuronal circuits of perception and behavior in the adult brain of Drosophila, one of the major models for studying brain functions. To date, several Drosophila brain templates and digital atlases have been built to automatically analyze and compare collections of expression pattern images. However, there has been no systematic comparison of performances between alternative atlasing strategies and registration algorithms. Here, we objectively evaluated the performance of different strategies for building adult Drosophila brain templates and atlases. In addition, we used state-of-the-art registration algorithms to generate a new group-wise inter-sex atlas. Our results highlight the benefit of statistical atlases over individual ones and show that the newly proposed inter-sex atlas outperformed existing solutions for automated registration and annotation of expression patterns. Over 3,000 images from the Janelia Farm FlyLight collection were registered using the proposed strategy. These registered expression patterns can be searched and compared with a new version of the BrainBaseWeb system and BrainGazer software. We illustrate the validity of our methodology and brain atlas with registration-based predictions of expression patterns in a subset of clock neurons. The described registration framework should benefit to brain studies in Drosophila and other insect species.
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spelling pubmed-58763202018-04-06 A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain Arganda-Carreras, Ignacio Manoliu, Tudor Mazuras, Nicolas Schulze, Florian Iglesias, Juan E. Bühler, Katja Jenett, Arnim Rouyer, François Andrey, Philippe Front Neuroinform Neuroscience Imaging the expression patterns of reporter constructs is a powerful tool to dissect the neuronal circuits of perception and behavior in the adult brain of Drosophila, one of the major models for studying brain functions. To date, several Drosophila brain templates and digital atlases have been built to automatically analyze and compare collections of expression pattern images. However, there has been no systematic comparison of performances between alternative atlasing strategies and registration algorithms. Here, we objectively evaluated the performance of different strategies for building adult Drosophila brain templates and atlases. In addition, we used state-of-the-art registration algorithms to generate a new group-wise inter-sex atlas. Our results highlight the benefit of statistical atlases over individual ones and show that the newly proposed inter-sex atlas outperformed existing solutions for automated registration and annotation of expression patterns. Over 3,000 images from the Janelia Farm FlyLight collection were registered using the proposed strategy. These registered expression patterns can be searched and compared with a new version of the BrainBaseWeb system and BrainGazer software. We illustrate the validity of our methodology and brain atlas with registration-based predictions of expression patterns in a subset of clock neurons. The described registration framework should benefit to brain studies in Drosophila and other insect species. Frontiers Media S.A. 2018-03-23 /pmc/articles/PMC5876320/ /pubmed/29628885 http://dx.doi.org/10.3389/fninf.2018.00013 Text en Copyright © 2018 Arganda-Carreras, Manoliu, Mazuras, Schulze, Iglesias, Bühler, Jenett, Rouyer and Andrey. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Arganda-Carreras, Ignacio
Manoliu, Tudor
Mazuras, Nicolas
Schulze, Florian
Iglesias, Juan E.
Bühler, Katja
Jenett, Arnim
Rouyer, François
Andrey, Philippe
A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain
title A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain
title_full A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain
title_fullStr A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain
title_full_unstemmed A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain
title_short A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain
title_sort statistically representative atlas for mapping neuronal circuits in the drosophila adult brain
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876320/
https://www.ncbi.nlm.nih.gov/pubmed/29628885
http://dx.doi.org/10.3389/fninf.2018.00013
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