FB2026_02 , released June 18, 2026
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Citation
Arganda-Carreras, I., Manoliu, T., Mazuras, N., Schulze, F., Iglesias, J.E., Bühler, K., Jenett, A., Rouyer, F., Andrey, P. (2018). A Statistically Representative Atlas for Mapping Neuronal Circuits in the Drosophila Adult Brain.  Front. Neuroinform. 12(): 13.
FlyBase ID
FBrf0238576
Publication Type
Research paper
Abstract
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.
PubMed ID
PubMed Central ID
PMC5876320 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Front. Neuroinform.
    Title
    Frontiers in neuroinformatics
    ISBN/ISSN
    1662-5196
    Data From Reference