@article {6884,
	title = {A systematic nomenclature for the insect brain.},
	journal = {Neuron},
	volume = {81},
	year = {2014},
	month = {2014 Feb 19},
	pages = {755-65},
	abstract = {<p>Despite the importance of the insect nervous system for functional and developmental neuroscience, descriptions of insect brains have suffered from a lack of uniform nomenclature. Ambiguous definitions of brain regions and fiber bundles have contributed to the variation of names used to describe the same structure. The lack of clearly determined neuropil boundaries has made it difficult to document precise locations of neuronal projections for connectomics study. To address such issues, a consortium of\&nbsp;neurobiologists studying arthropod brains, the Insect Brain Name Working Group, has established the present hierarchical nomenclature system, using the brain of Drosophila melanogaster as the reference framework, while taking the brains of other taxa into careful consideration for maximum consistency and expandability. The following summarizes the consortium{\textquoteright}s nomenclature system and highlights examples of existing ambiguities and remedies for them. This nomenclature is intended to serve as a\&nbsp;standard of reference for the study of the brain of Drosophila and other insects.</p>
},
	issn = {1097-4199},
	doi = {10.1016/j.neuron.2013.12.017},
	author = {Ito, Kei and Shinomiya, Kazunori and Ito, Masayoshi and Armstrong, J Douglas and Boyan, George and Hartenstein, Volker and Harzsch, Steffen and Heisenberg, Martin and Homberg, Uwe and Jenett, Arnim and Keshishian, Haig and Restifo, Linda L and R{\"o}ssler, Wolfgang and Simpson, Julie H and Strausfeld, Nicholas J and Strauss, Roland and Vosshall, Leslie B}
}
@article {4980,
	title = {Standardized atlas of the brain of the desert locust, Schistocerca gregaria.},
	journal = {Cell and Tissue Research},
	volume = {333},
	year = {2008},
	month = {2008 Jul 27},
	pages = {125-45},
	abstract = {<p>In order to understand the connectivity of neuronal networks, their constituent neurons should ideally be studied in a common framework. Since morphological data from physiologically characterized and stained neurons usually arise from different individual brains, this can only be performed in a virtual standardized brain that compensates for interindividual variability. The desert locust, Schistocerca gregaria, is an insect species used widely for the analysis of olfactory and visual signal processing, endocrine functions, and neural networks controlling motor output. To provide a common multi-user platform for neural circuit analysis in the brain of this species, we have generated a standardized three-dimensional brain of this locust. Serial confocal images from whole-mount locust brains were used to reconstruct 34 neuropil areas in ten brains. For standardization, we compared two different methods: an iterative shape-averaging (ISA) procedure by using affine transformations followed by iterative nonrigid registrations, and the Virtual Insect Brain (VIB) protocol by using global and local rigid transformations followed by local nonrigid transformations. Both methods generated a standard brain, but for different applications. Whereas the VIB technique was designed to visualize anatomical variability between the input brains, the purpose of the ISA method was the opposite, i.e., to remove this variability. A novel individually labeled neuron, connecting the lobula to the midbrain and deutocerebrum, has been registered into the ISA atlas and demonstrates its usefulness and accuracy for future analysis of neural networks. The locust standard brain is accessible at http://www.3d-insectbrain.com .</p>
},
	keywords = {Anatomic, Anatomy, Animals, Artistic, Atlases as Topic, Brain, Brain Mapping, Grasshoppers, Imaging, Models, Neuroanatomy, Neurological, Neurons, Three-Dimensional},
	issn = {0302-766X},
	doi = {10.1007/s00441-008-0620-x},
	author = {Kurylas, Angela E and Rohlfing, Torsten and Krofczik, Sabine and Jenett, Arnim and Homberg, Uwe}
}
