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Identifying Brain Regions Automatically

15.07.2016

Biologists develop a new method for analyzing brain images and demonstrate it with a study on fruit flies

Using the example of the fruit fly, a team of biologists led by Prof. Dr. Andrew Straw has identified patterns in the genetic activity of brain cells and taken them as a basis for drawing conclusions about the structure of the brain. The research, published in Current Biology, was conducted at the University of Freiburg and at the Research Institute of Molecular Pathology (IMP) in Vienna, Austria.


This image shows the fly brain and several different types of neurons involved in bringing visual information from the eyes. The authors developed a new technique which allowed them to automatically identify specific regions of the fly brain involved in visual processing. Each color shows a group of neurons which target such brain regions.

Image: Andrew Straw, Karin Panser


The brain of a fruit fly contains many different regions responsible for processing sight, smell, and taste, in addition to regions for controlling movement. This image shows the results of a new method which automatically identifies these brain regions. Each color represents a different brain region. The authors used this method to discover specific areas involved in processing of visual information in the fly. The technique could also be used to refine our understanding of vertebrate brains.

Image: Andrew Straw, Karin Panser

The newly developed method focuses on enhancers, DNA segments responsible for enhancing transcription of RNA at specific locations and developmental times in an organism. The research started with a database of three-dimensional images showing individual enhancer activity. The team used an automatic pattern finding algorithm to identify genetic activity patterns shared across the images.

They noticed that, in some cases, these patterns seemed to correspond with specific brain regions. To demonstrate the functionality of their method, the biologists began by applying it to regions of the fruit fly brain whose anatomy is already well known – namely, those responsible for the sense of smell. The activity patterns of the enhancers traced the already familiar anatomy of these regions.

Then the biologists used the new method to study brain regions responsible for vision. These experiments led to new insights into the anatomy of these areas: In addition to eleven already known regions, the activity patterns of the enhancers revealed 14 new regions, each of which presumably serves a different function for the fruit fly’s sense of sight. The researchers now aim to conduct further studies to determine which regions are responsible for which functions.

Andrew Straw has served since January 2016 as professor of behavioral neurobiology and animal physiology at the University of Freiburg’s Faculty of Biology and is a member of the Bernstein Center Freiburg (BCF). Before their move to Freiburg, he and his research assistants Karin Panser and Dr. Laszlo Tirian worked at the Research Institute of Molecular Pathology in Vienna in collaboration with Dr. Florian Schulze, Virtual Reality and Visualization Research Center GmbH (VRVis).

The goal of Straw’s research is to achieve a better understanding of the structure and function of the brain. He hopes this basic research will ultimately help in the design of therapies for patients suffering from neurological diseases affecting specific regions of the brain.

Results and visualizations:
https://strawlab.org/braincode

Original publication:
Panser, K./Tirian, L./Schulze, F./Villalba, S./Jefferis, G./Bühler, K./Straw, A. (2016): Automatic segmentation of Drosophila neural compartments using GAL4 expression data reveals novel visual pathways. In: Current Biology.


Contact:
Prof. Dr. Andrew Straw
Institute of Biology I (Zoology)
University of Freiburg
Phone: +49 (0)761/203-67685
E-Mail: andrew.straw@biologie.uni-freiburg.de

Weitere Informationen:

https://www.pr.uni-freiburg.de/pm/2016/pm.2016-07-15.108-en

Rudolf-Werner Dreier | Albert-Ludwigs-Universität Freiburg im Breisgau

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