Title |
Whole-brain activity mapping onto a zebrafish brain atlas
|
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Published in |
Nature Methods, September 2015
|
DOI | 10.1038/nmeth.3581 |
Pubmed ID | |
Authors |
Owen Randlett, Caroline L Wee, Eva A Naumann, Onyeka Nnaemeka, David Schoppik, James E Fitzgerald, Ruben Portugues, Alix M B Lacoste, Clemens Riegler, Florian Engert, Alexander F Schier |
Abstract |
In order to localize the neural circuits involved in generating behaviors, it is necessary to assign activity onto anatomical maps of the nervous system. Using brain registration across hundreds of larval zebrafish, we have built an expandable open source atlas containing molecular labels and anatomical region definitions, the Z-Brain. Using this platform and immunohistochemical detection of phosphorylated-Extracellular signal-regulated kinase (ERK/MAPK) as a readout of neural activity, we have developed a system to create and contextualize whole brain maps of stimulus- and behavior-dependent neural activity. This MAP-Mapping (Mitogen Activated Protein kinase - Mapping) assay is technically simple, fast, inexpensive, and data analysis is completely automated. Since MAP-Mapping is performed on fish that are freely swimming, it is applicable to nearly any stimulus or behavior. We demonstrate the utility of our high-throughput approach using hunting/feeding, pharmacological, visual and noxious stimuli. The resultant maps outline hundreds of areas associated with behaviors. |
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Geographical breakdown
Country | Count | As % |
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United Kingdom | 4 | 11% |
Germany | 2 | 5% |
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France | 1 | 3% |
Japan | 1 | 3% |
Canada | 1 | 3% |
Spain | 1 | 3% |
Australia | 1 | 3% |
Other | 1 | 3% |
Unknown | 11 | 30% |
Demographic breakdown
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Members of the public | 26 | 70% |
Scientists | 10 | 27% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
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Germany | 3 | <1% |
United Kingdom | 3 | <1% |
Switzerland | 1 | <1% |
Sweden | 1 | <1% |
Portugal | 1 | <1% |
Israel | 1 | <1% |
Japan | 1 | <1% |
China | 1 | <1% |
Other | 0 | 0% |
Unknown | 616 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 149 | 24% |
Researcher | 113 | 18% |
Student > Master | 68 | 11% |
Student > Bachelor | 63 | 10% |
Student > Doctoral Student | 34 | 5% |
Other | 82 | 13% |
Unknown | 123 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Neuroscience | 163 | 26% |
Agricultural and Biological Sciences | 148 | 23% |
Biochemistry, Genetics and Molecular Biology | 71 | 11% |
Engineering | 24 | 4% |
Physics and Astronomy | 15 | 2% |
Other | 68 | 11% |
Unknown | 143 | 23% |