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  A multiscale cerebral neurochemical connectome of the rat brain

Noori, H., Schöttler, J., Ercsey-Ravasz, M., Cosa-Linan, A., Varga, M., Toroczkai, Z., et al. (2017). A multiscale cerebral neurochemical connectome of the rat brain. PLoS Biology, 15(7), 1-23. doi:10.1371/journal.pbio.2002612.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-C2CE-D Version Permalink: http://hdl.handle.net/21.11116/0000-0001-8789-C
Genre: Journal Article

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Noori, HR1, 2, Author              
Schöttler, J, Author
Ercsey-Ravasz, M, Author
Cosa-Linan, A, Author
Varga, M, Author
Toroczkai, Z, Author
Spanagel, R, Author
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1Research Group Neuronal Convergence, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_2528694              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: Understanding the rat neurochemical connectome is fundamental for exploring neuronal information processing. By using advanced data mining, supervised machine learning, and network analysis, this study integrates over 5 decades of neuroanatomical investigations into a multiscale, multilayer neurochemical connectome of the rat brain. This neurochemical connectivity database (ChemNetDB) is supported by comprehensive systematically-determined receptor distribution maps. The rat connectome has an onion-type structural organization and shares a number of structural features with mesoscale connectomes of mouse and macaque. Furthermore, we demonstrate that extremal values of graph theoretical measures (e.g., degree and betweenness) are associated with evolutionary-conserved deep brain structures such as amygdala, bed nucleus of the stria terminalis, dorsal raphe, and lateral hypothalamus, which regulate primitive, yet fundamental functions, such as circadian rhythms, reward, aggression, anxiety, and fear. The ChemNetDB is a freely available resource for systems analysis of motor, sensory, emotional, and cognitive information processing.

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 Dates: 2017-07
 Publication Status: Published online
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 Identifiers: DOI: 10.1371/journal.pbio.2002612
eDoc: e2002612
BibTex Citekey: NooriSECVTS2017
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Title: PLoS Biology
Source Genre: Journal
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Pages: - Volume / Issue: 15 (7) Sequence Number: - Start / End Page: 1 - 23 Identifier: -