A multiscale cerebral neurochemical connectome of the rat brain
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 neuroche...
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
July 3, 2017
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| In: |
PLoS biology
Year: 2017, Volume: 15, Issue: 7 |
| ISSN: | 1545-7885 |
| DOI: | 10.1371/journal.pbio.2002612 |
| Online Access: | Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1371/journal.pbio.2002612 Verlag, kostenfrei, Volltext: http://journals.plos.org.ezproxy.medma.uni-heidelberg.de/plosbiology/article?id=10.1371/journal.pbio.2002612 
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| Author Notes: | Hamid R. Noori, Judith Schöttler, Maria Ercsey-Ravasz, Alejandro Cosa-Linan, Melinda Varga, Zoltan Toroczkai, Rainer Spanagel |
| Summary: | 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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| Item Description: | Gesehen am 05.06.2018 |
| Physical Description: | Online Resource |
| ISSN: | 1545-7885 |
| DOI: | 10.1371/journal.pbio.2002612 |