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A multiscale cerebral neurochemical connectome of the rat brain
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| Veröffentlicht in: | PLoS biology 15(2017,7) Artikel-Nummer e2002612, 23 Seiten |
|---|---|
| Personen und Körperschaften: | , |
| Titel: | A multiscale cerebral neurochemical connectome of the rat brain/ Hamid R. Noori, Judith Schöttler, Maria Ercsey-Ravasz, Alejandro Cosa-Linan, Melinda Varga, Zoltan Toroczkai, Rainer Spanagel |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
July 3, 2017
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| Gesamtaufnahme: |
Public Library of Science: PLoS biology, 15(2017,7) Artikel-Nummer e2002612, 23 Seiten
, volume:15 |
| Schlagwörter: | |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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| 245 | 1 | 2 | |a A multiscale cerebral neurochemical connectome of the rat brain |c Hamid R. Noori, Judith Schöttler, Maria Ercsey-Ravasz, Alejandro Cosa-Linan, Melinda Varga, Zoltan Toroczkai, Rainer Spanagel |
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| 520 | |a 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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| 650 | 4 | |a Network analysis | |
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| contents | 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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| spelling | Noori, Hamid Reza 1982- VerfasserIn (DE-588)136385877 (DE-627)58206872X (DE-576)300993609 aut, A multiscale cerebral neurochemical connectome of the rat brain Hamid R. Noori, Judith Schöttler, Maria Ercsey-Ravasz, Alejandro Cosa-Linan, Melinda Varga, Zoltan Toroczkai, Rainer Spanagel, July 3, 2017, 23, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Gesehen am 05.06.2018, 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., Connectomics, Data mining, Directed graphs, Macaque, Network analysis, Neural networks, Neurons, Rats, Spanagel, Rainer 1961- VerfasserIn (DE-588)112706312 (DE-627)521941261 (DE-576)289740002 aut, Enthalten in Public Library of Science PLoS biology Lawrence, KS : PLoS, 2003 15(2017,7) Artikel-Nummer e2002612, 23 Seiten Online-Ressource (DE-627)373755597 (DE-600)2126773-X (DE-576)109104846 1545-7885 nnns, volume:15 year:2017 number:7 extent:23, http://dx.doi.org/10.1371/journal.pbio.2002612 Verlag Resolving-System kostenfrei Volltext, http://journals.plos.org.ezproxy.medma.uni-heidelberg.de/plosbiology/article?id=10.1371/journal.pbio.2002612 Verlag kostenfrei Volltext, http://dx.doi.org/10.1371/journal.pbio.2002612 LFER, LFER 2018-06-06T00:00:00Z |
| spellingShingle | Noori, Hamid Reza, Spanagel, Rainer, 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 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., Connectomics, Data mining, Directed graphs, Macaque, Network analysis, Neural networks, Neurons, Rats |
| swb_id_str | 505996561 |
| title | A multiscale cerebral neurochemical connectome of the rat brain |
| title_auth | A multiscale cerebral neurochemical connectome of the rat brain |
| title_full | A multiscale cerebral neurochemical connectome of the rat brain Hamid R. Noori, Judith Schöttler, Maria Ercsey-Ravasz, Alejandro Cosa-Linan, Melinda Varga, Zoltan Toroczkai, Rainer Spanagel |
| title_fullStr | A multiscale cerebral neurochemical connectome of the rat brain Hamid R. Noori, Judith Schöttler, Maria Ercsey-Ravasz, Alejandro Cosa-Linan, Melinda Varga, Zoltan Toroczkai, Rainer Spanagel |
| title_full_unstemmed | A multiscale cerebral neurochemical connectome of the rat brain Hamid R. Noori, Judith Schöttler, Maria Ercsey-Ravasz, Alejandro Cosa-Linan, Melinda Varga, Zoltan Toroczkai, Rainer Spanagel |
| title_in_hierarchy | A multiscale cerebral neurochemical connectome of the rat brain / Hamid R. Noori, Judith Schöttler, Maria Ercsey-Ravasz, Alejandro Cosa-Linan, Melinda Varga, Zoltan Toroczkai, Rainer Spanagel, |
| title_short | A multiscale cerebral neurochemical connectome of the rat brain |
| title_sort | multiscale cerebral neurochemical connectome of the rat brain |
| topic | Connectomics, Data mining, Directed graphs, Macaque, Network analysis, Neural networks, Neurons, Rats |
| topic_facet | Connectomics, Data mining, Directed graphs, Macaque, Network analysis, Neural networks, Neurons, Rats |
| url | http://dx.doi.org/10.1371/journal.pbio.2002612, http://journals.plos.org.ezproxy.medma.uni-heidelberg.de/plosbiology/article?id=10.1371/journal.pbio.2002612 |