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PLoS Biol. 2017 Jul 3;15(7):e2002612. doi: 10.1371/journal.pbio.2002612. eCollection 2017 Jul.

A multiscale cerebral neurochemical connectome of the rat brain.

Author information

1
Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
2
Neuronal Convergence Group, Max Planck Institute for Biological Cybernetics, Tübingen, Germany.
3
Institut des Hautes Etudes Scientifiques, Bures-sur-Yvette, France.
4
Faculty of Physics, Babes-Bolyai University, Cluj-Napoca, Romania.
5
Romanian Institute of Science and Technology, Cluj-Napoca, Romania.
6
Physics Department and the Interdisciplinary Center for Network Science and Applications, University of Notre Dame, Notre Dame, Indiana, United States of America.

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.

PMID:
28671956
PMCID:
PMC5507471
DOI:
10.1371/journal.pbio.2002612
[Indexed for MEDLINE]
Free PMC Article

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