Cargando…
Graph Theoretic and Motif Analyses of the Hippocampal Neuron Type Potential Connectome
We computed the potential connectivity map of all known neuron types in the rodent hippocampal formation by supplementing scantly available synaptic data with spatial distributions of axons and dendrites from the open-access knowledge base Hippocampome.org. The network that results from this endeavo...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5114701/ https://www.ncbi.nlm.nih.gov/pubmed/27896314 http://dx.doi.org/10.1523/ENEURO.0205-16.2016 |
_version_ | 1782468389338349568 |
---|---|
author | Rees, Christopher L. Wheeler, Diek W. Hamilton, David J. White, Charise M. Komendantov, Alexander O. Ascoli, Giorgio A. |
author_facet | Rees, Christopher L. Wheeler, Diek W. Hamilton, David J. White, Charise M. Komendantov, Alexander O. Ascoli, Giorgio A. |
author_sort | Rees, Christopher L. |
collection | PubMed |
description | We computed the potential connectivity map of all known neuron types in the rodent hippocampal formation by supplementing scantly available synaptic data with spatial distributions of axons and dendrites from the open-access knowledge base Hippocampome.org. The network that results from this endeavor, the broadest and most complete for a mammalian cortical region at the neuron-type level to date, contains more than 3200 connections among 122 neuron types across six subregions. Analyses of these data using graph theory metrics unveil the fundamental architectural principles of the hippocampal circuit. Globally, we identify a highly specialized topology minimizing communication cost; a modular structure underscoring the prominence of the trisynaptic loop; a core set of neuron types serving as information-processing hubs as well as a distinct group of particular antihub neurons; a nested, two-tier rich club managing much of the network traffic; and an innate resilience to random perturbations. At the local level, we uncover the basic building blocks, or connectivity patterns, that combine to produce complex global functionality, and we benchmark their utilization in the circuit relative to random networks. Taken together, these results provide a comprehensive connectivity profile of the hippocampus, yielding novel insights on its functional operations at the computationally crucial level of neuron types. |
format | Online Article Text |
id | pubmed-5114701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-51147012016-11-28 Graph Theoretic and Motif Analyses of the Hippocampal Neuron Type Potential Connectome Rees, Christopher L. Wheeler, Diek W. Hamilton, David J. White, Charise M. Komendantov, Alexander O. Ascoli, Giorgio A. eNeuro New Research We computed the potential connectivity map of all known neuron types in the rodent hippocampal formation by supplementing scantly available synaptic data with spatial distributions of axons and dendrites from the open-access knowledge base Hippocampome.org. The network that results from this endeavor, the broadest and most complete for a mammalian cortical region at the neuron-type level to date, contains more than 3200 connections among 122 neuron types across six subregions. Analyses of these data using graph theory metrics unveil the fundamental architectural principles of the hippocampal circuit. Globally, we identify a highly specialized topology minimizing communication cost; a modular structure underscoring the prominence of the trisynaptic loop; a core set of neuron types serving as information-processing hubs as well as a distinct group of particular antihub neurons; a nested, two-tier rich club managing much of the network traffic; and an innate resilience to random perturbations. At the local level, we uncover the basic building blocks, or connectivity patterns, that combine to produce complex global functionality, and we benchmark their utilization in the circuit relative to random networks. Taken together, these results provide a comprehensive connectivity profile of the hippocampus, yielding novel insights on its functional operations at the computationally crucial level of neuron types. Society for Neuroscience 2016-11-18 /pmc/articles/PMC5114701/ /pubmed/27896314 http://dx.doi.org/10.1523/ENEURO.0205-16.2016 Text en Copyright © 2016 Rees et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | New Research Rees, Christopher L. Wheeler, Diek W. Hamilton, David J. White, Charise M. Komendantov, Alexander O. Ascoli, Giorgio A. Graph Theoretic and Motif Analyses of the Hippocampal Neuron Type Potential Connectome |
title | Graph Theoretic and Motif Analyses of the Hippocampal Neuron Type Potential Connectome |
title_full | Graph Theoretic and Motif Analyses of the Hippocampal Neuron Type Potential Connectome |
title_fullStr | Graph Theoretic and Motif Analyses of the Hippocampal Neuron Type Potential Connectome |
title_full_unstemmed | Graph Theoretic and Motif Analyses of the Hippocampal Neuron Type Potential Connectome |
title_short | Graph Theoretic and Motif Analyses of the Hippocampal Neuron Type Potential Connectome |
title_sort | graph theoretic and motif analyses of the hippocampal neuron type potential connectome |
topic | New Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5114701/ https://www.ncbi.nlm.nih.gov/pubmed/27896314 http://dx.doi.org/10.1523/ENEURO.0205-16.2016 |
work_keys_str_mv | AT reeschristopherl graphtheoreticandmotifanalysesofthehippocampalneurontypepotentialconnectome AT wheelerdiekw graphtheoreticandmotifanalysesofthehippocampalneurontypepotentialconnectome AT hamiltondavidj graphtheoreticandmotifanalysesofthehippocampalneurontypepotentialconnectome AT whitecharisem graphtheoreticandmotifanalysesofthehippocampalneurontypepotentialconnectome AT komendantovalexandero graphtheoreticandmotifanalysesofthehippocampalneurontypepotentialconnectome AT ascoligiorgioa graphtheoreticandmotifanalysesofthehippocampalneurontypepotentialconnectome |