Evidence map›Paper›PMID 27896314›Full record

ArticleeNeuro

Graph Theoretic and Motif Analyses of the Hippocampal Neuron Type Potential Connectome.

Christopher L Rees, Diek W Wheeler, David J Hamilton, Charise M White, Alexander O Komendantov, Giorgio A Ascoli

Abstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Hippocampome.org, a resource for subicular neuron types and beyond.bioRxiv : the preprint server for biology · 2025
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  18. Rich-club in the brain's macrostructure: Insights from graph theoretical analysis.Computational and structural biotechnology journal · 2020
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Christopher L ReesKrasnow Institute for Advanced Study, George Mason University , Fairfax, VA 22030.ORCID 0000-0001-6568-7120
Diek W WheelerKrasnow Institute for Advanced Study, George Mason University , Fairfax, VA 22030.ORCID 0000-0001-8635-0033
David J HamiltonKrasnow Institute for Advanced Study, George Mason University , Fairfax, VA 22030.ORCID 0000-0001-6265-9917
Charise M WhiteKrasnow Institute for Advanced Study, George Mason University , Fairfax, VA 22030.
Alexander O KomendantovKrasnow Institute for Advanced Study, George Mason University , Fairfax, VA 22030.
Giorgio A AscoliKrasnow Institute for Advanced Study, George Mason University , Fairfax, VA 22030.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

ConnectomeAnimalsHippocampusInternetMiceNeural PathwaysNeuronsRatsconnectomicsgraph theoryhippocampal neuronsmotifsnetworkneuroinformatics

Identifiers

PMID27896314
PMCPMC5114701

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.