Evidence map›Paper›PMID 30319342›Full record

ArticleFrontiers in neuroscience2018

A Process for Digitizing and Simulating Biologically Realistic Oligocellular Networks Demonstrated for the Neuro-Glio-Vascular Ensemble.

Jay S Coggan, Corrado Calì, Daniel Keller, Marco Agus, Daniya Boges, Marwan Abdellah, Kalpana Kare, Heikki Lehväslaiho, Stefan Eilemann, Renaud Blaise Jolivet and 4 more

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

14 authors.

Jay S CogganBlue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.
Corrado CalìBiological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Daniel KellerBlue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.
Marco AgusVisual Computing Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Daniya BogesBiological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Marwan AbdellahBlue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.
Kalpana KareBiological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Heikki LehväslaihoBiological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Stefan EilemannBlue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.
Renaud Blaise JolivetDépartement de Physique Nucléaire et Corpusculaire, University of Geneva, Geneva, Switzerland.
Markus HadwigerVisual Computing Center, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Henry MarkramBlue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.
Felix SchürmannBlue Brain Project, École Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.
Pierre J MagistrettiBiological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One will not understand the brain without an integrated exploration of structure and function, these attributes being two sides of the same coin: together they form the currency of biological computation. Accordingly, biologically realistic models require the re-creation of the architecture of the cellular components in which biochemical reactions are contained. We describe here a process of reconstructing a functional oligocellular assembly that is responsible for energy supply management in the brain and creating a computational model of the associated biochemical and biophysical processes. The reactions that underwrite thought are both constrained by and take advantage of brain morphologies pertaining to neurons, astrocytes and the blood vessels that deliver oxygen, glucose and other nutrients. Each component of this neuro-glio-vasculature ensemble (NGV) carries-out delegated tasks, as the dynamics of this system provide for each cell-type its own energy requirements while including mechanisms that allow cooperative energy transfers. Our process for recreating the ultrastructure of cellular components and modeling the reactions that describe energy flow uses an amalgam of state-of the-art techniques, including digital reconstructions of electron micrographs, advanced data analysis tools, computational simulations and

Indexed as

3D reconstructionelectron microscopyenergy metabolismin silico visualizationNGVsimulation

Identifiers

PMID30319342
PMCPMC6171468

What OpenQuestion holds

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Registered trials

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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.