Evidence map›Paper›PMID 24100964›Full record

ArticleNeuroinformatics2014

VolRoverN: enhancing surface and volumetric reconstruction for realistic dynamical simulation of cellular and subcellular function.

John Edwards, Eric Daniel, Justin Kinney, Tom Bartol, Terrence Sejnowski, Daniel Johnston, Kristen Harris, Chandrajit Bajaj

Abstract read
In one paragraph

Article in Neuroinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Morphological principles of neuronal mitochondria.The Journal of comparative neurology · 2022
    Article
  8. Efficient metadata mining of web-accessible neural morphologies.Progress in biophysics and molecular biology · 2022
    Article
  9. Modeling Neurons in 3D at the Nanoscale.Advances in experimental medicine and biology · 2022
    Article
  10. Article
  11. Article
  12. Long-term potentiation expands information content of hippocampal dentate gyrus synapses.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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

8 authors.

John EdwardsDepartment of Computer Science, ICES, The University of Texas, Austin, TX, USA.
Eric Daniel
Justin Kinney
Tom Bartol
Terrence Sejnowski
Daniel Johnston
Kristen Harris
Chandrajit Bajaj

Funding

VISUALIZATION TOOLS FOR AUTOMATED MOLECULAR MICROSCOPYP41RR008605 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAPADOPOULOS, PHILIP · 1994 to 2011
$28.1M
TrainingP41GM103712 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FAEDER, JAMES · 2012 to 2021
$16.3M
Molecular and Cellular Transport in MucusR01EB000487 · NIBIB · YALE UNIVERSITY · PI IWASAKI, AKIKO, SALTZMAN, W. MARK · 2002 to 2019
$5.0M
Synaptic plasticity across the lifespanR01MH095980 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI KRISTEN M HARRIS · 2012 to 2026
$5.0M
CELLULAR INFORMATION PROCESSING IN THE HIPPOCAMPUSR01MH048432 · NIMH · UNIVERSITY OF TEXAS AUSTIN · PI JOHNSTON, DANIEL · 1991 to 2012
$3.8M
Spine and Synaptic Plasticity in Mature HippocampusR37NS021184 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI HARRIS, KRISTEN M · 2005 to 2011
$2.2M
Distance-Dependent Structure and Function of Neuronal DendritesR01EB002170 · NIBIB · UNIVERSITY OF TEXAS AT AUSTIN · PI HARRIS, KRISTEN M · 2003 to 2010
$2.1M
Ionic Cell Signaling in Small SpacesR01MH079076 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI SEJNOWSKI, TERRENCE J · 2008 to 2012
$2.1M
Neuronal Mechanisms for Working Memory in Prefrontal CortexR01MH094839 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI JOHNSTON, DANIEL, MAUK, MICHAEL D · 2011 to 2015
$1.9M
Synapse growth and elimination in mature CNSR01MH104319 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI HARRIS, KRISTEN M · 2014 to 2018
$1.8M
Distance-Dependent Structure and Function of Neuronal DendritesR01NS074644 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI HARRIS, KRISTEN M · 2011 to 2015
$1.7M
SPINES SYNAPSES AND THE ONTOGENY OF A MEMORY MECHANISMR01NS021184 · NINDS · MEDICAL COLLEGE OF GEORGIA (MCG) · PI HARRIS, KRISTEN M · 1988 to 2003
$1.4M
Howard Hughes Medical InstituteNCRR NIH HHS P41 RR008605NIBIB NIH HHS R01 EB000487NIBIB NIH HHS R01 EB002170NIBIB NIH HHS R01-EB00487NIBIB NIH HHS R01 EB004873NIGMS NIH HHS P41 GM103712NIGMS NIH HHS P41-GM103712NIGMS NIH HHS R01 GM074258NIGMS NIH HHS R01-GM074258NIMH NIH HHS MH048432NIMH NIH HHS MH079076NIMH NIH HHS MH094838NIMH NIH HHS R01 MH048432NIMH NIH HHS R01 MH094839NIMH NIH HHS R01 MH095980NIMH NIH HHS R01 MH104319NINDS NIH HHS NS074644NINDS NIH HHS NS21184NINDS NIH HHS R01 NS021184NINDS NIH HHS R01 NS074644NINDS NIH HHS R37 NS021184
6 · The paper itself

Abstract

Establishing meaningful relationships between cellular structure and function requires accurate morphological reconstructions. In particular, there is an unmet need for high quality surface reconstructions to model subcellular and synaptic interactions among neurons and glia at nanometer resolution. We address this need with VolRoverN, a software package that produces accurate, efficient, and automated 3D surface reconstructions from stacked 2D contour tracings. While many techniques and tools have been developed in the past for 3D visualization of cellular structure, the reconstructions from VolRoverN meet specific quality criteria that are important for dynamical simulations. These criteria include manifoldness, water-tightness, lack of self- and object-object-intersections, and geometric accuracy. These enhanced surface reconstructions are readily extensible to any cell type and are used here on spiny dendrites with complex morphology and axons from mature rat hippocampal area CA1. Both spatially realistic surface reconstructions and reduced skeletonizations are produced and formatted by VolRoverN for easy input into analysis software packages for neurophysiological simulations at multiple spatial and temporal scales ranging from ion electro-diffusion to electrical cable models.

Indexed as

Computer SimulationImage Processing, Computer-AssistedSoftwareAnimalsHippocampusMaleNeuronsRats

Identifiers

PMID24100964
PMCPMC4033674

What OpenQuestion holds

Textmetadata
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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.