Evidence map›Paper›PMID 29165247›Full record

ArticleeLife2017

T2N as a new tool for robust electrophysiological modeling demonstrated for mature and adult-born dentate granule cells.

Marcel Beining, Lucas Alberto Mongiat, Stephan Wolfgang Schwarzacher, Hermann Cuntz, Peter Jedlicka

Abstract read
In one paragraph

Article in eLife, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
  2. Article
  3. The Brain's Best Kept Secret Is Its Degenerate Structure.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review
  4. Article
  5. Article
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  9. The Amyloid Precursor Protein Regulates Synaptic Transmission at Medial Perforant Path Synapses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
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  11. Article
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  14. 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

5 authors.

Marcel BeiningErnst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany.ORCID http://orcid.org/0000-0002-6577-2648
Lucas Alberto MongiatInstituto de Investigación en Biodiversidad y Medioambiente, Universidad Nacional del Comahue-CONICET, San Carlos de Bariloche, Argentina.
Stephan Wolfgang SchwarzacherInstitute of Clinical Neuroanatomy, Neuroscience Center, Goethe University, Frankfurt, Germany.
Hermann Cuntz *Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Frankfurt, Germany.ORCID http://orcid.org/0000-0001-5445-0507
Peter Jedlicka *Institute of Clinical Neuroanatomy, Neuroscience Center, Goethe University, Frankfurt, Germany.ORCID http://orcid.org/0000-0001-6571-5742

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Compartmental models are the theoretical tool of choice for understanding single neuron computations. However, many models are incomplete, built ad hoc and require tuning for each novel condition rendering them of limited usability. Here, we present T2N, a powerful interface to control NEURON with Matlab and TREES toolbox, which supports generating models stable over a broad range of reconstructed and synthetic morphologies. We illustrate this for a novel, highly detailed active model of dentate granule cells (GCs) replicating a wide palette of experiments from various labs. By implementing known differences in ion channel composition and morphology, our model reproduces data from mouse or rat, mature or adult-born GCs as well as pharmacological interventions and epileptic conditions. This work sets a new benchmark for detailed compartmental modeling. T2N is suitable for creating robust models useful for large-scale networks that could lead to novel predictions. We discuss possible T2N application in degeneracy studies.

Indexed as

Electrophysiological PhenomenaModels, NeurologicalAnimalsComputational BiologyDentate GyrusMiceNeuronsRatsadult neurogenesiscompartmental modelingcomputational biologydentate gyruselectrophysiologygranule cellmorphological modelingmouseneuroscienceratsystems biology

Identifiers

PMID29165247
PMCPMC5737656

What OpenQuestion holds

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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.