Evidence map›Paper›PMID 37419110›Full record

ArticleStem cell reports2023

An in silico and in vitro human neuronal network model reveals cellular mechanisms beyond Na

Nina Doorn, Eline J H van Hugte, Ummi Ciptasari, Annika Mordelt, Hil G E Meijer, Dirk Schubert, Monica Frega, Nael Nadif Kasri, Michel J A M van Putten

Open access · goldAbstract read
In one paragraph

Article in Stem cell reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. An integratediScience · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. WhenAPL bioengineering · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. 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

9 authors at 3 institutions in 1 country.

Nina DoornDepartment of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, the Netherlands. Electronic address: n.doorn-1@utwente.nl.
Eline J H van HugteDepartment of Neurology, Academic Center for Epileptology Kempenhaeghe, 5591 VE Heeze, the Netherlands; Department of Human Genetics, Radboudumc, 6500 HB Nijmegen, the Netherlands; Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6525 HR Nijmegen, the Netherlands.
Ummi CiptasariDepartment of Human Genetics, Radboudumc, 6500 HB Nijmegen, the Netherlands; Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6525 HR Nijmegen, the Netherlands.
Annika MordeltDepartment of Human Genetics, Radboudumc, 6500 HB Nijmegen, the Netherlands; Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6525 HR Nijmegen, the Netherlands.
Hil G E MeijerDepartment of Applied Mathematics, University of Twente, 7522 NB Enschede, the Netherlands.
Dirk SchubertDepartment of Human Genetics, Radboudumc, 6500 HB Nijmegen, the Netherlands; Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6525 HR Nijmegen, the Netherlands.
Monica FregaDepartment of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, the Netherlands.
Nael Nadif KasriDepartment of Human Genetics, Radboudumc, 6500 HB Nijmegen, the Netherlands; Department of Cognitive Neurosciences, Radboudumc, Donders Institute for Brain Cognition and Behaviour, 6525 HR Nijmegen, the Netherlands.
Michel J A M van PuttenDepartment of Clinical Neurophysiology, University of Twente, 7522 NB Enschede, the Netherlands; Department of Neurology and Clinical Neurophysiology, Medisch Spectrum Twente, 7512 KZ Enschede, the Netherlands.
Radboud University Nijmegen · NLUniversity of Twente · NLMedisch Spectrum Twente · NL

Funding

ZonMw 91217055
6 · The paper itself

Abstract

Human induced pluripotent stem cell (hiPSC)-derived neuronal networks on multi-electrode arrays (MEAs) provide a unique phenotyping tool to study neurological disorders. However, it is difficult to infer cellular mechanisms underlying these phenotypes. Computational modeling can utilize the rich dataset generated by MEAs, and advance understanding of disease mechanisms. However, existing models lack biophysical detail, or validation and calibration to relevant experimental data. We developed a biophysical in silico model that accurately simulates healthy neuronal networks on MEAs. To demonstrate the potential of our model, we studied neuronal networks derived from a Dravet syndrome (DS) patient with a missense mutation in SCN1A, encoding sodium channel Na

Indexed as

Epilepsies, MyoclonicInduced Pluripotent Stem CellsHumansMutationMutation, MissenseNAV1.1 Voltage-Gated Sodium ChannelNeuronsNAV1.1 Voltage-Gated Sodium Channelcomputational modeldisease modelingDravet Syndromehumen induced pluripotent stem cellsiPSCmulti-electrode arraysneuronal network activitySCN1A

Identifiers

PMID37419110
PMCPMC10444571
OpenAlexW4383371160

What OpenQuestion holds

Textmetadata
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.