Evidence map›Paper›PMID 40719753›Full record

ArticleEpilepsia2025

Electrical stimulation of stem cell-derived human neural networks for evaluating anti-seizure medications.

Joshua Nicholls, Jinchao Gu, Zhibin Chen, Zikou Liu, Ana Antonic-Baker, Muhammad Shahid Javaid, Eliza Moore, Hailin Zhu, Afaf Altalhi, David K Wright and 4 more

Abstract read
In one paragraph

Article in Epilepsia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

14 authors.

Joshua NichollsDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Science, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0009-0005-0129-3575
Jinchao GuDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Science, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
Zhibin ChenDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Science, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-1888-6917
Zikou LiuDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Science, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-0787-5083
Ana Antonic-BakerDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Science, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-4275-7557
Muhammad Shahid JavaidDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Science, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-2146-5566
Eliza MooreDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Science, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
Hailin ZhuDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Science, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0009-0006-8277-3665
Afaf AltalhiDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Science, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.
David K WrightDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Science, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-7535-8651
Huseyin SumerDepartment of Chemistry and Biotechnology, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, Victoria, Australia.ORCID https://orcid.org/0000-0001-9413-5579
Terence J O'BrienDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Science, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-7198-8621
Patrick KwanDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Science, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-7310-276X
Ben RolloDepartment of Neuroscience, Faculty of Medicine, Nursing and Health Science, School of Translational Medicine, Monash University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-6907-3468

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCurrent preclinical epilepsy drug screening relies on animal models that poorly reflect human neurophysiology, leading to high failure rates in clinical translation. We aimed to establish a human in vitro model using human-induced pluripotent stem cell (hiPSC)-derived cortical neurons cultured on multielectrode arrays (MEAs), capable of generating precisely controlled after-discharges (ADs) through electrical stimulation. We optimized stimulation parameters to evoke epileptiform-like hypersynchronous events and validated the model using six approved antiseizure medications (ASMs).

methodshiPSCs were rapidly differentiated into NGN2 cortical neurons and co-cultured with astrocytes on a 12-electrode, 24-well MEA. Network activity was tracked weekly. Upon maturation, biphasic voltage stimuli (400-2000 mV, 10 pulses at 100 Hz, 100 μs phase width) were applied in 100 ms trains to induce ADs. Stimulation intensity was increased until a maximum spike count per burst was reached. The timing of the stimulating inter-burst interval (IBI) was shortened from 10 to 1 s. We tested six ASMs with distinct mechanisms of action for their ability to attenuate induced ADs, as measured by the area under the curve (AUC) of spikes within bursts.

resultsA ±1000 mV stimulus was sufficient to evoke robust ADs; higher voltages caused network instability without enhancing response strength. The maximum hypersynchronous bursting rate was observed with 2 s IBIs, whereas attempts to induce more frequent events using 1 s IBIs led to desynchronization and a reduction in burst frequency below baseline. Phenytoin, perampanel, clonazepam, and lamotrigine significantly reduced AUC within 5 min in a concentration-dependent manner. Vigabatrin and levetiracetam required longer pre-incubations: AUC was reduced after 6 h for levetiracetam and at 24 h for vigabatrin. SIGNIFICANCE: We present a novel hiPSC-derived, electrically induced in vitro model for screening ASM candidates. This approach captures human-relevant epileptiform dynamics, allows fine control over stimulation parameters, and enables testing of diverse drug mechanisms. Its compatibility with high-throughput platforms makes it a promising tool for ASM discovery and personalized treatment strategies.

Indexed as

AnticonvulsantsElectric StimulationInduced Pluripotent Stem CellsNerve NetNeuronsAction PotentialsAstrocytesCell DifferentiationCells, CulturedCoculture TechniquesDrug Evaluation, PreclinicalHumansAnticonvulsantsantiseizure medicationsdrug screeningelectrical stimulationepilepsyin vitro maximal electroshock modelmultielectrode array

Identifiers

PMID40719753
PMCPMC12661287

What OpenQuestion holds

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LicenceCC BY-NC
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.