ArticleNature communications2018
Brain activity patterns in high-throughput electrophysiology screen predict both drug efficacies and side effects.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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.
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.
Who cites it
43 citing papers in PubMed, 69 citations in OpenAlex.
- Employing zebrafish to understand genetic drivers of epilepsy-related comorbid behaviors.Frontiers in pharmacology · 2026Article
- Ontology accelerates few-shot learning capability of large language model: A study in extraction of drug efficacy in a rare pediatric epilepsy.International journal of medical informatics · 2025Article
- Beyond Structure: Next-Generation Electrophysiological Platforms for Functional Brain Organoids.International journal of stem cells · 2025Review
- Voltage-Gated Sodium Channel Dysfunction in Epilepsy: Zebrafish Models for Therapeutics.Biomedicines · 2025Review
- Deep learning enhanced deciphering of brain activity maps for discovery of therapeutics for brain disorders.iScience · 2025Article
- Adverse Outcome Pathway and Machine Learning to Predict Drug Induced Seizure Liability.ACS chemical neuroscience · 2025Article
- Brain network entropy, depression, and quality of life in people with traumatic brain injury and seizure disorders.Epilepsia open · 2024Article
- Bi-allelic ACBD6 variants lead to a neurodevelopmental syndrome with progressive and complex movement disorders.Brain : a journal of neurology · 2024Article
- A Zebrafish-Based Platform for High-Throughput Epilepsy Modeling and Drug Screening in F0.International journal of molecular sciences · 2024Article
- Diving into the zebrafish brain: exploring neuroscience frontiers with genetic tools, imaging techniques, and behavioral insights.Frontiers in molecular neuroscience · 2024Review
- Testing of putative antiseizure medications in a preclinical Dravet syndrome zebrafish model.Brain communications · 2024Article
- Testing of putative antiseizure drugs in a preclinical Dravet syndrome zebrafish model.bioRxiv : the preprint server for biology · 2023Article
- Zebrafish as an Innovative Tool for Epilepsy Modeling: State of the Art and Potential Future Directions.International journal of molecular sciences · 2023Review
- Assessment of the relationship between generalized convulsive epilepsy and systemic inflammatory regulators: a bidirectional Mendelian randomization study.Frontiers in neurology · 2023Article
- Scalable Electrophysiology of Millimeter-Scale Animals with Electrode Devices.BME frontiers · 2023Review
- Elevated photic response is followed by a rapid decay and depressed state in ictogenic networks.Epilepsia · 2022Article
- Neural probe system for behavioral neuropharmacology by bi-directional wireless drug delivery and electrophysiology in socially interacting mice.Nature communications · 2022Article
- Seizures initiate in zones of relative hyperexcitation in a zebrafish epilepsy model.Brain : a journal of neurology · 2022Article
- Mosaic and non-mosaic protocadherin 19 mutation leads to neuronal hyperexcitability in zebrafish.Neurobiology of disease · 2022Article
- Fish Capsules: A System for High-Throughput Screening of Combinatorial Drugs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
Abstract
Neurological drugs are often associated with serious side effects, yet drug screens typically focus only on efficacy. We demonstrate a novel paradigm utilizing high-throughput in vivo electrophysiology and brain activity patterns (BAPs). A platform with high sensitivity records local field potentials (LFPs) simultaneously from many zebrafish larvae over extended periods. We show that BAPs from larvae experiencing epileptic seizures or drug-induced side effects have substantially reduced complexity (entropy), similar to reduced LFP complexity observed in Parkinson's disease. To determine whether drugs that enhance BAP complexity produces positive outcomes, we used light pulses to trigger seizures in a model of Dravet syndrome, an intractable genetic epilepsy. The highest-ranked compounds identified by BAP analysis exhibit far greater anti-seizure efficacy and fewer side effects during subsequent in-depth behavioral assessment. This high correlation with behavioral outcomes illustrates the power of brain activity pattern-based screens and identifies novel therapeutic candidates with minimal side effects.
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Registered trials
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.