ArticleNature communications2018
High-throughput brain activity mapping and machine learning as a foundation for systems neuropharmacology.
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 19 papers.
What it found
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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.
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Who cites it
19 citing papers in PubMed.
- Artificial intelligence-enabled "inherited noninvasive intracellular recording" for prolonged monitoring of cardiac action potentials.Science advances · 2026Article
- Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges.Epilepsia open · 2025Review
- Deep learning enhanced deciphering of brain activity maps for discovery of therapeutics for brain disorders.iScience · 2025Article
- Research Progress on the Mechanism of Action and Screening Methods of Probiotics for Lowering Blood Lipid Levels.Foods (Basel, Switzerland) · 2025Review
- Fully automated in vivo screening system for multi-organ imaging and pharmaceutical evaluation.Microsystems & nanoengineering · 2025Article
- Assessment of embryotoxic effects of quinoline yellow using attention-based convolutional neural network and machine learning in zebrafish model.Frontiers in pharmacology · 2025Article
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- Few-shot meta-learning applied to whole brain activity maps improves systems neuropharmacology and drug discovery.iScience · 2024Article
- Article
- VoDEx: a Python library for time annotation and management of volumetric functional imaging data.Bioinformatics (Oxford, England) · 2023Article
- Neuronal Activity Reporters as Drug Screening Platforms.Micromachines · 2022Review
- 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
- Overview of Beneficial Effects of (Poly)phenol Metabolites in the Context of Neurodegenerative Diseases on Model Organisms.Nutrients · 2021Review
- Advances toward precision medicine for bipolar disorder: mechanisms & molecules.Molecular psychiatry · 2021Review
- Current Methods to Investigate Nociception and Pain in Zebrafish.Frontiers in neuroscience · 2021Review
- Drug Screening with Genetically Encoded Fluorescent Sensors: Today and Tomorrow.International journal of molecular sciences · 2020Review
- Phenotype-Based Screening of Synthetic Cannabinoids in a Dravet Syndrome Zebrafish Model.Frontiers in pharmacology · 2020Article
- Zebrafish behavioural profiling identifies GABA and serotonin receptor ligands related to sedation and paradoxical excitation.Nature communications · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Technologies for mapping the spatial and temporal patterns of neural activity have advanced our understanding of brain function in both health and disease. An important application of these technologies is the discovery of next-generation neurotherapeutics for neurological and psychiatric disorders. Here, we describe an in vivo drug screening strategy that combines high-throughput technology to generate large-scale brain activity maps (BAMs) with machine learning for predictive analysis. This platform enables evaluation of compounds' mechanisms of action and potential therapeutic uses based on information-rich BAMs derived from drug-treated zebrafish larvae. From a screen of clinically used drugs, we found intrinsically coherent drug clusters that are associated with known therapeutic categories. Using BAM-based clusters as a functional classifier, we identify anti-seizure-like drug leads from non-clinical compounds and validate their therapeutic effects in the pentylenetetrazole zebrafish seizure model. Collectively, this study provides a framework to advance the field of systems neuropharmacology.
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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.