ArticleNeuron2023
Hidden behavioral fingerprints in epilepsy.
Article in Neuron, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- A network approach with motion sequencing reveals hidden patterns of repetitive behavior in a pre-clinical model of epilepsy.Epilepsy & behavior : E&B · 2026Article
- Article
- The choice-wide behavioral association study: data-driven identification of interpretable behavioral components.Nature communications · 2026Article
- Olfactory Valence-Processing Deficits and Aberrant Brain Network Connectivity Underlie Social Dysfunction in Shank3Neuroscience bulletin · 2026Article
- Temporal assessment of behavior in Parkinson's visual hallucinations via a multidimensional analysis strategy.Signal transduction and targeted therapy · 2026Article
- Feature library for behavioural characterization of early and late seizures in an experimental model of post-traumatic epilepsy.Journal of neuroscience methods · 2026Article
- Article
- Employing zebrafish to understand genetic drivers of epilepsy-related comorbid behaviors.Frontiers in pharmacology · 2026Article
- New directions for complex systems in contemporary neuroscience: a morphodynamic and emergent function approach.Frontiers in computational neuroscience · 2026Review
- Behavior Decoding Delineates Seizure Microfeatures and Associated Sudden Death Risks in Mouse Models of Epilepsy.Annals of neurology · 2026Article
- AI-driven decoding of naturalistic behaviors enables tailored detection of depressive-like behavior in mice.Nature communications · 2025Article
- Visual detection of seizures in mice using supervised machine learning.Cell reports methods · 2025Article
- Motion sequencing reveals hidden patterns of repetitive behavior in a mouse model of epilepsy.bioRxiv : the preprint server for biology · 2025Article
- Hunger modulates exploration through suppression of dopamine signaling in the tail of the striatum.Neuron · 2025Article
- A spatiotemporal hypergraph self-attention neural networks framework for the identification and pharmacological efficacy assessment of Parkinson's disease motor symptoms.NPJ Parkinson's disease · 2025Article
- Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges.Epilepsia open · 2025Review
- Article
- Automated detection of complex zebrafish seizure behavior at scale.Communications biology · 2025Article
- Accurate Tracking of Locomotory Kinematics in Mice Moving Freely in Three-Dimensional Environments.eNeuro · 2025Article
- Anti-drift pose tracker (ADPT), a transformer-based network for robust animal pose estimation cross-species.eLife · 2025Article
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Authors and funding
9 authors.
Funding
Abstract
Epilepsy is a major disorder affecting millions of people. Although modern electrophysiological and imaging approaches provide high-resolution access to the multi-scale brain circuit malfunctions in epilepsy, our understanding of how behavior changes with epilepsy has remained rudimentary. As a result, screening for new therapies for children and adults with devastating epilepsies still relies on the inherently subjective, semi-quantitative assessment of a handful of pre-selected behavioral signs of epilepsy in animal models. Here, we use machine learning-assisted 3D video analysis to reveal hidden behavioral phenotypes in mice with acquired and genetic epilepsies and track their alterations during post-insult epileptogenesis and in response to anti-epileptic drugs. These results show the persistent reconfiguration of behavioral fingerprints in epilepsy and indicate that they can be employed for rapid, automated anti-epileptic drug testing at scale.
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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.