ArticleNature communications2024
The critical dynamics of hippocampal seizures.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Network reorganization of anterograde thalamic connectivity during non-periodic patterned deep brain stimulation.iScience · 2026Article
- Article
- Regional excitability, not epileptic pathology, drives stimulation-evoked interictal spike increases.medRxiv : the preprint server for health sciences · 2026Article
- The membrane origin of epileptic-related paroxysms: numerical experiments to model the transition from a pacemaker potential to paroxysmal depolarization shifts in the absence of synaptic inputs.Biophysical reviews · 2026Review
- Passive neuromodulation: an energy-driven mechanism for closed-loop suppression of epileptic seizures.bioRxiv : the preprint server for biology · 2026Article
- Directed cortico-limbic dialogue in the human brain.Nature communications · 2026Article
- Toward Unified Biomarkers for Focal Epilepsy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Dual mechanism of anti-seizure medications in controlling seizure activity.Brain communications · 2026Article
- New directions for complex systems in contemporary neuroscience: a morphodynamic and emergent function approach.Frontiers in computational neuroscience · 2026Review
- Two views of the brain are reconciled by a unifying principle of maximal information processing.bioRxiv : the preprint server for biology · 2025Article
- Hippocampal Development and Epilepsy: Insights from Organoid Models.Brain sciences · 2025Review
- WONOEP XVII appraisal: Targeting network excitability beyond the synapse -Neurotransmitter, ionic, and electro -diffusions.Epilepsia · 2025Review
- Reveal the mechanism of brain function with fluorescence microscopy at single-cell resolution: from neural decoding to encoding.Journal of neuroengineering and rehabilitation · 2025Review
- On brain stimulation in epilepsy.Brain : a journal of neurology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Epilepsy is defined by the abrupt emergence of harmful seizures, but the nature of these regime shifts remains enigmatic. From the perspective of dynamical systems theory, such critical transitions occur upon inconspicuous perturbations in highly interconnected systems and can be modeled as mathematical bifurcations between alternative regimes. The predictability of critical transitions represents a major challenge, but the theory predicts the appearance of subtle dynamical signatures on the verge of instability. Whether such dynamical signatures can be measured before impending seizures remains uncertain. Here, we verified that predictions on bifurcations applied to the onset of hippocampal seizures, providing concordant results from in silico modeling, optogenetics experiments in male mice and intracranial EEG recordings in human patients with epilepsy. Leveraging pharmacological control over neural excitability, we showed that the boundary between physiological excitability and seizures can be inferred from dynamical signatures passively recorded or actively probed in hippocampal circuits. Of importance for the design of future neurotechnologies, active probing surpassed passive recording to decode underlying levels of neural excitability, notably when assessed from a network of propagating neural responses. Our findings provide a promising approach for predicting and preventing seizures, based on a sound understanding of their dynamics.
Indexed as
Identifiers
What OpenQuestion holds
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.