ArticleNature neuroscience2018
Loss of neuronal network resilience precedes seizures and determines the ictogenic nature of interictal synaptic perturbations.
Article in Nature neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 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
54 citing papers in PubMed.
- Network reorganization of anterograde thalamic connectivity during non-periodic patterned deep brain stimulation.iScience · 2026Article
- Article
- Article
- Neuronal silence as a predictive biomarker and target for epileptic seizures suppression.Scientific reports · 2026Article
- Neurobehavioral Signatures of Epileptogenesis: Molecular Programs, Trait-like Phenotypes, and Translational Biomarkers Beyond Seizures.International journal of molecular sciences · 2026Review
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Synchrony is a robust iEEG biomarker for antiseizure medication load in epileptic patients.bioRxiv : the preprint server for biology · 2026Article
- White matter signals reflect information transmission between brain regions during seizures.Brain : a journal of neurology · 2026Article
- Intracortical Microstimulation in Brain-Computer Interfaces: Evoking Perception and Plasticity.Cyborg and bionic systems (Washington, D.C.) · 2026Review
- Ion dynamics underlying the seizure delay effect of low-frequency electrical stimulation.PLoS computational biology · 2025Article
- Abnormalities of thalamus and thalamocortical pathways in patients with refractory epilepsy caused by focal cortical dysplasia - MRI study.Epilepsia open · 2025Article
- Multiscale predictive modeling robustly improves the accuracy of pseudo-prospective seizure forecasting in drug-resistant epilepsy.bioRxiv : the preprint server for biology · 2025Article
- Virtual brain twins for stimulation in epilepsy.Nature computational science · 2025Article
- Amplitude entropy captures chimera resembling behavior in the altered brain dynamics during seizures.Scientific reports · 2025Article
- Virtual epilepsy patient cohort: Generation and evaluation.PLoS computational biology · 2025Article
- On brain stimulation in epilepsy.Brain : a journal of neurology · 2025Review
- Epilepsy and migraine: a diagnostic and therapeutic challenge.Frontiers in pharmacology · 2025Review
- Article
- Hippocampal network activity forecasts epileptic seizures.Nature medicine · 2024Article
- Article
Corrections and comments
- Commented on by
Authors and funding
16 authors.
Funding
Abstract
The mechanism of seizure emergence and the role of brief interictal epileptiform discharges (IEDs) in seizure generation are two of the most important unresolved issues in modern epilepsy research. We found that the transition to seizure is not a sudden phenomenon, but is instead a slow process that is characterized by the progressive loss of neuronal network resilience. From a dynamical perspective, the slow transition is governed by the principles of critical slowing, a robust natural phenomenon that is observable in systems characterized by transitions between dynamical regimes. In epilepsy, this process is modulated by synchronous synaptic input from IEDs. IEDs are external perturbations that produce phasic changes in the slow transition process and exert opposing effects on the dynamics of a seizure-generating network, causing either anti-seizure or pro-seizure effects. We found that the multifaceted nature of IEDs is defined by the dynamical state of the network at the moment of the discharge occurrence.
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.