ArticleNature communications2020
Critical slowing down as a biomarker for seizure susceptibility.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 1 of them a synthesis that pooled it.
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
87 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Is criticality a unified setpoint of brain function?Neuron · 2025Pooled it
- Electrocorticographic Network Feature Space Constriction as a Preictal Biomarker.Neuroinformatics · 2026Article
- Time-dependent bistability leads to critical slowing down during floral transition in Arabidopsis.Nature communications · 2026Article
- The Influence of Recording Duration and Vigilance State on High-Frequency Oscillation Characterization in Epilepsy.Neurology · 2026Article
- Early warning signals for loss of control in complex systems.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Article
- Article
- Article
- Stabilizing fractional dynamical networks suppresses epileptic seizures.Scientific reports · 2026Article
- 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
- Synchrony is a robust iEEG biomarker for antiseizure medication load in epileptic patients.bioRxiv : the preprint server for biology · 2026Article
- Criticality and increased intrinsic neural timescales in stroke.NPJ systems biology and applications · 2025Article
- Falling asleep follows a predictable bifurcation dynamic.Nature neuroscience · 2025Article
- Social feedback amplifies emotional language in online video live chats.Communications psychology · 2025Article
- Two views of the brain are reconciled by a unifying principle of maximal information processing.bioRxiv : the preprint server for biology · 2025Article
- Utilizing Causal Network Markers to Identify Tipping Points ahead of Critical Transition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Article
- Article
- Forecasting epileptic seizures with wearable devices: A hybrid short- and long-horizon pseudo-prospective approach.Epilepsia · 2025Article
27 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human brain has the capacity to rapidly change state, and in epilepsy these state changes can be catastrophic, resulting in loss of consciousness, injury and even death. Theoretical interpretations considering the brain as a dynamical system suggest that prior to a seizure, recorded brain signals may exhibit critical slowing down, a warning signal preceding many critical transitions in dynamical systems. Using long-term intracranial electroencephalography (iEEG) recordings from fourteen patients with focal epilepsy, we monitored key signatures of critical slowing down prior to seizures. The metrics used to detect critical slowing down fluctuated over temporally long scales (hours to days), longer than would be detectable in standard clinical evaluation settings. Seizure risk was associated with a combination of these signals together with epileptiform discharges. These results provide strong validation of theoretical models and demonstrate that critical slowing down is a reliable indicator that could be used in seizure forecasting algorithms.
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.