ArticlePloS one2012
Scaling effects and spatio-temporal multilevel dynamics in epileptic seizures.
Article in PloS one, 2012. 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, 87 citations in OpenAlex.
- Utilizing Causal Network Markers to Identify Tipping Points ahead of Critical Transition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Autonomic biosignals, seizure detection, and forecasting.Epilepsia · 2025Review
- Examining the research methods of early warning signals in clinical psychology through a theoretical lens.BMC psychiatry · 2025Review
- FateNet: an integration of dynamical systems and deep learning for cell fate prediction.Bioinformatics (Oxford, England) · 2024Article
- The critical dynamics of hippocampal seizures.Nature communications · 2024Article
- Critical dynamics and interictal epileptiform discharge: a comparative analysis with respect to tracking seizure risk cycles.Frontiers in network physiology · 2024Article
- Systematic analysis and optimization of early warning signals for critical transitions using distribution data.iScience · 2023Article
- Identifying critical transitions in complex diseases.Journal of biosciences · 2022Review
- Deep learning for early warning signals of tipping points.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Canard solutions in neural mass models: consequences on critical regimes.Journal of mathematical neuroscience · 2021Article
- Assessing criticality in pre-seizure single-neuron activity of human epileptic cortex.PLoS computational biology · 2021Article
- Criticality, Connectivity, and Neural Disorder: A Multifaceted Approach to Neural Computation.Frontiers in computational neuroscience · 2021Review
- Neural mass modeling of slow-fast dynamics of seizure initiation and abortion.PLoS computational biology · 2020Article
- A taxonomy of seizure dynamotypes.eLife · 2020Article
- Antiepileptic drugs induce subcritical dynamics in human cortical networks.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Critical slowing down as a biomarker for seizure susceptibility.Nature communications · 2020Article
- Why Brain Criticality Is Clinically Relevant: A Scoping Review.Frontiers in neural circuits · 2020Article
- Deep Brain Stimulation for Epilepsy: Biomarkers for Optimization.Current treatment options in neurology · 2019Review
- Identifying signal-dependent information about the preictal state: A comparison across ECoG, EEG and EKG using deep learning.EBioMedicine · 2019Article
- Oscillatory Patterns of Phase Cone Formations near to Epileptic Spikes Derived from 256-Channel Scalp EEG Data.Computational and mathematical methods in medicine · 2018Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epileptic seizures are one of the most well-known dysfunctions of the nervous system. During a seizure, a highly synchronized behavior of neural activity is observed that can cause symptoms ranging from mild sensual malfunctions to the complete loss of body control. In this paper, we aim to contribute towards a better understanding of the dynamical systems phenomena that cause seizures. Based on data analysis and modelling, seizure dynamics can be identified to possess multiple spatial scales and on each spatial scale also multiple time scales. At each scale, we reach several novel insights. On the smallest spatial scale we consider single model neurons and investigate early-warning signs of spiking. This introduces the theory of critical transitions to excitable systems. For clusters of neurons (or neuronal regions) we use patient data and find oscillatory behavior and new scaling laws near the seizure onset. These scalings lead to substantiate the conjecture obtained from mean-field models that a Hopf bifurcation could be involved near seizure onset. On the largest spatial scale we introduce a measure based on phase-locking intervals and wavelets into seizure modelling. It is used to resolve synchronization between different regions in the brain and identifies time-shifted scaling laws at different wavelet scales. We also compare our wavelet-based multiscale approach with maximum linear cross-correlation and mean-phase coherence measures.
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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.