Failure of adaptive self-organized criticality during epileptic seizure attacks

Abstract

Critical dynamics are assumed to be an attractive mode for normal brain functioning as information processing and computational capabilities are found to be optimized there. Recent experimental observations of neuronal activity patterns following power-law distributions, a hallmark of systems at a critical state, have led to the hypothesis that human brain dynamics could be poised at a phase transition between ordered and disordered activity. A so far unresolved question concerns the medical significance of critical brain activity and how it relates to pathological conditions. Using data from invasive electroencephalogram recordings from humans we show that during epileptic seizure attacks neuronal activity patterns deviate from the normally observed power-law distribution characterizing critical dynamics. The comparison of these observations to results from a computational model exhibiting self-organized criticality (SOC) based on adaptive networks allows further insights into the underlying dynamics. Together these results suggest that brain dynamics deviates from criticality during seizures caused by the failure of adaptive SOC.

7 pages, 5 figures

References in corpus (7)

• Emergent complex neural dynamics
• Adaptive Coevolutionary Networks: A Review
• Dynamical synapses causing self-organized criticality in neural networks
• Does the 1/f frequency-scaling of brain signals reflect self-organized critical states?
• Predicting criticality and dynamic range in complex networks: effects of topology
• Self-similar correlation function in brain resting-state fMRI
• A simple spontaneously active Hebbian learning model: homeostasis of activity and connectivity, and consequences for learning and epileptogenesis

Cited by in corpus (28)

• Colloquium: Criticality and dynamical scaling in living systems
• Criticality in the brain: A synthesis of neurobiology, models and cognition
• Modeling complex systems with adaptive networks
• Between perfectly critical and fully irregular: a reverberating model captures and predicts cortical spike propagation
• Absorbing and Shattered Fragmentation Transitions in Multilayer Coevolution
• Self-organization toward criticality by synaptic plasticity
• The signatures of conscious access and phenomenology are consistent with large-scale brain communication at criticality
• Markers of criticality in phase synchronisation
• Homeostatic plasticity and emergence of functional networks in a whole-brain model at criticality
• Antiepileptic drugs induce subcritical dynamics in human cortical networks
• Dynamic Adaptive Computation: Tuning network states to task requirements
• Self-Organized Supercriticality and Oscillations in Networks of Stochastic Spiking Neurons
• Fragmentation transitions in multi-state voter models
• Assessing criticality in pre-seizure single-neuron activity of human epileptic cortex
• Identification of criticality in neuronal avalanches: I. A theoretical investigation of the non-driven case
• Scaling behaviour in probabilistic neuronal cellular automata
• A power-law distribution of phase-locking intervals does not imply critical interaction
• Dynamical signatures of structural connectivity damage to a model of the brain posed at criticality
• Criticality or Supersymmetry Breaking ?
• Dynamical Diagnosis and Solutions for Resilient Natural and Social Systems
• Critical drift in a neuro-inspired adaptive network
• Moment-Closure Approximations for Discrete Adaptive Networks
• Recovery of activation propagation and self-sustained oscillation abilities in stroke brain networks
• Optimal input reverberation and homeostatic self-organization towards the edge of synchronization
• Local inhibitory plasticity tunes global brain dynamics and allows the emergence of functional brain networks
• Topological Field Theory and Stochastic Dynamics
• Large-scale signatures of unconsciousness are consistent with a departure from critical dynamics
• A neuronal dynamics study on a neuromorphic chip