Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics DOI Creative Commons
Richard Rosch, Brittany H. Scheid, Kathryn A. Davis

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

Abstract Many biological systems display circadian and slow multi‐day rhythms, such as hormonal cardiac cycles. In patients with epilepsy, these cycles also manifest cyclical fluctuations in seizure propensity. However, symptoms are consequences of the complex interactions between underlying physiological, pathophysiological, external causes. Therefore, identifying an accurate model system that governs rhythms allows for a more reliable risk forecast targeted interventions. The primary aim is to develop personalized strategy inferring long‐term trajectories epileptiform activity and, consequently, individual undergoing ECoG sampling via implantable neurostimulation devices. To achieve this goal, Hankel alternative view Koopman (HAVOK) analysis adopted approximate linear representation nonlinear propensity dynamics. HAVOK framework leverages theory delay‐embedding decompose chaotic dynamics into leading delay‐embedded coordinates driven by low‐energy coordinate (i.e., forcing). findings reveal topology attractors cycles, showing seizures tend occur regions manifold strongly Moreover, it demonstrated identified forcings short periods up few days accurately predicts patients' slower which improves forecasting.

Language: Английский

Gauging and controlling excitability in cortical disorders DOI
Cecilia Friedrichs‐Maeder, Grégory Lepeu, Maxime O. Baud

et al.

Current Opinion in Neurology, Journal Year: 2025, Volume and Issue: 38(2), P. 140 - 150

Published: Feb. 17, 2025

Cortical excitability, defined as the cortex's responsiveness to incoming stimuli, is a fundamental concept in neuroscience and targetable mechanism for controlling brain dysfunctions such epilepsy, well other neurological psychiatric disorders. In this review, we delineate boundaries between physiological pathological highlighting recent theoretical, experimental, translational advances relevant human Specifically, describe dynamic regulation of cortical excitability propose practical means monitor its known fluctuations guide therapeutic interventions. From conceptual standpoint, last decade research on has benefited from dynamical systems theory, which studies behavior nonlinear (here, cortex) their resilience perturbations different conditions variable excitability). We review how relationships were verified series studies. also natural these may open windows vulnerability expression dysfunctions. then turn practicalities measuring monitoring latent that must be actively probed. Practical gauging likely have broad applicability. To enable new developments clinical practice, principled design pharmacological neurostimulation therapies leverage current understanding dynamics.

Language: Английский

Citations

0
Dynamic multiday seizure cycles and evolving rhythms in a tetanus toxin rat model of epilepsy DOI Creative Commons
Parvin Zarei Eskikand, Mark Cook, Anthony N. Burkitt

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 4, 2025

Language: Английский

Citations

0
Epileptiform Activity and Seizure Risk Follow Long‐Term Non‐Linear Attractor Dynamics DOI Creative Commons
Richard Rosch, Brittany H. Scheid, Kathryn A. Davis

et al.

Advanced Science, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

Abstract Many biological systems display circadian and slow multi‐day rhythms, such as hormonal cardiac cycles. In patients with epilepsy, these cycles also manifest cyclical fluctuations in seizure propensity. However, symptoms are consequences of the complex interactions between underlying physiological, pathophysiological, external causes. Therefore, identifying an accurate model system that governs rhythms allows for a more reliable risk forecast targeted interventions. The primary aim is to develop personalized strategy inferring long‐term trajectories epileptiform activity and, consequently, individual undergoing ECoG sampling via implantable neurostimulation devices. To achieve this goal, Hankel alternative view Koopman (HAVOK) analysis adopted approximate linear representation nonlinear propensity dynamics. HAVOK framework leverages theory delay‐embedding decompose chaotic dynamics into leading delay‐embedded coordinates driven by low‐energy coordinate (i.e., forcing). findings reveal topology attractors cycles, showing seizures tend occur regions manifold strongly Moreover, it demonstrated identified forcings short periods up few days accurately predicts patients' slower which improves forecasting.

Language: Английский

Citations

0