TY - JOUR
T1 - Predicting the spatiotemporal diversity of seizure propagation and termination in human focal epilepsy
AU - Proix, Timothée
AU - Bartolomei, Fabrice
AU - Guye, Maxime
AU - Truccolo, Wilson
AU - Jirsa, Viktor
PY - 2018/3/14
Y1 - 2018/3/14
N2 - Recent studies have shown that seizures can spread and terminate across brain areas via a rich diversity of spatiotemporal patterns. In particular, while the location of the seizure onset area is usually invariant across seizures in an individual patient, the source of traveling (2-3 Hz) spike-and-wave discharges during seizures can either move with the slower propagating ictal wavefront or remain stationary at the seizure onset area. Furthermore, although many focal seizures terminate synchronously across brain areas, some evolve into distinct ictal clusters and terminate asynchronously. Here, we introduce a unifying perspective based on a new neural field model of epileptic seizure dynamics. Two main mechanisms, the co-existence of wave propagation in excitable media and coupled-oscillator dynamics, together with the interaction of multiple time scales, account for the reported diversity. We confirm our predictions in seizures and tractography data obtained from patients with pharmacologically resistant epilepsy. Our results contribute toward patient-specific seizure modeling.
AB - Recent studies have shown that seizures can spread and terminate across brain areas via a rich diversity of spatiotemporal patterns. In particular, while the location of the seizure onset area is usually invariant across seizures in an individual patient, the source of traveling (2-3 Hz) spike-and-wave discharges during seizures can either move with the slower propagating ictal wavefront or remain stationary at the seizure onset area. Furthermore, although many focal seizures terminate synchronously across brain areas, some evolve into distinct ictal clusters and terminate asynchronously. Here, we introduce a unifying perspective based on a new neural field model of epileptic seizure dynamics. Two main mechanisms, the co-existence of wave propagation in excitable media and coupled-oscillator dynamics, together with the interaction of multiple time scales, account for the reported diversity. We confirm our predictions in seizures and tractography data obtained from patients with pharmacologically resistant epilepsy. Our results contribute toward patient-specific seizure modeling.
KW - Brain/pathology
KW - Electroencephalography
KW - Epilepsies, Partial/pathology
KW - Humans
KW - Seizures/pathology
U2 - 10.1038/s41467-018-02973-y
DO - 10.1038/s41467-018-02973-y
M3 - Article
C2 - 29540685
SN - 2041-1723
VL - 9
JO - Nature Communications
JF - Nature Communications
M1 - 1088
ER -