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Updated: Jun 26, 2026

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Published on: August 14, 2015
Cortical local and long-range synchronization interplay in human absence seizure initiation
Frédérique Amor1, Sylvain Baillet, Vincent Navarro
1Laboratoire de Neurosciences Cognitives et Imagerie Cérébrale, CNRS UPR 640, LENA Université Pierre & Marie Curie, Paris VI Hôpital de la Salpêtrière, Paris, France. frederique.amor@gmail.com
Absence seizures originate from a multifocal network, not generalized activity. This study reveals a sequence of desynchronization followed by local and long-range synchronization in the human brain during seizures.
Area of Science:
- Neuroscience
- Epilepsy Research
- Brain Dynamics
Background:
- Brain activity depends on dynamic interactions between neuronal populations.
- Synchronization patterns reflect cooperative dynamics, with absence epilepsy serving as a model for pathological brain activity.
- Spike-wave discharges (SWD) in absence epilepsy are traditionally linked to abnormal cortical hypersynchronization.
Purpose of the Study:
- To investigate the origin and spatial dynamics of SWD in the human brain.
- To explore how local and long-range neuronal interactions contribute to absence seizures.
Main Methods:
- Utilized magneto-encephalographic (MEG) recordings of spontaneous absence seizures.
- Analyzed spatio-temporal dynamics of interactions within and between cortical sites.
- Performed time-frequency analysis to extract local and long-range synchronization patterns.
Main Results:
- Identified a reproducible sequence during SWD initiation: long-range desynchronization, followed by increased local synchronization, and then increased long-range synchronization.
- Observed distinct spatio-temporal profiles for local and long-range synchronization.
- Revealed a multifocal fronto-central network involved in seizure initiation, contradicting the generalized activity model.
Conclusions:
- Absence seizures arise from a complex, multifocal network rather than sudden generalized hypersynchronization.
- Brain state transitions may involve multi-scale processes integrating local and distant neuronal interactions.
- Findings challenge the classical view of absence epilepsy and highlight the role of network dynamics.
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