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Antiepileptic drugs induce subcritical dynamics in human cortical networks.
Meisel, Christian.
  • Meisel C; Department of Neurology, University Clinic Carl Gustav Carus, 01307 Dresden, Germany; christian@meisel.de.
Proc Natl Acad Sci U S A ; 117(20): 11118-11125, 2020 05 19.
Article en En | MEDLINE | ID: mdl-32358198
ABSTRACT
Cortical network functioning critically depends on finely tuned interactions to afford neuronal activity propagation over long distances while avoiding runaway excitation. This importance is highlighted by the pathological consequences and impaired performance resulting from aberrant network excitability in psychiatric and neurological diseases, such as epilepsy. Theory and experiment suggest that the control of activity propagation by network interactions can be adequately described by a branching process. This hypothesis is partially supported by strong evidence for balanced spatiotemporal dynamics observed in the cerebral cortex; however, evidence of a causal relationship between network interactions and cortex activity, as predicted by a branching process, is missing in humans. Here this cause-effect relationship is tested by monitoring cortex activity under systematic pharmacological reduction of cortical network interactions with antiepileptic drugs. This study reports that cortical activity cascades, presented by the propagating patterns of epileptic spikes, as well as temporal correlations decline precisely as predicted for a branching process. The results provide a missing link to the branching process theory of cortical network function with implications for understanding the foundations of cortical excitability and its monitoring in conditions like epilepsy.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Corteza Cerebral / Anticonvulsivantes / Red Nerviosa Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2020 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Corteza Cerebral / Anticonvulsivantes / Red Nerviosa Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Año: 2020 Tipo del documento: Article