| Literature DB >> 28923948 |
Tahra L Eissa1, Koen Dijkstra2, Christoph Brune3, Ronald G Emerson4, Michel J A M van Putten5,6, Robert R Goodman7, Guy M McKhann7, Catherine A Schevon4, Wim van Drongelen8, Stephan A van Gils3.
Abstract
Small-scale neuronal networks may impose widespread effects on large network dynamics. To unravel this relationship, we analyzed eight multiscale recordings of spontaneous seizures from four patients with epilepsy. During seizures, multiunit spike activity organizes into a submillimeter-sized wavefront, and this activity correlates significantly with low-frequency rhythms from electrocorticographic recordings across a 10-cm-sized neocortical network. Notably, this correlation effect is specific to the ictal wavefront and is absent interictally or from action potential activity outside the wavefront territory. To examine the multiscale interactions, we created a model using a multiscale, nonlinear system and found evidence for a dual role for feedforward inhibition in seizures: while inhibition at the wavefront fails, allowing seizure propagation, feedforward inhibition of the surrounding centimeter-scale networks is activated via long-range excitatory connections. Bifurcation analysis revealed that distinct dynamical pathways for seizure termination depend on the surrounding inhibition strength. Using our model, we found that the mesoscopic, local wavefront acts as the forcing term of the ictal process, while the macroscopic, centimeter-sized network modulates the oscillatory seizure activity.Entities:
Keywords: epilepsy; feedforward inhibition; multiscale interactions; nonlinear dynamics; seizures
Mesh:
Year: 2017 PMID: 28923948 PMCID: PMC5635869 DOI: 10.1073/pnas.1702490114
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 11.205