activity
19992016
most citedA Robust Method for Detecting Interdependences: Application to Intracranially Recorded EEG

439 citations · 771 across the 6 of their papers we have counts for

collaborators

6 papers

q-bio.NC2016

Measuring directed interactions using cellular neural networks with complex connection topologies

Henning Dickten, Christian E. Elger, Klaus Lehnertz

We advance our approach of analyzing the dynamics of interacting complex systems with the nonlinear dynamics of interacting nonlinear elements. We replace the widely used lattice-l…

q-bio.NC2016

Bursting and Synchrony in Networks of Model Neurons

Christian Geier, Alexander Rothkegel, Christian E. Elger +1

Bursting neurons are considered to be a potential cause of over-excitability and seizure susceptibility. The functional influence of these neurons in extended epileptic networks is…

q-bio.NC2016★ 1 cited

On the Centrality of the Focus in Human Epileptic Brain Networks

Christian Geier, Marie-Therese Kuhnert, Christian E. Elger +1

There is increasing evidence for specific cortical and subcortical large-scale human epileptic networks to be involved in the generation, spread, and termination of not only primar…

q-bio.NC2014★ 66 cited

How important is the seizure onset zone for seizure dynamics?

Christian Geier, Stephan Bialonski, Christian E. Elger +1

Purpose: Research into epileptic networks has recently allowed deeper insights into the epileptic process. Here we investigated the importance of individual network nodes for seizu…

q-bio.NC2013★ 265 cited

Evolving functional network properties and synchronizability during human epileptic seizures

Kaspar A. Schindler, Stephan Bialonski, Marie-Therese Horstmann +2

We assess electrical brain dynamics before, during, and after one-hundred human epileptic seizures with different anatomical onset locations by statistical and spectral properties…

chao-dyn1999★ 439 cited

A Robust Method for Detecting Interdependences: Application to Intracranially Recorded EEG

J. Arnhold, P. Grassberger, K. Lehnertz +1

We present a measure for characterizing statistical relationships between two time sequences. In contrast to commonly used measures like cross-correlations, coherence and mutual in…