Posted By: NITRC ADMIN - Sep 9, 2012
Tool/Resource: Neuroinformatics - The Journal
 

Abstract  
Epileptic seizures are due to the pathological collective activity of large cellular assemblies. A better understanding of this collective activity is integral to the development of novel diagnostic and therapeutic procedures. In contrast to reductionist analyses, which focus solely on small-scale characteristics of ictogenesis, here we follow a systems-level approach, which combines both small-scale and larger-scale analyses. Peri-ictal dynamics of epileptic networks are assessed by studying correlation within and between different spatial scales of intracranial electroencephalographic recordings (iEEG) of a heterogeneous group of patients suffering from pharmaco-resistant epilepsy. Epileptiform activity as recorded by a single iEEG electrode is determined objectively by the signal derivative and then subjected to a multivariate analysis of correlation between all iEEG channels. We find that during seizure, synchrony increases on the smallest and largest spatial scales probed by iEEG. In addition, a dynamic reorganization of spatial correlation is observed on intermediate scales, which persists after seizure termination. It is proposed that this reorganization may indicate a balancing mechanism that decreases high local correlation. Our findings are consistent with the hypothesis that during epileptic seizures hypercorrelated and therefore functionally segregated brain areas are re-integrated into more collective brain dynamics. In addition, except for a special sub-group, a highly significant association is found between the location of ictal iEEG activity and the location of areas of relative decrease of localised EEG correlation. The latter could serve as a clinically important quantitative marker of the seizure onset zone (SOZ).

  • Content Type Journal Article
  • Category Original Article
  • Pages 1-15
  • DOI 10.1007/s12021-012-9161-2
  • Authors
    • Christian Rummel, Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
    • Marc Goodfellow, Systems Biology Doctoral Training Centre, Manchester Institute of Biotechnology, The University of Manchester, Manchester, UK
    • Heidemarie Gast, qEEG group, Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
    • Martinus Hauf, Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
    • Frédérique Amor, qEEG group, Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
    • Alexander Stibal, Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
    • Luigi Mariani, Department of Neurosurgery, Basel University Hospital, University of Basel, Basel, Switzerland
    • Roland Wiest, Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
    • Kaspar Schindler, qEEG group, Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland


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