NITRC News Group Forum: a-systems-level-approach-to-human-epileptic-seizures

NITRC News Group Forum: a-systems-level-approach-to-human-epileptic-seizures http://www.nitrc.org/forum/forum.php?forum_id=3539 <div class="Abstract" lang="en"><a name="Abs1"></a>Abstract  <div class="normal">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). </div> </div><ul> <li>Content Type Journal Article</li><li>Category Original Article</li><li>Pages 1-15</li><li>DOI 10.1007/s12021-012-9161-2</li><li>Authors<ul> <li>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</li><li>Marc Goodfellow, Systems Biology Doctoral Training Centre, Manchester Institute of Biotechnology, The University of Manchester, Manchester, UK</li><li>Heidemarie Gast, qEEG group, Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland</li><li>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</li><li>Frédérique Amor, qEEG group, Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland</li><li>Alexander Stibal, Department of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland</li><li>Luigi Mariani, Department of Neurosurgery, Basel University Hospital, University of Basel, Basel, Switzerland</li><li>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</li><li>Kaspar Schindler, qEEG group, Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland</li> </ul></li> </ul><ul class="parents"> <ul class="details"> <li>Journal <a href="http://www.springerlink.com/content/120559/">Neuroinformatics</a></li><li>Online ISSN 1559-0089</li><li>Print ISSN 1539-2791</li> </ul> </ul> en-us Copyright 2000-2026 NITRC OSI Sun, 19 Apr 2026 20:18:57 GMT http://blogs.law.harvard.edu/tech/rss NITRC RSS generator