Identifying brain network dysfunctions during epileptogenesis in a model of temporal lobe epilepsy

Abstract

Event Abstract Back to Event Identifying brain network dysfunctions during epileptogenesis in a model of temporal lobe epilepsy Daniele Bertoglio1, Halima Amhaoul1, Disha Shah2, Ryo Sakai3, Jeroen Verhaeghe4, Leonie Wyffels4, Steven Staelens4, Marleen Verhoye2, Annemie Van Der Linden2, Jan Aerts3 and Stefanie Dedeurwaerdere1* 1 University of Antwerp, Translational Neuroscience, Belgium 2 University of Antwerp,, Bio-Imaging Lab, Belgium 3 KU Leuven, Department of Electrical Engineering, Belgium 4 University of Antwerp, Molecular Imaging Center Antwerp, Belgium Introduction About 65 million people worldwide have epilepsy, of which half of the patients suffer from acquired forms. Post-traumatic epilepsy (PTE) often occurs following a latent period of months to years (epileptogenesis) as a consequence of a brain insult. Although this latent period clearly represents a therapeutic window, we have not been able to stratify patients at risk for developing PTE. The aim of this study is to determine network alterations associated with the process of epileptogenesis by means of translocator protein (TSPO) PET scans, a biomarker of neuroinflammation, in the kainic acid-induced status epilepticus (KASE) model. Methods 18F-PBR111 PET and T2 MRI scans from 8 control and 16 KASE rats acquired 2 weeks after Status Epilepticus (SE) (latent phase) were taken. Stratification between KASE animals without seizures (n=3) and with spontaneous seizures (n=10) was done by means of video-EEG recordings 3 months after SE (chronic phase). The PET ratio (r50′) was derived as previously validated1. In addition, correlation maps and brain networks were obtained from the TSPO PET r50′ data. Results 18F-PBR111 PET binding (r50′) in the individual volume of Interests (VOIs) 2 weeks post-SE was highly increased in KASE compared to control animals. In addition, some VOIs statistically differed between KASE animals with seizures and without. Finally, correlation maps and brain networks between PET brain regions differed between control, KASE without seizures, and KASE with seizures. Conclusions TSPO correlation maps and brain networks based on TSPO PET imaging showed promise for differentiating KASE animals, which developed epilepsy from those who did not and controls. In addition, we are studying more animals to further validate whether these approaches could be useful in identifying network dysfunctions that may lead to development of epilepsy. Keywords: 18F-PBR111, TSPO, Temporal Lobe Epilepsy (TLE), Kainic acid induced status epilepticus (KASE), Brain network analysis Conference: 11th National Congress of the Belgian Society for Neuroscience, Mons, Belgium, 22 May - 22 May, 2015. Presentation Type: Oral or Poster presentation Topic: Neuroscience Citation: Bertoglio D, Amhaoul H, Shah D, Sakai R, Verhaeghe J, Wyffels L, Staelens S, Verhoye M, Van Der Linden A, Aerts J and Dedeurwaerdere S (2015). Identifying brain network dysfunctions during epileptogenesis in a model of temporal lobe epilepsy. Front. Neurosci. Conference Abstract: 11th National Congress of the Belgian Society for Neuroscience. doi: 10.3389/conf.fnins.2015.89.00043 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 29 Apr 2015; Published Online: 05 May 2015. * Correspondence: Prof. Stefanie Dedeurwaerdere, University of Antwerp, Translational Neuroscience, Wilrijk, 2610, Belgium, stefanie.dedeurwaerdere@uantwerpen.be Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Daniele Bertoglio Halima Amhaoul Disha Shah Ryo Sakai Jeroen Verhaeghe Leonie Wyffels Steven Staelens Marleen Verhoye Annemie Van Der Linden Jan Aerts Stefanie Dedeurwaerdere Google Daniele Bertoglio Halima Amhaoul Disha Shah Ryo Sakai Jeroen Verhaeghe Leonie Wyffels Steven Staelens Marleen Verhoye Annemie Van Der Linden Jan Aerts Stefanie Dedeurwaerdere Google Scholar Daniele Bertoglio Halima Amhaoul Disha Shah Ryo Sakai Jeroen Verhaeghe Leonie Wyffels Steven Staelens Marleen Verhoye Annemie Van Der Linden Jan Aerts Stefanie Dedeurwaerdere PubMed Daniele Bertoglio Halima Amhaoul Disha Shah Ryo Sakai Jeroen Verhaeghe Leonie Wyffels Steven Staelens Marleen Verhoye Annemie Van Der Linden Jan Aerts Stefanie Dedeurwaerdere Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.