Event Abstract Back to Event Neuroimaging studies of connectivity in epileptic neural networks N. J. Thai1*, D. Brazzo1, P. L. Furlong1, 2 and S. Seri1, 2 1 MRI Research Unit, Aston Brain Centre, United Kingdom 2 Aston University , Wellcome trust laboratory for MEG studies, United Kingdom Aim: The recent theoretical shift towards understanding the brain in terms of neural network/systems in neuroimaging studies has provided a means towards understanding how these neural networks interact and underpin function in both the healthy and pathological brain. Here we report two case studies that demonstrate how the application of functional and effective connectivity analysis can enhance our understanding of epileptic neural networks. Methods: In the first case study we report on a presurgical patient with unilateral right hemisphere Periventricular Nodular Heterotopia (PNH) using fMRI for localisation of externally cued and internally generated finger movements, and compared the patient results with her twin sister. Functional interactions were computed with PPIs in SPM8. MEG data was collected for the patient for a total recording time of 1 hour to capture interictal MEG sharp waves, spikes and bursts of rhythmic activity. SAMg2 analysis was performed to identify the brain regions reaching statistical significance for the presence of increased kurtosis. In the second case study, simultaneous EEG and fMRI was recorded on a patient with Landau Kleffner Syndrome (LKS) to identify whether the brain regions showing interictal EEG epileptic spikes presented haemodynamic signal changes that correspond to the time course of the 3D source distribution of cortical activation during the focal EEG discharges. Effective connectivity was computed on the fMRI data with dynamic causal modeling in SPM8. Results: In the PNH patient, there were significant functional interactions between the heterotopic cortex, motor cortex and a right frontal region that was highly concordant with the MEG epileptogenic source localisation. In the LKS patient, results show high concordance between hemodynamic changes and EEG source localization. The connectivity analysis suggests a primary involvement of the superior temporal gyrus (STG) spreading to lateral frontal cortex associated with interictal spikes. Conclusion: In the first case study connectivity analysis identified an epileptic network which includes heterotopic and the irritative zone in the frontal areas. In the second case study, connectivity patterns suggest that the functional underpinnings of LKS syndrome is related to a widespread dysfunction which extends beyond the STG. Neuroimaging connectivity studies can provide valuable clinical insights into the epileptic neural networks underlying the syndrome. Acknowledgments: Dr. N. J. Thai was partly supported by The Birmingham Children's Hospital, MRI scan costs were supported by the Lord Dowding Fund for Humane Research and MEG scan costs were supported by the Dr. Hadwen Trust for Humane Research. Conference: NeuroMath COST Action BM0601: Neurodynamic Insight into Functional Connectivity, Cognition, and Consciousness, Dubrovnik, Croatia, 27 Mar - 28 Mar, 2010. Presentation Type: Poster Presentation Topic: Posters Citation: Thai NJ, Brazzo D, Furlong PL and Seri S (2010). Neuroimaging studies of connectivity in epileptic neural networks. Front. Neurosci. Conference Abstract: NeuroMath COST Action BM0601: Neurodynamic Insight into Functional Connectivity, Cognition, and Consciousness. doi: 10.3389/conf.fnins.2010.05.00031 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: 24 Jul 2010; Published Online: 24 Jul 2010. * Correspondence: N. J Thai, MRI Research Unit, Aston Brain Centre, Birmingham, United Kingdom, j.n.thai@aston.ac.uk 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 N. J Thai D. Brazzo P. L Furlong S. Seri Google N. J Thai D. Brazzo P. L Furlong S. Seri Google Scholar N. J Thai D. Brazzo P. L Furlong S. Seri PubMed N. J Thai D. Brazzo P. L Furlong S. Seri 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.
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