Effect of interictal epileptiform discharges on EEG-based functional connectivity networks |
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| Institution: | 1. Department of Biomedical Engineering, University of California, Irvine, CA, USA;2. Division of Neurology, Children’s Hospital Orange County, Orange, CA, USA;3. Department of Pediatrics, University of California, Irvine, CA, USA;1. University of California, Irvine, Biomedical Engineering, 3120 Natural Sciences II, University of California, Irvine, CA 92697, USA;2. University of California Irvine Medical Center, Neurology, 101 The City Drive South, Pavilion 1, Orange, CA 92868, USA;3. University of California, Irvine, Neurology, 101 The City Drive South, Building 22C, 2nd Floor, RT13, Orange, CA 92602, USA;4. University of California, Irvine, Biomedical Engineering, 3120 Natural Sciences II, University of California, Irvine, CA 92697, USA;1. Department of Radiology, National Center of Neurology and Psychiatry, Japan;2. Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Japan;3. Department of Neuropsychiatry, The University of Tokyo Hospital, Japan;4. Department of Psychiatry, National Center of Neurology and Psychiatry, Japan;5. Department of Neuroradiology, Tokyo Metropolitan Neurological Hospital, Japan;6. Integrative Brain Imaging Center, National Center of Neurology and Psychiatry, Japan;1. Department of Pediatrics, Children''s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA;2. Department of Neurology, Children''s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA;3. Department of Neurosurgery, Children''s Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA;4. Translational Neuroscience Program, Wayne State University, Detroit, MI 48202, USA;5. Department of Neurosurgery, Juntendo University, Tokyo 1138421, Japan;6. Department of Neurosurgery, Yokohama City University, Yokohama 2360004, Japan;7. Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai 9808575, Japan;1. Department of Research and Development, Academic Center for Epileptology, Kempenhaeghe & Maastricht UMC+, Heeze, The Netherlands;2. Department of Physics and Medical Technology, VU University Medical Center, Amsterdam, The Netherlands;3. Department of Clinical Physics, Academic Center for Epileptology, Kempenhaeghe & Maastricht UMC+, Heeze, The Netherlands;4. MR Neuro Imaging, Philips Healthcare, Best, The Netherlands;5. Department of Neurology, Academic Center for Epileptology, Kempenhaeghe & Maastricht UMC+, Heeze, The Netherlands;1. Centro Atómico Bariloche and Instituto Balseiro, Comisión Nacional de Energía Atómica (CNEA), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Universidad Nacional de Cuyo (UNCUYO), Av. E. Bustillo 9500, R8402AGP San Carlos de Bariloche, Río Negro, Argentina;2. Neurosciences and Complex Systems Unit (EnyS), El Cruce “N. Kirchner” Hosp., UNAJ, Epilepsy Center, “R. Mejía” Hosp., Faculty of Medicine, UBA, CONICET, Argentina;1. Department of Pediatrics, Children’s Hospital of Michigan, Wayne State University, Detroit, MI, 48201, USA;2. Department of Neurology, Children’s Hospital of Michigan, Wayne State University, Detroit, MI, 48201, USA;3. Translational Neuroscience Program, Wayne State University, Detroit, MI, 48201, USA;4. Department of Neurological Surgery, Wakayama Medical University, Wakayama-shi, 6418509, Japan |
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| Abstract: | ObjectiveFunctional connectivity networks (FCNs) based on interictal electroencephalography (EEG) can identify pathological brain networks associated with epilepsy. FCNs are altered by interictal epileptiform discharges (IEDs), but it is unknown whether this is due to the morphology of the IED or the underlying pathological activity. Therefore, we characterized the impact of IEDs on the FCN through simulations and EEG analysis.MethodsWe introduced simulated IEDs to sleep EEG recordings of eight healthy controls and analyzed the effect of IED amplitude and rate on the FCN. We then generated FCNs based on epochs with and without IEDs and compared them to the analogous FCNs from eight subjects with infantile spasms (IS), based on 1340 visually marked IEDs. Differences in network structure and strength were assessed.ResultsIEDs in IS subjects caused increased connectivity strength but no change in network structure. In controls, simulated IEDs with physiological amplitudes and rates did not alter network strength or structure.ConclusionsIncreases in connectivity strength in IS subjects are not artifacts caused by the interictal spike waveform and may be related to the underlying pathophysiology of IS.SignificanceDynamic changes in EEG-based FCNs during IEDs may be valuable for identification of pathological networks associated with epilepsy. |
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| Keywords: | Epilepsy Infantile spasms Electroencephalography Functional connectivity Interictal epileptiform discharges Brain mapping |
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