High density EEG; Connectivity; Epilepsy; EEG-fMRI; Neuromodulation
Vorderwülbecke Bernd J., Carboni Margherita, Tourbier Sebastien, Brunet Denis, Seeber Martin, Spinelli Laurent, Seeck Margitta, Vulliemoz Serge (2020), High-density Electric Source Imaging of interictal epileptic discharges: How many electrodes and which time point?, in
Clinical Neurophysiology, 131(12), 2795-2803.
van Mierlo Pieter, Vorderwülbecke Bernd J., Staljanssens Willeke, Seeck Margitta, Vulliémoz Serge (2020), Ictal EEG source localization in focal epilepsy: Review and future perspectives, in
Clinical Neurophysiology, 131(11), 2600-2616.
De Stefano Pia, Carboni Margherita, Pugin Deborah, Seeck Margitta, Vulliémoz Serge (2020), Brain networks involved in generalized periodic discharges (GPD) in post-anoxic-ischemic encephalopathy, in
Resuscitation, 155, 143-151.
De Stefano Pia, Vulliémoz Serge, Seeck Margitta, Mégevand Pierre (2020), Lateralized Rhythmic Delta Activity Synchronous with Hippocampal Epileptiform Discharges on Intracranial EEG, in
European Neurology, 83(2), 225-227.
Baldini Sara, Pittau Francesca, Birot Gwenael, Rochas Vincent, Tomescu Miralena I, Vulliémoz Serge, Seeck Margitta (2020), Detection of epileptic activity in presumably normal EEG, in
Brain Communications, 2(2).
Pugin D., Hofmeister J., Gasche Y., Vulliemoz S., Lövblad K.-O., Ville D. Van De, Haller S. (2020), Resting-State Brain Activity for Early Prediction Outcome in Postanoxic Patients in a Coma with Indeterminate Clinical Prognosis, in
American Journal of Neuroradiology, 41(6), 1022-1030.
Carboni Margherita, De Stefano Pia, Vorderwülbecke Bernd J., Tourbier Sebastien, Mullier Emeline, Rubega Maria, Momjian Shahan, Schaller Karl, Hagmann Patric, Seeck Margitta, Michel Christoph M., van Mierlo Pieter, Vulliemoz Serge (2020), Abnormal directed connectivity of resting state networks in focal epilepsy, in
NeuroImage: Clinical, 27, 102336-102336.
Baldini Sara, Coito Ana, Korff Christian M., Garibotto Valentina, Ndenghera Martin, Spinelli Laurent, Bartoli Andrea, Momjian Shahan, Schaller Karl, Seeck Margittta, Pittau Francesca, Vulliemoz Serge (2020), Localizing non-epileptiform abnormal brain function in children using high density EEG: Electric Source Imaging of focal slowing, in
Epilepsy Research, 159, 106245-106245.
Glomb Katharina, Mullier Emeline, Carboni Margherita, Rubega Maria, Iannotti Giannarita, Tourbier Sebastien, Seeber Martin, Vulliemoz Serge, Hagmann Patric (2020), Using structural connectivity to augment community structure in EEG functional connectivity, in
Network Neuroscience, 4(3), 761-787.
Toscano Gianpaolo, Carboni Margherita, Rubega Maria, Spinelli Laurent, Pittau Francesca, Bartoli Andrea, Momjian Shahan, Manni Raffaele, Terzaghi Michele, Vulliemoz Serge, Seeck Margitta (2020), Visual analysis of high density EEG: As good as electrical source imaging?, in
Clinical Neurophysiology Practice, 5, 16-22.
Carboni M., Rubega M., Iannotti G.R., De Stefano P., Toscano G., Tourbier S., Pittau F., Hagmann P., Momjian S., Schaller K., Seeck M., Michel C.M., van Mierlo P., Vulliemoz S. (2019), The network integration of epileptic activity in relation to surgical outcome, in
Clinical Neurophysiology, 130(12), 2193-2202.
Shamshiri Elhum A., Sheybani Laurent, Vulliemoz Serge (2019), The Role of EEG-fMRI in Studying Cognitive Network Alterations in Epilepsy, in
Frontiers in Neurology, 10, 1033.
Sveikata Lukas, Kavan Nicole, Pegna Alan J., Seeck Margitta, Assal Frederic, Momjian Shahan, Schaller Karl, Vulliemoz Serge (2019), Postoperative memory prognosis in temporal lobe epilepsy surgery: The contribution of postictal memory, in
Epilepsia, 60(8), 1639-1649.
van Mierlo Pieter, Höller Yvonne, Focke Niels K., Vulliemoz Serge (2019), Network Perspectives on Epilepsy Using EEG/MEG Source Connectivity, in
Frontiers in Neurology, 10, 721.
Rubega M., Carboni M., Seeber M., Pascucci D., Tourbier S., Toscano G., Van Mierlo P., Hagmann P., Plomp G., Vulliemoz S., Michel C. M. (2019), Estimating EEG Source Dipole Orientation Based on Singular-value Decomposition for Connectivity Analysis, in
Brain Topography, 32(4), 704-719.
Coito Ana, Biethahn Silke, Tepperberg Janina, Carboni Margherita, Roelcke Ulrich, SeeckMargitta, van MierloPieter, GschwindMarkus, VulliemozSerge (2019), Interictal epileptogenic zone localization in patients with focal epilepsy using electric source imaging and directed functional connectivity from low‐density EEG, in
Epilepsia Open, 4(2), 281-292.
Coito Ana, Michel Christoph M., Vulliemoz Serge, Plomp Gijs (2018), Directed functional connections underlying spontaneous brain activity, in
Human Brain Mapping, 40(3), 879-888.
van Mierlo Pieter, Lie Octavian, Staljanssens Willeke, Coito Ana, Vulliémoz Serge (2018), Influence of Time-Series Normalization, Number of Nodes, Connectivity and Graph Measure Selection on Seizure-Onset Zone Localization from Intracranial EEG, in
Brain Topography, 31(5), 753-766.
Vargas Maria Isabel, Martelli Pascal, Xin Lijing, Ipek Ozlem, Grouiller Frederic, Pittau Francesca, Trampel Robert, Gruetter Rolf, Vulliemoz Serge, Lazeyras Francois (2018), Clinical Neuroimaging Using 7 T MRI: Challenges and ProspectsClinical Use of 7 T MR in Neuroradiology, in
Journal of Neuroimaging, 28(1), 5-13.
Verhoeven Thibault, Coito Ana, Plomp Gijs, Thomschewski Aljoscha, Pittau Francesca, Trinka Eugen, Wiest Roland, Schaller Karl, Michel Christoph, Seeck Margitta, Dambre Joni, Vulliemoz Serge, van Mierlo Pieter (2018), Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes, in
NeuroImage: Clinical, 17, 10-15.
Staljanssens Willeke, Strobbe Gregor, Holen Roel Van, Birot Gwénaël, Gschwind Markus, Seeck Margitta, Vandenberghe Stefaan, Vulliémoz Serge, van Mierlo Pieter (2017), Seizure Onset Zone Localization from Ictal High-Density EEG in Refractory Focal Epilepsy, in
Brain Topography, 30(2), 257-271.
Staljanssens Willeke, Strobbe Gregor, Van Holen Roel, Keereman Vincent, Gadeyne Stefanie, Carrette Evelien, Meurs Alfred, Pittau Francesca, Momjian Shahan, Seeck Margitta, Boon Paul, Vandenberghe Stefaan, Vulliemoz Serge, Vonck Kristl, van Mierlo Pieter (2017), EEG source connectivity to localize the seizure onset zone in patients with drug resistant epilepsy, in
NeuroImage: Clinical, 16, 689-698.
Connectome dataset for the publication: EEG and fMRI connectomes are reliably related: a simultaneous EEG-fMRI study from 1.5 T to 7T.
| Author |
Wirsich, Jonathan |
| Publication date |
08.07.2020 |
| Persistent Identifier (PID) |
doi: 10.5281/zenodo.3905103 |
| Repository |
Zenodo
|
| Abstract |
EEG and connectivity matrices derived from resting state EEG-fMRI datasets of healthy controlsA related publication is available (Wirsich et al. 2020, BioRxiv, doi: 10.1101/2020.06.16.154625) and in revision in a peer review journal.
The aim of this research project is to investigate how brain networks are altered in patients suffering from focal epilepsy and how these alterations are affected by different treatment options such as resective surgery of the epileptic focus or chronic neuromodulation using deep brain electrical stimulation or vagal nerve stimulation. In this project, we will use non-invasive brain imaging techniques such as high-density EEG (hd-EEG) and simultaneous EEG and fMRI (EEG-fMRI) to characterize the patterns and strength of connections between brain regions and explore relationships between electrical and hemodynamic connectivity measures. Here, we propose 3 workpackages in patients with focal epilepsy using high-density EEG, simultaneous EEG-fMRI and simultaneous scalp and intracranial EEG. We will apply connectivity measures on patient recordings with and without detectable epileptic activity before and after treatment with resective surgery or neuromodulation, based on our techniques developed to investigate brain connectivity in the human brain using high-density EEG and EEG-fMRI. The role of these connectivity patterns for diagnostic (patient classification) and prognostic purposes (treatment response) will be tested. The better understanding of altered connectivity patterns in focal epilepsies and the way these patterns are influenced by respective surgery or electrical neuromodulation will advance our understanding of the variability of treatment response and post-surgical outcome. From a methodological point of view, the availability of invasive validation offered by clinical invasive recordings and post-operative follow-up is of crucial interest for the neuro-scientists using brain connectivity measures in other applications. New markers of brain dysfunction might help better monitor disease activity and tailor therapy.