Neuronal networks; Epilepsy; Electroencephalopraphy; functional MRI
Coito Ana, Genetti Melanie, Pittau Francesca, Iannotti Giannina R, Thomschewski Aljoscha, Höller Yvonne, Trinka Eugen, Wiest Roland, Seeck Margitta, Michel Christoph M, Plomp Gijs, Vulliemoz Serge (2016), Altered directed functional connectivity in temporal lobe epilepsy in the absence of interictal spikes: A high density EEG study., in Epilepsia
, 57(3), 402-11.
Coan Ana C, Chaudhary Umair J, Frédéric Grouiller Umair J, Campos Brunno M, Perani Suejen, De Ciantis Alessio, Vulliemoz Serge, Diehl Beate, Beltramini Guilherme C, Carmichael David W, Thornton Rachel C, Covolan Roberto J, Cendes Fernando, Lemieux Louis (2016), EEG-fMRI in the presurgical evaluation of temporal lobe epilepsy., in Journal of neurology, neurosurgery, and psychiatry
, 87(6), 642-9.
Iannotti Giannina R, Grouiller Frédéric, Centeno Maria, Carmichael David W, Abela Eugenio, Wiest Roland, Korff Christian, Seeck Margitta, Michel Christoph, Pittau Francesca, Vulliemoz Serge (2016), Epileptic networks are strongly connected with and without the effects of interictal discharges., in Epilepsia
, 57(7), 1086-96.
Chaudhary Umair J, Centeno Maria, Thornton Rachel C, Rodionov Roman, Vulliemoz Serge, McEvoy Andrew W, Diehl Beate, Walker Matthew C, Duncan John S, Carmichael David W, Lemieux Louis (2016), Mapping human preictal and ictal haemodynamic networks using simultaneous intracranial EEG-fMRI., in NeuroImage. Clinical
, 11, 486-93.
Centeno Maria, Tierney Tim M, Perani Suejen, Shamshiri Elhum A, StPier Kelly, Wilkinson Charlotte, Konn Daniel, Banks Tina, Vulliemoz Serge, Lemieux Louis, Pressler Ronit M, Clark Christopher A, Cross J Helen, Carmichael David W (2016), Optimising EEG-fMRI for Localisation of Focal Epilepsy in Children., in PloS one
, 11(2), 0149048-0149048.
Grouiller Frédéric, Jorge João, Pittau Francesca, van der Zwaag Wietske, Iannotti Giannina Rita, Michel Christoph Martin, Vulliémoz Serge, Vargas Maria Isabel, Lazeyras François (2016), Presurgical brain mapping in epilepsy using simultaneous EEG and functional MRI at ultra-high field: feasibility and first results., in Magma (New York, N.Y.)
, 29(3), 605-16.
Lascano Agustina M, Perneger Thomas, Vulliemoz Serge, Spinelli Laurent, Garibotto Valentina, Korff Christian M, Vargas Maria I, Michel Christoph M, Seeck Margitta (2016), Yield of MRI, high-density electric source imaging (HD-ESI), SPECT and PET in epilepsy surgery candidates., in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiol
, 127(1), 150-5.
Grouiller Frédéric, Delattre Bénédicte M A, Pittau Francesca, Heinzer Susanne, Lazeyras François, Spinelli Laurent, Iannotti Giannina R, Seeck Margitta, Ratib Osman, Vargas Maria I, Garibotto Valentina, Vulliemoz Serge (2015), All-in-one interictal presurgical imaging in patients with epilepsy: single-session EEG/PET/(f)MRI., in European journal of nuclear medicine and molecular imaging
, 42(7), 1133-43.
Coito Ana, Plomp Gijs, Genetti Mélanie, Abela Eugenio, Wiest Roland, Seeck Margitta, Michel Christoph M, Vulliemoz Serge (2015), Dynamic directed interictal connectivity in left and right temporal lobe epilepsy., in Epilepsia
, 56(2), 207-17.
Pittau Francesca, Mégevand Pierre, Sheybani Laurent, Abela Eugenio, Grouiller Frédéric, Spinelli Laurent, Michel Christoph M, Seeck Margitta, Vulliemoz Serge (2015), Mapping epileptic activity: sources or networks for the clinicians?, in Frontiers in neurology
, 5, 218-218.
Iannotti Giannina R, Pittau Francesca, Michel Christoph M, Vulliemoz Serge, Grouiller Frédéric (2015), Pulse artifact detection in simultaneous EEG-fMRI recording based on EEG map topography., in Brain topography
, 28(1), 21-32.
Lemkaddem Alia, Daducci Alessandro, Kunz Nicolas, Lazeyras François, Seeck Margitta, Thiran Jean-Philippe, Vulliémoz Serge (2014), Connectivity and tissue microstructural alterations in right and left temporal lobe epilepsy revealed by diffusion spectrum imaging., in NeuroImage. Clinical
, 5, 349-58.
Custo Anna, Vulliemoz Serge, Grouiller Frederic, Van De Ville Dimitri, Michel Christoph (2014), EEG source imaging of brain states using spatiotemporal regression., in NeuroImage
, 96, 106-16.
Mégevand Pierre, Spinelli Laurent, Genetti Mélanie, Brodbeck Verena, Momjian Shahan, Schaller Karl, Michel Christoph M, Vulliemoz Serge, Seeck Margitta (2014), Electric source imaging of interictal activity accurately localises the seizure onset zone., in Journal of neurology, neurosurgery, and psychiatry
, 85(1), 38-43.
Pittau Francesca, Vulliemoz Serge (2014), Functional brain networks in epilepsy: recent advances in noninvasive mapping., in Current opinion in neurology
, 28(4), 338-43.
Birot Gwénael, Spinelli Laurent, Vulliémoz Serge, Mégevand Pierre, Brunet Denis, Seeck Margitta, Michel Christoph M (2014), Head model and electrical source imaging: a study of 38 epileptic patients., in NeuroImage. Clinical
, 5, 77-83.
Kargiotis Odysseas, Lascano Agustina M, Garibotto Valentina, Spinelli Laurent, Genetti Melanie, Wissmeyer Michael, Korff Christian M, Momjian Shahan, Michel Christoph M, Seeck Margitta, Vulliemoz Serge (2014), Localization of the epileptogenic tuber with electric source imaging in patients with tuberous sclerosis., in Epilepsy research
, 108(2), 267-79.
Pittau Francesca, Grouiller Frédéric, Spinelli Laurent, Seeck Margitta, Michel Christoph M, Vulliemoz Serge (2014), The role of functional neuroimaging in pre-surgical epilepsy evaluation., in Frontiers in neurology
, 5, 31-31.
Caballero-Gaudes César, Van de Ville Dimitri, Grouiller Frédéric, Thornton Rachel, Lemieux Louis, Seeck Margitta, Lazeyras François, Vulliemoz Serge (2013), Mapping interictal epileptic discharges using mutual information between concurrent EEG and fMRI., in NeuroImage
, 68, 248-62.
The aim of this research project is to identify new electrophysiological bio-markers of interictal activity in patients with epilepsy. Cognitive impairment in patients with epilepsy is associated with interictal epileptiform discharges (spikes) on EEG but is also observed in patients without spikes and without brain lesion. This suggests that some interictal activity, yet undetected with scalp electrodes, is altering the functioning of physiological brain networks. Moreover, the neurovascular coupling between epileptic activity and haemodynamic (BOLD) changes in the brain, as measured with simultaneous EEG-fMRI, is still poorly understood, notably regarding BOLD changes starting before the detection of spikes and the presence of negative BOLD changes. Recent studies showed that EEG topography and EEG informed fMRI analysis In this project we propose 3 Workpackages for an in-depth characterization of the interictal state in patients with focal epilepsy using high density EEG, simultaneous EEG-fMRI and intracranial EEG:1)Temporal dynamics of the interictal state. We hypothesize that the analysis of scalp EEG topography will reveal previously undetected neuro-electric changes preceding the spikes. These effects might be related to the time of onset and sign of the spike-related BOLD changes and we will investigate the cortical correlates of such activity with simultaneous intracranial and scalp EEG.2)Interaction between epileptic activity and physiological networks. We hypothesize that combined analysis of epileptic and physiological EEG topography will improve the characterization of epileptic networks and the alteration in physiological networks, as mapped by simultaneous EEG-fMRI. We will investigate whether epileptic networks activity present coherent haemodynamic fluctuations beyond those associated with spikes. 3)Interictal brain connectivity. We hypothesize that functional brain connectivity estimated with high density scalp EEG will be altered in the epileptic network and that dynamic changes will be observed before and during the occurrence of spikes. These changes will be validated with connectivity measures applied to intracranial EEG recording and compared to fMRI connectivity measures in the same patients. The applicant and his collaborators have expertise in high density EEG and EEG-fMRI in epilepsy imaging. The identification of such bio-markers and invasive validation in patients with epilepsy will help solve major issues in epilepsy imaging and will be highly beneficial for the neuro-scientists who use these techniques in other applications. New interictal bio-markers might help monitor disease activity decide whether interictal activity justifies more aggressive treatment in order to minimize cognitive impairment.