Concordia University

http://www.concordia.ca/content/concordia/en/artsci/physics/research/grova-research-group.html

Grova Research Group

The Multimodal Functional Imaging Laboratory, directed by Dr. Christophe Grova, is a multidisciplinary team composed of neurologists and methodologists. The laboratory is actually based on two sites:
(i) Biomedical Engineering Dept and part of the epilepsy group of the Montreal Neurological Institute, McGill University
(ii) Physics Dept and PERFORM centre, Concordia University

We investigate multimodal data fusion to characterize brain mechanisms and especially epileptic activity. Our research project aims at developing methods to appropriately combine multimodal data in order to detect additional information that could be missed by considering each modality individually. A typical challenge is to combine modalities directly measuring neuronal activity with high temporal resolution with other modalities indirectly measuring the same function with high spatial resolution, through hemodynamic processes for instance. The project will involve the integration of three promising functional modalities:

  1. Simultaneous ElectroEncephaloGraphy (EEG) - MagnetoEncephaloGraphy (MEG) acquisitions, measuring directly on the scalp electric and magnetic components of signals generated by neurons synchronously active (at a ms scale).

  2. Simultaneous EEG - functional Magnetic Resonance Imaging (fMRI) acquisitions to measure, within the whole brain at a second scale, hemodynamic responses that correlate with signals detected on scalp EEG.

  3. Simultaneous EEG - Near InfraRed Spectroscopy (NIRS) acquisitions to measure local changes in oxy- and deoxy-hemoglobin at the time of signals detected on scalp EEG, by exploiting absorption properties of infrared light within brain tissues using optic fibres placed on the surface of the head. Note that our EEG/NIRS laboratory is located in Biomedical Engineering dpt and easily accessible from the McConnell Brain Imaging Centre.

The principal clinical application of this project will be to combine these three modalities using multimodal data fusion techniques to characterize brain regions involved during epileptic activity.  

Multi FunkIm Research

Using cutting-edge non invasive methods involving simultaneous EEG/MEG, EEG/fMRI and EEG/NIRS recordings, our objectives consist in proposing:

Theme 1: EEG/MEG source localization:

We propose methodology to localize along the cortical surface, electrophysiology data obtained at a millisecond time scale from scalp recordings. This results in solving the so-called inverse problem of source localization. Our main goal consists in the developpment of Maximum Entropy on the Mean (MEM) source localization, in the context of EEG source imaging, MEG source imaging and also EEG/MEG fusion, as the only distributed source localization method able to recover the spatial extent of the underlying generators.

This video shows the steps and the results of Electroencephalography (EEG) source localization for a visual half field paradigm. EEG is a technique that measures the neuronal activity in the brain using electrodes that are pasted on the scalp. It can measure brain signals at every millisecond, however, without advanced mathematical and physical tools it could not provide 3-dimensional (3D) information on the brain. Our research involves fusing the EEG signals -measured with a high-density EEG system (256 electrodes, EGI)- with the 3D anatomical information of the brain, obtained with Magnetic Resonance Imaging, to localize the neuronal activity on the cortex.

Complete multimodal investigation involving MEG source localization, fMRI response and intra-cranial EEG investigation.

Theme 2: Volumetric NIRS:

Spatio-temporal reconstruction of oxy-hemoglobin (HbO) and deoxy-hemoglobin (HbR) responses. We propose a strategy from EEG/NIRS data acquisition, signal detection to volumetric reconstruction to demonstrate the ability of NIRS to localize, in space and in time, fluctuations of HbR and HbO.

Frontal NIRS montage used for a working memory experiment

Frontal NIRS montage used for a working memory experiment where optodes are depicted as spheres, with green ones being detectors and red ones emitters. A transparent template head mesh is shown in dark grey, as well as a template cortex in light grey. Finally, an atlas of the pre-frontal cortex is depicted in purple (superior prefrontal), blue (transversal frontal) and green (orbito-frontal).

Coritcal reconstruction of the variations of oxy (HbO) and deoxy (HbR) hemoglobin concentrations,

Coritcal reconstruction of the variations of oxy (HbO) and deoxy (HbR) hemoglobin concentrations, evoked by the visualization of flashing checkerboards. The map on the top left depicts the optimal montage placed on the primary visual cortex. The bottom pictures show reconstructed maps of the maximum evoked HbO and HbR variations. The graph with the time courses shows the temporal hemodynamics variations, evoked by the visual stimulations.

Theme 3: Multimodal characterization of Neurovascular Coupling (NVC) during normal and pathological conditions

using: (i) EEG/MEG sources to model neuronal bioelectrical input, (ii) fMRI and NIRS data to monitor brain hemodynamic response. NVC is the main principle allowing indirect measurement of brain activity (in fMRI, NIRS or Positron Emission Tomography) exploiting processes linking neuronal activity and brain vascular response. However, these processes are not well-known, especially in pathological conditions. Our objective is to combine multimodal non-invasive data to shed light on NVC processes.

Analysis of functional Near-InfraRed Spectroscopy (fNIRS) data acquired during a motor experiment

Analysis of functional Near-InfraRed Spectroscopy (fNIRS) data acquired during a motor experiment. fNIRS is a technique that measures brain activity through the absorption of near infrared light by the cerebral hemoglobin (Hb). Hb concentration indeed varies locally when there is local neuronal activity. This is the so-called neuro-vascular coupling. The curves on the right show the variations of concentration of oxy- (red) and deoxy- (blue) hemoglobin evoked by a finger tapping task. On the left part, the amplitudes of these variations are displayed, mapped onto each measurement pair of optodes.

Multimodal view of a NIRS occipital montage

Multimodal view of a NIRS occipital montage. The head mesh segmented from the anatomical MRI is shown as a grey wireframe. Slices of the subject’s anatomy are shown in greyscale. The NIRS optode placement is depicted as spheres, with green ones being detectors and red ones emitters.

Theme 4: Multimodal functional connectivity (FC) characterizing resting state data in normal and pathological conditions:

While resting state fMRI data have exhibited regions showing distant correlations at low frequency (<0.05Hz) organized as connected networks, the consistent Resting State Networks (RSN), our objective is to combine multimodal data to identify EEG/MEG signatures that would explain such network organization and to characterize pathological networks at the individual level, as potential disease biomarkers.

 organization of brain networks studied using the blood oxygen-level dependent (BOLD) signals

The organization of brain networks can be studied using the blood oxygen-level dependent (BOLD) signals measured using functional magnetic resonance imaging (fMRI) when a subject is not performing an explicit task (resting-state). We proposed a method called SParsity-based Analysis of Reliable K-hubness (SPARK) to model and estimate “hubs” of functional networks by measuring K-hubness in each voxel with good reliability of the estimation at the individual level. Hubs are defined as voxels that are involved in multiple (a sparse number K>1) networks, promoting inter-network connectivity and global communication that are related to higher-level brain functions.

Joint acquisition of electroencephalography (EEG) and functional Magnetic Resonance Imaging (MRI)

Joint acquisition of electroencephalography (EEG) and functional Magnetic Resonance Imaging (MRI). A high density EEG cap is placed on the participant’s head before he enters the MRI scanner in the back.

Multi Funklm Members

Faculty

Grova_Christophe

Christophe Grova, Ph.D.
PC-2.147
(514) 848-2424 ext. 4221
christophe.grova@concordia.ca

Collaborators

Dr.Jean Gotman

Jean Gotman, Ph.D
Phone: (514) 398–1953
Fax: (514) 398–8106
Email: jean.gotman@mcgill.ca

Dr. Eliane Kobayashi

Eliane Kobayashi, MD., Ph.D.
Phone: (514) 398 6644, ext 00469
Fax: 514–398–8106
eliane.kobayashi@mcgill.ca

Jean-Marc Lina

Jean-Marc Lina, Ph.D.
Phone: (514) 396–8688
Emai: Jean-Marc.Lina@etsmtl.com

Pierre Bellec

Pierre Bellec, Ph.D.
Phone: (514) 340 3540 ext.3367
Fax: (514) 340 3530
Email: pierre.bellec@criugm.qc.ca

Research Associates

Thomas Vincent

Thomas Vincent, PhD
Phone: (514) 398–1678
Fax: (514) 398–7461
Email:thomas.tv.vincent@gmail.com

Post-Doctoral Fellow

Ümit Aydin

Ümit Aydin, PhD
Phone: (514) 398–1678
Fax (514) 398–7461
Emai: umit.aydin@concordia.ca

Ph.D. Candidates

Kangjoo Lee

Kangjoo Lee
Phone: (514) 398–1678
Fax: (514) 398–7461
Email: kangjoo.lee@mail.mcgill.ca, kangjoo@bic.mni.mcgill.ca

Tanguy Hedrich

Tanguy Hedrich
Phone: (514) 398–1678
Fax: (514) 398–7461
Email: tanguy.hedrich@gmail.com

Zhengchen Cai

Zhengchen Cai
Phone: (514) 991–9393
Email: zhengchen.cai@gmail.com

Obaï Bin Ka’b Ali
Emai: ali.obai.b.k@gmail.com

Fatemeh Razavipour

Fatemeh Razavipour
Email: f.razavipoor@gmail.com

M.Sc Students

Aude Jegou

Amanda Spilkin
Email: amandaspilkin@hotmail.com

Alumni & Former Fellows

Visiting Professors

Postdoctoral Fellows

  • Giovanni Pellegrino, M.D., November 2013- Sept 2016
    • Supervisor at McGill: C. Grova
    • Biomedical Engineering Dpt, McGill
    • Project:Epilepsy in EEG/MEG/NIRS
  • Vera Gramigna, Ph.D., March 2015- Sept 2015
    • Supervisor at McGill: C. Grova
    • Scientific grant supervisor in Italy: Prof. Aldo Quattrone; Supervisor in Italy: Prof. Antonio Cerasa
    • Biomedical Engineering Dpt, McGill
    • Project: Multimodal Neuroimaging Correlates of Motor Disorders
  • Marcel Heers, MD., Sept 2012- Sept 2013
    • Supervisor:E Kobayashi MNI/ Co-supervisor: C. Grova
    • Montreal Neurological Institute
    • Project: Correlation between MEG sources and EEG/fMRI responses of epileptic discharges
  • Dominique Rosenberg, MD., July 2010- July 2011
    • Supervisor:E Kobayashi MNI/ Co-supervisor: C. Grova
    • Montreal Neurological Institute
    • Project: EEG/NIRS simultaneous recording in patients with epilepsy

PhD Students

  • Alexis Machado, -August 2017
    • Supervisor: Christophe Grova
    • Ph.D., Department of Biomedical Engineering , McGill University
    • Project: Simultaneous recordings of EEG/fNIRS to characterize the neurovascular coupling in cortical regions at the time of spontaneous epileptic discharges detected using EEG
  • Rasheda Arman Chowdhury, -March 2017
    • Supervisor: Christophe Grova
    • Ph.D., Department of Biomedical Engineering , McGill University
    • Project: MEG/EEG fusion source localization of epileptic spikes
  • Mona Maneshi, Sept 2010- Sept 2014
    • Supervisor:Jean Gotman / Co-supervisor: Christophe Grova
    • Ph.D., Department of Biomedical Engineering , McGill University
    • Montreal Neurological Institute
    • Project: The application of functional connectivity in epilepsy

Masters Students

  • Aude Jegou, December 2016- May 2018
    • Supervisor: C. Grova
    • Co-supervisor: Thien Thanh Dang-Vu
    • Projeect: Automatic spindle detection from EEG
  • Atousa Asadi, Sept 2014- Sept 2016
    • Supervisor: T. Milner McGill
    • Co-supervisor: C. Grova
    • Projeect: fMRI functional connectivity during motor learning
  • Christian Langlois Dansereau, Sept 2009- May 2012
    • Supervisor: C. Grova/ Co-Supervisor: J. Gotman MNI
    • M. Sc, Biomedical Engineering Dpt, McGill University
    • Project: Detection of abnormal resting state networks in epileptic patients.
    • Currently a PhD student at University of Montreal

Summer Students / Internships

  • Amanda Spilkin, May 2016-August 2016
    • Undergraduate summer student
    • Project: functional Near Infrared Spectroscopy (fNIRS)
  • Romain Lagneau, June 2016-August 2016
    • Undergraduate summer student
    • Project: source localization of ongoing brain activity recorded during resting state
  • Constance Fourcade, April 2016-July 2016 (4 months)
    • Undergraduate summer student
    • Ecole Centrale de Nantes in France, Second year
    • Project title: Removal of physiological artefact components in SParsity-based Analysis of Reliable K-hubness (SPARK) in resting-state fMRI
  • Marie Theiß, April 2016-June 2016 (3 months)
    • Graduate summer student
    • Westphalian University of Applied Sciences, the last year of her master studies
    • Project title: Accuracy of MRI/EEG coregistration using surface fitting approaches.
  • Benoit Auclair, May 2012-August 2012 (4 months)
    • Undergraduate summer student
    • Department of Biomedical Engineering at Polytechnique Montréal
    • Project title:Removal of physiological artefacts in Near-Infrared Spectroscopy (NIRS) using external measurements
  • Aude Petitjean, January 2013-March 2013 (3 months)
    • Undergraduate summer student
    • BS, Institut Supérieur d’Ingénieurs de Franche-comté (ISIFC), Department of Biomedical engineering, France
    • Project title: Evaluation of the Brainsight Near-Infrared Spectroscopy (NIRS) prototype
  • Lia Asquini, January 2012-February 2012 (2 months)
    • Undergratduate summer student
    • Department of Biomedical Engineering at McGill University
    • Project title: EEG/NIRS during median nerve stimulation
  • Julien Beaudry, September 2011-October 2011 (2 months)
    • Undergraduate summer student
    • Department of Biomedical Engineering at McGill University
    • Project title: Removal of dental artefact in MEG
  • Ziad Hamzeh, May 2011-August 2011 (4 months)
    • Undergraduate summer student
    • Ecole Polytechnique Montreal
    • Project title: EEG/NIRS during finger tapping
  • Aymeric Blanc, April 2011-July 2011 (4 months)
    • Undergraduate summer student
    • Ecole Polytechnique France
    • Project title: Implementation of neural mass model to simulate epileptic paroxistic activity
  • Yann Potiez, August 2009-August 2010 (1 year)
    • Research assistant
    • Department of Biomedical Engineering at McGill University
    • Project title: Realistic forward model for EEG and MEG

 

Diapositiva 1

Multi FunkIm EEG/NIRS Laboratory

Our EEG/NIRS laboratory equipped with a 64 channels EEG device (Stellate) and a 32×32 Brainsight NIRS device (Rogue-Research Inc.) as well as all the needed equipment to set up experiments (e-prime, Digitimer electric stimulator, TMS). The laboratory is located in Biomedical Engineering Dpt, in room 332 of the Lyman Duff Building, easily accessible from the BIC. Please contact us if interested in new collaborations involving this device.

Location:332 Duff Medical Building, 3775 rue University, Montreal, QC, H3A 2B4, Canada  

Articles in Peer-Reviewed Journals

2018

 

Lee, K. et al. Disruption, emergence and lateralization of brain network hubs in mesial temporal lobe epilepsy. NeuroImage: Clinical (2018).

Chowdhury, R. A. et al. Reproducibility of EEG-MEG fusion source analysis of interictal spikes: Relevance in presurgical evaluation of epilepsy. Human Brain Mapping 39, 880–901 (2018).

Pellegrino, G. et al. Clinical yield of magnetoencephalography distributed source imaging in epilepsy: A comparison with equivalent current dipole method. Human Brain Mapping 39, 218–231 (2018).

2017

T Hedrich, G Pellegrino, E Kobayashi, JM Lina, C Grova, Comparison of the spatial resolution of source imaging techniques in high-density EEG and MEG, Neuroimage, June 2017 (In Press)

Ü Aydin, S Rampp, A Wollbrink, H Kugel, J-H Cho, TR Knösche, C Grova, J Wellmer, CH Wolters, Zoomed MRI Guided by Combined EEG/MEG Source Analysis: A Multimodal Approach for Optimizing Presurgical Epilepsy Work-up and its Application in a Multi-focal Epilepsy Patient Case Study, Brain Topography (2017) doi:10.1007/s10548–017–0568–9

Vasta, R. et al. The movement time analyser task investigated with functional near infrared spectroscopy: an ecologic approach for measuring hemodynamic response in the motor system. Aging Clin Exp Res 29, 311–318 (2017).

2016

Maneshi M, Vahdat S, Gotman J and Grova C (2016). Validation of Shared and Specific Independent Component Analysis (SSICA) for between-group comparisons in fMRI. Front. Neurosci. 10:417. doi: 10.3389/fnins.2016.00417

R.A. Chowdhury, I. Merlet, G. Birot, E. Kobayashi, A. Nica, A. Biraben, F. Wendling, J.M. Lina, L. Albera, C. Grova , Complex patterns of spatially extended generators of epileptic activity: Comparison of source localization methods cMEM and 4-ExSo-MUSIC on High Resolution EEG and MEG data, Neuroimage, August 2016 (In Press)

Roberta Vasta, Antonio Cerasa, Vera Gramigna, Antonio Augimeri, Giuseppe Olivadese, Giovanni Pellegrino, Iolanda Martino, Alexis Machado, Zhengchen Cai, Manuela Caracciolo, Christophe Grova, Aldo Quattrone, “The movement time analyser task investigated with functional near infrared spectroscopy: an ecologic approach for measuring hemodynamic response in the motor system”, Aging Clinical and Experimental Research (2016), doi:10.1007/s40520–016–0566-x

Giovanni Pellegrino, Tanguy Hedrich, Rasheda Chowdhury, Jeffery A Hall, Jean‐Marc Lina, Francois Dubeau, Eliane Kobayashi, Christophe Grova, “Source localization of the seizure onset zone from ictal EEG/MEG data”, Hum. Brain Mapp. (2016) doi: 10.1002/hbm.23191

Kangjoo Lee, Jean-Marc Lina, Jean Gotman and Christophe Grova, “SPARK: Sparsity-based analysis of reliable k-hubness and overlapping network structure in brain functional connectivity”, Neuroimage, vol. 134, pp. 434–449, April 2016

Christophe Grova, Maria Aiguabella, Rina Zelmann, Jean‐Marc Lina, Jeffery A Hall, Eliane Kobayashi “Intracranial EEG potentials estimated from MEG sources: A new approach to correlate MEG and iEEG data in epilepsy”, Human Brain Mapping, Volume 37, Issue 5, pages 1661–1683, May 2016

Nicolás von Ellenrieder, Giovanni Pellegrino, Tanguy Hedrich, Jean Gotman, Jean-Marc Lina, Christophe Grova, Eliane Kobayashi ‘“Detection and Magnetic Source Imaging of Fast Oscillations (40–160 Hz) Recorded with Magnetoencephalography in Focal Epilepsy Patients”, Brain Topography March 2016, Volume 29, Issue 2, pp 218–231

Giovanni Pellegrino, Alexis Machado, Nicolas von Ellenrieder, Satsuki Watanabe, Jeffery A Hall, Jean-Marc Lina, Eliane Kobayashi, Christophe Grova “Hemodynamic response to Interictal Epileptiform Discharges addressed by personalized EEG-fNIRS recordings”, Front. Neurotic., 2016 doi: 10.3389/fnins.2016.00102

2015

Chowdhury R. A., Zerouali Y., Hedrich T., Heers M., Kobayashi E., Lina J.M., Grova C. “MEG–EEG Information Fusion and Electromagnetic Source Imaging: From Theory to Clinical Application in Epilepsy”, Brain Topography, 2015 May 28, DOI: 10.1007/s10548–015–0437–3

Heers M., Chowdhury R.A., Hedrich T., Dubeau F., Hall J. A., Lina J.M., Grova C., Kobayashi E., “Localization Accuracy of Distributed Inverse Solutions for Electric and Magnetic Source Imaging of Interictal Epileptic Discharges in Patients with Focal Epilepsy”, Brain Topography, 2015 Jan 22; DOI: 10.1007/s10548–014–0423–1 [Epub ahead of print]

2014

Dansereau C, Bellec P, Lee K, Pittau F, Gotman J and Grova C (2014). “Detection of Abnormal Resting-state Networks in Individual Patients Suffering from Focal Epilepsy: An Initial Step toward Individual Connectivity Assessment”. Front. Neurosci. 8:419. doi: 10.3389/fnins.2014.00419

M Maneshi, S Vahdat, F Fahoum, C Grova, J Gotman, “Specific Resting-state Brain Networks in Mesial Temporal Lobe Epilepsy”,Frontiers in Neurology, 2014; 5(127)

Heers, M., Hedrich, T., An, D., Dubeau, F., Gotman, J., Grova, C. and Kobayashi, E., “Spatial correlation of hemodynamic changes related to interictal epileptic discharges with electric and magnetic source imaging”, Hum. Brain Mapp., 2014; doi: 10.1002/hbm.22482

Machado A, Marcotte O, Lina J, Kobayashi E, Grova C; “Optimal optode montage on electroencephalography/functional near-infrared spectroscopy caps dedicated to study epileptic discharges”, J. Biomed. Opt., 2014; 0001;19(2):026010.

2013

Chowdhury R.A., Lina J.M., Kobayashi E. and Grova C., “MEG Source Localization of Spatially Extended Generators of Epileptic Activity: Comparing Entropic and Hierarchical Bayesian Approaches”, PloS ONE, 2013;8(2):e55969

2012

Maneshi M., Moeller F., Gotman J. and Grova C., Resting-State Connectivity of the Sustained Attention Network Correlates with Disease Duration in Idiopathic Generalized Epilepsy”, PloS ONE 2012;7(12):e50359

Vahdat S., Maneshi M., Grova C., Gotman J. and Milner T., “Shared and Specific Independent Components Analysis for Between-Group Comparison”, Neural Computation 2012: 24(11):3052–90

Lina, J.M., Chowdhury, R.A., Lemay, E., Kobayashi, E., Grova, C, “Wavelet-Based Localization of Oscillatory Sources from Magnetoencephalography Data”, IEEE Trans. Biomed. Eng. 2012: Mar 6. [Epub ahead of print] vol.61, no.8, pp.2350,2364, Aug. 2014

Pittau F., Grova C., Moeller F., Dubeau F. and Gotman J, “Patterns of Altered Functional Connectivity in Mesial Temporal Lobe Epilepsy”, Epilepsia 2012: 53(6):1013–23

2011

Machado A., Lina J.M., Tremblay J., Lassonde M., Nguyen D.K., Lesage F. and Grova C, “Detection of Hemodynamic Responses to Epileptic Activity using Simultaneous Electro-EncephaloGraphy (EEG)/Near Infra Red Spectroscopy (NIRS) Acquisitions”, Neuroimage, 2011:56(1):114–25

Moeller F., Maneshi M., Gholipour T., Pittau F., Bellec P., Dubeau F., Grova C. and Gotman J., “Functional Connectivity in Patients with Idiopathic Generalized Epilepsy”, Epilepsia, 2011: 52(3):515–22

2009

Kobayashi E., Grova C., Tyvaert L., Dubeau F. and Gotman J, “Structures Involved at the Time of Temporal Lobe Spikes Revealed by Interindividual Group Analysis of EEG/fMRI Data”, Epilepsia 2009; 50(12):2549–56

Aubert-Broche B, Grova C, Pike GB, Collins DL, Clustering of Atlas-Defined Cortical Regions Based on Relaxation Times and Proton Density”, Neuroimage 2009 Aug 15;47(2):523–32

Grimault S., Robitaille N., Grova C., Lina J-M., Dubarry A.S., and Jolicœur P, Oscillatory Activity in Parietal and Dorsolateral Prefrontal Cortex during Retention in Visual Short-Term Memory: Additive Effects of Spatial Attention and Memory Load”, Human Brain Mapping, 2009 Oct;30(10):3378–92

2008

Tyvaert L., LeVan P., Grova C., Dubeau F. and Gotman J, “Effects of Fluctuating Physiological Rhythms during Prolonged EEG-fMRI Studies”, Clinical Neurophysiology, 2008, 119(12):2762–74

Grova C., Daunizeau J., Kobayashi E., Bagshaw A.P., Lina J.M., Dubeau F., Gotman J, “Concordance between Distributed EEG Source Localization and Simultaneous EEG-fMRI Studies of Epileptic Spikes”, Neuroimage, 39(2):755–74 (2008)

Gallagher A, Lassonde M, Bastien D, Vannasing P, Lesage F, Grova C, Bouthillier A, Carmant L, Lepore F, Béland R, Nguyen DK, “Non-Invasive Pre-Surgical Investigation of a 10 year-old Epilptic Boy Using Simultaneous EEG-NIRS”, Seizure;17(6):576–82 (2008)

2007

Daunizeau J., Grova C., Marrelec G., Mattout J., Jbabdi S., Pelegrini-Issac M, Lina J.M. and Benali H., “Symmetrical Event-Related EEG/fMRI Information Fusion in a Variational Bayesian Framework”, Neuroimage, 36(1):69–87, (2007)

2006

Lu Y., Grova C., Kobayashi E., Dubeau F. and Gotman J., “Using Voxel-Specific Hemodynimic Response Function in EEG-fMRI Data-Analysis: An Estimation and Detection Model”, Neuroimage, 34(1):195–203, (2006)

Lu Y., Bagshaw A.P., Grova C., Kobayashi E., Dubeau F. and Gotman J., “Using Voxel-Specific Hemodynamic Response Function in EEG-fMRI Data Analysis”, Neuroimage, 32(1):238–247 (2006)

Jannin P., Grova C. and Maurer Jr C.R., “Model for Defining and Reporting Reference-Based Validation Protocols in Medical Image Processing”, International Journal of Computer Assisted Radiology and Surgery, 1(2):63–73 (2006)

Grova C., Makni S., Flandin G., Ciuciu P., Gotman J. and Poline J.B., “Anatomically Informed Interpolation of fMRI Data on the Cortical Surface”, Neuroimage, 31(4):1475–86 (2006)

Kobayashi E., Hawco C.S., Grova C., Dubeau F. and Gotman J. Widespread Metabolic Effect of Short Focal Electrographic Seizures. Neurology, 66(7):1049–55 (2006)

Grova C., Daunizeau J., Lina J.M., Bénar C., Benali H. and Gotman J, “Evaluation of EEG Localization Methods using Realistic Simulations of Interictal Spikes”, Neuroimage, 29(3):734–53 (2006)

Bénar C.G., Grova C., Kobayashi E., Bagshaw A.P., Aghakhani Y., Dubeau F. and Gotman J.,“EEG–fMRI of Epileptic Spikes: Concordance with EEG Source Localization and Intracranial EEG”, Neuroimage, 30(4):1161–70 (2006)

Kobayashi E., Bagshaw A.P., Grova C., Gotman J. and Dubeau F., “Grey Matter Heterotopia: What EEG-fMRI Can Tell us About Epileptogenicity of Neuronal Migration Disorders”, Brain, 129(Pt 2):366–74 (2006)

Kobayashi E., Bagshaw A.P., Grova C., Dubeau F. and Gotman J., “Negative BOLD responses to epileptic spikes”, Human Brain Mapping, 27(6):488–97 (2006)

2005

Gotman J., Grova C., Bagshaw A.P., Kobayashi E., Aghakhani Y., Dubeau F., “Generalized Epileptic Discharges Show Thalamocortical Activation and Suspension of the Default State of the Brain”, Proc Natl Acad Sci USA., 102(42) pp. 15236–15240 (2005)

Reilhac A., Batan G., Michel C., Grova C., Tohka J., Collins D.L., Costes N. and Evans A.C. “PET-SORTEO: Validation and Development of Database of Simulated PET Volumes”, IEEE Trans. on Nuclear Science, 52(5) pp. 1321–1328 (2005)

Daunizeau J., Grova C., Mattout J. Marrelec G., Clonda D., Goulard B., Pélégrini-Isaac M., Lina J.M. and Benali H., “Assessing the relevance of fMRI-based prior in the EEG inverse problem: a Bayesian model comparison approach”, IEEE Trans. on Signal Processing, special section on signal processing aspects of brain imaging, 53(9) pp. 3461–3472 (2005)

Bénar C.G., Gunn R.N., Grova C., Champagne B. and Gotman J. , “Statistical Maps for EEG Dipolar Source Localization”, IEEE Trans. on Biomedical Engineering, 52(3) pp. 401–413 (2005)

Grova C., Jannin P., Buvat I., Benali H., Bansard J.Y., Biraben A. and Gibaud B., “From Anatomic Standardization Analysis of Perfusion SPECT Data to Perfusion Pattern Modeling”, Academic Radiology, invited paper, 12(5) pp. 554–565 (2005)

2003

Grova C., Jannin P., Biraben A., Buvat I., Benali H., Bernard A.-M., Scarabin J.-M. and Gibaud B., “A Methodology for Generating Normal and Pathological Brain Perfusion SPECT Images for Evaluation of MRI/SPECT Fusion Methods: Application in Epilepsy”, Physics in medicine and biology, 48 pp. 4023–4043 (2003)

Aubert-Broche B., Grova C., Jannin P., Buvat I., Benali H. and Gibaud B., “Detection of Inter-Hemispheric Asymmetries of Brain Perfusion in SPECT”, Physics in Medicine and Biology, 48 pp. 1505–1517 (2003)

2001

Jannin P., Grova C., and Gibaud B. Fusion de données : Une revue méthodologique basée sur le contexte clinique, ITBM-RBM Innovation et technologie en biologie et médecine, 22(4) pp. 196–215 (2001)

2000

Jannin P., Fleig O.J., Seigneuret E., Grova C., Morandi X., and Scarabin J.M., “A Data Fusion Environment for Multimodal and Multi‐Informational Neuronavigation”, Journal of Computer Aided Surgery, 5(1) pp 1–10 (2000).

Reviews, Book Chapters, Books

Jannin P., Grova C. and Gibaud B., “Medical applications of NDT data fusion, Chapter in Applications of NDT data fusion”,Edited by Gros X.E., Kluwer academic publishers, pp. 227–267 (2001).

Jolicoeur P., Dell’Acqua, R., Brisson, B., Robitaille, N., Sauvé, K., Leblanc, E., Prime, D., Grimault, S., Marois, R., Sessa, P., Grova, C., Lina, J.-M., and Dubarry, A.-S., “Visual Spatial Attention and Visual Short-Term Memory Electromagnetic Explorations of Mind”, In Coltheart, V. (Ed.), Tutorials in visual cognition, Hove, UK:  Psychology Press. (2007)

Published Proceedings in International Conferences: Peer-reviewed in Extenso Articles

B. Aubert-Broche, C. Grova, A. Reilhac, A.C. Evans and D.L. Collins. Development of MRI and SPECT simulated databases with realistic anatomical and functional variabilities: application to SPECT/MRI registration evaluation . In Lecture Notes in Computer Science : MICCAI 2006 Copenhagen Denmark, 9(Pt 1):330–7 (2006)

Grova C., Jannin P., Buvat I., Benali H. and Gibaud B,“Evaluation of registration of ictal SPECT/MRI data using statistical similarity methods”, In Lecture Notes in Computer Science : MICCAI 2004 Saint Malo Springer, vol. 3216, pp. 687–695, 2004

Grova C., Jannin P., Buvat I., Benali H., Bansard J.Y., Biraben A. and Gibaud B., “From Anatomic Standardization Analysis of Perfusion SPECT Data to Perfusion Pattern Modelling”, In Lecture Notes in Computer Science : MICCAI 2003 Montreal. Springer, vol. 2879(2), pp. 328–335, 2003 (oral presentation)

Aubert-Broche B., Grova C., Jannin P., Buvat I., Benali H., and Gibaud B., “Detection of Inter-Hemispheric Asymmetries of Brain Perfusion in SPECT”, In Lecture Notes in Computer Science : MICCAI 2002 Tokyo. Springer, vol. 2488, pp. 500–507 (2002)

Grova C., Biraben A., Scarabin J.M., Jannin P., Buvat I., Benali H. and Gibaud B., “A methodology to validate MRI / SPECT registration methods using realistic simulated SPECT data”,In Lecture Notes in Computer Science : MICCAI 2001 Utrecht, vol. 2208 pp. 275–282 (2001). (oral presentation)

Published Proceedings in International Conferences: Peer-reviewed Long Abstracts

Batan G., Reilhac A., Grova C., Collins D.L., Tohka J., Costes N. and Evans, A.C., “A Database of Simulated PET Volumes with Anatomical Variability”, ‘’Nuclear Science Symposium Conference Record, 2004, IEEE vol 6,  16–22 Oct 2004, pp. 3699 – 3702 (2004)

Perruchot F., Reilhac A., Grova C., Evans A.C. and Dagher, A, “Motion Correction of Multi-Frame PET Data”, ‘’Nuclear Science Symposium Conference Record, 2004 IEEE vol 5,  16–22 Oct. 2004, pp. 3186 – 3190 (2004)

Scarabin J.M., Aubert-Broche B., Grova C., Argaud C., Schaeffer M., and Jannin P. , “Perfusion Weighted MRI: A New Tool for Epilepsy Surgery”, In Computer Assisted Radiology and Surgery 2002. Edited by H.U. Lemke, M.W. Vannier, K. et al, Springer, pp361-−365 (2002)

Grova C., Jannin P., Biraben A., Buvat I., Benali H., Bernard A.M., Scarabin J.M., and Gibaud B., “Validation of MRI/SPECT Similarity-Based Registration Methods using Realistic Simulations of Normal and Pathological SPECT Data”, In Computer Assisted Radiology and Surgery 2002, Edited by H.U. Lemke, M.W. Vannier, K. et al, Springer, pp361-−365 (2002). (oral presentation)

Jannin P., Fleig O.J., Seigneuret E., Grova C., Morandi X., and Scarabin J.M. Multimodal and Multi-Informational Neuro-Navigation, In Computer Assisted Radiology and Surgery 2000, Edited by H.U. Lemke, M.W. Vannier, et al, Elsevier, pp 167–172 (2000)

Jannin P., Schwartz D., Grova C., Barillot C. and Gibaud B. Fusion of multimodal functional neuro-imaging (MEG, fMRI, SPECT): definition of different matching paradigms, In Computer Assisted Radiology & Surgery 1999, Edited by H.U. Lemke, M.W. Vannier, et al, Elsevier, pp

Abstracts and Conference Presentations

2018

Kangjoo Lee, Hui Ming Khoo, Jean-Marc Lina, Francois Dubeau, Jean Gotman and Christophe Grova, “Identification of epileptic networks involving connector hubs in mesial temporal lobe epilepsy”, The 24th Annual Meeting of the Organization for Human Brain Mapping (OHBM), June 2018, Singapore (Poster session)

2017

Hedrich T., Aydin Ü., Jegou A., Grimault S., Benali H., Grova C., “Electrical source imaging of visual evoked responses inside the MR scanner”, Organisation for Human Brain Mapping, Vancouver, Canada, June 2017

2016

Hedrich T., Khoo H.M., Pellegrino G., Aydin Ü., Gotman J., Grova C. “Reproducibility of distributed electrical source imaging of interictal discharges inside and outside the MR scanner and concordance with hemodynamic changes”, American Epilepsy Society Annual Conference – AES 2016, Houston, Texas, December 2016 (accepted for poster presentation)

Kangjoo Lee, Hui Ming Khoo, Jean-Marc Lina, Jean Gotman and Christophe Grova, “Resting state fMRI reveals abnormal reorganization of network hubs in mesial temporal lobe epilepsy”, The 70th American Epilepsy Society (AES) Annual Meeting, December 2016, Houston, USA (Accepted for Poster session)

Kangjoo Lee, Hui Ming Khoo, Jean Gotman and Christophe Grova, “Reorganization of Functional Hubs and Overlapping Networks in Mesial Temporal Lobe Epilepsy”, The 22th Annual Meeting of the Organization for Human Brain Mapping (OHBM), June 2016, Geneva, Switzerland (accepted for poster presentation)

Kangjoo Lee, Hui Ming Khoo, Jean-Marc Lina, Jean Gotman and Christophe Grova, “Detection of functional hubs from resting state fMRI data and their reorganization in Mesial Temporal Lobe Epilepsy”, The 3rd Whistler Scientific Workshop on Brain Functional Organization, Connectivity and Behavior, March 2016, Whistler-Blackcomb, B.C., Canada (accepted for oral presentation)

2015

Kangjoo Lee, Jean-Marc Lina, Jean Gotman, Christophe Grova, “Reliable Detection of Functional Connector Hubs and Overlapping Network Structure in Resting-State fMRI using SPARK”, Biological & Biomedical Engineering Symposium, September 2015, Montreal, Canada (First Place Winner, Poster Competition 2)

Chowdhury R., Pellegrino G, Ellenreider N.V., Kobayashi E., Lina JM, Grova C. “Fusion of EEG and MEG increases the spike-to-spike reproducibility rate”, Basic and Clinical multimodal Imaging (BaCI), September 2015, Utrecht, Netherlands. (accepted for poster presentation)

Chowdhury R., Pellegrino G, Ellenreider N.V., Kobayashi E., Lina JM, Grova C. “Clinical relevance of EEG-MEG Fusion Source Analysis of Inter-ictal spikes”, 2015 Annual Meeting of the American Epilepsy Society, December 2015, Philadelphia, PA, USA. (accepted for poster presentation)

Hedrich T, Aydin Ü, Jegou A, Pellegrino G, Lina JM, Grova C. “Comparison of Electrical Source Imaging and Ballistocardiogram Artefact Correction Methods Using Somatosensory Evoked Responses in hdEEG-fMRI”, Basic and Clinical multimodal Imaging (BaCI), September 2015, Utrecht, Netherlands.

Kangjoo Lee, Jean-Marc Lina, Jean Gotman, Christophe Grova, “Organization of Functional Hubs in Healthy Human Brain”, The 2nd Annual PERFORM Centre Research Conference, May 2015, Montreal, Canada (Winner of the best poster presentation)

2014

Pellegrino G., Machado A., Watanabe S., Drouin N., Allard L., Lina J.M., Hall J., Kobayashi E., Grova C., “Personalized simultaneous EEG-NIRS to assess the neurovascular coupling in focal epilepsy”, fNIRS 2014, Montreal, Canada, October 2014 (accepted for oral presentation)

Pellegrino G., Machado A., Watanabe S., Drouin N., Allard L., Lina J.M., Hall J. 2, Kobayashi E.2, Grova C., “Simultaneous EEG-NIRS (Near InfraRed Spectroscopy) guided by MEEG and EEG-fMRI to assess the neurovascular coupling in focal epilepsy: a new, non-invasive, multimodal approach”, 68th Annual Meeting of the American Epilepsy Society, Seattle, USA, December 2014 (accepted for poster presentation)

Brahim Belaoucha, Jean-Marc Lina, Maureen Clerc, Anne-Charlotte Philippe, Christophe Grova, et al.. Using diffusion MRI information in the Maximum Entropy on Mean framework to solve MEG/EEG inverse problem. The 19th International Conference on Biomagnetism, Aug 2014, Halifax, Canada.

Hedrich T., Lina JM, Kobayashi E and Grova C. “Analysis of spatial resolution and crosstalk of different distributed source localization methods in EEG and MEG”, 10th International Conference on Biomagnetism - BIOMAG 2014, Halifax, Canada, August 2014 (accepted for poster presentation)

Chowdhury R., Merlet I., Birot G., Albera L., Kobayashi E., Lina J.M., Wendling F., Grova C. “Localization of the spatial extent of the generators of epileptic discharges in EEG and MEG: comparison between 4-ExSo-MUSIC and MEM approaches”, 19th International Conference on Biomagnetism - BIOMAG 2014, Halifax, Canada, August 2014 (accepted for poster presentation)

Chowdhury R., Zerouali Y., Hedrich T., Heers M., Kobayashi E., Lina J.M., GrovaC. “Localization of generators of epileptic activity using fusion of EEG and MEG data”, Neuro Epilepsy Day, Montreal Neurological Institute, Montreal, Canada, March 2014. (Accepted for oral presentation)

Lee. K., Lina J-M., Gotman J., Grova C., “SPARK: Sparsity-based Analysis for Reliable k-hubness in Brain Functional Connectivity”, The 20th Annual Meeting of the Organization for Human Brain Mapping (OHBM), June 2014, Hamburg, Germany (accepted for poster presentation)

Grova C., Dansereau C. L., Bellec P., Lee K., Pittau F., Gotman J., “Detection of Abnormal resting-state Networks in Individuals (DANI): application in epilepsy”, The 2nd Whistler Scientific Workshop on Brain Functional Organization, Connectivity and Behavior, March 2014, Whistler-Blackcomb, B.C., Canada (accepted for oral presentation)

2013

Lee K., Lina J-M., Gotman J., Grova C., “Characterization of stability in sparse brain network for resting-state fMRI”, Workshop on Scale-free Dynamics and Networks in Neuroscience, October 2013, Montreal, Canada (Poster session)

Grova C., Chowdhury R., Hedrich T., Heers M., Zelmann R., Hall J.A., Lina J.M., Kobayashi E. Evaluation of the spatial extent of the sources of epileptic spikes in MEG. Clinical EEG and Neuroscience. International Conference on Basic and Clinical Multimodal Imaging (BACI), Geneva, September 5–8 2013 (Invited talk)

Cisneros-Franco J.M., Lina J-M., Grova C. and Kobayashi E. Time Frequency Analysis of Ictal MEG signals using Wavelet-based Maximum Entropy of the Mean (wMEM). IEC Montreal 2013, Epilepsia, (54)s3 p.171 (accepted for poster)

Heers M., Hedrich T., An D., Gotman J., Grova C. and Kobayashi E. Concordance of EEG-fMRI BOLD responses and magnetic source imaging (MSI) of epileptic spikes in patients with focal epilepsy. IEC Montreal 2013, Epilepsia, (54)s3 p.10 (accepted for oral presentation)

Maneshi M., Grova C. and Gotman J. A new data-driven method detects whole brain functional connectivity changes in IGE patients. IEC Montreal 2013, Epilepsia, (54)s3 p.10. (accepted for oral presentation)

Lee K., Gotman J. and Grova C. Bootstrap Analysis of Stability in Sparse Dictionary Learning for Resting-State fcMRI. In Proceedings of Human Brain Mapping 2013, Seattle USA, (accepted for poster)

2012

Grova, C., Aiguabella, M., Lina, J.M., Hall J.A. and Kobayashi E., Intracranial EEG potentials simulated from MEG sources: a new approach to evaluate the spatial extent of MEG sources from IEEG measurements, Proc. of American Epilepsy Society, San Diego 2012, (accepted for poster)

Hedrich T., Kobayashi E, Lina JM and Grova C. Accuracy of spatio-temporal reconstruction using entropic technique from MEG data. In: 18th International Conference on Biomagnetism - BIOMAG 2012; Paris, 2012 (accepted for poster)

Chowdhury R., Zerouali Y., Lina J.M., Kobayashi E. and Grova C. Multimodal EEG/MEG fusion within the Maximum Entropy on the Mean (MEM) framework In: 18th International Conference on Biomagnetism - BIOMAG 2012; Paris, 2012 (accepted for poster)

Zerouali Y., Chowdhury R., Jemel B., Grova C. and Lina. Wavelet-based localization of oscillatory and synchronous sources in Brainstorm In: 1st Brainstorm User Symposium, satellite at the 18th International Conference on Biomagnetism - BIOMAG 2012; Paris, 2012 (oral presentation)

Maneshi M., Vahdat S., Grova C. and Gotman J. Validation of a new ICA-based method for between-group comparisons in fMRI, Proceedings of Human Brain Mapping 2012, Beijing, China, (accepted for poster)

Vahdat S., Maneshi M., Grova C., Gotman J. and Milner T. Shared and Specific Independent Components Analysis for Between Groups Comparison, Proceedings of Human Brain Mapping 2012, Beijing, China, (accepted for poster)

2011

Machado A., Rosenberg D., Lina J.M., Kobayashi E. and Grova C. Estimation of hemodynamic responses to epileptic activity using EEG/NIRS acquisitions. Proceedings of Human Brain Mapping 2011, Quebec, (accepted for poster)

Lina J.M., lemay E., Chowdhury R., Hall J., Kobayashi E. and Grova C. Localization of oscillatory MEG activity combing time-frequency analysis and entropic inference. Proceedings of Human Brain Mapping 2011, Quebec, (accepted for poster and e-poster presentation)

Pittau F., Grova C., Moeller F., Dubeau F. and Gotman J. FMRI functional connectivity study in Mesial Temporal Lobe Epilepsy. Proceedings of Human Brain Mapping 2011, Quebec, (accepted for poster)

Langlois Dansereau C., Pittau F., Bellec P., Gotman J. and Grova C. Detection of abnormal resting state networks in epileptic patients. Proceedings of Human Brain Mapping 2011, Quebec, (accepted for poster)

Maneshi M., Moeller F., Gotman J. and Grova C. Functional Connectivity in Patients with Generalized Epilepsy. Proceedings of Human Brain Mapping 2011, Quebec, (accepted for poster and e-poster presentation)

Jones M.L., Crippa A.C., Lina J.M., Grova C. and Kobayashi E. MEG source localization of interictal bursts of epileptic activity in time frequency domain. Proceedings of Human Brain Mapping 2011, Quebec, (accepted for poster)

Aiguabella M, Grova C., Sangani M., Rosenberg D. , Zelmann R., Hall J, Gotman J., Dubeau F. and Kobayashi E. Anatomical correlation between magnetoencephalography and intracranial EEG recordings, Proceedings of Human Brain Mapping 2011, Quebec, (accepted for poster)

Jones M.L., Lina J.M., Grova C. and Kobayashi E. Source Localization of Oscillatory Components in Bursts of Interictal Rhythmic Epileptic Activity. Proceedings of American Academy of Neurology 2011, Hawai, (accepted for poster)

2010

Chowdhury R., Potiez Y., Sangani S., Lina J.M., Kobayashi E. and Grova C. Maximum entropy on the Mean for source localization of epileptic activity in MEG. Proceedings of Human Brain Mapping 2010, Barcelona, (accepted for poster)

2009

Machado A., Lina J.M., Lesage F. and Grova C. Detection of hemodynamic responses to epileptic activity using EEG/NIRS simultaneous acquisitions. Proc. of American Epilepsy Society, Boston 2009, (accepted for poster)

Grova C., Moeller F., Kobayashi E., Gholipour T., Pittau F., Bellec P., Dubeau F. and Gotman, J. Functional connectivity of medial thalamus is altered in patients with idiopathic generalized epilepsy compared to healthy controls. Proc. of American Epilepsy Society, Boston 2009, (accepted for poster)

2008

Grova C., Kobayashi E., Potiez Y., Dubarry A-S., Tyvaert L, Lina JM, Dubeau F, Jolicoeur P and Gotman J. Multimodal data analysis of epileptic activity: comparison between cortical sources localized from EEG and MEG data and BOLD responses detected in EEG-fMRI studies. Proc. of American Epilepsy Society, Seattle 2008, (accepted for poster)

2007

Grova C., Kobayashi E., Tyvaert L, Lina JM, Dubeau F, Jolicoeur P and Gotman J . Magnetoencephalogram of interictal spike activity: correlation with BOLD responses in EEG-fMRI studies. Proceedings of American Epilepsy Society conference, Philadelphia 2007(accepted for poster)

Kobayashi E, Grova C, Tanaka N, Stufflebeam S, Hämäläinen M Contribution of distributed source analyses of MEG signal to the understanding of epileptic networks in focal cortical dysplasia. Proceedings of American Epilepsy Society conference, Philadelphia 2007 (accepted for poster)

Grova C., Lina J.M., Daunizeau J., Dubarry A.S., Gotman J. and Jolicoeur P. MEG source localization of single trial versus average data : an evaluation using realistic simulations. Proceedings of Human Brain Mapping 2007, Chicago, (accepted for poster)

Grova C., Kobayashi E., Hawco C., Dubeau F. and Gotman J. Identification of a network associated with BOLD responses to epileptic spikes using multivariate group analysis in Temporal Lobe and Generalized Epilepsies. Proceedings of Human Brain Mapping 2007, Chicago, (accepted for poster)

Grimault, S., Robitaille, N., Grova, C., Lina, J.-M., Dubarry, A.-S., and Jolicoeur P. A novel method of source localization of magnetoencephalographic (MEG) induced activity applied in visual short-term memory Proceedings of Human Brain Mapping 2007, Chicago, (accepted for poster)

Jolicoeur, P., Grimault, S., Robitaille, N., Lina, J.-M., Grova, C., and Dubarry, A.-S. Induced oscillatory activity during retention in visual short-term memory. Poster presented at the 47th Annual Meeting of the Society for Psychophysiological Research. Savannah, Georgia, USA, October 17-−21. 2007

2006

Grova C., Kobayashi E., Hawco C., Dubeau F. and Gotman J. BOLD response in Temporal Lobe Epilepsy using Group Analysis. Proceedings of Human Brain Mapping 2006, Florence, (accepted for poster)

Kobayashi E., Grova C., Hawco C., Dubeau F. and Gotman J. Assessing the lesional and perilesional BOLD responses in malformations of cortical development. Proceedings of Human Brain Mapping 2006, Florence, accepted

Before 2005

Grova C., Daunizeau J., Bagshaw A.P., Kobayashi E., Lina J.M., Dubeau F. and Gotman J. Assessing the concordance between EEG source localization and simultaneous EEG/fMRI studies. In American Epilepsy Society (AES) 2005 Washington. (2005). (accepted for poster)

Kobayashi E., Bagshaw A.P., Grova C., Dubeau F. and Gotman J. Negative BOLD responses to interictal epileptic spikes. Epilepsia 2005;46(Suppl 6): 172

Grova C., Daunizeau J., Lina J.M., Bénar C., Benali H. and Gotman J. Evaluation of EEG localization methods using realistic simulations of interictal spikes. Proceedings. of Human Brain Mapping 2005, Toronto, CD-ROM (poster)

Makni S., Grova C., Flandin G., Ciuciu P., Poline J.B. An interpolation method for fMRI data extraction on the cortical surface. Proceedings of Human Brain Mapping 2005, Toronto, CD-ROM

Lu Y., Grova C., Bagshaw A.P., Kobayashi E., Dubeau F. and Gotman J. EEG-fMRI Data Analysis: Fixed or Voxel-wise Hemodynamic Response Function? Proceedings. of Human Brain Mapping 2005, Toronto, CD-ROM

Daunizeau J., Grova C., Mattout J., Lina J.M. and Benali H. Assessing the relevance of fMRI-derived prior in the EEG/MEG inverse problem: a Bayesian Model Comparison approach. Proceedings. of Human Brain Mapping 2005, Toronto, CD-ROM

Bénar C.G., Agha Khani Y., Kobayashi E., Bagshaw A.P., Grova C., Dubeau F. and Gotman J. Simultaneous EEG-fMRI of Epileptic Spikes: Comparison of fMRI and EEG Statistical Maps with Intracranial Recordings. 10th Annual Meeting of the Organization for Human Brain Mapping, Budapest, June 2004. CD-ROM

Grova C., Biraben A., Jannin P., Gibaud B. and Scarabin J.M. Modelling of normal and ictal perfusion patterns in SPECT using correspondence analysis. In American Epilepsy Society (AES) 2003 Boston. (2003). (poster)

Grova C., Jannin P., Biraben A., Scarabin J. M. and Gibaud B. Multimodal data fusion: state of the art, issues and perspectives. Application: SPECT/MRI data fusion in epilepsy. Neurophysiologie Clinique / Clinical Neurophysiology , 32(2) p. 9 (2002). Invited Conference (oral presentation)

Grova C., Jannin P., Biraben A., Scarabin J. M., Benali H., and Gibaud B. Generation of realistic models of ictal SPECT using Monte Carlo simulations. In Neuroimage (HBM 2001), Edited by Toga A.W., Frackowiak R.S, and Mazziotta J.C., 13 (6), pp S137 (2001).(poster)

Biraben A. and Grova C. Ictal SPECT in frontal seizures : Correlations with SEEG recordings. In 4th European Congress on Epileptology Proceedings, Epilepsia, 41, pp 3–4 (2000). Invited Conference.(oral presentation)

Grova C., Jannin P., Biraben A. and Scarabin J. M. Fusion de données anatomo-fonctionnelles pour l’aide au diagnostic des épilepsies pharmaco-résistantes : Problématique de la validation. In Epilepsies (JFE 2000) John Libbey Eurotext, 12 pp 256–257 (2000).(oral presentation)

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