MONTREAL NEUROLOGICAL INSTITUTE MEMBERS
McGILL UNIVERSITY PUBLICATIONS

 

Christophe Grova, PhD

 

 

Christophe Grova was born in Créhange (France) in 1974. In 1998, he received both the Engineering degree and the Master degree in biomedical engineering from the University of Technology of Compiègne, France, with a specialization in image and signal processing. From 1998 to 2002, he joined the IDM laboratory (UPRES 3192, University of Rennes 1, France), where he obtained a Ph.D. in “Validation of SPECT/MRI registration methods in the context of epilepsy”. Since January 2003, he has been working with the team of Jean Gotman at the Montreal Neurological Institute as a postdoctoral fellow. Since April 2006, he has been working also at the MagnetoEncephaloGraphy (MEG) centre of Université de Montréal (CERNEC) with Pierre Jolicoeur and Franco Lepore.

Starting in July 2008, Christophe Grova will be assistant Professor affiliated to biomedical engineering department and neurology and neurosurgery department at McGill Faculty of Medicine and at the MNI. His research interests are statistical signal processing, localization of epileptic spikes using distributed sources modeling, and multimodal analysis of EEG source localization and simultaneous EEG-fMRI data analysis. Validation of the proposed methods in the clinical context of epilepsy, notably using realistic simulated data, is a central topic of his research project.

His research project aims at developping 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 measuring directly neuronal activity with high temporal resolution with other modalities measuring indirectly 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.

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.

 

Email: christophe.grova@mcgill.ca

 

 

 

Address:

 

Montreal Neurological Institute

3801 University Street

EEG department, room 009d

H3A 2B4 Montreal

 

Dr. Grova's full CV

Dr. Grova's full publication list

Dr. Grova's PhD thesis

Dr. Grova's Research Project Summary

 

 

Phone number:            

 

Office:  (514) 398 6644, ext 00445

Fax: 514-398-8106

 


Articles published in peer-reviewed scientific journals:

Grova C., Daunizeau J., Kobayashi E., Bagshaw A.P., Lina J.M., Dubeau F., Gotman J. Concordance between EEG source localization and simultaneous EEG/fMRI studies of epileptic spikes. Neuroimage, 39(2):755-74, (2008)

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

Lu Y., Grova C., Kobayashi E., Dubeau F. and Gotman J. Using voxel-specific hemodynamic response function in EEG-fMRI data analysis: an estimation and detection mode. 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 protocol 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. Gray 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)

Gotman J., Grova C., Bagshaw A.P., Kobayashi E., Aghakhani Y., Dubeau F. Generalized Epileptic Discharges: Thalamo-cortical 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 probem: 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 modelling. Academic Radiology, invited paper, 12(5) pp. 554-565 (2005)

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)

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)

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

 

Articles submitted in peer-reviewed scientific journals

Grova C., Jannin P., Buvat I., Biraben A., Benali H., and Gibaud B. Validation of registration involving normal and pathological SPECT data using realistic simulations. Medical Image Analysis , under revision

 

Didactic publications (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).

 

Articles in proceedings of 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, Springer, vol. 4190 (1), pp. 330-337, 2006.

C. Grova, P. Jannin, I. Buvat, H. Benali and B. Gibaud. 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. vol. 2879(2), pp. 328-335. Springer, 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, Edited by T.Dohi and R. Kikinis, 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. Springer, Edited by W. Niessen and M. Viergever, vol. 2208 pp. 275--282 (2001). (oral presentation)

 

Articles in proceedings of 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).

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)

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).

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 238-243 (1999).

 

 

Collaborations:


- EEG Source Localization using Maximum Entropy on the Mean:

J.M. Lina, Ph.D.
Ecole de Technologie Superieur, Montreal
Laboratoire Physnum, Centre de Recherches en Mathematiques, Université de Montréal
Equipe MIC, Centre de Recherches de l'Institut Universitaire de Gériatrie de Montréal


- EEG Source Localization and EEG/fMRI data fusion:

Jean Daunizeau, INSERM U678, Paris
http://www.imed.jussieu.fr/~jdaunize/

Habib Benali, PhD
Directeur de Recherche INSERM U678, Paris
Chercheur associé CRM, Université de Montréal
Equipe MIC, Centre de Recherches de l'Institut Universitaire de Gériatrie de Montréal
http://e1.imed.jussieu.fr/
http://www.imed.jussieu.fr


- fMRI interpolation on the cortical surface:

S. Makni, J.B. Poline Ph.D
MADIC, Service Hospitalier Frédéric Joliot, Orsay, France
http://www.madic.org/index.php


- fMRI group analysis:

Keith Worsley, Ph.D.
Department of Mathematics and Statistics
Brain Imaging Centre, Montreal Neurological Institute
McGill University
http://www.math.mcgill.ca/keith/

A.C. Evans Ph.D., L. Collins Ph.D.
Brain Imaging Center, Montreal Neurological Institute, McGill University
http://www.bic.mni.mcgill.ca/


- Validation Methodology:

P. Jannin, Ph.D., B. Gibaud Ph.D.
Laboratoire IDM, Equipe ViSAGeS, Universite de Rennes 1, France
http://idm.univ-rennes1.fr/
http://www.irisa.fr/visages/team-fra.html
 


Useful Software

- BRAINVISA : http://www.brainvisa.info
- FMRISTAT : http://www.math.mcgill.ca/keith/fmristat/
- Medical imaginging softwares from the BIC: http://www.bic.mni.mcgill.ca/software/