Christophe Grova, PhD
- Professor, Physics
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Biography
Research interests
Please check our new lab website: https://www.multifunkim.com
Professor Christophe Grova is directing The Multimodal Functional Imaging Laboratory, a multidisciplinary team composed of neurologists and methodologists, investigating multimodal data fusion to characterize brain mechanisms in healthy conditions and also during epileptic activity.
Being affiliated to both Biomedical Engineering and Neurology and Neurosurgery Departments at McGill University since July 2008, Dr. Grova investigates the integration of multimodal functional data to study brain mechanisms at the time of epileptic activity and during sleep. His research project aims at combining multimodal data in order to detect additional information that could be missed by considering each modality individually. His project involves the integration of three promising functional modalities:
- Simultaneous ElectroEncephaloGraphy (EEG) - MagnetoEncephaloGraphy (MEG) acquisitions, measuring directly on the scalp electric and magnetic components of epileptic signals generated by neurons synchronously active (at a ms scale). Source localization procedure is then required to localize the generators of these discharges within the brain.
- Simultaneous EEG - functional Magnetic Resonance Imaging fMRI acquisitions to measure, within the whole brain at a second scale, hemodynamic responses that correlate with scalp EEG discharges (epilepsy or sleep specific discharges).
- Simultaneous EEG - functional Near InfraRed Spectroscopy (fNIRS) acquisitions to measure local changes in oxy- and deoxy-hemoglobin at the time of scalp EEG discharges, by exploiting absorption properties of infrared light within brain tissues using optic fibres placed on the surface of the head.
The comparison of EEG/fMRI and EEG/fNIRS offers a unique way to address in vivo the question of the integrity of the neurovascular coupling in the epileptic brain. In addition of studying brain mechanisms at the time of epileptic discharges, Dr. Grova is currently applying similar methodologies to study resting state functional connectivity patterns in sleep and epilepsy.
Since July 2024, Christophe Grova is full Professor in the department of Physics of Concordia University. He is also an active researcher at Concordia School of Health / PERFORM centre, where he is acting as the scientific lead of PERFORM physiology platform, promoting neuroimaging in realistic lifestyle environments using wearable technology (EEG, fNIRS). He remains adjunct Professor in Biomedical Engineering Department and Neurology and Neurosurgery Department of McGill University. Areas of expertise are EEG/MEG source localization, multimodal data fusion involving EEG/MEG, fMRI and fNIRS, for application in epilepsy and sleep research. His team is also handling the development and validation of two software packages: MEM in Brainstorm for EEG/MEG source localization and NIRSTORM for fNIRS data analysis.
Selected publications
1. Afnan J, Cai Z, Lina JM, Abdallah C, Delaire E, Avigdor T, Ros V, Hedrich T, von Ellenrieder N, Kobayashi E, Frauscher B, Gotman J, Grova C. EEG/MEG source imaging of deep brain activity within the maximum entropy on the mean framework: Simulations and validation in epilepsy. Hum Brain Mapp. 2024 Jul 15;45(10):e26720. https://pubmed.ncbi.nlm.nih.gov/38994740/
2. Jaber K, Avigdor T*, Mansilla D, Ho A, Thomas J, Abdallah C*, Chabardes S, Hall J, Minotti L, Kahane P, Grova C, Gotman J, Frauscher B. (2024). A spatial perturbation framework to validate implantation of the epileptogenic zone. Nat Commun.15(1): 5253.https://pubmed.ncbi.nlm.nih.gov/38897997/
3. Abdallah C, Mansilla D, Minato E, Grova C, Beniczky S, Frauscher B. Systematic review of seizure-onset patterns in stereo-electroencephalography: Current state and future directions. Clin Neurophysiol. 2024 Jul;163:112-123. https://pubmed.ncbi.nlm.nih.gov/38733701/
4. Avigdor T, Abdallah C, Afnan J, Cai Z, Rammal S, Grova C, Frauscher B. Consistency of electrical source imaging in presurgical evaluation of epilepsy across different vigilance states. Ann Clin Transl Neurol. 2024 Feb;11(2):389-403. https://pubmed.ncbi.nlm.nih.gov/38217279/
5. Horrillo-Maysonnial A., Avigdor T., Abdallah C., Mansilla D., Thomas J., von Ellenrieder N., Royer J., Bernhardt B., Grova C., Gotman J., Frauscher B. (2023). Targeted density electrode placement achieves high concordance with traditional high-density EEG for electrical source imaging in epilepsy. (2023) Clinical Neurophysiology. 23: S1388-2457. https://pubmed.ncbi.nlm.nih.gov/37704552/
6. Afnan J., von Ellenrieder N., Lina J.M., Pellegrino G., Arcara G., Cai Z., Hedrich T., Abdallah C., Khajehpour H., Frauscher B., Gotman J., Grova, C. (2023). Validating MEG source imaging of resting state oscillatory patterns with an intracranial EEG atlas. Neuroimage. 274: 120158. https://pubmed.ncbi.nlm.nih.gov/37149236/
7. Frauscher B., Bénar C.G., Engel J.J., Grova C., Jacobs J., Kahane P., Wiebe S., Zjilmans M., Dubeau F. (2023). Neurophysiology, Neuropsychology, and Epilepsy, in 2022: Hills We Have Climbed and Hills Ahead. Neurophysiology in epilepsy. (Review). Epilepsy Behav.143: 109221. https://pubmed.ncbi.nlm.nih.gov/37119580/
8. Cai Z., Pellegrino G., Lina J.M., Benali H., Grova C.. Hierarchical Bayesian Modeling of the Relationship between Task Related Hemodynamic Responses and Cortical Excitability. (2023) Human Brain Mapping 44(3): 876-900. https://pubmed.ncbi.nlm.nih.gov/36250709/
9. Abdallah C. Hedrich T. Koupparis A. Afnan J. Hall J. Gotman J. Dubeau F. Frauscher B. Kobayashi E. Grova C. (2022). Clinical yield of electromagnetic source imaging and hemodynamic responses in epilepsy: validation with intracerebral. Neurology, 98(24):e2499-e2511 https://pubmed.ncbi.nlm.nih.gov/35473762/
10. Cai, Z. Machado, A. Chowdhury, R. Spilkin, A. Vincent, T. Aydin, U. Pellegrino, G. Lina, J.M. Grova C. (2022). Diffuse optical reconstructions of NIRS data using Maximum Entropy on the Mean. Scientific Report Feb 10;12(1):2316. https://pubmed.ncbi.nlm.nih.gov/35145148/
11. Cai Z., Pellegrino G., Spilkin A., Delaire E., Uji, M., Abdallah C., Lina J.M., Fecteau S., Grova C. (2022). Hemodynamic Correlates of Fluctuations in Neuronal Excitability: A Simultaneous Paired Associative Stimulation (PAS) and functional Near Infra-Red Spectroscopy (fNIRS) Study. Neuroimage Report, 2 (3), 100099 https://www.sciencedirect.com/science/article/pii/S266695602200023X
12. Cross N. Pomares F. Nguyen A. Perrault A. Jegou A. Uji M. Lee K.J. Razavipour F. Ali O.B.K. Aydin U. Benali H. Grova C. Dang-Vu T.T. (2021). Altered functional integration of brain activity is a marker of impaired cognitive performance following sleep deprivation. PLoS Biology. Nov 4;19(11): e3001232. https://pubmed.ncbi.nlm.nih.gov/34735431/
13. Uji, M; Cross, N; Pomares, F; Perrault, A; Jegou*, A; Nguyen, A; Aydin, Ü.; Lina, JM; Dang-Vu, TT; Grova C. (2021). Data-driven beamforming techniques to attenuate ballistocardiogram (BCG) artefacts in EEG/fMRI without detecting cardiac pulses in ECG recordings. Human Brain Mapping, 42(12):3993-4021 https://pubmed.ncbi.nlm.nih.gov/34101939/
14. Cai Z., Uji M., Aydin Ü., Pellegrino G., Spilkin A., Delaire E., Abdallah C., Lina J.M., Grova, C. (2021). Evaluation of a Personalized Functional Near Infra-Red Optical Tomography Workflow using Maximum Entropy on the Mean. Human Brain Mapping. Aug 3. doi: 10.1002/hbm.25566 https://pubmed.ncbi.nlm.nih.gov/34342073/
15. Best practices for fNIRS publications. Neurophotonics. 8(1):012101. https://pubmed.ncbi.nlm.nih.gov/33442557/
16. Pellegrino, G. Hedrich, T. Sziklas, V. Lina, J.M. Grova, C. Kobayashi, E. (2021). How cerebral cortex protects itself from interictal spikes: the alpha/beta inhibition mechanism. Human Brain Mapping, 42(11):3352--3365. https://pubmed.ncbi.nlm.nih.gov/34002916/
17. Machado, A. Cai, Z. Vincent, T. Pellegrino, G. Lina, J.M. Kobayashi, E. Grova, C. (2021). Deconvolution of hemodynamic responses along the cortical surface using personalized functional near infrared spectroscopy. Scientific Report. 11(1): 5964. https://pubmed.ncbi.nlm.nih.gov/33727581/
18. Cross, B.; Paquola, C.; Pomares, F.; Perrault, A.; Jegou* A.; Nguyen* A; Aydin* U.; Bernhardt, B.; Grova, C.; Dang-Vu, T.T. (2021). Trait-like gradients of functional connectivity are robust to state-dependent changes following sleep deprivation. Neuroimage. 226: 226:117547. https://pubmed.ncbi.nlm.nih.gov/33186718/
19. Pellegrino G., Xu M., Alkuwaiti A., Porras-Bettancourt M., Lina J.M., Grova C., Kobayashi E. (2020). Effects of Independent Component Analysis on magnetoencephalography source localization in presurgical frontal lobe epilepsy patients. Frontiers in Neurology, section Epilepsy. 11: 479. https://pubmed.ncbi.nlm.nih.gov/32582009/
20. Pellegrino G., Hedrich T., Aydin Ü., Porras-Bettancourt M., Lina J.M., Grova C., Kobayashi E. (2020). Accuracy and spatial properties of distributed magnetic source imaging (dMSI) techniques in the investigation of focal epilepsy patients. Human Brain Mapping. 41(11): 3019-3033. https://pubmed.ncbi.nlm.nih.gov/32386115/
21. Avigdor, T. Abdallah, C. von Ellenrieder, N. Rubino, A. Lo Russo, G. Bernhardt, B. Nobili, L. Grova, C., Frauscher, B. (2020). Fast oscillations>40Hz localize the epileptogenic zone: an electrical source imaging study using high-density electroencephalography. Clinical Neurophysiology. 132(2): 568-580. https://pubmed.ncbi.nlm.nih.gov/33450578/
22. Aydin* Ü.; Pellegrino* G.; Ali* O.B.K.; Abdallah* C.; Dubeau F.; Lina J.M.; Kobayashi E.; Grova C. (2020). MEG resting state connectivity in epilepsy predicts surgical outcome at the single patient level. Journal of Neural Engineering. Jun 12;17(3):035007. https://pubmed.ncbi.nlm.nih.gov/32191632/
23. Lee KJ, Khoo HM, Fourcade C, Gotman J, Grova C. (2019). Automatic removal of structured physiological noise for resting state functional connectivity MRI analysis. Magnetic Resonance in Medicine. 58: 97-107 https://pubmed.ncbi.nlm.nih.gov/30695721/
24. Bénar CG, Grova C, Jirsa V, Lina JM. (2019). Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study. Journal of Computational Neuroscience: 1-11. https://pubmed.ncbi.nlm.nih.gov/31292816/
25. Shin J, Rowley J, Chowdhury R, Jolicoeur P, Klein D, Grova C, Rosa-Neto P, Kobayashi E. Inferior Longitudinal Fasciculus' Role in Visual Processing and Language Comprehension: A Combined MEG-DTI Study. Front Neurosci. 2019 Aug 23;13:875. https://pubmed.ncbi.nlm.nih.gov/31507359/
26. Jegou A., Schabus M., Gosseries O., Dahmen B., Albouy G., Desseilles M., Sterpenich V., Phillips C., Maquet M., Grova C., Dang-Vu T.T. (2019). Cortical reactivations during sleep spindles following declarative learning. Neuroimage. 195: 104-112. https://pubmed.ncbi.nlm.nih.gov/30928690/
27. Lee KJ., Khoo H.M., Lina J.M., Dubeau F., Gotman J., Grova C. Disruption, emergence and lateralization of brain network hubs in mesial temporal lobe epilepsy. Neuroimage Clinical. 2018, 20: 71-84. https://pubmed.ncbi.nlm.nih.gov/30094158/
28. Machado A., Cai Z., Pellegrino G., Marcotte O., Vincent T., Lina J.M., Kobayashi E. and Grova, C. Optimal positioning of optodes on the scalp for personalized functional near-infrared spectroscopy investigations. Journal of Neurosciences - Methods. 2018, 309: 91-108. https://pubmed.ncbi.nlm.nih.gov/30107210/
29. Chowdhury R., Pellegrino G., Aydin U., Lina J.M., Dubeau F., Kobayashi E. and Grova C. Reproducibility of EEG-MEG fusion source analysis of interictal spikes. Human Brain Mapping, 2018, 39(2): 880-901 https://pubmed.ncbi.nlm.nih.gov/29164737/
30. Pellegrino G., Hedrich T., Chowdhury R., Hall J.A., Dubeau F., Lina J.M., Kobayashi E. and Grova C. Clinical yield of MEG distributed source imaging in epilepsy. Human Brain Mapping, 2018, 39(1): 218-231 https://pubmed.ncbi.nlm.nih.gov/29024165/
31. Hedrich T., Pellegrino G., Kobayashi E., Lina J.M., Grova C. Comparison of the spatial resolution of source imaging techniques in high-density EEG and MEG, Neuroimage, 2017, 157:531-544 https://pubmed.ncbi.nlm.nih.gov/28619655/
32. Aydin Ü, Rampp S, Wollbrink A, Kugel H, Cho J-H, Knösche, TR, Grova C, Wellmer J, Wolters CH. Zoomed MRI guided by combined EEG/MEG source analysis: A multimodal approach for optimizing presurgical epilepsy work-up, Brain Topography, 2017, 30(4): 417-433 https://pubmed.ncbi.nlm.nih.gov/28510905/
33. Vasta R, Cerasa A, Gramigna V, Augimeri A, Olivadese G, Pellegrino G, Martino I, Machado A, Cai Z, Caracciolo M, Grova C, Quattrone A. 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. 2017 Apr 7 https://pubmed.ncbi.nlm.nih.gov/27055849/
34. Maneshi M., Vahdat S., Gotman J. and Grova C. Validation of Shared and Specific Independent Component Analysis (SSICA) for between-group comparisons in fMRI, Frontiers in Neuroscience, section Brain Imaging Methods, 2016, Sep 27;10:417. https://pubmed.ncbi.nlm.nih.gov/27729843/
35. Chowdhury R.A., Merlet I., Birot G., Kobayashi E., Nica A., Biraben A., Wendling F., Lina J.M., Albera L. Grova C., 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, 2016. 143:175-195 https://pubmed.ncbi.nlm.nih.gov/27561712/
36. Tohka J., Bellec P., Grova C. and Reilhac A. Simulation and Validation in Brain Image Analysis. Computational Intelligence and Neuroscience, 2016: 1041058. Special Issue Editorial https://pubmed.ncbi.nlm.nih.gov/27433159/
37. Lee KJ., Lina J.M., Gotman J. and Grova C. SPARK: Sparsity-based analysis of reliable k-hubness and overlapping network structure in brain functional connectivity, Neuroimage, 2016, Apr 2;134:434-449. https://pubmed.ncbi.nlm.nih.gov/27046111/
38. Pellegrino G., Machado A, Von Ellenrieder N, Watanabe S, Lina JM, Hall J, Kobayashi E, Grova C. Hemodynamic response to Interictal Epileptiform Discharges addressed by personalized EEG-fNIRS recordings., Frontiers in Neuroscience, section Brain Imaging Methods, 2016 Mar 22;10:102. https://pubmed.ncbi.nlm.nih.gov/27047325/
39. Pellegrino G., Hedrich T., Chowdhury R., Hall J, Lina JM, Dubeau F., Kobayashi E, Grova C. Source localization of the seizure onset zone from ictal EEG/MEG data, Human Brain Mapping, 2016, 37(7):2528-46 https://pubmed.ncbi.nlm.nih.gov/27059157/
40. Grova C, Aiguabella M, Zelmann R, Lina JM, Hall JA, Kobayashi E. Intracranial EEG (iEEG) potentials simulated from MEG sources: a new approach to correlate MEG and iEEG. Human Brain Mapping, 2016 May;37(5):1661-83. https://pubmed.ncbi.nlm.nih.gov/26931511/
41. Von Ellenrieder N., Pellegrino G., Hedrich T., Gotman J., Lina J-M, Grova C., Kobayashi E. Detection and magnetic source imaging of fast oscillations (40-160 Hz) recorded with magnetoencephalography., Brain Topography, 2016 Mar;29(2):218-31. https://pubmed.ncbi.nlm.nih.gov/26830767/
42. Heers M, Chowdhury RA, Hedrich T, Dubeau F, Hall JA, Lina JM, 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. 2016, 29(1):162-81 https://pubmed.ncbi.nlm.nih.gov/25609211/
43. Chowdhury R., Zerouali Y., Hedrich T., Heers M., Kobayashi E., Lina J.M., Grova C. Multimodal Fusion of ElectroEncephalography (EEG) and MagnetoEncephalography (MEG) within the Maximum Entropy on the Mean Framework. Brain topography 2015, 28(6):785-812 https://pubmed.ncbi.nlm.nih.gov/26016950/
44. Dansereau CL, Bellec P, Lee K, Pittau F, Gotman J, Grova C. Detection of abnormal resting-state networks in individual patients suffering from focal epilepsy: an initial step toward individual connectivity assessment. Front Neurosci. 2014;8:419. doi: 10.3389/fnins.2014.00419 https://pubmed.ncbi.nlm.nih.gov/25565949/
45. Maneshi M., Vahdat S., Fahoum F., Grova C and Gotman J. Specific Resting-state Brain Networks in Mesial Temporal Lobe Epilepsy. Frontiers in Neurology, section Epilepsy, 2014; 5:127. doi: 10.3389/fneur.2014.00127. https://pubmed.ncbi.nlm.nih.gov/25071712/
46. Lina, J.M., Chowdhury, R.A., Lemay, E., Kobayashi, E., Grova, C. Wavelet-based localization of oscillatory sources from MagnetoEncephaloGraphy data. IEEE Trans on Biomed Eng. 2014; 61(8):2350-64. https://pubmed.ncbi.nlm.nih.gov/22410322/
47. 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. Human Brain Mapping, 2014; 35(9):4396-414. https://pubmed.ncbi.nlm.nih.gov/24615912/
48. Machado A, Marcotte O, Lina JM, Kobayashi E and Grova C. Optimal optode montage on EEG/fNIRS caps informed by multimodal functional information. Journal of Biomed Optics, 2014; 19(2):026010. https://pubmed.ncbi.nlm.nih.gov/24525860/
49. 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 https://pubmed.ncbi.nlm.nih.gov/23418485/
50. 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. https://pubmed.ncbi.nlm.nih.gov/23227168/
51. Vahdat S., Maneshi M., Grova C., Gotman J. and Milner T. Shared and Specific Independent Components Analysis for Between-Groups Comparison. Neural Computation 2012: 24(11):3052-90 https://pubmed.ncbi.nlm.nih.gov/22920851/
52. 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 https://pubmed.ncbi.nlm.nih.gov/22578020/
53. 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 https://pubmed.ncbi.nlm.nih.gov/21168514/
54. 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. https://pubmed.ncbi.nlm.nih.gov/21269293/
55. Kobayashi E., Grova C., Tyvaert L., Dubeau F. and Gotman J. Structures Involved at the Time of Temporal Lobe Spikes Revealed by Inter-Individual Group Analysis of EEG/fMRI Data. Epilepsia. 2009; 50(12):2549-56 https://pubmed.ncbi.nlm.nih.gov/19552652/
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. https://pubmed.ncbi.nlm.nih.gov/19426811/
57. 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. https://pubmed.ncbi.nlm.nih.gov/19384891/
58. 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. https://pubmed.ncbi.nlm.nih.gov/18977169/
59. 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) https://pubmed.ncbi.nlm.nih.gov/17945511/
60. 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 epileptic boy using simultaneous EEG-NIRS. Seizure;17(6):576-82 (2008) https://pubmed.ncbi.nlm.nih.gov/18374608/
61. 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) https://pubmed.ncbi.nlm.nih.gov/17408972/
62. 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 model. Neuroimage, 34(1):195-203, (2006) https://pubmed.ncbi.nlm.nih.gov/17045491/
63. 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). https://pubmed.ncbi.nlm.nih.gov/16774839/
64. 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). https://link.springer.com/article/10.1007/s11548-006-0044-6
65. 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). https://pubmed.ncbi.nlm.nih.gov/16650778/
66. Kobayashi E., Hawco C.S., Grova C., Dubeau F. and Gotman J. Widespread and intense BOLD changes during brief focal electrographic seizures. Neurology, 66(7):1049-55 (2006). https://pubmed.ncbi.nlm.nih.gov/16606918/
67. 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) https://pubmed.ncbi.nlm.nih.gov/16271483/
68. 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). https://pubmed.ncbi.nlm.nih.gov/16413798/
69. 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). https://pubmed.ncbi.nlm.nih.gov/16339793/
70. 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) https://pubmed.ncbi.nlm.nih.gov/16180210/
71. 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). https://pubmed.ncbi.nlm.nih.gov/16217042/
72. 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) https://ieeexplore.ieee.org/document/1546414
73. 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) https://ieeexplore.ieee.org/document/1495883
74. 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) https://pubmed.ncbi.nlm.nih.gov/15759570/
75. 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) https://pubmed.ncbi.nlm.nih.gov/15866127/
76. 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) https://pubmed.ncbi.nlm.nih.gov/14727749/
77. 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) https://pubmed.ncbi.nlm.nih.gov/12817934/
78. 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) https://www.academia.edu/5070516
79. 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). https://pubmed.ncbi.nlm.nih.gov/10767090/