Line Garnero (1955-2009)
La pluridisciplinarité au cœur
Hommage à Line Garnero, Directrice de recherche de 1re classe au CNRS
Line Garnero passed away in the night between July 12 and 13, 2009 after an intense but too short a battle against cancer. Line was one of the most active scientific figures of the medical imaging community. A major motivation to Line has always been to facilitate communication and mutual understanding amongst her collaborators, to help them build strong multidisciplinary partnerships and projects. In that respect, she was a visionary of the evolution in the organization and conceptions of academic research for multidisciplinary research. She has always been a strong proponent of an open and translational approach to research in applied science, within her group, her laboratory and as a Deputy Director of the new Research Center of the Brain and Spinal Chord Institute which has been inaugurated just recently on the campus of La Salpêtrière Hospital in Paris (France). This research center illustrates the multidisciplinary approach that Line cherished and nurtured all along her career: 400 scientists are now sharing the same environment and workspace to work on all aspects of neuroscience research: from genes to behavior and neuroimaging. This short text is a tribute to Line, and an attempt from some of her closest collaborators, to summarize her major contributions.
1. J. Brunol, L. Garnero, and J.C. Saget, “Analysis of Coding of Information in HighResolution Longitudinal Tomography”, Optics Communications 35(3), 311-316 (1980).
2. L. Garnero, J. Brunol, and S. Lowenthal, “Statistical Problems in Transaxial Tomography - Application To Localized Tomography”, Optica Acta 28(8), 1071-1085 (1981).
3. L. Garnero and J. Brunol, “Technical Problems in Emission Computed AxialTomography”, Optics Communications 48(1), 21-27 (1983).
4. N. De Beaucoudrey and L. Garnero, “Off-Axis Multi-Slit Coding for Tomographic XRay-Imaging of Microplasma”, Optics Communications 49(2), 103-107 (1984).
5. L. Garnero, “Non-iterative, limited-angle tomographic imaging using eigenfunctions adapted to space-limited objects,” Optica Acta 31(4), 391-401 (1984).
6. N. De Beaucoudrey, L. Garnero, and J.P. Hugonin, “Tomographic Imaging with Multislit Coding Aperture - Results In Laser Plasmas X-Ray Microimaging”, Acta Polytechnica Scandinavica-Applied Physics Series (150), 289-292 (1985).
7. L. Garnero, J.P. Hugonin, and N. De Beaucoudrey, “Iterative limited angle tomographic imaging using constrained natural pixels”, Acta Polytechnica Scandinavica-Applied Physics Series (150), 268-271 (1985).
8. L. Garnero, J.P. Hugonin, and N. De Beaucoudrey, “Limited-Angle Tomographic Imaging Using A Constrained Natural-Pixel Decomposition”, Optica Acta 33(5), 659-671 (1986).
9. N. Joachimowicz, J.C. Bolomey, C. Pichot, A. Franchois, J.P. Hugonin, L. Garnero, and G. Gaboriaud, “Quantitative Microwave Tomography For Noninvasive Control Of Hyperthermia - Preliminary Numerical Results”, presented at the Meeting on Advances in Medical Microwave Imaging, Lille, France, Nov 17, 1989.
10. M. Azzi, P. Turlier, J.R. Bernard, and L. Garnero, “Mapping Solid Concentration In A Circulating Fluid Bed Using Gammametry”, Powder Technology 67(1), 27-36 (1991).
11. L. Garnero, A. Franchois, J.P. Hugonin, C. Pichot, and N. Joachimowicz, “Microwave imaging - complex permittivity reconstruction by simulated annealing”, IEEE Transactions On Microwave Theory And Techniques, 39(11), 1801-1807 (1991).
12. D. Prévost, P. Lalanne, L. Garnero, and P. Chavel, “Quasi-static algorithm for image restoration preserving discontinuities”, Proc. SPIE, vol 2304, p. 156-164, 1994.
13. D. Prévost, P. Lalanne, L. Garnero, and P. Chavel, “Algorithm and hardware solution to VLSI retinas performing stochastic optimization”, Proc. SPIE, vol 2424, p. 478-488, 1995.
14. B. Renault and L. Garnero, “New developments in electric and magnetic functional brain imaging”, M S-Medecine Sciences 12, 119-122 (1996).
15. S. Baillet and L. Garnero, “A Bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem”, IEEE Transactions on Biomedical Engineering 44(5), 374-385 (1997).
16. F. Coutand, L. Garnero, and J. Fonroget, “Anatomical data fusion for quantitative reconstruction in myocardial tomoscintigraphy using a spline model of the thorax organs”, IEEE Transactions on Biomedical Engineering 44(7), 575-584 (1997).
17. L. Garnero, S. Baillet, G. Marin, B. Renault, C. Guerin, and G. Meunier, “Introducing priors in the EEG/MEG inverse problem”, 14th International Congress of EEG and Clinical Neurophysiology, Florence, Italy, Aug 24-29, 1997.
18. C. Guerin, G. Marin, L. Garnero, and G. Meunier, “Methods based on finite elements for the computation of electric and magnetic fields in electroencephalography and magnetoencephalography”, Journal De Physique III 7(12), 2419-2431 (1997).
19. J.P. Lachaux, L. Pezard, L. Garnero, C. Pelte, B. Renault, F.J. Varela, and J. Martinerie,“Spatial extension of brain activity fools the single-channel reconstruction of EEG dynamics”, Human Brain Mapping 5(1), 26-47 (1997).
20. V. Pouthas, P. Maquet, L. Garnero, A.M. Ferrandez, and B. Renault, “Neural bases of time estimation: a PET and ERP study”, 14th International Congress of EEG and Clinical Neurophysiology, Florence, Italy, Aug 24-29, 1997.
21. U. Hassler, L. Garnero, and P. Rizo, “X-ray dual-energy calibration based on estimated spectral properties of the experimental system”, IEEE Transactions on Nuclear Science 45(3), 1699-1712 (1998).
22. G. Marin, C. Guerin, S. Baillet, L. Garnero, and G. Meunier, “Influence of skull anisotropy for the forward and inverse problem in EEG: Simulation studies using FEM on realistic head models”, Human Brain Mapping 6(4), 250-269 (1998).
23. V. Pouthas, L. Garnero, A.M. Ferrandez, and B. Renault, “Spatial and temporal imaging of brain activity during processing of temporal information”, Cahiers De Psychologie Cognitive-Current Psychology of Cognition 17(4-5), 1068-1069 (1998).
24. S. Baillet, L. Garnero, G. Marin, and J.P. Hugonin, “Combined MEG and EEG source imaging by minimization of mutual information”, IEEE Transactions on Biomedical Engineering, 46(5), 522-534 (1999).
25. Y. Cointepas, I. Bloch, and L. Garnero, “A discrete homotopic deformable model dealing with objects with different local dimensions”, 8th International Conference on Discrete Geometry for Computer Imagery (DGCI 99), Marne-la-Vallée, France, Mar 17-19, 1999.
26. L. Garnero, J. Fonroget, F. Coutand, and P. Bailly, “Inverse problems in emission tomography - Recent trends”, Annales de Physique, 24(3), 153-193 (1999).
27. S. Baillet, L. Garnero, and B. Renault, “Distributed source reconstruction using a nonlinear spatio-temporal regularization method: An alternative to LORETA”, 10th International Conference on Biomagnetism, Santa Fe, Nm, 1999, 2000.
28. V. Pouthas, L. Garnero, A.M. Ferrandez, and B. Renault, “ERPs and PET analysis of time perception: Spatial and temporal brain mapping during visual discrimination tasks”, Human Brain Mapping, 10(2), 49-60 (2000).
29. H. Rifai, I. Bloch, S. Hutchinson, J. Wiart, and L. Garnero, “Segmentation of the skull in MRI volumes using and taking the partial volume effect into account deformable model”, Medical Image Analysis, 4(3), 219-233 (2000).
30. M. Senasli, L. Garnero, A. Herment, and E. Mousseaux, “3D reconstruction of vessel lumen from very few angiograms by dynamic contours using a stochastic approach”, Graphical Models, 62(2), 105-127 (2000).
31. S. Baillet, L. Gavit, O. David, and L. Garnero, “Multiresolution schemes for M/EEG source characterization”, Neuroimage, 13(6), S68-S68 (2001).
32. S. Baillet, J.J. Riera, G. Marin, J.F. Mangin, J. Aubert, and L. Garnero, “Evaluation of inverse methods and head models for EEG source localization using a human skull phantom”, Physics in Medicine and Biology, 46(1), 77-96 (2001).
33. Y. Cointepas, I. Bloch, and L. Garnero, “A cellular model for multi-objects multidimensional homotopic deformations”, Pattern Recognition, 34(9), 1785-1798 (2001).
34. Y. Cointepas, J. F. Mangin, L. Garnero, J. B. Poline, and H. Benali, “BrainVISA: Software platform for visualization and analysis of multi-modality brain data”, Neuroimage 13(6), S98-S98 (2001).
35. A.C. Croize, L. Garnero, R. Ragot, H. Benali, and Y. Burnod, “Spatio-temporal dynamics of cortical networks supporting visuospatial working memory processes revealed by a MEG, EEG and fMRI study”, International Journal of Psychophysiology, 41(3), 224-224 (2001).
36. A.C. Croize, L. Garnero, R. Ragot, H. Benali, and Y. Burnod, “Spatio-temporal model of neuronal networks involved in a visuo-spatial”, Neuroimage, 13(6), S653-S653 (2001).
37. O. David, L. Garnero, and F. Varela, “Estimation of the phase synchrony of neural sources via the MEG/EEG inverse problem”, Neuroimage, 13(6), S105-S105 (2001).
38. P. Dokladal, R. Urtasun, I. Bloch, and L. Garnero, “Segmentation of 3D head MR images using morphological reconstruction under constraints and automatic selection of markers”, International Conference on Image Processing (ICIP 2001), Thessaloniki, Greece, Oct 07-10, 2001.
39. L. Gavit, S. Baillet, J.F. Mangin, J. Pescatore, and L. Garnero, “Multiresolution framework to MEG/EEG source imaging”, IEEE Transactions on Biomedical Engineering, 48(10), 1080-1087 (2001).
40. J. Mattout, L. Garnero, M. Pelegrini-Issac, and H. Benali, “Multivariate source localization approach for MEG/EEG inverse problem”, Neuroimage, 13(6), S196-S196 (2001).
41. J. Mattout, L. Garnero, M. Pelegrini-Issac, H. Benali, and I. Ieee, “Statistical method for source localization in MEG/EEG tomographic reconstruction problem”, International Conference on Image Processing (ICIP 2001), Thessaloniki, Greece, Oct 07-10, 2001.
42. S. Meunier, L. Garnero, A. Ducorps, L. Mazieres, S. Lehericy, S.T. du Montcel, B. Renault, and M. Vidailhet, “Human brain mapping in dystonia reveals both endophenotypic traits and adaptive reorganization”, Annals of Neurology, 50(4), 521-527 (2001).
43. J. Pescatore, I. Bloch, S. Baillet, and L. Garnero, “FEM tetrahedral mesh of weed tissues from MRI under geometrical and topological constraints for applications in EEG and MEG”, Neuroimage, 13(6), S218-S218 (2001).
44. M. Chupin, D. Hasboun, F. Poupon, S. Baillet, L. Garnero, and I. Ieee, “Segmentation of the amygdalo-hippocampal complex by competitive region growing”, IEEE International Symposium on Biomedical Imaging, Washington, D.C., Jul 07-10, 2002.
45. O. David and L. Garnero, “Time-coherent expansion of MEG/EEG cortical sources”, Neuroimage, 17(3), 1277-1289 (2002).
46. O. David, L. Garnero, D. Cosmelli, and F.J. Varela, “Estimation of neural dynamics from MEG/EEG cortical current density maps: Application, to the reconstruction of large-scale cortical synchrony”, IEEE Transactions on Biomedical Engineering 49(9), 975-987 (2002).
47. D.L. Cheyne, W. Gaetz, L. Garnero, J.P. Lachaux, A. Ducorps, D. Schwartz, and F.J. Varela, “Neuromagnetic imaging of cortical oscillations accompanying tactile stimulation”, Cognitive Brain Research, 17(3), 599-611 (2003).
48. Y. Cojan, S. Meunier, S. Lehericy, L. Garnero, M. Vidailhet, and B. Renault, “Neural networks involved in akinesia in Parkinson’s disease: A MEG/fMRI study”, Journal of Psychophysiology, 17(1), 55-55 (2003).
49. O. David, D. Cosmelli, D. Hasboun, and L. Garnero, “A multitrial analysis for revealing significant corticocortical networks in magnetoencephalography and electroencephalography”, Neuroimage, 20(1), 186-201 (2003).
50. P. Dokladal, I. Bloch, M. Couprie, D. Ruijters, R. Urtasun, and L. Garnero,“Topologically controlled segmentation of 3D magnetic resonance images of the head by using morphological operators”, Pattern Recognition, 36(10), 2463-2478 (2003).
51. P.J. Lahaye, J.B. Poline, G. Flandin, S. Dodel, and L. Garnero, “Functional connectivity: studying nonlinear, delayed interactions between BOLD signals”, Neuroimage, 20(2), 962-974 (2003).
52. S. Lehericy, S. Meunier, L. Garnero, and M. Vidailhet, “Dystonia: contributions of functional imaging and magnetoencephalography”, Revue Neurologique, 159(10), 874-879 (2003).
53. S. Meunier, S. Lehericy, L. Garnero, and M. Vidailhet, “Dystonia: Lessons from brain mapping”, Neuroscientist, 9(1), 76-81 (2003).
54. K. N’Diaye, L. Garnero, and V. Pouthas, “Contingent negative/magnetic variation during time perception: Simultaneous MEG and EEG recordings”, Journal of Psychophysiology, 17(1), 56-56 (2003).
55. D. Cosmelli, D. Olivier, J.P. Lachaux, J. Martinerie, L. Garnero, B. Renault, and F. Varela, “Waves of consciousness: ongoing cortical patterns during binocular rivalry”, Neuroimage, 23(1), 128-140 (2004).
56. A.C. Croize, R. Ragot, L. Garnero, A. Ducorps, M. Pelegrini-Issac, K. Dauchot, H. Benali, and Y. Burnod, “Dynamics of parietofrontal networks underlying visuospatial short-term memory encoding”, Neuroimage, 23(3), 787-799 (2004).
57. K. Jerbi, S. Baillet, J.C. Mosher, G. Nolte, L. Garnero, and R.M. Leahy, “Localization of realistic cortical activity in MEG using current multipoles”, Neuroimage, 22(2), 779-793 (2004).
58. K. Jerbi, J.P. Lachaux, S. Baillet, L. Garnero, and Ieee, “Imaging cortical oscillations during sustained visuomotor coordination in MEG”, 2nd IEEE International Symposium on Biomedical Imaging, Arlington, VA, Apr 15-18, 2004.
59. P.J. Lahaye, S. Baillet, J.B. Poline, L. Garnero, and Ieee, “Fusion of simultaneous fMRI/EEG data based on the electro-metabolic coupling”, 2nd IEEE International Symposium on Biomedical Imaging, Arlington, VA, Apr 15-18, 2004.
60. K. N’Diaye, R. Ragot, L. Garnero, and V. Pouthas, “What is common to brain activity evoked by the perception of visual and auditory filled durations? A study with MEG and EEG co-recordings”, Cognitive Brain Research, 21(2), 250-268 (2004).
61. F. Amor, D. Rudrauf, V. Navarro, K. N’Diaye, L. Garnero, J. Martinerie, and M. Le Van Quyen, “Imaging brain synchrony at high spatio-temporal resolution: application to MEG signals during absence seizures”, Signal Processing, 85(11), 2101-2111 (2005).
62. I. Bloch, J. Pescatore, and L. Garnero, “A new characterization of simple elements in a tetrahedral mesh”, Graphical Models, 67(4), 260-284 (2005).
63. F. Darvas, M. Rautiainen, D. Pantazis, S. Baillet, H. Benali, J.C. Mosher, L. Garnero, and R.M. Leahy, “Investigations of dipole localization accuracy in MEG using the bootstrap”, Neuroimage, 25(2), 355-368 (2005).
64. C. Delmaire, A. Krainik, S.T. du Montcel, E. Gerardin, S. Meunier, J.F. Mangin, S. Sangla, L. Garnero, M. Vidailhet, and S. Lehericy, “Disorganized somatotopy in the putamen of patients with focal hand dystonia”, Neurology, 64(8), 1391-1396 (2005).
65. J. Mattout, M. Pelegrini-Issac, L. Garnero, and H. Benali, “Multivariate source prelocalization (MSP): Use of functionally informed basis functions for better conditioning the MEG inverse problem”, Neuroimage, 26(2), 356-373 (2005).
66. C. Menuel, L. Garnero, E. Bardinet, F. Poupon, D. Phalippou, and D. Dormont,“Characterization and correction of distortions in stereotactic magnetic resonance imaging for bilateral subthalamic stimulation in Parkinson disease”, Journal of Neurosurgery, 103(2), 256-266 (2005).
67. K. N’Diaye, M. Pfeuty, R. Ragot, L. Garnero, and V. Pouthas, “Parsing the temporal evolution of brain activity in duration discrimination with electro- and magnetoencephalography”, 12th Annnual Meeting of the Cognitive-Neuroscience-Society, New York, NY, Apr 09-12, 2005.
68. M. Besserve, L. Garnero, and J. Martinerie, “Cross-spectral discriminant analysis (CSDA) for the classification of brain computer interfaces” 3rd International IEEE/EMBS Conference on Neural Engineering, Kohala Coast, HI, May 02-05, 2007.
69. M. Besserve, K. Jerbi, F. Laurent, S. Baillet, J. Martinerie, and L. Garnero,“Classification methods for ongoing EEG and MEG signals”, Biological Research, 40(4), 415-437 (2007).
70. M. Chupin, A.R. Mukuna-Bantumbakulu, D. Hasboun, E. Bardinet, S. Baillet, S. Kinkingnehun, L. Lemieux, B. Dubois, and L. Garnero, “Anatomically constrained region deformation for the automated segmentation of the hippocampus and the amygdala: Method and validation on controls and patients with Alzheimer’s disease”, Neuroimage, 34(3), 996-1019 (2007).
71. Z. Cimatti, D.P Schwartz, F. Bourdain, S. Meunier, J.P. Bleton, M. Vidailhet, B. Renault, and L. Garnero, “Time-frequency analysis reveals decreased high-frequency oscillations in writer’s cramp”, Brain, 130, 198-205 (2007).
72. K. Jerbi, J.P. Lachaux, K. N’Diaye, D. Pantazis, R.M. Leahy, L. Garnero, and S. Baillet, “Coherent neural representation of hand speed in humans revealed by MEG imaging”, Proceedings of the National Academy of Sciences of the United States of America 104(18), 7676-7681 (2007).
73. M. Besserve, J. Martinerie, and L. Garnero, “Non-invasive classification of cortical activities for Brain Computer Interface: A variable selection approach”, 5th IEEE International Symposium on Biomedical Imaging – From Nano to Macro, Paris, France, May 14-17, 2008.
74. M. Besserve, M. Philippe, G. Florence, F. Laurent, L. Garnero, and J. Martinerie,“Prediction of performance level during a cognitive task from ongoing EEG oscillatory activities”, Clinical Neurophysiology, 119(4), 897-908 (2008).
75. M. Chupin, G. Chetelat, L. Lemieux, B. Dubois, L. Garnero, H. Benali, F. Eustache, S. Lehericy, B. Desgranges, and O. Colliot, “Fully automatic hippocampus segmentation discriminates between early Alzheimer’s disease and normal aging, 5th IEEE International Symposium on Biomedical Imaging - From Nano to Macro, Paris, France, May 14-17, 2008.
76. M. Chupin, E. Gerardin, R. Cuingnet, C. Boutet, L. Lemieux, S. Lehericy, H. Benali, L. Garnero, and O. Colliot, “Fully Automatic Hippocampus Segmentation and Classification in Alzheimer’s Disease and Mild Cognitive Impairment Applied on Data From ADNI”, 1st Computational Hippocampal Anatomy and Physiology Workshop, New York, NY, Sept 06, 2008.
77. O. Colliot, G. Chetelat, M. Chupin, B. Desgranges, B. Magnin, H. Benali, B. Dubois, L. Garnero, F. Eustache, and S. Lehericy, “Discrimination between Alzheimer disease, mild cognitive impairment, and normal aging by using automated segmentation of the hippocampus”, Radiology, 248(1), 194-201 (2008).
78. A. Dossevi, D. Cosmelli, L. Garnero, and H. Ammari, “Multivariate reconstruction of functional networks from cortical sources dynamics in MEG/EEG”, IEEE Transactions on Biomedical Engineering 55(8), 2074-2086 (2008).
79. L. Bergouignan, M. Chupin, Y. Czechowska, S. Kinkingnehun, C. Lemogne, G. Le Bastard, M. Lepage, L. Garnero, O. Colliot, and P. Fossati, “Can voxel based morphometry, manual segmentation and automated segmentation equally detect hippocampal volume differences in acute depression?”, Neuroimage, 45(1), 29-37 (2009).
80. M. Chupin, A. Hammers, R.S.N. Liu, O. Colliot, J. Burdett, E. Bardinet, J.S. Duncan, L. Garnero, and L. Lemieux, “Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: Method and validation”, Neuroimage, 46(3), 749-761 (2009).
81. S.S. Dalal, S. Baillet, C. Adam, A. Ducorps, D. Schwartz, K. Jerbi, O. Bertrand, L. Garnero, J. Martinerie, and J.P. Lachaux, “Simultaneous MEG and intracranial EEG recordings during attentive reading”, Neuroimage, 45(4), 1289-1304 (2009).
82. J.L.P. Soto, D. Pantazis, K. Jerbi, J.P. Lachaux, L. Garnero, and R.M. Leahy,“Detection of Event-Related Modulations of Oscillatory Brain Activity with
Multivariate Statistical Analysis of MEG Data”, Human Brain Mapping 30(6), 1922-1934 (2009).
83. E. Gerardin, G. Chételat, M. Chupin, R. Cuingnet, B. Desgranges, H.-S. Kim, M. Niethammer, B. Dubois, S. Lehéricy, L. Garnero, F. Eustache, O. Colliot, and the ADNI, “Multidimensional classification of hippocampal shape features discriminates Alzheimer’s disease and mild cognitive impairment from normal aging”, Neuroimage, 2009, 47, 1476-1486
84. M. Chupin, E. Gérardin, R. Cuingnet, C. Boutet, L. Lemieux, S. Lehéricy, H. Benali, L. Garnero, O. Colliot and the ADNI, “Fully automatic hippocampus segmentation and classification in Alzheimer’s disease and mild cognitive impairment applied on data from ADNI”, Hippocampus, 2009, 19, 579-587.