Search

Your search keyword '"POTTIER C"' showing total 223 results
Start Over Author "POTTIER C" Publication Year Range Last 50 years
223 results on '"POTTIER C"'

1. Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis

Author

Lefort, M., Sharmin, S., Andersen, J. B., Vukusic, S., Casey, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., De Sèze, J., Maillart, E., Zephir, H., Labauge, P., Defer, G., Lebrun-Frenay, C., Moreau, T., Berger, E., Clavelou, P., Pelletier, J., Stankoff, B., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Wahab, A., Camdessanché, J. P., Maurousset, A., Ben Nasr, H., Hankiewicz, K., Pottier, C., Maubeuge, N., Dimitri-Boulos, D., Nifle, C., Laplaud, D. A., Horakova, D., Havrdova, E. K., Alroughani, R., Izquierdo, G., Eichau, S., Ozakbas, S., Patti, F., Onofrj, M., Lugaresi, A., Terzi, M., Grammond, P., Grand’Maison, F., Yamout, B., Prat, A., Girard, M., Duquette, P., Boz, C., Trojano, M., McCombe, P., Slee, M., Lechner-Scott, J., Turkoglu, R., Sola, P., Ferraro, D., Granella, F., Shaygannejad, V., Prevost, J., Maimone, D., Skibina, O., Buzzard, K., Van der Walt, A., Karabudak, R., Van Wijmeersch, B., Csepany, T., Spitaleri, D., Vucic, S., Koch-Henriksen, N., Sellebjerg, F., Soerensen, P. S., Hilt Christensen, C. C., Rasmussen, P. V., Jensen, M. B., Frederiksen, J. L., Bramow, S., Mathiesen, H. K., Schreiber, K. I., Butzkueven, H., Magyari, M., Kalincik, T., and Leray, E.

Published
2022
Full Text
View/download PDF

2. Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

Author

Brochet, B., Casey, R., Cotton, F., De Sèze, J., Douek, P., Guillemin, F., Laplaud, D., Lebrun-Frenay, C., Mansuy, L., Moreau, T., Olaiz, J., Pelletier, J., Rigaud-Bully, C., Stankoff, B., Vukusic, S., Marignier, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., Collongues, N., Lubetzki, C., Vermersch, P., Labauge, P., Defer, G., Cohen, M., Fromont, A., Wiertlewsky, S., Berger, E., Clavelou, P., Audoin, B., Giannesini, C., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Créange, A., Camdessanché, J.-P., Faure, J., Maurousset, A., Patry, I., Hankiewicz, K., Pottier, C., Maubeuge, N., Labeyrie, C., Nifle, C., Ameli, R., Anxionnat, R., Attye, A., Bannier, E., Barillot, C., Ben Salem, D., Boncoeur-Martel, M.-P., Bonneville, F., Boutet, C., Brisset, J.-C., Cervenanski, F., Claise, B., Commowick, O., Constans, J.-M., Dardel, P., Desal, H., Dousset, Vincent, Durand-Dubief, F., Ferre, J.-C., Gerardin, E., Glattard, T., Grand, S., Grenier, T., Guillevin, R., Guttmann, C., Krainik, A., Kremer, S., Lion, S., Menjot de Champfleur, N., Mondot, L., Outteryck, O., Pyatigorskaya, N., Pruvo, J.-P., Rabaste, S., Ranjeva, J.-P., Roch, J.-A., Sadik, J.C., Sappey-Marinier, D., Savatovsky, J., Tanguy, J.-Y., Tourbah, A., Tourdias, T., Roca, P., Colas, L., Tucholka, A., Rubini, P., Cackowski, S., Ding, J., Budzik, J.-F., Renard, F., Doyle, S., Barbier, E.L., Bousaid, I., Lassau, N., and Verclytte, S.

Published
2020
Full Text
View/download PDF

3. New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions

Author

Ameli, R., Anxionnat, R., Audoin, B., Attye, A., Bannier, E., Barillot, C., Ben Salem, D., Boncoeur-Martel, M.-P., Bonhomme, G., Bonneville, F., Boutet, C., Brisset, J.C., Cervenanski, F., Claise, B., Commowick, O., Constans, J.-M., Cotton, F., Dardel, P., Desal, H., Dousset, V., Durand-Dubief, F., Ferre, J.-C., Gaultier, A., Gerardin, E., Glattard, T., Grand, S., Grenier, T., Guillevin, R., Guttmann, C., Krainik, A., Kremer, S., Lion, S., Champfleur, N. Menjot De, Mondot, L., Outteryck, O., Pyatigorskaya, N., Pruvo, J.-P., Rabaste, S., Ranjeva, J.-P., Roch, J.-A., Sadik, J.-C., Sappey-Marinier, D., Savatovsky, J., Stankoff, B., Tanguy, J.-Y., Tourbah, A., Tourdias, T., Brochet, B., Casey, R., De Sèze, J., Douek, P., Guillemin, F., Laplaud, D., Lebrun-Frenay, C., Mansuy, L., Moreau, T., Olaiz, J., Pelletier, J., Rigaud-Bully, C., Vukusic, S., Debouverie, M., Edan, G., Ciron, J., Lubetzki, C., Vermersch, P., Labauge, P., Defer, G., Berger, E., Clavelou, P., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Créange, A., Camdessanché, J.-P., Bakchine, S., Maurousset, A., Patry, I., De Broucker, T., Pottier, C., Neau, J.-P., Labeyrie, C., Nifle, C., Brisset, Jean-Christophe, Kremer, Stephane, Hannoun, Salem, Bonneville, Fabrice, Durand-Dubief, Francoise, Tourdias, Thomas, Barillot, Christian, Guttmann, Charles, Vukusic, Sandra, Dousset, Vincent, and Cotton, Francois

Published
2020
Full Text
View/download PDF

4. Identification, Prevalence and Susceptibility Profile of Candida Isolates at the Pasteur Institute in Côte D'ivoire from 2017 to 2019

Author

Bonouman Ira A.V., Mboh R., Roger F., Krasteva D., Bellet V., Koffi D., Noell J., Pottier C., Drakulovski P., Menan H., Toure O., Dosso M., Ranque S., and Bertout S.

Subjects
Marketing, Pharmacology, Organizational Behavior and Human Resource Management, Strategy and Management, Drug Discovery, Pharmaceutical Science
Abstract

This study was conducted in Côte d’Ivoire to determine the respective prevalence of Candida species and to study their susceptibility profile to antifungal agents to identify the emergence of resistance.This retrospective study was conducted from 2017 to 2019 at the Institute Pasteur of Côte d’Ivoire on patients with fungal disease. The yeasts isolated and identified in Côte d’Ivoire were subcultured on a chromogenic medium and identified with MALDI-TOF-MS. Sensitivity tests were performed using the CLSI method and evaluated by the M27. In total, 227 Candida spp. were isolated from 1941 patients. Most of the samples were vaginal swabs (120/228). Using the conventional method, C. albicans was prevalent (52.6%). There were mixtures of 2 to 4 species in 36.8% of the samples. Thus MALDI-TOF-MS identified in 315 isolates 13 distinct species, C. tropicalis was prevalent at 35.2%, and the species in both C. albicans and C. parapsilosis complexes were differentiated. This study highlights the hurdle of correct yeast identification in developing countries. The transition from conventional to modern MALDI-TOF based identification of these life-threatening opportunistic pathogens is mandatory and should be emphasised as a public health priority.

Published
2023
Full Text
View/download PDF

7. Comparative effectiveness of teriflunomide vs dimethyl fumarate in multiple sclerosis

Author

Laplaud, David-Axel, Casey, Romain, Barbin, Laetitia, Debouverie, Marc, De Sèze, Jérôme, Brassat, David, Wiertlewski, Sandrine, Brochet, Bruno, Pelletier, Jean, Vermersch, Patrick, Edan, Gilles, Lebrun-Frenay, Christine, Clavelou, Pierre, Thouvenot, Eric, Camdessanché, Jean-Philippe, Tourbah, Ayman, Stankoff, Bruno, Al Khedr, Abdullatif, Cabre, Philippe, Lubetzki, Catherine, Papeix, Caroline, Berger, Eric, Heinzlef, Olivier, Debroucker, Thomas, Moreau, Thibault, Gout, Olivier, Bourre, Bertrand, Wahab, Abir, Labauge, Pierre, Magy, Laurent, Defer, Gilles, Guennoc, Anne-Marie, Maubeuge, Nicolas, Labeyrie, Céline, Patry, Ivania, Nifle, Chantal, Casez, Olivier, Michel, Laure, Rollot, Fabien, Leray, Emmanuelle, Vukusic, Sandra, Foucher, Yohann, Fontaine, B., Marignier, R., Durand-Dubief, F., Mathey, G., Le Page, E., Peaureaux-Averseng, D., Ouallet, J.C., Ruet, A., Collongues, N., Hautecoeur, P., Zephir, H., Maillard, E., Cohen, M., Derache, N., Branger, P., Ayrignac, X., Carra-Dalliere, C., Fromont, A., Chamard-Witkowski, L., Taithe, F., Moisset, X., Audoin, B., Rico-Lamy, A., Castelnovo, G., Giannesini, C., Fagniez, O., Bensa, C., Gueguen, A., Kasonde, I. Tabellah, De Vilmarest, A., Montcuquet, A., Vaillants, M., Beltran, S., Creange, A., Ayache, S., Abdellaoui, M., Pottier, C., Slesari, I., Deburghraeve, V., Neau, J.P., Servan, J., Pico, F., Henry, C., and Hankiewicz, K.

Published
2019
Full Text
View/download PDF

15. Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis

Author

Lefort, M, Sharmin, S, Andersen, JB, Vukusic, S, Casey, R, Debouverie, M, Edan, G, Ciron, J, Ruet, A, De Seze, J, Maillart, E, Zephir, H, Labauge, P, Defer, G, Lebrun-Frenay, C, Moreau, T, Berger, E, Clavelou, P, Pelletier, J, Stankoff, B, Gout, O, Thouvenot, E, Heinzlef, O, Al-Khedr, A, Bourre, B, Casez, O, Cabre, P, Montcuquet, A, Wahab, A, Camdessanche, JP, Maurousset, A, Ben Nasr, H, Hankiewicz, K, Pottier, C, Maubeuge, N, Nifle, C, Laplaud, DA, Horakova, D, Dimitri-Boulos, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, Ozakbas, S, Patti, F, Onofrj, M, Lugaresi, A, Terzi, M, Grammond, P, Grand'Maison, F, Yamout, B, Prat, A, Girard, M, Duquette, P, Boz, C, Trojano, M, McCombe, P, Slee, M, Lechner-Scott, J, Turkoglu, R, Sola, P, Ferraro, D, Granella, F, Shaygannejad, V, Prevost, J, Maimone, D, Skibina, O, Buzzard, K, Van der Walt, A, Karabudak, R, Van Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Koch-Henriksen, N, Sellebjerg, F, Soerensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Butzkueven, H, Magyari, M, Kalincik, T, Leray, E, Lefort, M, Sharmin, S, Andersen, JB, Vukusic, S, Casey, R, Debouverie, M, Edan, G, Ciron, J, Ruet, A, De Seze, J, Maillart, E, Zephir, H, Labauge, P, Defer, G, Lebrun-Frenay, C, Moreau, T, Berger, E, Clavelou, P, Pelletier, J, Stankoff, B, Gout, O, Thouvenot, E, Heinzlef, O, Al-Khedr, A, Bourre, B, Casez, O, Cabre, P, Montcuquet, A, Wahab, A, Camdessanche, JP, Maurousset, A, Ben Nasr, H, Hankiewicz, K, Pottier, C, Maubeuge, N, Nifle, C, Laplaud, DA, Horakova, D, Dimitri-Boulos, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, Ozakbas, S, Patti, F, Onofrj, M, Lugaresi, A, Terzi, M, Grammond, P, Grand'Maison, F, Yamout, B, Prat, A, Girard, M, Duquette, P, Boz, C, Trojano, M, McCombe, P, Slee, M, Lechner-Scott, J, Turkoglu, R, Sola, P, Ferraro, D, Granella, F, Shaygannejad, V, Prevost, J, Maimone, D, Skibina, O, Buzzard, K, Van der Walt, A, Karabudak, R, Van Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Koch-Henriksen, N, Sellebjerg, F, Soerensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Butzkueven, H, Magyari, M, Kalincik, T, and Leray, E

Abstract

BACKGROUND: Natalizumab and fingolimod are used as high-efficacy treatments in relapsing-remitting multiple sclerosis. Several observational studies comparing these two drugs have shown variable results, using different methods to control treatment indication bias and manage censoring. The objective of this empirical study was to elucidate the impact of methods of causal inference on the results of comparative effectiveness studies. METHODS: Data from three observational multiple sclerosis registries (MSBase, the Danish MS Registry and French OFSEP registry) were combined. Four clinical outcomes were studied. Propensity scores were used to match or weigh the compared groups, allowing for estimating average treatment effect for treated or average treatment effect for the entire population. Analyses were conducted both in intention-to-treat and per-protocol frameworks. The impact of the positivity assumption was also assessed. RESULTS: Overall, 5,148 relapsing-remitting multiple sclerosis patients were included. In this well-powered sample, the 95% confidence intervals of the estimates overlapped widely. Propensity scores weighting and propensity scores matching procedures led to consistent results. Some differences were observed between average treatment effect for the entire population and average treatment effect for treated estimates. Intention-to-treat analyses were more conservative than per-protocol analyses. The most pronounced irregularities in outcomes and propensity scores were introduced by violation of the positivity assumption. CONCLUSIONS: This applied study elucidates the influence of methodological decisions on the results of comparative effectiveness studies of treatments for multiple sclerosis. According to our results, there are no material differences between conclusions obtained with propensity scores matching or propensity scores weighting given that a study is sufficiently powered, models are correctly specified and positivity assumption is ful

Published
2022

16. Impact of methodological choices in comparative effectiveness studies:application in natalizumab versus fingolimod comparison among patients with multiple sclerosis

Author

Lefort, M., Sharmin, S., Andersen, J. B., Vukusic, S., Casey, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., De Sèze, J., Maillart, E., Zephir, H., Labauge, P., Defer, G., Lebrun-Frenay, C., Moreau, T., Berger, E., Clavelou, P., Pelletier, J., Stankoff, B., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Wahab, A., Camdessanché, J. P., Maurousset, A., Ben Nasr, H., Hankiewicz, K., Pottier, C., Maubeuge, N., Dimitri-Boulos, D., Nifle, C., Laplaud, D. A., Horakova, D., Havrdova, E. K., Alroughani, R., Izquierdo, G., Eichau, S., Ozakbas, S., Patti, F., Onofrj, M., Lugaresi, A., Terzi, M., Grammond, P., Grand’Maison, F., Yamout, B., Prat, A., Girard, M., Duquette, P., Boz, C., Trojano, M., McCombe, P., Slee, M., Lechner-Scott, J., Turkoglu, R., Sola, P., Ferraro, D., Granella, F., Shaygannejad, V., Prevost, J., Maimone, D., Skibina, O., Buzzard, K., Van der Walt, A., Karabudak, R., Van Wijmeersch, B., Csepany, T., Spitaleri, D., Vucic, S., Koch-Henriksen, N., Sellebjerg, F., Soerensen, P. S., Hilt Christensen, C. C., Rasmussen, P. V., Jensen, M. B., Frederiksen, J. L., Bramow, S., Mathiesen, H. K., Schreiber, K. I., Butzkueven, H., Magyari, M., Kalincik, T., Leray, E., Lefort, M., Sharmin, S., Andersen, J. B., Vukusic, S., Casey, R., Debouverie, M., Edan, G., Ciron, J., Ruet, A., De Sèze, J., Maillart, E., Zephir, H., Labauge, P., Defer, G., Lebrun-Frenay, C., Moreau, T., Berger, E., Clavelou, P., Pelletier, J., Stankoff, B., Gout, O., Thouvenot, E., Heinzlef, O., Al-Khedr, A., Bourre, B., Casez, O., Cabre, P., Montcuquet, A., Wahab, A., Camdessanché, J. P., Maurousset, A., Ben Nasr, H., Hankiewicz, K., Pottier, C., Maubeuge, N., Dimitri-Boulos, D., Nifle, C., Laplaud, D. A., Horakova, D., Havrdova, E. K., Alroughani, R., Izquierdo, G., Eichau, S., Ozakbas, S., Patti, F., Onofrj, M., Lugaresi, A., Terzi, M., Grammond, P., Grand’Maison, F., Yamout, B., Prat, A., Girard, M., Duquette, P., Boz, C., Trojano, M., McCombe, P., Slee, M., Lechner-Scott, J., Turkoglu, R., Sola, P., Ferraro, D., Granella, F., Shaygannejad, V., Prevost, J., Maimone, D., Skibina, O., Buzzard, K., Van der Walt, A., Karabudak, R., Van Wijmeersch, B., Csepany, T., Spitaleri, D., Vucic, S., Koch-Henriksen, N., Sellebjerg, F., Soerensen, P. S., Hilt Christensen, C. C., Rasmussen, P. V., Jensen, M. B., Frederiksen, J. L., Bramow, S., Mathiesen, H. K., Schreiber, K. I., Butzkueven, H., Magyari, M., Kalincik, T., and Leray, E.

Abstract

Background: Natalizumab and fingolimod are used as high-efficacy treatments in relapsing–remitting multiple sclerosis. Several observational studies comparing these two drugs have shown variable results, using different methods to control treatment indication bias and manage censoring. The objective of this empirical study was to elucidate the impact of methods of causal inference on the results of comparative effectiveness studies. Methods: Data from three observational multiple sclerosis registries (MSBase, the Danish MS Registry and French OFSEP registry) were combined. Four clinical outcomes were studied. Propensity scores were used to match or weigh the compared groups, allowing for estimating average treatment effect for treated or average treatment effect for the entire population. Analyses were conducted both in intention-to-treat and per-protocol frameworks. The impact of the positivity assumption was also assessed. Results: Overall, 5,148 relapsing–remitting multiple sclerosis patients were included. In this well-powered sample, the 95% confidence intervals of the estimates overlapped widely. Propensity scores weighting and propensity scores matching procedures led to consistent results. Some differences were observed between average treatment effect for the entire population and average treatment effect for treated estimates. Intention-to-treat analyses were more conservative than per-protocol analyses. The most pronounced irregularities in outcomes and propensity scores were introduced by violation of the positivity assumption. Conclusions: This applied study elucidates the influence of methodological decisions on the results of comparative effectiveness studies of treatments for multiple sclerosis. According to our results, there are no material differences between conclusions obtained with propensity scores matching or propensity scores weighting given that a study is sufficiently powered, models are correctly specified and positivity assumption is

Published
2022

17. LifeTime and improving European healthcare through cell-based interceptive medicine

Author

Rajewsky, N., Almouzni, G., Gorski, S., Aerts, S., Amit, I., Bertero, M., Bock, C., Bredenoord, A., Cavalli, G., Chiocca, S., Clevers, H., Strooper, B., Eggert, A., Ellenberg, J., Fernández, X., Figlerowicz, M., Gasser, S., Hubner, N., Kjems, J., Knoblich, J., Krabbe, G., Lichter, P., Linnarsson, S., Marine, J., Marioni, J., Marti-Renom, M., Netea, M., Nickel, D., Nollmann, M., Novak, H., Parkinson, H., Piccolo, S., Pinheiro, I., Pombo, A., Popp, C., Reik, W., Roman-Roman, S., Rosenstiel, P., Schultze, J., Stegle, O., Tanay, A., Testa, G., Thanos, D., Theis, F., Torres-Padilla, M., Valencia, A., Vallot, C., van Oudenaarden, A., Vidal, M., Voet, T., Alberi, L., Alexander, S., Alexandrov, T., Arenas, E., Bagni, C., Balderas, R., Bandelli, A., Becher, B., Becker, M., Beerenwinkel, N., Benkirame, M., Beyer, M., Bickmore, W., Biessen, E., Blomberg, N., Blumcke, I., Bodenmiller, B., Borroni, B., Boumpas, D., Bourgeron, T., Bowers, S., Braeken, D., Brooksbank, C., Brose, N., Bruining, H., Bury, J., Caporale, N., Cattoretti, G., Chabane, N., Chneiweiss, H., Cook, S., Curatolo, P., de Jonge, M., Deplancke, B., de Witte, P., Dimmeler, S., Draganski, B., Drews, A., Dumbrava, C., Engelhardt, S., Gasser, T., Giamarellos-Bourboulis, E., Graff, C., Grün, D., Gut, I., Hansson, O., Henshall, D., Herland, A., Heutink, P., Heymans, S., Heyn, H., Huch, M., Huitinga, I., Jackowiak, P., Jongsma, K., Journot, L., Junker, J., Katz, S., Kehren, J., Kempa, S., Kirchhof, P., Klein, C., Koralewska, N., Korbel, J., Kühnemund, M., Lamond, A., Lauwers, E., Le Ber, I., Leinonen, V., Tobon, A., Lundberg, E., Lunkes, A., Maatz, H., Mann, M., Marelli, L., Matser, V., Matthews, P., Mechta-Grigoriou, F., Menon, R., Nielsen, A., Pagani, M., Pasterkamp, R., Pitkänen, A., Popescu, V., Pottier, C., Puisieux, A., Rademakers, R., Reiling, D., Reiner, O., Remondini, D., Ritchie, C., Rohrer, J., Saliba, A., Sanchez-Valle, R., Santosuosso, A., Sauter, A., Scheltema, R., Scheltens, P., Schiller, H., Schneider, A., Seibler, P., Sheehan-Rooney, K., Shields, D., Sleegers, K., Smit, A., Smith, K., Smolders, I., Synofzik, M., Tam, W., Teichmann, S., Thom, M., Turco, M., van Beusekom, H., Vandenberghe, R., den Hoecke, S., de Poel, I., van der Ven, A., van der Zee, J., van Lunzen, J., van Minnebruggen, G., Paesschen, W., van Swieten, J., van Vught, R., Verhage, M., Verstreken, P., Villa, C., Vogel, J., von Kalle, C., Walter, J., Weckhuysen, S., Weichert, W., Wood, L., Ziegler, A., Zipp, F., HZI,Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7,38124 Braunschweig, Germany., Medical Research Council (MRC), UK DRI Ltd, TWINCORE, Zentrum für experimentelle und klinische Infektionsforschung GmbH,Feodor-Lynen Str. 7, 30625 Hannover, Germany., Barcelona Supercomputing Center, LifeTime Community Working Groups, Cardiology, Neurology, Institut de génétique humaine (IGH), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Human genetics, Rajewsky N., Almouzni G., Gorski S.A., Aerts S., Amit I., Bertero M.G., Bock C., Bredenoord A.L., Cavalli G., Chiocca S., Clevers H., De Strooper B., Eggert A., Ellenberg J., Fernandez X.M., Figlerowicz M., Gasser S.M., Hubner N., Kjems J., Knoblich J.A., Krabbe G., Lichter P., Linnarsson S., Marine J.-C., Marioni J.C., Marti-Renom M.A., Netea M.G., Nickel D., Nollmann M., Novak H.R., Parkinson H., Piccolo S., Pinheiro I., Pombo A., Popp C., Reik W., Roman-Roman S., Rosenstiel P., Schultze J.L., Stegle O., Tanay A., Testa G., Thanos D., Theis F.J., Torres-Padilla M.-E., Valencia A., Vallot C., van Oudenaarden A., Vidal M., Voet T., Alberi L., Alexander S., Alexandrov T., Arenas E., Bagni C., Balderas R., Bandelli A., Becher B., Becker M., Beerenwinkel N., Benkirame M., Beyer M., Bickmore W., Biessen E.E.A.L., Blomberg N., Blumcke I., Bodenmiller B., Borroni B., Boumpas D.T., Bourgeron T., Bowers S., Braeken D., Brooksbank C., Brose N., Bruining H., Bury J., Caporale N., Cattoretti G., Chabane N., Chneiweiss H., Cook S.A., Curatolo P., de Jonge M.I., Deplancke B., de Witte P., Dimmeler S., Draganski B., Drews A., Dumbrava C., Engelhardt S., Gasser T., Giamarellos-Bourboulis E.J., Graff C., Grun D., Gut I., Hansson O., Henshall D.C., Herland A., Heutink P., Heymans S.R.B., Heyn H., Huch M., Huitinga I., Jackowiak P., Jongsma K.R., Journot L., Junker J.P., Katz S., Kehren J., Kempa S., Kirchhof P., Klein C., Koralewska N., Korbel J.O., Kuhnemund M., Lamond A.I., Lauwers E., Le Ber I., Leinonen V., Tobon A.L., Lundberg E., Lunkes A., Maatz H., Mann M., Marelli L., Matser V., Matthews P.M., Mechta-Grigoriou F., Menon R., Nielsen A.F., Pagani M., Pasterkamp R.J., Pitkanen A., Popescu V., Pottier C., Puisieux A., Rademakers R., Reiling D., Reiner O., Remondini D., Ritchie C., Rohrer J.D., Saliba A.-E., Sanchez-Valle R., Santosuosso A., Sauter A., Scheltema R.A., Scheltens P., Schiller H.B., Schneider A., Seibler P., Sheehan-Rooney K., Shields D., Sleegers K., Smit A.B., Smith K.G.C., Smolders I., Synofzik M., Tam W.L., Teichmann S., Thom M., Turco M.Y., van Beusekom H.M.M., Vandenberghe R., Van den Hoecke S., Van de Poel I., van der Ven A., van der Zee J., van Lunzen J., van Minnebruggen G., Van Paesschen W., van Swieten J., van Vught R., Verhage M., Verstreken P., Villa C.E., Vogel J., von Kalle C., Walter J., Weckhuysen S., Weichert W., Wood L., Ziegler A.-G., Zipp F., Center for Neurogenomics and Cognitive Research, Functional Genomics, Rajewsky, N, Almouzni, G, Gorski, S, Aerts, S, Amit, I, Bertero, M, Bock, C, Bredenoord, A, Cavalli, G, Chiocca, S, Clevers, H, De Strooper, B, Eggert, A, Ellenberg, J, Fernández, X, Figlerowicz, M, Gasser, S, Hubner, N, Kjems, J, Knoblich, J, Krabbe, G, Lichter, P, Linnarsson, S, Marine, J, Marioni, J, Marti-Renom, M, Netea, M, Nickel, D, Nollmann, M, Novak, H, Parkinson, H, Piccolo, S, Pinheiro, I, Pombo, A, Popp, C, Reik, W, Roman-Roman, S, Rosenstiel, P, Schultze, J, Stegle, O, Tanay, A, Testa, G, Thanos, D, Theis, F, Torres-Padilla, M, Valencia, A, Vallot, C, van Oudenaarden, A, Vidal, M, Voet, T, Cattoretti, G, Alliance for Modulation in Epilepsy, Pharmaceutical and Pharmacological Sciences, Experimental Pharmacology, RS: Carim - H02 Cardiomyopathy, MUMC+: MA Med Staf Spec Cardiologie (9), and Cardiologie

Subjects
0301 basic medicine, Male, Artificial intelligence, Legislation, Medical, [SDV]Life Sciences [q-bio], Molecular datasets, lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4], Cell- and Tissue-Based Therapy, Diseases, LifeTime Community Working Groups, Disease, Biomarkers, Systems biology, Health data, Pharmacology, Toxicology and Pharmaceutics(all), 0302 clinical medicine, Conjunts de dades, ethics [Delivery of Health Care], Health care, Pathology, Medicine, European healthcare, BRAIN, Single-cell multi-omics, GENE-EXPRESSION, Multidisciplinary, methods [Medicine], Education, Medical, Settore BIO/13, Intel.ligència artificial, 3. Good health, ALZHEIMERS-DISEASE, Europe, Health, Management system, Perspective, Female, ddc:500, Single-Cell Analysis, Biomarkers, Diseases, Systems biology, Complex diseases, Informàtica::Aplicacions de la informàtica::Bioinformàtica [Àrees temàtiques de la UPC], medicine.medical_specialty, General Science & Technology, Cells, MEDLINE, cell-based interceptive medicine, LifeTime Initiative, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Clinical datasets, Artificial Intelligence, REVEALS, LifeTime Community, standards [Medicine], Humans, OMICS, RECONSTRUCTION, Intensive care medicine, trends [Medicine], trends [Delivery of Health Care], business.industry, Disease progression, standards [Delivery of Health Care], methods [Delivery of Health Care], 030104 developmental biology, lnfectious Diseases and Global Health Radboud Institute for Health Sciences [Radboudumc 4], single cell, personalized therapy, machine learning, bioinformatics, systems biology, disease, cell-based interceptive medicine, Early Diagnosis, Cardiovascular and Metabolic Diseases, Human medicine, business, Delivery of Health Care, 030217 neurology & neurosurgery, Cell based
Abstract

Here we describe the LifeTime Initiative, which aims to track, understand and target human cells during the onset and progression of complex diseases, and to analyse their response to therapy at single-cell resolution. This mission will be implemented through the development, integration and application of single-cell multi-omics and imaging, artificial intelligence and patient-derived experimental disease models during the progression from health to disease. The analysis of large molecular and clinical datasets will identify molecular mechanisms, create predictive computational models of disease progression, and reveal new drug targets and therapies. The timely detection and interception of disease embedded in an ethical and patient-centred vision will be achieved through interactions across academia, hospitals, patient associations, health data management systems and industry. The application of this strategy to key medical challenges in cancer, neurological and neuropsychiatric disorders, and infectious, chronic inflammatory and cardiovascular diseases at the single-cell level will usher in cell-based interceptive medicine in Europe over the next decade., The LifeTime initiative is an ambitious, multidisciplinary programme that aims to improve healthcare by tracking individual human cells during disease processes and responses to treatment in order to develop and implement cell-based interceptive medicine in Europe.

Published
2020
Full Text
View/download PDF

20. Publisher Correction: LifeTime and improving European healthcare through cell-based interceptive medicine (Nature, (2020), 587, 7834, (377-386), 10.1038/s41586-020-2715-9)

Author

Rajewsky, N. Almouzni, G. Gorski, S.A. Aerts, S. Amit, I. Bertero, M.G. Bock, C. Bredenoord, A.L. Cavalli, G. Chiocca, S. Clevers, H. De Strooper, B. Eggert, A. Ellenberg, J. Fernández, X.M. Figlerowicz, M. Gasser, S.M. Hubner, N. Kjems, J. Knoblich, J.A. Krabbe, G. Lichter, P. Linnarsson, S. Marine, J.-C. Marioni, J.C. Marti-Renom, M.A. Netea, M.G. Nickel, D. Nollmann, M. Novak, H.R. Parkinson, H. Piccolo, S. Pinheiro, I. Pombo, A. Popp, C. Reik, W. Roman-Roman, S. Rosenstiel, P. Schultze, J.L. Stegle, O. Tanay, A. Testa, G. Thanos, D. Theis, F.J. Torres-Padilla, M.-E. Valencia, A. Vallot, C. van Oudenaarden, A. Vidal, M. Voet, T. Alberi, L. Alexander, S. Alexandrov, T. Arenas, E. Bagni, C. Balderas, R. Bandelli, A. Becher, B. Becker, M. Beerenwinkel, N. Benkirane, M. Beyer, M. Bickmore, W.A. Biessen, E.E.A.L. Blomberg, N. Blumcke, I. Bodenmiller, B. Borroni, B. Boumpas, D.T. Bourgeron, T. Bowers, S. Braeken, D. Brooksbank, C. Brose, N. Bruining, H. Bury, J. Caporale, N. Cattoretti, G. Chabane, N. Chneiweiss, H. Cook, S.A. Curatolo, P. de Jonge, M.I. Deplancke, B. de Witte, P. Dimmeler, S. Draganski, B. Drews, A. Dumbrava, C. Engelhardt, S. Gasser, T. Giamarellos-Bourboulis, E.J. Graff, C. Grün, D. Gut, I.G. Hansson, O. Henshall, D.C. Herland, A. Heutink, P. Heymans, S.R.B. Heyn, H. Huch, M. Huitinga, I. Jackowiak, P. Jongsma, K.R. Journot, L. Junker, J.P. Katz, S. Kehren, J. Kempa, S. Kirchhof, P. Klein, C. Koralewska, N. Korbel, J.O. Kühnemund, M. Lamond, A.I. Lauwers, E. Le Ber, I. Leinonen, V. López-Tobón, A. Lundberg, E. Lunkes, A. Maatz, H. Mann, M. Marelli, L. Matser, V. Matthews, P.M. Mechta-Grigoriou, F. Menon, R. Nielsen, A.F. Pagani, M. Pasterkamp, R.J. Pitkänen, A. Popescu, V. Pottier, C. Puisieux, A. Rademakers, R. Reiling, D. Reiner, O. Remondini, D. Ritchie, C. Rohrer, J.D. Saliba, A.-E. Sanchez-Valle, R. Santosuosso, A. Sauter, A. Scheltema, R.A. Scheltens, P. Schiller, H.B. Schneider, A. Seibler, P. Sheehan-Rooney, K. Shields, D.J. Sleegers, K. Smit, A.B. Smith, K.G.C. Smolders, I. Synofzik, M. Tam, W.L. Teichmann, S.A. Thom, M. Turco, M.Y. van Beusekom, H.M.M. Vandenberghe, R. Van den Hoecke, S. van de Poel, I. van der Ven, A. van der Zee, J. van Lunzen, J. van Minnebruggen, G. van Oudenaarden, A. Van Paesschen, W. van Swieten, J.C. van Vught, R. Verhage, M. Verstreken, P. Villa, C.E. Vogel, J. von Kalle, C. Walter, J. Weckhuysen, S. Weichert, W. Wood, L. Ziegler, A.-G. Zipp, F. LifeTime Community Working Groups

Subjects
ComputingMethodologies_DOCUMENTANDTEXTPROCESSING
Abstract

In this Perspective, owing to an error in the HTML, the surname of author Alejandro López-Tobón of the LifeTime Community Working Groups consortium was indexed as ‘Tobon’ rather than ‘López-Tobón’ and the accents were missing. The HTML version of the original Perspective has been corrected; the PDF and print versions were always correct. © 2021, The Author(s).

Published
2021

21. The effectiveness of natalizumab vs fingolimod-A comparison of international registry studies

Author

Andersen, JB, Sharmin, S, Lefort, M, Koch-Henriksen, N, Sellebjerg, F, Sorensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Horakova, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, Ozakbas, S, Patti, F, Onofrj, M, Lugaresi, A, Terzi, M, Grammond, P, Maison, FG, Yamout, B, Prat, A, Girard, M, Duquette, P, Boz, C, Trojano, M, McCombe, P, Slee, M, Lechner-Scott, J, Turkoglu, R, Sola, P, Ferraro, D, Granella, F, Shaygannejad, V, Prevost, J, Skibina, O, Solaro, C, Karabudak, R, Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Casey, R, Debouverie, M, Edan, G, Ciron, J, Ruet, A, Seze, JD, Maillart, E, Zephir, H, Labauge, P, Defer, G, Lebrun, C, Moreau, T, Berger, E, Clavelou, P, Pelletier, J, Stankoff, B, Gout, O, Thouvenot, E, Heinzlef, O, Al-Khedr, A, Bourre, B, Casez, O, Cabre, P, Montcuquet, A, Wahab, A, Camdessanche, J-P, Marousset, A, Patry, I, Hankiewicz, K, Pottier, C, Maubeuge, N, Labeyrie, C, Nifle, C, Leray, E, Laplaud, DA, Butzkueven, H, Kalincik, T, Vukusic, S, Magyari, M, Andersen, JB, Sharmin, S, Lefort, M, Koch-Henriksen, N, Sellebjerg, F, Sorensen, PS, Christensen, CCH, Rasmussen, P, Jensen, MB, Frederiksen, JL, Bramow, S, Mathiesen, HK, Schreiber, K, Horakova, D, Havrdova, EK, Alroughani, R, Izquierdo, G, Eichau, S, Ozakbas, S, Patti, F, Onofrj, M, Lugaresi, A, Terzi, M, Grammond, P, Maison, FG, Yamout, B, Prat, A, Girard, M, Duquette, P, Boz, C, Trojano, M, McCombe, P, Slee, M, Lechner-Scott, J, Turkoglu, R, Sola, P, Ferraro, D, Granella, F, Shaygannejad, V, Prevost, J, Skibina, O, Solaro, C, Karabudak, R, Wijmeersch, B, Csepany, T, Spitaleri, D, Vucic, S, Casey, R, Debouverie, M, Edan, G, Ciron, J, Ruet, A, Seze, JD, Maillart, E, Zephir, H, Labauge, P, Defer, G, Lebrun, C, Moreau, T, Berger, E, Clavelou, P, Pelletier, J, Stankoff, B, Gout, O, Thouvenot, E, Heinzlef, O, Al-Khedr, A, Bourre, B, Casez, O, Cabre, P, Montcuquet, A, Wahab, A, Camdessanche, J-P, Marousset, A, Patry, I, Hankiewicz, K, Pottier, C, Maubeuge, N, Labeyrie, C, Nifle, C, Leray, E, Laplaud, DA, Butzkueven, H, Kalincik, T, Vukusic, S, and Magyari, M

Abstract

BACKGROUND: Natalizumab and fingolimod were the first preparations recommended for disease breakthrough in priorly treated relapsing-remitting multiple sclerosis. Of three published head-to-head studies two showed that natalizumab is the more effective to prevent relapses and EDSS worsening. METHODS: By re-analyzing original published results from MSBase, France, and Denmark using uniform methodologies, we aimed at identifying the effects of differences in methodology, in the MS-populations, and at re-evaluating the differences in effectiveness between the two drugs. We gained access to copies of the individual amended databases and pooled all data. We used uniform inclusion/exclusion criteria and statistical methods with Inverse Probability Treatment Weighting. RESULTS: The pooled analyses comprised 968 natalizumab- and 1479 fingolimod treated patients. The on-treatment natalizumab/fingolimod relapse rate ratio was 0.77 (p=0.004). The hazard ratio (HR) for a first relapse was 0.82 (p=0.030), and the HR for sustained EDSS improvement was 1.4 (p=0.009). There were modest differences between each of the original published studies and the replication study, but the conclusions of the three original studies remained unchanged: in two of them natalizumab was more effective, but in the third there was no difference between natalizumab and fingolimod. CONCLUSION: The results were largely invariant to the epidemiological and statistical methods but differed between the MS populations. Generally, the advantage of natalizumab was confirmed.

Published
2021

22. Underlying genetic variation in familial frontotemporal dementia: sequencing of 198 patients

Author

Mol, Merel, van Rooij, Jeroen, Wong, Tse, Melhem, Shamiram, Verkerk, Annemieke, Kievit, Anneke, van Minkelen, Rick, Rademakers, R, Pottier, C, Donker Kaat, Laura, Seelaar, Harro, van Swieten, J.C., Dopper, Elise, Mol, Merel, van Rooij, Jeroen, Wong, Tse, Melhem, Shamiram, Verkerk, Annemieke, Kievit, Anneke, van Minkelen, Rick, Rademakers, R, Pottier, C, Donker Kaat, Laura, Seelaar, Harro, van Swieten, J.C., and Dopper, Elise

Abstract

Frontotemporal dementia (FTD) presents with a wide variability in clinical syndromes, genetic etiologies, and underlying pathologies. Despite the discovery of pathogenic variants in several genes, many familial cases remain unsolved. In a large FTD cohort of 198 familial patients, we aimed to determine the types and frequencies of variants in genes related to FTD. Pathogenic or likely pathogenic variants were revealed in 74 (37%) patients, including 4 novel variants. The repeat expansion in C9orf72 was most common (21%), followed by variants in MAPT (6%), GRN (4.5%), and TARDBP (3.5%). Other pathogenic variants were found in VCP, TBK1, PSEN1, and a novel homozygous variant in OPTN. Furthermore, we identified 15 variants of uncertain significance, including a promising variant in TUBA4A and a frameshift in VCP, for which additional research is needed to confirm pathogenicity. The patients without identified genetic cause demonstrated a wide clinical and pathological variety. Our study contributes to the clinical characterization of the genetic subtypes and confirms the value of whole-exome sequencing in identifying novel genetic variants.

Published
2021

26. Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI

Author

Roca, P., primary, Attye, A., additional, Colas, L., additional, Tucholka, A., additional, Rubini, P., additional, Cackowski, S., additional, Ding, J., additional, Budzik, J.-F., additional, Renard, F., additional, Doyle, S., additional, Barbier, E.L., additional, Bousaid, I., additional, Casey, R., additional, Vukusic, S., additional, Lassau, N., additional, Verclytte, S., additional, Cotton, F., additional, Brochet, B., additional, De Sèze, J., additional, Douek, P., additional, Guillemin, F., additional, Laplaud, D., additional, Lebrun-Frenay, C., additional, Mansuy, L., additional, Moreau, T., additional, Olaiz, J., additional, Pelletier, J., additional, Rigaud-Bully, C., additional, Stankoff, B., additional, Marignier, R., additional, Debouverie, M., additional, Edan, G., additional, Ciron, J., additional, Ruet, A., additional, Collongues, N., additional, Lubetzki, C., additional, Vermersch, P., additional, Labauge, P., additional, Defer, G., additional, Cohen, M., additional, Fromont, A., additional, Wiertlewsky, S., additional, Berger, E., additional, Clavelou, P., additional, Audoin, B., additional, Giannesini, C., additional, Gout, O., additional, Thouvenot, E., additional, Heinzlef, O., additional, Al-Khedr, A., additional, Bourre, B., additional, Casez, O., additional, Cabre, P., additional, Montcuquet, A., additional, Créange, A., additional, Camdessanché, J.-P., additional, Faure, J., additional, Maurousset, A., additional, Patry, I., additional, Hankiewicz, K., additional, Pottier, C., additional, Maubeuge, N., additional, Labeyrie, C., additional, Nifle, C., additional, Ameli, R., additional, Anxionnat, R., additional, Bannier, E., additional, Barillot, C., additional, Ben Salem, D., additional, Boncoeur-Martel, M.-P., additional, Bonneville, F., additional, Boutet, C., additional, Brisset, J.-C., additional, Cervenanski, F., additional, Claise, B., additional, Commowick, O., additional, Constans, J.-M., additional, Dardel, P., additional, Desal, H., additional, Dousset, Vincent, additional, Durand-Dubief, F., additional, Ferre, J.-C., additional, Gerardin, E., additional, Glattard, T., additional, Grand, S., additional, Grenier, T., additional, Guillevin, R., additional, Guttmann, C., additional, Krainik, A., additional, Kremer, S., additional, Lion, S., additional, Menjot de Champfleur, N., additional, Mondot, L., additional, Outteryck, O., additional, Pyatigorskaya, N., additional, Pruvo, J.-P., additional, Rabaste, S., additional, Ranjeva, J.-P., additional, Roch, J.-A., additional, Sadik, J.C., additional, Sappey-Marinier, D., additional, Savatovsky, J., additional, Tanguy, J.-Y., additional, Tourbah, A., additional, and Tourdias, T., additional

Published
2020
Full Text
View/download PDF

27. New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions

Author

Brisset, Jean-Christophe, primary, Kremer, Stephane, additional, Hannoun, Salem, additional, Bonneville, Fabrice, additional, Durand-Dubief, Francoise, additional, Tourdias, Thomas, additional, Barillot, Christian, additional, Guttmann, Charles, additional, Vukusic, Sandra, additional, Dousset, Vincent, additional, Cotton, Francois, additional, Ameli, R., additional, Anxionnat, R., additional, Audoin, B., additional, Attye, A., additional, Bannier, E., additional, Barillot, C., additional, Ben Salem, D., additional, Boncoeur-Martel, M.-P., additional, Bonhomme, G., additional, Bonneville, F., additional, Boutet, C., additional, Brisset, J.C., additional, Cervenanski, F., additional, Claise, B., additional, Commowick, O., additional, Constans, J.-M., additional, Cotton, F., additional, Dardel, P., additional, Desal, H., additional, Dousset, V., additional, Durand-Dubief, F., additional, Ferre, J.-C., additional, Gaultier, A., additional, Gerardin, E., additional, Glattard, T., additional, Grand, S., additional, Grenier, T., additional, Guillevin, R., additional, Guttmann, C., additional, Krainik, A., additional, Kremer, S., additional, Lion, S., additional, Champfleur, N. Menjot De, additional, Mondot, L., additional, Outteryck, O., additional, Pyatigorskaya, N., additional, Pruvo, J.-P., additional, Rabaste, S., additional, Ranjeva, J.-P., additional, Roch, J.-A., additional, Sadik, J.-C., additional, Sappey-Marinier, D., additional, Savatovsky, J., additional, Stankoff, B., additional, Tanguy, J.-Y., additional, Tourbah, A., additional, Tourdias, T., additional, Brochet, B., additional, Casey, R., additional, De Sèze, J., additional, Douek, P., additional, Guillemin, F., additional, Laplaud, D., additional, Lebrun-Frenay, C., additional, Mansuy, L., additional, Moreau, T., additional, Olaiz, J., additional, Pelletier, J., additional, Rigaud-Bully, C., additional, Vukusic, S., additional, Debouverie, M., additional, Edan, G., additional, Ciron, J., additional, Lubetzki, C., additional, Vermersch, P., additional, Labauge, P., additional, Defer, G., additional, Berger, E., additional, Clavelou, P., additional, Gout, O., additional, Thouvenot, E., additional, Heinzlef, O., additional, Al-Khedr, A., additional, Bourre, B., additional, Casez, O., additional, Cabre, P., additional, Montcuquet, A., additional, Créange, A., additional, Camdessanché, J.-P., additional, Bakchine, S., additional, Maurousset, A., additional, Patry, I., additional, De Broucker, T., additional, Pottier, C., additional, Neau, J.-P., additional, Labeyrie, C., additional, and Nifle, C., additional

Published
2020
Full Text
View/download PDF

28. Underlying genetic variation in familial frontotemporal dementia: sequencing of 198 patients

Author

Mol, M.O., Rooij, J.G.J. (Jeroen) van, Wong, T.H. (Tsz Hang), Melhem, S. (Shamiram), Verkerk, A., Kievit, A.J.A. (Anneke J.A.), Thornton, A.S. (Andrew), Rademakers, S. (Suzanne), Pottier, C. (Cyril), Donker Kaat, L. (Laura), Seelaar, H. (Harro), Swieten, J.C. (John) van, Dopper, E.G.P. (Elise), Mol, M.O., Rooij, J.G.J. (Jeroen) van, Wong, T.H. (Tsz Hang), Melhem, S. (Shamiram), Verkerk, A., Kievit, A.J.A. (Anneke J.A.), Thornton, A.S. (Andrew), Rademakers, S. (Suzanne), Pottier, C. (Cyril), Donker Kaat, L. (Laura), Seelaar, H. (Harro), Swieten, J.C. (John) van, and Dopper, E.G.P. (Elise)

Abstract

Frontotemporal dementia (FTD) presents with a wide variability in clinical syndromes, genetic etiologies, and underlying pathologies. Despite the discovery of pathogenic variants in several genes, many familial cases remain unsolved. In a large FTD cohort of 198 familial patients, we aimed to determine the types and frequencies of variants in genes related to FTD. Pathogenic or likely pathogenic variants were revealed in 74 (37%) patients, including 4 novel variants. The repeat expansion in C9orf72 was most common (21%), followed by variants in MAPT (6%), GRN (4.5%), and TARDBP (3.5%). Other pathogenic variants were found in VCP, TBK1, PSEN1, and a novel homozygous variant in OPTN. Furthermore, we identified 15 variants of uncertain significance, including a promising variant in TUBA4A and a frameshift in VCP, for which additional research is needed to confirm pathogenicity. The patients without identified genetic cause demonstrated a wide clinical and pathological variety. Our study contributes to the clinical characterization of the genetic subtypes and confirms the value of whole-exome sequencing in identifying novel genetic variants.

Published
2020
Full Text
View/download PDF

30. Efficacité comparée du Teriflunomide et du Dimethyl-Fumarate : une étude observationnelle française multicentrique

Author

Laplaud, D.-A., primary, Barbin, L., additional, Casey, R., additional, Debouverie, M., additional, Vukusic, S., additional, Labauge, P., additional, Brassat, D., additional, Wiertlewski, S., additional, De Seze, J., additional, Edan, G., additional, Brochet, B., additional, Moreau, T., additional, Berger, E., additional, Clavelou, P., additional, Castelnovo, G., additional, Ciron, J., additional, Pelletier, J., additional, Bourre, B., additional, Lubetzki, C., additional, Al Khedr, A., additional, Vermersch, P., additional, Lebrun-Frenay, C., additional, Defer, G., additional, Tourbah, A., additional, Camdessanche, J.-P., additional, Stankoff, B., additional, Labeyrie, C., additional, Patry, I., additional, Creange, A., additional, Gout, O., additional, Heinzlef, O., additional, Casez, O., additional, Magy, L., additional, Guennoc, A.-M., additional, De Broucker, T., additional, Nifle, C., additional, Dupel-Pottier, C., additional, Leray, E., additional, Rollot, F., additional, and Foucher, Y., additional

Published
2018
Full Text
View/download PDF

31. Clinical and neuropathological features of ALS/FTD with TIA1 mutations

Author

Hirsch-Reinshagen, V., primary, Nicholson, AM., additional, Pottier, C., additional, Baker, M., additional, Hsiung, G-YR., additional, Krieger, C., additional, Boylan, KB., additional, Weintraub, S., additional, Mesulam, M., additional, Bigio, E., additional, Zinman, L., additional, Keith, J., additional, Rogaeva, E., additional, Zivkovic, SA., additional, Lacomis, D., additional, Dickson, D., additional, Taylor, P., additional, Rademakers, R., additional, and Mackenzie, IR., additional

Published
2018
Full Text
View/download PDF

32. The demise of Angkor: Systemic vulnerability of urban infrastructure to climatic variations

Author

Penny, D, Zachreson, C, Fletcher, R, Lau, D, Lizier, JT, Fischer, N, Evans, D, Pottier, C, Prokopenko, M, Penny, D, Zachreson, C, Fletcher, R, Lau, D, Lizier, JT, Fischer, N, Evans, D, Pottier, C, and Prokopenko, M

Abstract

Complex infrastructural networks provide critical services to cities but can be vulnerable to external stresses, including climatic variability. This vulnerability has also challenged past urban settlements, but its role in cases of historic urban demise has not been precisely documented. We transform archeological data from the medieval Cambodian city of Angkor into a numerical model that allows us to quantify topological damage to critical urban infrastructure resulting from climatic variability. Our model reveals unstable behavior in which extensive and cascading damage to infrastructure occurs in response to flooding within Angkor's urban water management system. The likelihood and extent of the cascading failure abruptly grow with the magnitude of flooding relative to normal flows in the system. Our results support the hypothesis that systemic infrastructural vulnerability, coupled with abrupt climatic variation, contributed to the demise of the city. The factors behind Angkor's demise are analogous to challenges faced by modern urban communities struggling with complex critical infrastructure.

Published
2018

36. CCNF mutations in amyotrophic lateral sclerosis and frontotemporal dementia

Author

Williams, KL, Topp, S, Yang, S, Smith, B, Fifita, JA, Warraich, ST, Zhang, KY, Farrawell, N, Vance, C, Hu, X, Chesi, A, Leblond, CS, Lee, A, Rayner, SL, Sundaramoorthy, V, Dobson-Stone, C, Molloy, MP, Van Blitterswijk, M, Dickson, DW, Petersen, RC, Graff-Radford, NR, Boeve, BF, Murray, ME, Pottier, C, Don, E, Winnick, C, McCann, EP, Hogan, A, Daoud, H, Levert, A, Dion, PA, Mitsui, J, Ishiura, H, Takahashi, Y, Goto, J, Kost, J, Gellera, C, Gkazi, AS, Miller, J, Stockton, J, Brooks, WS, Boundy, K, Polak, M, Muñoz-Blanco, JL, Esteban-Pérez, J, Rábano, A, Hardiman, O, Morrison, KE, Ticozzi, N, Silani, V, De Belleroche, J, Glass, JD, Kwok, JBJ, Guillemin, GJ, Chung, RS, Tsuji, S, Brown, RH, García-Redondo, A, Rademakers, R, Landers, JE, Gitler, AD, Rouleau, GA, Cole, NJ, Yerbury, JJ, Atkin, JD, Shaw, CE, Nicholson, GA, Blair, IP, Williams, KL, Topp, S, Yang, S, Smith, B, Fifita, JA, Warraich, ST, Zhang, KY, Farrawell, N, Vance, C, Hu, X, Chesi, A, Leblond, CS, Lee, A, Rayner, SL, Sundaramoorthy, V, Dobson-Stone, C, Molloy, MP, Van Blitterswijk, M, Dickson, DW, Petersen, RC, Graff-Radford, NR, Boeve, BF, Murray, ME, Pottier, C, Don, E, Winnick, C, McCann, EP, Hogan, A, Daoud, H, Levert, A, Dion, PA, Mitsui, J, Ishiura, H, Takahashi, Y, Goto, J, Kost, J, Gellera, C, Gkazi, AS, Miller, J, Stockton, J, Brooks, WS, Boundy, K, Polak, M, Muñoz-Blanco, JL, Esteban-Pérez, J, Rábano, A, Hardiman, O, Morrison, KE, Ticozzi, N, Silani, V, De Belleroche, J, Glass, JD, Kwok, JBJ, Guillemin, GJ, Chung, RS, Tsuji, S, Brown, RH, García-Redondo, A, Rademakers, R, Landers, JE, Gitler, AD, Rouleau, GA, Cole, NJ, Yerbury, JJ, Atkin, JD, Shaw, CE, Nicholson, GA, and Blair, IP

Abstract

Amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) are overlapping, fatal neurodegenerative disorders in which the molecular and pathogenic basis remains poorly understood. Ubiquitinated protein aggregates, of which TDP-43 is a major component, are a characteristic pathological feature of most ALS and FTD patients. Here we use genome-wide linkage analysis in a large ALS/FTD kindred to identify a novel disease locus on chromosome 16p13.3. Whole-exome sequencing identified a CCNF missense mutation at this locus. Interrogation of international cohorts identified additional novel CCNF variants in familial and sporadic ALS and FTD. Enrichment of rare protein-altering CCNF variants was evident in a large sporadic ALS replication cohort. CCNF encodes cyclin F, a component of an E3 ubiquitin-protein ligase complex (SCFCyclin F). Expression of mutant CCNF in neuronal cells caused abnormal ubiquitination and accumulation of ubiquitinated proteins, including TDP-43 and a SCFCyclin F substrate. This implicates common mechanisms, linked to protein homeostasis, underlying neuronal degeneration.

Published
2016

37. Whole-genome sequencing reveals important role for TBK1 and OPTN mutations in frontotemporal lobar degeneration without motor neuron disease

Author

Pottier, C., Bieniek, K.F., Finch, N., Vorst, M. van de, Baker, M., Perkersen, R., Brown, P., Ravenscroft, T., Blitterswijk, M. van, Nicholson, A.M., DeTure, M., Knopman, D.S., Josephs, K.A., Parisi, J.E., Petersen, R.C., Boylan, K.B., Boeve, B.F., Graff-Radford, N.R., Veltman, J.A., Gilissen, C., Murray, M.E., Dickson, D.W., Rademakers, R., Pottier, C., Bieniek, K.F., Finch, N., Vorst, M. van de, Baker, M., Perkersen, R., Brown, P., Ravenscroft, T., Blitterswijk, M. van, Nicholson, A.M., DeTure, M., Knopman, D.S., Josephs, K.A., Parisi, J.E., Petersen, R.C., Boylan, K.B., Boeve, B.F., Graff-Radford, N.R., Veltman, J.A., Gilissen, C., Murray, M.E., Dickson, D.W., and Rademakers, R.

Abstract

Contains fulltext : 154461.pdf (publisher's version ) (Closed access), Frontotemporal lobar degeneration with TAR DNA-binding protein 43 inclusions (FTLD-TDP) is the most common pathology associated with frontotemporal dementia (FTD). Repeat expansions in chromosome 9 open reading frame 72 (C9ORF72) and mutations in progranulin (GRN) are the major known genetic causes of FTLD-TDP; however, the genetic etiology in the majority of FTLD-TDP remains unexplained. In this study, we performed whole-genome sequencing in 104 pathologically confirmed FTLD-TDP patients from the Mayo Clinic brain bank negative for C9ORF72 and GRN mutations and report on the contribution of rare single nucleotide and copy number variants in 21 known neurodegenerative disease genes. Interestingly, we identified 5 patients (4.8 %) with variants in optineurin (OPTN) and TANK-binding kinase 1 (TBK1) that are predicted to be highly pathogenic, including two double mutants. Case A was a compound heterozygote for mutations in OPTN, carrying the p.Q235* nonsense and p.A481V missense mutation in trans, while case B carried a deletion of OPTN exons 13-15 (p.Gly538Glufs*27) and a loss-of-function mutation (p.Arg117*) in TBK1. Cases C-E carried heterozygous missense mutations in TBK1, including the p.Glu696Lys mutation which was previously reported in two amyotrophic lateral sclerosis (ALS) patients and is located in the OPTN binding domain. Quantitative mRNA expression and protein analysis in cerebellar tissue showed a striking reduction of OPTN and/or TBK1 expression in 4 out of 5 patients supporting pathogenicity in these specific patients and suggesting a loss-of-function disease mechanism. Importantly, neuropathologic examination showed FTLD-TDP type A in the absence of motor neuron disease in 3 pathogenic mutation carriers. In conclusion, we highlight TBK1 as an important cause of pure FTLD-TDP, identify the first OPTN mutations in FTLD-TDP, and suggest a potential oligogenic basis for at least a subset of FTLD-TDP patients. Our data further add to the growing body of ev

Published
2015

38. Comparison of two remote sensing methods for the evaluation of ocean dynamics

Author

Sudre, J., Pont, Oriol, Pottier, C., Yahia, H., Garcon, Veronique, Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), DYNBIO LEGOS, Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Geometry and Statistics in acquisition data (GeoStat), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre National d’Études Spatiales [Paris] (CNES), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), and Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)

Subjects
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

International audience; The dynamics of the ocean flow are governed by the cascade process where the energy is injected in the system at the largest scale and dissipated at viscous scale. In between, the energy crosses all the intermediary scales and is responsible for the creation of oceanographic structures at different scales. To obtain the motion field of ocean dynamics [1] at the high resolution of Sea Surface Temperature (SST) Modis data (spatial resolution : 4 km) using one single image, we associate the Microcanonical Multiscale Formalism (MMF) [2] and the Microcanonical Cascade (MC) which represent these processes where the energy is transferred from scale to scale [3]. To link two different scales (or, in a remote sensing context, the same image at two different resolutions), the MC requires the exact determination of an optimal wavelet which separates completely the Multiscale Operator and the wavelet transform at the highest resolution. This exact determination of the optimal wavelet for a given dataset is difficult and there is no systematic algorithm to find it. Our goal is to best approximate the optimal wavelet for SST data by using Q-test [4]. References [1] H. Yahia, J. Sudre, C. Pottier and V. Garçon, 2010, Motion analysis in oceanographic satellite images using multiscale methods and the energy cascade, Pattern Recognition, DOI: 10.1016/J.patcog.2010.04.011 [2] A. Turiel, H. Yahia and C. Perez-Vicente, 2008 Microcanonical Multifractal Formalism: a geometrical approach to multifractal systems. Part I: Singularity Analysis, Journal of Physics A 41:015501. [3] C. Pottier, A. Turiel, V. Garçon, 2008, Inferring missing data in satellite chlorophyll maps using turbulent cascading, Remote Sensing of Environment, 112,4242-4260, 10.1016/j.rse.2008.07.010 [4] O. Pont, A Microcanonical cascade formalism for multifractal systems ans its application to data inference and forecasting. PhD thesis, Dept. of Fundamental Physics, University of Barcelona, 2009

Published
2010

39. Evidencing of multiplicative cascading and intermittency in real/synthetic oceanographic signals: application to the evaluation of ocean dynamics

Author

Sudre, J., Pont, Oriol, Pottier, C., Yahia, H., Garcon, Veronique, Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), DYNBIO LEGOS, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Geometry and Statistics in acquisition data (GeoStat), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre National d’Études Spatiales [Paris] (CNES), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), and Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)

Subjects
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere
Abstract

International audience; Most existing methods in analyzing motion in Computer Vision do not take into account key features of ocean dynamics: turbulence and intermittency, which contribute importantly to the shape and motion of observed and acquired coherent structures. Besides, the specificities of these remotely sensed acquisitions (Sea Surface Temperature, chlorophyll a concentration) lead to question the pertinence of existing Computer Vision approaches to analyze motion in these types of image sequences. To compute the motion field at high resolution associating the Microcanonical Multiscale Formalism (MMF) [1] and the Microcanonical Cascade (MC) [2], one needs to give prominence to the intermittency and cascade properties observed in SST Modis data and/or synthetic signals from an ocean model. We propose here to evaluate the ocean dynamics with respect to intermittency/cascading properties evaluation for data acquired by satellites or synthetic data coming from a simulation model. We then apply the combination of MMF and MC to obtain high resolution (4km) motion fields [3]. References [1] A. Turiel, H. Yahia and C. Perez-Vicente, 2008 Microcanonical Multifractal Formalism: a geometrical approach to multifractal systems. Part I: Singularity Analysis Journal of Physics A 41:015501. [2] C. Pottier, A. Turiel, V. Garçon, 2008, Inferring missing data in satellite chlorophyll maps using turbulent cascading, Remote Sensing of Environnement, 112,4242-4260, 10.1016/j.rse.2008.07.010 [3] H. Yahia, J. Sudre, C. Pottier and V. Garçon, 2010, Motion analysis in oceanographic satellite images using multiscale methods and the energy cascade, Pattern Recognition, DOI: 10.1016/J.patcog.2010.04.011

Published
2010

40. Inferring fluid motion at submesoscale from high resolution remotely sensed data

Author

Sudre, J., Yahia, H., Pottier, C., Garcon, Veronique, Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), DYNBIO LEGOS, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Geometry and Statistics in acquisition data (GeoStat), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Centre National d’Études Spatiales [Paris] (CNES), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), and Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)

Subjects
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Abstract

http://ifisc.uib-csic.es/orflow10/; International audience

Published
2010

41. Determination of geostrophic vector field on high resolution SST images from the energy cascade

Author

Yahia, H., Sudre, J., Pottier, C., Garcon, V., Geometry and Statistics in acquisition data (GeoStat), Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), DYNBIO LEGOS, Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), and Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3)

Subjects
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2009

43. Étude comparative rétrospective de l’efficacité et de la tolérance du methotrexate versus mycophénolate mofétil dans les neurosarcoïdoses

Author

Bitoun, S., primary, Cohen Aubart, F., additional, Haroche, J., additional, Psimaras, D., additional, Mathian, A., additional, Boutin, D.L.T.H., additional, Hie, M., additional, Viala, K., additional, Pottier, C., additional, Arnaud, L., additional, Hausfater, P., additional, and Amoura, Z., additional

Published
2014
Full Text
View/download PDF

46. Ombres et lumières sur le Vietnam actuel

Author

Audier, N., Chemillier-Gendreau, M., Cosaert, P., Degallaix, S., Delalande, P., Devillers, P., Feray, P.R., Fourniau, C., Fromonteil, P., Gendreau, Francis, Gentric, J.J., De la Gorce, P.M., Houtard, F., Mantienne, F., Martin, Jean-Yves, Milliot, D., Papin, P., Pottier, C., Treglode, B. de, Van Regemorter, H., Weissberg, D., and Fourniau, C. (préf.)

Subjects
COOPERATION SCIENTIFIQUE, AMENAGEMENT DU TERRITOIRE, COOPERATION CULTURELLE, CHANGEMENT SOCIOECONOMIQUE, COOPERATION TECHNIQUE, ENTREPRISE, RELATIONS BILATERALES, CHANGEMENT POLITIQUE, COMMUNISME, SYSTEME EDUCATIF, ECONOMIE DE MARCHE, INVESTISSEMENT, PARTI POLITIQUE, POLITIQUE EXTERIEURE, TRANSITION DEMOGRAPHIQUE, COMMUNAUTE VILLAGEOISE
Published
2003

47. Uncovering archaeological landscapes at Angkor using lidar

Author

Evans, D. H., Fletcher, R. J., Pottier, C., Chevance, J.-B., Soutif, D., Tan, B. S., Im, S., Ea, D., Tin, T., Kim, S., Cromarty, Fiona, De Greef, Stephane, Hanus, K., Baty, P., Kuszinger, R., Shimoda, I., Boornazian, G., Evans, D. H., Fletcher, R. J., Pottier, C., Chevance, J.-B., Soutif, D., Tan, B. S., Im, S., Ea, D., Tin, T., Kim, S., Cromarty, Fiona, De Greef, Stephane, Hanus, K., Baty, P., Kuszinger, R., Shimoda, I., and Boornazian, G.

Abstract

info:eu-repo/semantics/published

Published
2013

50. Merging SeaWiFS and MODIS/Aqua Ocean Color Data in North and Equatorial Atlantic Using Weighted Averaging and Objective Analysis

Author

Pottier, C, Garcon, V, Larnicol, G, Sudre, J, Schaeffer, P, Le Traon, Pierre-yves, Pottier, C, Garcon, V, Larnicol, G, Sudre, J, Schaeffer, P, and Le Traon, Pierre-yves

Abstract

Two approaches of ocean color data merging were tested and compared in the North and Equatorial Atlantic Basin: the weighted averaging and the objective analysis. The datasets used were the daily level-3 binned data of chlorophyll-a from the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer on the Aqua satellite over the year 2003, which is the first common full year of operation. Since they represent input for both approaches, matchups between the satellite and the in situ data from the SeaWiFS Bio-optical Archive and Storage System and the Atlantic Meridional Transect were first studied to compute a spatial map of the root mean-square error and of the bias. Because of the log distribution of the chlorophyll fields, each approach was applied to untransformed and log-transformed values. The application of the weighted averaging to log-transformed values does not show significant differences in comparison to its application to untransformed values. This is not the case, however, for the objective analysis that gives better results when applied to logtransformed values. Both approaches give combined chlorophyll data of equivalent quality, although the objective analysis could be improved with a better statistical characterization of noise and signal covariance. The main advantage of the objective analysis is its ability to interpolate in space (and time) by taking into account the characteristic scales of chlorophyll-a. As a result, the spatial coverage of the combined data is at least twice as large in the case of objective analysis than weighted averaging. OCR NOT CONTROLLED

Published
2006
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results