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5. 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
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8. Exploration par imagerie par résonance magnétique fonctionnelle (IRMf) des processus neurocognitifs impliqués dans les addictions alimentaires chez des patientes souffrant d’obésité sévère

Author

Guittière, M.O., primary, Coquery, N., additional, Som, M., additional, Serrand, Y., additional, Bannier, E., additional, Lainé, F., additional, Constant, A., additional, Moirand, R., additional, Val-Laillet, D., additional, and Thibault, R., additional

Published
2023
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15. Utilisation de la neuroimagerie pour évaluer l’impact des publicités pour alcool sur des jeunes buveurs

Author

Gallopel-Morvan, K. (Karine), Duché, Q. (Quentin), Bannier, E. (Elise), Diouf, J-F. (Jacques-François), Droulers, O. (Olivier), Lacoste-Badie, S. (Sophie), Moirand, R. (Romain), Centre de Recherches sur l'Action Politique en Europe [ARENES], Recherche sur les services et le management en santé [RSMS], École des Hautes Études en Santé Publique [EHESP] [EHESP], Neuroimagerie: méthodes et applications [EMPENN], Centre de recherche en économie et management [CREM], Lille économie management - UMR 9221 [LEM], and CHU Pontchaillou [Rennes]

Subjects
fMRI, neuroimaging, addiction, Reward system
Published
2022

16. Influencia de los parámetros de proyección por plasma atmosférico en recubrimientos de YSZ obtenidos a partir de polvos micro y nanoestructurados

Author

Carpio, P., Bannier, E., Borrell, A., Salvador, M. D., and Sánchez, E.

Subjects
Atmospheric plasma spraying, monitoring, YSZ coating, microstructure, mechanical properties, proyección por plasma atmosférico, monitorización, recubrimiento de YSZ, microestructura, propiedades mecánicas, Clay industries. Ceramics. Glass, TP785-869
Abstract

In the present work, the influence of atmospheric plasma spray (APS) parameters on the deposition of two commercial YSZ feedstocks, one conventional and one nanostrcutured, has been studied. First the study focused on how the variability of the different parameters affects the particle behaviour during spraying. For this purpose, a sensor which enables to measure the particle temperature and velocity inside the plasma was used. Once the spraying parameters influence was known, both powders were deposited by APS onto stainless steel substrates modifying the higher influencing parameters. These coatings have been characterised and the influence of the particle behaviour on the coating microstructure and properties has been analysed. This work concludes the spraying parameters variation affects on the particle velocity and temperature inside the plasma plume and this behaviour influences, in turn but in a different way, on the final coating characteristics when using different powders (micro- and nanostructured).En el presente trabajo se ha estudiado la influencia de cada uno de los parámetros de la proyección térmica por plasma atmosférico (atmospheric plasma spraying, APS) en la deposición de dos polvos comerciales de YSZ, uno convencional y otro nanoestructurado. En primer lugar se ha estudiado cómo afecta la variabilidad de los diferentes parámetros en el comportamiento de las partículas durante la proyección. Para tal fin, se ha utilizado un sensor que permite determinar la temperatura y la velocidad de las partículas en el interior del plasma. Una vez conocido cómo influyen los parámetros de proyección se han depositado ambos polvos sobre sustratos de acero inoxidable mediante APS modificando aquellos parámetros con un mayor impacto en el comportamiento de las partículas. Estos recubrimientos han sido caracterizados y se ha analizado la influencia del comportamiento de las partículas durante la proyección en la microestructura y propiedades del recubrimiento final. En este trabajo se concluye que la variación de los parámetros de proyección afecta en la velocidad y temperatura de las partículas en el interior del plasma y este comportamiento influye a su vez, y de forma diferente al emplear los distintos polvos (micro- y nanoesctructurado) en las características de los recubrimientos finales.

Published
2014
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22. Multimodal MRI cerebral correlates of verbal fluency switching and its impairment in women with depression

Author

Domain, L., Guillery, M., Linz, N., König, A., Batail, J.M., David, R., Corouge, I., Bannier, E., Ferré, J.C., Dondaine, T., Drapier, D., Robert, G.H., Centre Hospitalier Guillaume Régnier [Rennes], ki:elements [Saarbrücken], Spatio-Temporal Activity Recognition Systems (STARS), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Cognition Behaviour Technology (CobTek), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre Hospitalier Universitaire de Nice (CHU Nice)-Institut Claude Pompidou [Nice] (ICP - Nice)-Université Côte d'Azur (UCA), Département de Gérontologie [Nice], Hôpital Cimiez [Nice] (CHU), Neuroimagerie: méthodes et applications (EMPENN), Institut National de la Santé et de la Recherche Médicale (INSERM)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAL, IMAGE ET LANGAGE (IRISA-D6), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Lille Neurosciences & Cognition - U 1172 (LilNCog), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Fondation de l’Avenir (ET1-628)., Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre Hospitalier Universitaire de Nice (CHU Nice)-Institut Claude Pompidou [Nice] (ICP - Nice), Empenn, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE (IRISA-D5), Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Bretagne Sud (UBS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Lille Neurosciences & Cognition - U 1172 (LilNCog (ex-JPARC)), and König, Alexandra

Subjects
FWE, Familywise error rate, FDR, false discovery rate, ROI, region of interest, Computer applications to medicine. Medical informatics, R858-859.7, Major depressive disorder, Neuropsychological Tests, Verbal fluency, [SCCO]Cognitive science, VFT, verbal fluency tasks, MDD, Major depressive disorder, GLM, general linear model, MRI, Magnetic Resonance neuroimaging, CAT, Computational Anatomy Toolbox, TIV, total intracranial volume, Humans, HC, healthy controls, Automatic speech analysis, RC346-429, TBSS, Tract-Based Spatial Statistics, Cortical Thickness, AES, Apathy Evaluation Scale, MADRS, Montgomery Åsberg Depression Rating Scale, FA, Fractional Anisotropy, Depression, JHU, John Hopkins University, SPM, Statistical Parametric Mapping, Brain, Regular Article, Fractional Anisotropy, [SCCO] Cognitive science, DSST, digit-symbol substitution test, Magnetic Resonance Imaging, White Matter, CT, Cortical Thickness, Semantics, TMT-A & B, Trail Making Test, MINI, Mini International Neuropsychiatric Interview, Switching, DSM-IV-TR, Diagnostic and Statistical Manual of Mental Disorders, Female, Neurology. Diseases of the nervous system
Abstract

Highlights • There are no quantitative markers of major depression that associates with brain. • Switching strategy during verbal fluency can be calculated via machine learning. • Switching between semantic clusters is related to cognitive function in depression. • It is associated with cortical thickness in frontal, temporal and occipital regions. • It is associated with fractional anisotropy in right long antero-posterior tracts., Background The search of biomarkers in the field of depression requires easy implementable tests that are biologically rooted. Qualitative analysis of verbal fluency tests (VFT) are good candidates, but its cerebral correlates are unknown. Methods We collected qualitative semantic and phonemic VFT scores along with grey and white matter anatomical MRI of depressed (n = 26) and healthy controls (HC, n = 25) women. Qualitative VFT variables are the “clustering score” (i.e. the ability to produce words within subcategories) and the “switching score” (i.e. the ability to switch between clusters). The clustering and switching scores were automatically calculated using a data-driven approach. Brain measures were cortical thickness (CT) and fractional anisotropy (FA). We tested for associations between CT, FA and qualitative VFT variables within each group. Results Patients had reduced switching VFT scores compared to HC. Thicker cortex was associated with better switching score in semantic VFT bilaterally in the frontal (superior, rostral middle and inferior gyri), parietal (inferior parietal lobule including the supramarginal gyri), temporal (transverse and fusiform gyri) and occipital (lingual gyri) lobes in the depressed group. Positive association between FA and the switching score in semantic VFT was retrieved in depressed patients within the corpus callosum, right inferior fronto-occipital fasciculus, right superior longitudinal fasciculus extending to the anterior thalamic radiation (all p

Published
2022

26. Validation méthodologique d’une approche de neurofeedback-fNIRS du cortex préfrontal dorsolatéral en vue de son implémentation comme intervention corrective en contexte d’hyperphagie émotionnelle

Author

Godet, Ambre, Fortier, A., Serrand, Y., Bannier, E., Val-Laillet, David, Coquery, Nicolas, Nutrition, Métabolismes et Cancer (NuMeCan), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), and Bernard, Emilie

Subjects
[SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, Nutrition and Dietetics, [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie, Endocrinology, Diabetes and Metabolism, Internal Medicine, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Abstract

International audience; Introduction et but de l’étude: Le neurofeedback (NF) est défini comme un entraînement à la régulation volontaire d’une région cérébrale donnée, dont l’activité est enregistrée et retransmise en temps réel au sujet grâce à une technique de neuroimagerie et d’interface informatique. Le NF repose sur un processus d’apprentissage et de conditionnement opérant, avec pour objectif d’améliorer la fonction associée à la région cérébrale ciblée. Appliqué dans le cadre du comportement alimentaire, le NF a déjà montré son efficacité concernant la réduction de choix d’aliments hypercaloriques chez des femmes obèses et dans la réduction des événements d’hyperphagie alimentaire. La spectroscopie proche infrarouge fonctionnelle (fNIRS) est une technique d’imagerie optique permettant de détecter des changements relatifs des concentrations en oxy-hémoglobine (HbO) et déoxy-hémoglobine (HbR) et donc de façon indirecte, de l’activité cérébrale. Le cortex préfrontal dorsolatéral (dlPFC) exerçant un rôle critique dans le contrôle cognitif de la prise alimentaire, cette étude a pour objectif d’évaluer la faisabilité d’une session de NF-fNIRS ciblé sur le dlPFC, en vue de son implémentation dans une stratégie de prévention des troubles du comportement alimentaire.Matériel et méthodes: 30 individus, âgés de 19 à 60 ans, ont participé à une session de NF-fNIRS, consistant en 15 blocs de 30 secondes de NF entrecoupés de 15 phases de repos. L’HbO mesurée par les optodes couvrant le dlPFC a été retransmise sous forme de jauge visuelle, que les participants devaient faire monter afin d’augmenter l’activité du dlPFC. Un filtre pass band 0,01 à 0,09 Hz a été utilisé pour filtrer les variations physiologiques et un modèle général linéaire (GLM) a été utilisé. Une comparaison de moyennes (t-test) a été réalisée pour l’analyse de groupe. Les stratégies des participants et leurs retours ont été recueillis.Résultats et Analyse statistique: Les participants ont estimé avoir un contrôle modéré sur la jauge, les stratégies rapportées comme les plus efficaces pour la faire monter étant la concentration et l’encouragement positif. L’analyse statistique préliminaire montre une augmentation significative de l’activité cérébrale au niveau du dlPFC (p < 0.05).Conclusion: Ces résultats montrent la faisabilité d’une unique session de NF-fNIRS ciblé sur le dlPFC dans le but d’augmenter son activité. L’entrainement au NF nécessitant des sessions répétées afin de consolider son apprentissage, ces résultats sont encourageants en vue de son implémentation dans le cadre de la prévention des troubles du comportement alimentaire.

Published
2021

28. List of contributors

Author

Armada, S., primary, Bannier, E., additional, Espallargas, N., additional, Fauchais, P., additional, Floristán, M., additional, Fukanuma, H., additional, Gadow, R., additional, Huang, R., additional, Johnsen, H., additional, Katanoda, H., additional, Kawakita, J., additional, Killinger, A., additional, Kim, K.H., additional, Kuroda, S., additional, McDonald, A.G., additional, Molak, R., additional, Moreno, R., additional, Melendez, N.M., additional, Pawłowski, L., additional, Schmid, R., additional, Watanabe, M., additional, and Wijewardane, S., additional

Published
2015
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30. The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data

Author

Bannier, E. Barker, G. Borghesani, V. Broeckx, N. Clement, P. Emblem, K.E. Ghosh, S. Glerean, E. Gorgolewski, K.J. Havu, M. Halchenko, Y.O. Herholz, P. Hespel, A. Heunis, S. Hu, Y. Hu, C.-P. Huijser, D. de la Iglesia Vayá, M. Jancalek, R. Katsaros, V.K. Kieseler, M.-L. Maumet, C. Moreau, C.A. Mutsaerts, H.-J. Oostenveld, R. Ozturk-Isik, E. Pascual Leone Espinosa, N. Pellman, J. Pernet, C.R. Pizzini, F.B. Trbalić, A.Š. Toussaint, P.-J. Visconti di Oleggio Castello, M. Wang, F. Wang, C. Zhu, H.

Subjects
ComputingMilieux_LEGALASPECTSOFCOMPUTING
Abstract

Having the means to share research data openly is essential to modern science. For human research, a key aspect in this endeavor is obtaining consent from participants, not just to take part in a study, which is a basic ethical principle, but also to share their data with the scientific community. To ensure that the participants' privacy is respected, national and/or supranational regulations and laws are in place. It is, however, not always clear to researchers what the implications of those are, nor how to comply with them. The Open Brain Consent (https://open-brain-consent.readthedocs.io) is an international initiative that aims to provide researchers in the brain imaging community with information about data sharing options and tools. We present here a short history of this project and its latest developments, and share pointers to consent forms, including a template consent form that is compliant with the EU general data protection regulation. We also share pointers to an associated data user agreement that is not only useful in the EU context, but also for any researchers dealing with personal (clinical) data elsewhere. © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.

Published
2021

31. The Open Brain Consent: Informing research participants and obtaining consent to share brain imaging data

Author

Bannier, E. (Elise), Barker, G. (Gareth), Borghesani, V. (Valentina), Broeckx, N. (Nils), Clement, P. (Patricia), Emblem, K.E. (Kyrre E.), Ghosh, S. (Satrajit), Glerean, E. (Enrico), Gorgolewski, K.J. (Krzysztof J.), Havu, M. (Marko), Halchenko, Y.O. (Yaroslav O.), Herholz, P. (Peer), Hespel, A. (Anne), Heunis, S. (Stephan), Hu, Y. (Yue), Hu, C.-P. (Chuan-Peng), Huijser, D. (Dorien), de la Iglesia Vayá, M. (María), Jancalek, R. (Radim), Katsaros, V.K. (Vasileios K.), Kieseler, M.-L. (Marie-Luise), Maumet, C. (Camille), Moreau, C.A. (Clara A.), Mutsaerts, H.-J. (Henk-Jan), Oostenveld, R. (Robert), Ozturk-Isik, E. (Esin), Pascual Leone Espinosa, N. (Nicolas), Pellman, J. (John), Pernet, C. (Cyril), Pizzini, F.B. (Francesca Benedetta), Trbalić, A.Š. (Amira Šerifović), Toussaint, P.-J. (Paule-Joanne), Visconti di Oleggio Castello, M. (Matteo), Wang, F. (Fengjuan), Wang, C. (Cheng), Zhu, H. (Hua), Bannier, E. (Elise), Barker, G. (Gareth), Borghesani, V. (Valentina), Broeckx, N. (Nils), Clement, P. (Patricia), Emblem, K.E. (Kyrre E.), Ghosh, S. (Satrajit), Glerean, E. (Enrico), Gorgolewski, K.J. (Krzysztof J.), Havu, M. (Marko), Halchenko, Y.O. (Yaroslav O.), Herholz, P. (Peer), Hespel, A. (Anne), Heunis, S. (Stephan), Hu, Y. (Yue), Hu, C.-P. (Chuan-Peng), Huijser, D. (Dorien), de la Iglesia Vayá, M. (María), Jancalek, R. (Radim), Katsaros, V.K. (Vasileios K.), Kieseler, M.-L. (Marie-Luise), Maumet, C. (Camille), Moreau, C.A. (Clara A.), Mutsaerts, H.-J. (Henk-Jan), Oostenveld, R. (Robert), Ozturk-Isik, E. (Esin), Pascual Leone Espinosa, N. (Nicolas), Pellman, J. (John), Pernet, C. (Cyril), Pizzini, F.B. (Francesca Benedetta), Trbalić, A.Š. (Amira Šerifović), Toussaint, P.-J. (Paule-Joanne), Visconti di Oleggio Castello, M. (Matteo), Wang, F. (Fengjuan), Wang, C. (Cheng), and Zhu, H. (Hua)

Abstract

Having the means to share research data openly is essential to modern science. For human research, a key aspect in this endeavor is obtaining consent from participants, not just to take part in a study, which is a basic ethical principle, but also to share their data with the scientific community. To ensure that the participants' privacy is respected, national and/or supranational regulations and laws are in place. It is, however, not always clear to researchers what the implications of those are, nor how to comply with them. The Open Brain Consent (https://open-brain-consent.readthedocs.io) is an international initiative that aims to provide researchers in the brain imaging community with information about data sharing options and tools. We present here a short history of this project and its latest developments, and share pointers to consent forms, including a template consent form that is compliant with the EU general data protection regulation. We also share pointers to an associated data user agreement that is not only useful in the EU context, but also for any researchers dealing with personal (clinical) data elsewhere.

Published
2021
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32. Brainhack: Developing a culture of open, inclusive, community-driven neuroscience

Author

Gau, R, Noble, S, Heuer, K, Bottenhorn, KL, Bilgin, IP, Yang, YF, Huntenburg, JM, Bayer, JMM, Bethlehem, RAI, Rhoads, SA, Vogelbacher, C, Borghesani, V, Levitis, E, Wang, HT, Van Den Bossche, S, Kobeleva, X, Legarreta, JH, Guay, S, Atay, SM, Varoquaux, GP, Huijser, DC, Sandström, MS, Herholz, P, Nastase, SA, Badhwar, AP, Dumas, G, Schwab, S, Moia, S, Dayan, M, Bassil, Y, Brooks, PP, Mancini, M, Shine, JM, O'Connor, D, Xie, X, Poggiali, D, Friedrich, P, Heinsfeld, AS, Riedl, L, Toro, R, Caballero-Gaudes, C, Eklund, A, Garner, KG, Nolan, CR, Demeter, DV, Barrios, FA, Merchant, JS, McDevitt, EA, Oostenveld, R, Craddock, RC, Rokem, A, Doyle, A, Ghosh, SS, Nikolaidis, A, Stanley, OW, Uruñuela, E, Anousheh, N, Arnatkeviciute, A, Auzias, G, Bachar, D, Bannier, E, Basanisi, R, Basavaraj, A, Bedini, M, Bellec, P, Benn, RA, Berluti, K, Bollmann, S, Bradley, C, Brown, J, Buchweitz, A, Callahan, P, Chan, MY, Chandio, BQ, Cheng, T, Chopra, S, Chung, AW, Close, TG, Combrisson, E, Cona, G, Constable, RT, Cury, C, Dadi, K, Damasceno, PF, Das, S, De Vico Fallani, F, DeStasio, K, Dickie, EW, Dorfschmidt, L, Duff, EP, DuPre, E, Dziura, S, Esper, NB, Esteban, O, Fadnavis, S, Flandin, G, Flannery, JE, Flournoy, J, Forkel, SJ, Gau, R, Noble, S, Heuer, K, Bottenhorn, KL, Bilgin, IP, Yang, YF, Huntenburg, JM, Bayer, JMM, Bethlehem, RAI, Rhoads, SA, Vogelbacher, C, Borghesani, V, Levitis, E, Wang, HT, Van Den Bossche, S, Kobeleva, X, Legarreta, JH, Guay, S, Atay, SM, Varoquaux, GP, Huijser, DC, Sandström, MS, Herholz, P, Nastase, SA, Badhwar, AP, Dumas, G, Schwab, S, Moia, S, Dayan, M, Bassil, Y, Brooks, PP, Mancini, M, Shine, JM, O'Connor, D, Xie, X, Poggiali, D, Friedrich, P, Heinsfeld, AS, Riedl, L, Toro, R, Caballero-Gaudes, C, Eklund, A, Garner, KG, Nolan, CR, Demeter, DV, Barrios, FA, Merchant, JS, McDevitt, EA, Oostenveld, R, Craddock, RC, Rokem, A, Doyle, A, Ghosh, SS, Nikolaidis, A, Stanley, OW, Uruñuela, E, Anousheh, N, Arnatkeviciute, A, Auzias, G, Bachar, D, Bannier, E, Basanisi, R, Basavaraj, A, Bedini, M, Bellec, P, Benn, RA, Berluti, K, Bollmann, S, Bradley, C, Brown, J, Buchweitz, A, Callahan, P, Chan, MY, Chandio, BQ, Cheng, T, Chopra, S, Chung, AW, Close, TG, Combrisson, E, Cona, G, Constable, RT, Cury, C, Dadi, K, Damasceno, PF, Das, S, De Vico Fallani, F, DeStasio, K, Dickie, EW, Dorfschmidt, L, Duff, EP, DuPre, E, Dziura, S, Esper, NB, Esteban, O, Fadnavis, S, Flandin, G, Flannery, JE, Flournoy, J, and Forkel, SJ

Published
2021

37. Clinical spectrum and prognostic value of CNS MOG autoimmunity in adults

Author

Cobo-Calvo, A., Ruiz, A., Maillart, E., Audoin, B., Zephir, H., Bourre, B., Ciron, J., Collongues, N., Brassat, D., Cotton, F., Papeix, C., Durand-Dubief, F., Laplaud, D., Deschamps, R., Cohen, M., Biotti, D., Ayrignac, X., Tilikete, C., Thouvenot, E., Brochet, B., Dulau, C., Moreau, T., Tourbah, A., Lebranchu, P., Michel, L., Lebrun-Frenay, C., Montcuquet, A., Mathey, G., Debouverie, M., Pelletier, J., Derache, N., Coustans, M., Rollot, F., De Seze, J., Vukusic, S., Marignier, R., Casey, D. R., Maze, D. M., Olaiz, D. J., Frangoulis, D. B., Debard, N., Vukusic, P. S., Zorila, D. C., Debouverie, P. M., Guillemin, P. F., Mathey, D. G., Ziegler, A., Edan, P. G., Le Page, D. E., Leray, D. E., Muraz, R., Brassat, P. D., Clanet, P. M., Peaureaux-Averseng, D. D., Dewas, C., Brochet, P. B., Ouallet, D. J., Ruet, D. A., Kounkou, K. K., De Seze, P. J., Collongues, D. N., Berthe, C., Vermersch, P. P., Hautecoeur, P. P., Deruelle, F., Papeix, D. C., Maillard, D. E., Lubetzki, P. C., Lebrun-Frenay, D. C., Cohen, D. M., Callier, C., Derache, D. N., Droulon, K., Labauge, P. P., Ayrignac, D. X., Carra-Dalliere, D. C., Pinna, F., Moreau, P. T., Fromont, D. A., Protin, A., Michel, D. L., Wiertlewski, D. S., Jousset, N., Berger, D. E., Chamard-Witkowski, D. L., Bereau, D. M., Cappe, C., Clavelou, P. P., Taithe, D. F., Moisset, D. X., Dumont, E., Pelletier, P. J., Audoin, P. B., Rico-Lamy, D. A., Di Lelio, B., Castelnovo, D. G., Stankoff, P. B., Giannesini, D. C., Heinzlef, D. O., Fagniez, D. O., Laage, D. C., Bourre, D. B., Lefaucheur, D. R., Maltete, D. D., Vimont, C., Al Khedr, D. A., Sehaki, S., Gout, D. O., Bensa, D. C., Cabre, P. P., Kasonde, D. I., Galli, P., Magy, P. L., Montcuquet, D. A., Nicol, M., Casez, D. O., Vaillant, D. M., Diop Kane, M., Camdessanche, P. J., Visneux, V., Guennnoc, D. A., Beltran, D. S., Meunier, G., Creange, P. A., Ayache, D. S., Abdellaoui, D. M., Pottier, D. C., Slesari, D. I., Sampaio, M., Deburghraeve?, D. V., Le Port, D., Ciron, D. J., Neau, P. J., Rabois, E., Labeyrie, D. C., Patry, D. I., Lescieux, E., Nifle, D. C., Servan, D. J., Pico, P. F., Chatagner, V., Camus-Jacqmin, D. M., Henry, D. C., Bottin, D. L., Castex, C., Diallo, S. S., Brisset, J. C., Cervenansky, F., Commovick, O., Defer, P. G., Durand-Dubief, D. F., Guttmann, P. C., Tourbah, P. A., Lifticariu, D. C., Constans, D. J., Tanguy, D. J., Dousset, P. V., Tourdias, D. T., Dardel, D. P., Oesterle, D. H., Gonin, D. S., Ricolfi, D. F., Grand, D. S., Krainik, D. A., Boncoeur-Martel, D. M., Ameli, D. R., Bonhomme, D. G., Cotton, P. F., Roch, D. J., Sappey-Marinier, D. D., Brunel, H., Coze, S., Girard, Nicolas, Lehmann, P., Ranjeva, P. J., Menjot De Champfleur, Nicolas, Anxionnat, P. R., Desal, D. H., Mondot, D. L., Savatovsky, D. J., Galanaud, P. D., Pyatigorskaya, D. N., Guillevin, D. R., Pierot, D. L., Barillot, D. C., Ferre, D. J., Bannier, E., Gerardin, D. E., Boutet, D. C., Kremer, D. S., Armspach, P. J., Berry, P. I., Bonneville, P. F., Dufay, N., Zephir, D. H., Gele, P., Marignier, D. R., Fiard, G., Lehmann, S., Lommazi, S., Laplaud, P. D., Gallot, G., Thouvenot, P. E., Fontaine, P. B., Rebeix, I., Desille-Dugast, M., CHU Pitié-Salpêtrière [APHP], Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Neurologie, maladies neuro-musculaires [Hôpital de la Timone - APHM], Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), Hôpital de Hautepierre [Strasbourg], Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse], RMN et optique : De la mesure au biomarqueur, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Département de Neuroradiologie [Centre Hospitalier Lyon Sud - HCL], Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Département de Neurologie [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-IFR70-CHU Pitié-Salpêtrière [APHP], Department of Neurology, CHU Lyon, Centre Hospitalier Universitaire de Nice (CHU Nice), Département de neurologie [Montpellier], Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [Montpellier]-Université de Montpellier (UM), Centre Hospitalier Régional Universitaire de Nîmes (CHRU Nîmes), Institut de Génomique Fonctionnelle (IGF), Université de Montpellier (UM)-Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS), Neurocentre Magendie, Physiopathologie de la Plasticité Neuronale, U1215, Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Neurologie générale, vasculaire et dégénérative (CHU de Dijon), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Centre Hospitalier Universitaire de Reims (CHU Reims), Observatoire astronomique de Strasbourg (ObAS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Université Nice Sophia Antipolis - Faculté de Médecine (UNS UFR Médecine), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Service de Neurologie [Rennes], Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-CHU Pontchaillou [Rennes], Hospices Civils de Lyon (HCL), CIC Strasbourg (Centre d’Investigation Clinique Plurithématique (CIC - P) ), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Nouvel Hôpital Civil de Strasbourg-Hôpital de Hautepierre [Strasbourg], Centre de recherche en neurosciences de Lyon (CRNL), Université de Lyon-Université de Lyon-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Centre hospitalier universitaire de Nantes (CHU Nantes), The Functional Electrical Neuroimaging Laboratory, Université de Lausanne (UNIL), Department of Economics, École Polytechnique, Palaiseau Cedex, 91128, France, affiliation inconnue, Alimentation et sciences sociales (ALISS), Institut National de la Recherche Agronomique (INRA), CHU Marseille, Infections Virales et Pathologie Comparée - UMR 754 (IVPC), Institut National de la Recherche Agronomique (INRA)-École pratique des hautes études (EPHE)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon, ISL, Laboratoire Charles Coulomb (L2C), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Instituto de Tecnologia Ceramica, Universitat Jaume I, CHU Grenoble, Cellules Souches, Plasticité Cellulaire, Médecine Régénératrice et Immunothérapies (IRMB), Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Assistance Publique - Hôpitaux de Marseille (APHM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA), Service de Neurologie [Rennes] = Neurology [Rennes], CHU Pontchaillou [Rennes], Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Strasbourg (UNISTRA)-Hôpital de Hautepierre [Strasbourg]-Nouvel Hôpital Civil de Strasbourg, Institut National de la Recherche Agronomique (INRA)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Claude Bernard Lyon 1 (UCBL), Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Université Nice Sophia Antipolis (1965 - 2019) (UNS), Centre de recherche en neurosciences de Lyon - Lyon Neuroscience Research Center (CRNL), Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Département de Neurologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-IFR70-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université, Hôpital Gui de Chauliac [Montpellier]-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université Montpellier 1 (UM1)-Université de Montpellier (UM), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [CHU Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université de Montpellier (UM), Université de Lyon-Université de Lyon-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Université de Lausanne = University of Lausanne (UNIL), Institut National de la Recherche Agronomique (INRA)-École Pratique des Hautes Études (EPHE), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)

Subjects
0301 basic medicine, medicine.medical_specialty, Visual acuity, [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, business.industry, Hazard ratio, Encephalopathy, Myelitis, Retrospective cohort study, Lower risk, medicine.disease, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Internal medicine, medicine, Optic neuritis, Neurology (clinical), medicine.symptom, 10. No inequality, business, ComputingMilieux_MISCELLANEOUS, 030217 neurology & neurosurgery, Survival analysis
Abstract

ObjectiveTo describe clinical and radiologic features associated with myelin oligodendrocyte glycoprotein antibodies (MOG-Ab) in a large French nationwide adult cohort, to assess baseline prognostic features of MOG-Ab-associated diseases after a first acute demyelinating syndrome, and to evaluate the clinical value of MOG-Ab longitudinal analysis.MethodsClinical data were obtained from 197 MOG-Ab-positive patients ≥18 years of age. Complete imaging data were available in 108, and 54 serum samples were eligible for longitudinal evaluation. For survival analysis comparison, 169 aquaporin-4 antibody (AQP4-Ab)-positive patients from the NOMADMUS database were included.ResultsMedian age at onset was 36.46 (range 18.0–76.8) years, and patients were predominantly white (92.9%) with male:female ratio, 1.1. Clinical phenotype at onset included optic neuritis or myelitis in 90.86%, isolated brainstem or encephalopathy syndromes in 6.6%, and a combination of syndromes in 2.5%. Distinctive brain MRI findings in MOG-Ab-positive patients were thalamic and pontine lesions. Cortical and leptomeningeal lesions were found in 16.3% and 6.1%, respectively. The probability of reaching a first relapse after 2 and 5 years was 44.8% and 61.8%, respectively. MOG-Ab-positive patients were at lower risk at presentation of further clinical relapse (hazard ratio [HR] 0.45, 95% confidence interval [CI] 0.26–0.79) compared to AQP4-Ab-positive individuals. MOG-Ab-positive individuals had a lower risk of reaching Disability Status Scale score of 3.0 (HR 0.46, 95% CI 0.22–0.94) and visual acuity of 20/100 (HR 0.23, 95% CI 0.07–0.72). Finally, MOG-Ab titers were higher at relapse than in remission (p = 0.009).ConclusionIn adults, MOG-Ab-associated disease extends beyond clinical and radiologic abnormalities in the optic nerve and spinal cord. Despite the relapsing course, the overall visual and motor outcome is better compared with AQP4-Ab-positive patients.

Published
2018

38. 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
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40. 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
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45. Effect of the initial particle size distribution on the properties of suspension plasma sprayed Al2O3-TiO2 coatings

Author

Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials, Universitat Politècnica de València. Instituto de Tecnología de Materiales - Institut de Tecnologia de Materials, Ministerio de Economía y Competitividad, European Regional Development Fund, Vicent, M., Bannier, E., Carpio, P., Rayón Encinas, Emilio, Benavente Martínez, Rut, Salvador Moya, Mª Dolores, Sánchez, E., Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials, Universitat Politècnica de València. Instituto de Tecnología de Materiales - Institut de Tecnologia de Materials, Ministerio de Economía y Competitividad, European Regional Development Fund, Vicent, M., Bannier, E., Carpio, P., Rayón Encinas, Emilio, Benavente Martínez, Rut, Salvador Moya, Mª Dolores, and Sánchez, E.

Abstract

“NOTICE: this is the author’s version of a work that was accepted for publication in Surface & Coatings Technology. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Surface & Coatings Technology, [268 (2015) 209-215] DOI 10.1016/j.surfcoat.2014.12.010¨, Al2O3-TiO2 coatings have been deposited by atmospheric plasma spraying from agglomerated, nanostructured powders showing better properties than those of their conventional (microstructured) counterparts. These nanostructured coatings can be also obtained by suspension plasma spraying however the research on suspension plasma sprayed Al2O3-TiO2 is still scarce. Consequently, it is crucial to study the effect of the suspension characteristics on the coating properties and to optimize the deposition process. In this work, Al2O3-13 wt.% TiO2 tribological coatings were successfully deposited by suspension plasma spraying from three different feedstocks: a nanometric suspension and two bimodal suspensions with different solid contents made up of titania nanoparticles and alumina submicron-sized particles. The coating microstructure and phase composition were characterized using scanning electron microscopy and X-ray diffraction analysis. Moreover, nanoindentation technique was used to determine the nanomechanical properties of coatings. The influence of the feed suspension characteristics on the final coating quality was analyzed. Findings showed that similar microstructures and phases were developed after depositing the different feedstocks. In addition suspension feedstock made up of nanoparticles resulted in a coating with better mechanical properties. However the use of submicron-sized particles in the suspension feedstocks gives rise to some technical and economic advantages in the process which should be taken into account when a suspension plasma spraying process is to be setup. (C) 2014 Elsevier B.V. All rights reserved.

Published
2015

46. Chromosomenvervielfachung und primäre Leukozytenzahl bei Kindern mit einer ALL und hyperdiploidem Chromosomensatz

Author

Mittler U, Brückner R, Zintl F, Kropf S, Wieacker P, Bannier E, Degen B, Rieske K, and Reiss T

Subjects
medicine.medical_specialty, Pathology, business.industry, Cytogenetics, Chromosome, Chromosome 9, Karyotype, Modal Chromosome Number, medicine.disease, Andrology, medicine.anatomical_structure, hemic and lymphatic diseases, Acute lymphocytic leukemia, White blood cell, Pediatrics, Perinatology and Child Health, Medicine, business, Trisomy
Abstract

In the blast cells of children with acute lymphoblastic leukemia (ALL) more than 50 chromosomes can be observed in a quarter of cases. As a rule these children have a good prognosis. However, some of these patients develop a relapse of their basic disease. There is only poor information about the significance of distinct additional chromosomes for the prognosis. The white blood cell count (WBC) at the time of diagnosis is a further very important prognostic factor in childhood ALL. Therefore we compared the relation between trisomy of distinct chromosomes and the initial white blood cell count of 41 children with common ALL and hyperdiploid karyotype. The modal chromosome number ranged from 50 to 60 chromosomes. Most frequently, the chromosomes X, 4, 6, 8, 10, 17, 18 and 21 were multiplied. Additionally, in 25 of the 41 cases structural chromosome aberrations were observed. The average WBC was estimated as 9.6 Gpt/l with a range from 1.8 to 41.5 Gpt/l. The initial WBC was slightly increased in patients with the additional chromosome X, 6, 11, 12 or 19 and distinctly decreased in children with the additional chromosome 8 or 9 in their hyperdiploid blast cells. No patient with an additional Chromosome 9 showed a WBC higher than 10 Gpt/l and only 2 out of the 12 children with an additional chromosome 8 revealed an initial WBC higher than 10 Gpt/l. Additional structural chromosome aberrations were without influence on the WBC.

Published
1998

48. Effect of TiO2 addition on the microstructure and nanomechanical properties of Al2O3 Suspension Plasma Sprayed coatings

Author

Universitat Politècnica de València. Instituto de Tecnología de Materiales - Institut de Tecnologia de Materials, Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials, Ministerio de Economía y Competitividad, European Regional Development Fund, Bannier, E., Vicent, M., Rayón Encinas, Emilio, Benavente Martínez, Rut, Salvador Moya, Mª Dolores, Sánchez, E., Universitat Politècnica de València. Instituto de Tecnología de Materiales - Institut de Tecnologia de Materials, Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials, Ministerio de Economía y Competitividad, European Regional Development Fund, Bannier, E., Vicent, M., Rayón Encinas, Emilio, Benavente Martínez, Rut, Salvador Moya, Mª Dolores, and Sánchez, E.

Abstract

Alumina-titania coatings are widely used in industry for wear, abrasion or corrosion protection components. Such layers are commonly deposited by atmospheric plasma spraying (APS) using powder as feedstock. In this study, both Al2O3 and Al2O3-13 wt% TiO2 coatings were deposited on austenitic stainless steel coupons by suspension plasma spraying (SPS). Two commercial suspensions of nanosized Al2O3 and TiO2 particles were used as starting materials. The coatings microstructure and phase composition were fully characterised using FEG-SEM and XRD techniques. Nanoindentation technique was used to determine the coatings hardness and elastic modulus properties. Results have shown that the addition of titania to alumina SPS coatings causes different crystalline phases and a higher powder melting rate is reached. The higher melted material achieved, when titania is added leads to higher hardness and elastic modulus when the same spraying parameters are used. (C) 2014 Elsevier B.V. All rights reserved.

Published
2014

49. Template-based approach for detecting motor task activation-related hyperperfusion in pulsed ASL data

Author

Petr, J., Ferré, J.-C., Raoult, H., Bannier, E., Gauvrit, J.-Y., Barillot, C., Petr, J., Ferré, J.-C., Raoult, H., Bannier, E., Gauvrit, J.-Y., and Barillot, C.

Abstract

Arterial spin labeling (ASL) permits the non-invasive measurement of quantitative values of cerebral blood flow (CBF) and is thus well adapted to study inter- and intra-subject perfusion variations whether at rest or during an fMRI task. In this study, a template approach to detect brain activation as a CBF difference between resting and activated groups was compared with a standard generalized linear model (GLM) analysis. A basal perfusion template of PICORE-Q2TIPS ASL images acquired at 3T from a group of 25 healthy subjects (mean Age 31.6±8.3 years) was created. The second group of 12 healthy subjects (mean age 28.6±2.7 years) performed a block-design motor task. The template was compared with the mean activated image of the second group both at the individual and at the group level to extract activation maps. The results obtained using a GLM analysis of the whole sequence were used as ground truth for comparison. The influences of spatial normalization using DARTEL registration and of correction of partial volume effects (PVE) in the construction of the template were assessed. Results showed that a basal perfusion template can detect activation-related hyperperfusion in motor areas. The true positive ratio was increased by 2.5% using PVE-correction and by 3.2% using PVE-correction with DARTEL registration. On average, the group comparison presented a 2.2% higher true positive ratio than the one-to-many comparison.

Published
2014

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