59 results on '"B. Claise"'
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2. L’intoxication au monoxyde de carbone en une image
- Author
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B. Claise, S. Mirafzal, Louis Boyer, E. Chabert, Institut Pascal (IP), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne), and Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA)
- Subjects
[SDV]Life Sciences [q-bio] ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,ComputingMilieux_MISCELLANEOUS - Abstract
International audience
- Published
- 2022
- Full Text
- View/download PDF
3. YANG Modules Describing Capabilities for Systems and Datastore Update Notifications
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B. Lengyel, A. Clemm, and B. Claise
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- 2022
- Full Text
- View/download PDF
4. A File Format for YANG Instance Data
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B. Lengyel and B. Claise
- Published
- 2022
- Full Text
- View/download PDF
5. Registry for Performance Metrics
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M. Bagnulo, B. Claise, P. Eardley, A. Morton, and A. Akhter
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- 2021
- Full Text
- View/download PDF
6. New OFSEP recommendations for MRI assessment of multiple sclerosis patients: Special consideration for gadolinium deposition and frequent acquisitions
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Jean-Christophe Brisset, Stephane Kremer, Salem Hannoun, Fabrice Bonneville, Francoise Durand-Dubief, Thomas Tourdias, Christian Barillot, Charles Guttmann, Sandra Vukusic, Vincent Dousset, Francois Cotton, R. Ameli, R. Anxionnat, B. Audoin, A. Attye, E. Bannier, C. Barillot, D. Ben Salem, M.-P. Boncoeur-Martel, G. Bonhomme, F. Bonneville, C. Boutet, J.C. Brisset, F. Cervenanski, B. Claise, O. Commowick, J.-M. Constans, F. Cotton, P. Dardel, H. Desal, V. Dousset, F. Durand-Dubief, J.-C. Ferre, A. Gaultier, E. Gerardin, T. Glattard, S. Grand, T. Grenier, R. Guillevin, C. Guttmann, A. Krainik, S. Kremer, S. Lion, N. Menjot De Champfleur, L. Mondot, O. Outteryck, N. Pyatigorskaya, J.-P. Pruvo, S. Rabaste, J.-P. Ranjeva, J.-A. Roch, J.-C. Sadik, D. Sappey-Marinier, J. Savatovsky, B. Stankoff, J.-Y. Tanguy, A. Tourbah, T. Tourdias, B. Brochet, R. Casey, J. De Sèze, P. Douek, F. Guillemin, D. Laplaud, C. Lebrun-Frenay, L. Mansuy, T. Moreau, J. Olaiz, J. Pelletier, C. Rigaud-Bully, S. Vukusic, M. Debouverie, G. Edan, J. Ciron, C. Lubetzki, P. Vermersch, P. Labauge, G. Defer, E. Berger, P. Clavelou, O. Gout, E. Thouvenot, O. Heinzlef, A. Al-Khedr, B. Bourre, O. Casez, P. Cabre, A. Montcuquet, A. Créange, J.-P. Camdessanché, S. Bakchine, A. Maurousset, I. Patry, T. De Broucker, C. Pottier, J.-P. Neau, C. Labeyrie, C. Nifle, Hôpital de Hautepierre [Strasbourg], Nehme and Therese Tohme Multiple Sclerosis Center [Beyrouth, Liban] (AUBMC), American University of Beirut Medical Center [Beyrouth, Liban] (AUBMC), American University of Beirut [Beyrouth] (AUB)-American University of Beirut [Beyrouth] (AUB), Neuroradiologie Diagnostique et Thérapeutique [Toulouse], Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-CHU Toulouse [Toulouse]-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse], Hôpital neurologique et neurochirurgical Pierre Wertheimer [CHU - HCL], Hospices Civils de Lyon (HCL), INSERM, Neurocentre Magendie, U1215, Physiopathologie de la Plasticité Neuronale, F-33000 Bordeaux, France, 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)-SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE (IRISA-D5), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-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 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 Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Université de Rennes 1 (UR1), 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)-Université de Rennes (UNIV-RENNES)-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 Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT), Center for Neurological Imaging, Departments of Radiology and Neurology, Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-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), Observatoire Français de la Sclérose En Plaques [Lyon] (OFSEP), Service de neuroradiologie [Lyon], Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Département de neuroradiologie diagnostique et thérapeutique [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), 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), Service de neuroradiologie [Grenoble], CHU Grenoble, Laboratoire de Traitement de l'Information Medicale (LaTIM), Institut National de la Santé et de la Recherche Médicale (INSERM)-IMT Atlantique Bretagne-Pays de la Loire (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-Université de Brest (UBO)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Service de Radiologie et Imagerie Médicale [CHU Limoges], CHU Limoges, Auteur indépendant, Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), CHU Clermont-Ferrand, CHU Amiens-Picardie, Centre hospitalier universitaire de Nantes (CHU Nantes), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Hôpital des Charpennes [CHU - HCL], Centre Hospitalier Universitaire [Grenoble] (CHU), Centre hospitalier universitaire de Poitiers (CHU Poitiers), CHU Montpellier, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Hôpital Pasteur [Nice] (CHU), Hôpital Roger Salengro [Lille], CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Aix Marseille Université (AMU), Fondation Ophtalmologique Adolphe de Rothschild [Paris], Université Claude Bernard Lyon 1 (UCBL), Université de Lyon, Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM), Hôpital Raymond Poincaré [AP-HP], CHU de Bordeaux Pellegrin [Bordeaux], Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques (BMNST), Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), Union pour la lutte contre la sclérose en plaques (UNISEP), Centre d'investigation clinique [Nancy] (CIC), Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lorraine (UL), Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), Hôpital de la Timone [CHU - APHM] (TIMONE), Fondation Eugène Devic EDMUS, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hôpital Gui de Chauliac, Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Centre Hospitalier Régional Universitaire de Besançon (CHRU Besançon), CHU Gabriel Montpied [Clermont-Ferrand], Hôpital Universitaire Carémeau [Nîmes] (CHU Nîmes), Centre Hospitalier Universitaire de Nîmes (CHU Nîmes), centre hospitalier intercommunal de Poissy/Saint-Germain-en-Laye - CHIPS [Poissy], Hôpital Charles Nicolle [Rouen], Hôpital Pierre Zobda-Quitman [CHU de la Martinique], CHU de la Martinique [Fort de France], Hôpital Dupuytren [CHU Limoges], Hôpital Henri Mondor, Centre Hospitalier Universitaire de Reims (CHU Reims), Hôpital Bretonneau, Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Centre Hospitalier Sud Francilien, CH Evry-Corbeil, Hôpital Delafontaine, Centre Hospitalier de Saint-Denis [Ile-de-France], Centre Hospitalier René Dubos [Pontoise], AP-HP Hôpital Bicêtre (Le Kremlin-Bicêtre), Centre Hospitalier de Versailles André Mignot (CHV), French State, 'Investments for the Future', Eugène Devic EDMUS Foundation, ARSEP Foundation, Service Neuroradiologie Diagnostique et Thérapeutique [CHU Toulouse], Pôle imagerie médicale [CHU Toulouse], Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Neurocentre Magendie : Physiopathologie de la Plasticité Neuronale (U1215 Inserm - UB), Université de Bordeaux (UB)-Institut François Magendie-Institut National de la Santé et de la Recherche Médicale (INSERM), Neuroimagerie: méthodes et applications (Empenn), 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 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), 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)-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 Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre Hospitalier Régional Universitaire de Brest (CHRU Brest)-IMT Atlantique (IMT Atlantique), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Institut Brestois Santé Agro Matière (IBSAM), Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), Hôpital Gui de Chauliac [CHU Montpellier], Centre hospitalier intercommunal de Poissy/Saint-Germain-en-Laye - CHIPS [Poissy], CHU Rouen, Normandie Université (NU)-Normandie Université (NU), 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), 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 Lorraine (UL)-Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy)-Institut National de la Santé et de la Recherche Médicale (INSERM), CCSD, Accord Elsevier, and 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)
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medicine.medical_specialty ,Consensus ,Multiple Sclerosis ,Gadolinium ,chemistry.chemical_element ,Contrast Media ,Fluid-attenuated inversion recovery ,030218 nuclear medicine & medical imaging ,Cohort Studies ,03 medical and health sciences ,0302 clinical medicine ,Atrophy ,Quality of life ,Medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,[SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Adverse effect ,Radiological and Ultrasound Technology ,medicine.diagnostic_test ,business.industry ,Progressive multifocal leukoencephalopathy ,Multiple sclerosis ,Brain ,Magnetic resonance imaging ,medicine.disease ,Image Enhancement ,Magnetic Resonance Imaging ,3. Good health ,chemistry ,OFSEP ,[SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC] ,Neurology (clinical) ,Radiology ,business ,030217 neurology & neurosurgery - Abstract
Purpose New multiple sclerosis (MS) disease-modifying therapies (DMTs), which exert beneficial effects through prevention of relapse, limitation of disability progression, and improvement of patients’ quality of life, have recently emerged. Nonetheless, these DMTs are not without associated complications (severe adverse events like. progressive multifocal leukoencephalopathy). Patient follow-up requires regular clinical evaluations and close monitoring with magnetic resonance imaging (MRI). Detection of new T2 lesions and potential brain atrophy measurements contribute to the evaluation of treatment effectiveness. Current MRI protocols for MS recommend the acquisition of an annual gadolinium (Gd) enhanced MRI, resulting in administration of high volume of contrast agents over time and Gd accumulation in the brain. Methods A consensus report was established by neuroradiologists and neurologists from the French Observatory of MS, which aimed at reducing the number of Gd injections required during MS patient follow-up. Recommendations The French Observatory of MS recommends the use of macrocyclic Gd enhancement at time of diagnosis, when a new DMT is introduced, at 6-month re-baseline, and when previous scans are unavailable for comparison. Gd administration can be performed as an option in case of relapse or suspicion of intercurrent disease such as progressive multifocal leukoencephalopathy. Other follow-up MRIs do not require contrast enhancement, provided current and previous MRI acquisitions follow the same standardized protocol including 3D FLAIR sequences.
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- 2020
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7. YANG Module Classification
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D. Bogdanovic, B. Claise, and C. Moberg
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- 2017
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8. Exporting MIB Variables Using the IP Flow Information Export (IPFIX) Protocol
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B. Claise, S. B, C. McDowall, and J. Schoenwaelder
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- 2017
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9. Syndrome d’encéphalopathie postérieure réversible (EPR) : aspects en imagerie TDM et IRM
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V Petitcolin, J M Garcier, V. Lannareix, D. Da Ines, B. Claise, E. Hugonnet, and H. Boby
- Abstract
Resume L’encephalopathie posterieure reversible (EPR) est une maladie rare mais severe du systeme nerveux central. Son contexte de survenue et son mode d’expression sont caracterises par un grand polymorphisme clinique, rendant le diagnostic parfois difficile. L’imagerie tomodensitometrique et/ou par resonance magnetique est souvent caracteristique, ce qui permet d’evoquer le diagnostic dans un contexte clinique evocateur. Certains aspects moins typiques doivent cependant etre connus afin de ne pas meconnaitre cette affection, dont l’evolution est conditionnee par la precocite du traitement.
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- 2013
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10. Advanced network monitoring brings life to the awareness plane
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Spyros Denazis, Xenofontas Dimitropoulos, Andreas Kind, and B. Claise
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Service (systems architecture) ,Computer Networks and Communications ,Computer science ,business.industry ,Interoperability ,Telecommunications service ,Network monitoring ,Network topology ,Data science ,Computer Science Applications ,World Wide Web ,Network management ,Traffic classification ,Server ,Electrical and Electronic Engineering ,business - Abstract
The latest advances in traffic measurement, analysis, and modeling play an important role in automatically building and maintaining a distributed intelligent monitoring layer that we describe as the awareness plane. The purpose of this article is to describe the components of this awareness plane in the areas of flexible network measurement, application and relationship discovery, and traffic classification, as well as data aggregation and semantically enriched infrastructure models. We present management services and scenarios, and list the research challenges on the path to integrating the components and making them interoperate for future autonomic service and network management approaches.
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- 2008
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11. Monitoring and Control MIB for Power and Energy
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M. Chandramouli, B. Claise, B. Schoening, J. Quittek, and T. Dietz
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- 2015
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12. Energy Object Context MIB
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J. Parello, B. Claise, and M. Chandramouli
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- 2015
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13. P034: Étude par imagerie fonctionnelle des réponses cérébrales aux stimulations alimentaires d’intensité variable
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B. Jean, Nachiket A. Nadkarni, B. Claise, Jean-Marie Bonny, Nicolas Darcel, Gilles Fromentin, A. Benmoussa, Daniel Tomé, O. Davidenko, Physiologie de la Nutrition et du Comportement Alimentaire (PNCA), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Image Guided Clinical Neurosciences and Connectomics (IGCNC), Université d'Auvergne - Clermont-Ferrand I (UdA), Service de Radiologie, Unité de Neuroradiologie, CHU Clermont-Ferrand, Institut National de la Recherche Agronomique (INRA)-AgroParisTech, AgroParisTech, Qualité des Produits Animaux (QuaPA), Institut National de la Recherche Agronomique (INRA), Service de Radiologie B, and CHU Clermont-Ferrand-Hôpital Montpied
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0303 health sciences ,03 medical and health sciences ,0302 clinical medicine ,Nutrition and Dietetics ,030309 nutrition & dietetics ,Endocrinology, Diabetes and Metabolism ,[SDV]Life Sciences [q-bio] ,[SDV.IDA]Life Sciences [q-bio]/Food engineering ,Internal Medicine ,[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering ,030209 endocrinology & metabolism ,ComputingMilieux_MISCELLANEOUS - Abstract
Introduction et but de l’etude Chez l’humain les aires gusta-tives et le systeme central de la recompense participent au traitement des informations induites par les stimuli alimentaires. Ce travail a pour objectif de mieux comprendre les mecanismes d’attribution de l’intensite et de la valeur hedonique au niveau de ces voies centrales et leurs relations avec les comportements qui en decoulent. Pour cela les reseaux cerebraux actives par differents stimuli alimentaires sont evalues par imagerie par RMN fonctionnelle (IRMf). Materiel et methodes 10 eaux aromatisees variant en concentration de sucre, acide citrique et arome citron ont ete utilisees pour l’etude, classees par intensite de gout croissante. 50 sujets sains, hommes non-fumeurs de poids normal (âge 24 +/− 2,4 ans, IMC 22,1 +/− 1,77 kg/m2) ayant passe un test gustatif ont ete recrutes. L’etude comportait trois sessions experimentales : une session d’habituation avec notation a l’aveugle des produits d’un point de vue hedonique et sensoriel ; une session d’apprentissage avec 4 associations image-produit ; une session IRMf lors de laquelle les sujets ont ete reexposes aux associations image-produit (10 tests par produit), dans un ordre aleatoire. Pour chaque test gustatif, les sujets recevaient 1mL de produit sur la langue directement dans le scanner IRMf. Les analyses statistiques ont ete effectuees sur les sujets ayant manifeste le meme ordre de preferences pour les produits a la session IRMf. Une ANOVA a un facteur (« Produit ») et a mesures repetees a ete realisee aux trois instants du test gustatif : presentation de l’image (Image), degustation du produit (« Produit »), notation du produit (« Note ») Resultats et Analyse statistique 28 volontaires ont manifeste un ordre de preference allant du produit le moins concentre (le moins apprecie) jusqu’au produit le plus concentre (le plus apprecie) (ANOVA a un facteur sur les notes hedoniques : F(df =3)=766,5, p Conclusion L’activation du gyrus postcentral par les stimuli alimentaires semble confirmer l’implication de cette region dans le traitement primaire des signaux gustatifs. La modulation de son activite par les differents stimuli utilises suggererait un role dans le codage de l’intensite. Cette activation toujours observable a l’instant « Note » pourrait correspondre a la persistance du gout depuis la reception du produit. Ainsi, l’intensite d’un stimulus gustatif serait analysee par les aires gustatives primaires, avant meme le traitement du signal par le systeme de central de la recompense.
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- 2014
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14. Energy Management Framework
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J. Parello, B. Claise, B. Schoening, and J. Quittek
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- 2014
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15. Cisco-Specific Information Elements Reused in IP Flow Information Export (IPFIX)
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A. Yourtchenko, P. Aitken, and B. Claise
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- 2014
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16. Operation of the IP Flow Information Export (IPFIX) Protocol on IPFIX Mediators
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B. Claise, A. Kobayashi, and B. Trammell
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- 2014
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17. Flow Aggregation for the IP Flow Information Export (IPFIX) Protocol
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B. Trammell, A. Wagner, and B. Claise
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- 2013
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18. Guidelines for Authors and Reviewers of IP Flow Information Export (IPFIX) Information Elements
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B. Trammell and B. Claise
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- 2013
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19. Requirements for Energy Management
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M. Chandramouli, R. Winter, T. Dietz, and B. Claise
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- 2013
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20. Cisco Systems Export of Application Information in IP Flow Information Export (IPFIX)
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B. Claise, P. Aitken, and N. Ben-Dvora
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- 2012
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21. Definitions of Managed Objects for Packet Sampling
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B. Claise and J. Quittek
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- 2012
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22. Configuration Data Model for the IP Flow Information Export (IPFIX) and Packet Sampling (PSAMP) Protocols
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G. Muenz, B. Claise, and P. Aitken
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- 2012
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23. Posterior reversible encephalopathy syndrome (PRES): features on CT and MR imaging
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V. Lannareix, E. Hugonnet, D. Da Ines, B. Claise, H. Boby, V Petitcolin, and J M Garcier
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medicine.medical_specialty ,Radiological and Ultrasound Technology ,medicine.diagnostic_test ,business.industry ,Magnetic resonance imaging ,Clinical settings ,Posterior reversible encephalopathy syndrome ,Computed tomography ,Imaging features ,General Medicine ,medicine.disease ,Mr imaging ,Magnetic Resonance Imaging ,X ray computed ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Radiology ,Tomography ,Posterior Leukoencephalopathy Syndrome ,business ,Tomography, X-Ray Computed ,MRI - Abstract
Posterior reversible encephalopathy syndrome (PRES) is a rare but severe condition of the central nervous system. It develops in a variety of clinical settings and it has diverse patterns of expression, which can sometimes make diagnosis difficult. Characteristic features are often demonstrated on computed tomography imaging and/or magnetic resonance imaging, meaning that when there is a suspicious clinical picture, this diagnosis should suggest itself. However, clinicians should be aware of some of the less typical features in order to more fully understand this condition, in which early treatment is key to good clinical progress.
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- 2012
24. Definitions of Managed Objects for IP Flow Information Export
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A. Kobayashi, B. Claise, and G. Muenz
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- 2012
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25. An Overview of the IETF Network Management Standards
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B. Claise
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- 2012
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26. IP Flow Information Export (IPFIX) Per Stream Control Transmission Protocol (SCTP) Stream
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B. Claise, P. Aitken, A. Johnson, and G. Muenz
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- 2012
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27. Guidelines for Considering New Performance Metric Development
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A. Clark and B. Claise
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- 2011
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28. Export of Structured Data in IP Flow Information Export (IPFIX)
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B. Claise, G. Dhandapani, P. Aitken, and S. Yates
- Published
- 2011
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29. RFC6183: IP Flow Information Export (IPFIX) Mediation: Framework
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B Claise, G Muenz, and Kobayashi, Atsushi
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- 2011
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30. Une histoire de diplopie
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E Chanson, B Claise, Pierre Clavelou, F. Taithe, and F. Gampourou
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Neurology ,Neurology (clinical) - Published
- 2014
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31. Reducing Redundancy in IP Flow Information Export (IPFIX) and Packet Sampling (PSAMP) Reports
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E. Boschi, L. Mark, and B. Claise
- Published
- 2009
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32. A Framework for Packet Selection and Reporting
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D. Chiou, B. Claise, A. Greenberg, M. Grossglauser, and J. Rexford
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- 2009
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33. Guidelines for IP Flow Information Export (IPFIX) Testing
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C. Schmoll, P. Aitken, and B. Claise
- Published
- 2009
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34. Packet Delay Variation Applicability Statement
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A. Morton and B. Claise
- Published
- 2009
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35. Information Model for Packet Sampling Exports
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T. Dietz, B. Claise, P. Aitken, F. Dressler, and G. Carle
- Published
- 2009
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36. Architecture for IP Flow Information Export
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G. Sadasivan, N. Brownlee, B. Claise, and J. Quittek
- Published
- 2009
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37. IP Flow Information Export (IPFIX) Applicability
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T. Zseby, E. Boschi, N. Brownlee, and B. Claise
- Published
- 2009
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38. Information Model for IP Flow Information Export
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J. Quittek, S. Bryant, B. Claise, P. Aitken, and J. Meyer
- Published
- 2008
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39. [Radiology of central nervous system cavernomas]
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J, Gabrillargues, F-G, Barral, B, Claise, L, Manaira, and E, Chabert
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Central Nervous System Neoplasms ,Hemangioma, Cavernous, Central Nervous System ,Humans ,Tomography, X-Ray Computed ,Magnetic Resonance Imaging ,Cerebral Angiography - Abstract
MRI is the best radiological technique to explore cavernomas, vascular malformations affecting the entire central nervous system. The presence of blood degradation products produces a specific aspect which enables excellent contrast resolution. Certain diagnosis can be established with MRI which can also be used to follow growth and modifications, particularly in familial forms. In the emergency setting, the first exam is often a CT-scan for patients presenting acute neurological sign(s) and/or with a clinical suspicion of hemorrhagic stroke. Angiography is generally not contributive because cavernomas are occult vascular malformations. Nevertheless, this exam is often necessary when an associated vascular abnormality is suspected, particularly a developmental venous abnormality.
- Published
- 2007
40. Requirements for IP Flow Information Export (IPFIX)
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J. Quittek, T. Zseby, B. Claise, and S. Zander
- Published
- 2004
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41. [Venous angiography: importance in the diagnosis of brain death. 125 cases]
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L, Picard, M, Braun, R, Anxionnat, B, Claise, X, Ducrocq, B, Pincemaille, and H, Hepner
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Radiography ,Brain Death ,Humans ,Electroencephalography ,Cerebral Veins ,Retrospective Studies - Abstract
According to many ethical and humanitarian arguments, the diagnosis of "brain death" is more and more an emergency. The forensic criteria include abolition of consciousness, abolition of brain stem reflexes, abolition of spontaneous breathing joined to electrocerebral silence. However using EEG criteria of electrical silence may be unreliable because of technical artefacts or depressed electrical activity due to drug intoxication and hypothermia. Venous angiography was used in 125 cases: our experience proves reliability and efficiency of angiographic criteria for diagnosis of brain death. For organ transplant, it is better to be as fast as possible: transplanted organ will be better and it reduces the cost of a long useless intensive care. When it is necessary, we suggest to allow the choice between EEG and angiography.
- Published
- 1995
42. Deep brain stimulation of the subthalamic nucleus in severe Parkinson's disease: relationships between dual-contact topographic setting and 1-year worsening of speech and gait.
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El Ouadih Y, Marques A, Pereira B, Luisoni M, Claise B, Coste J, Sontheimer A, Chaix R, Debilly B, Derost P, Morand D, Durif F, and Lemaire JJ
- Subjects
- Humans, Speech, Quality of Life, Treatment Outcome, Subthalamic Nucleus physiology, Parkinson Disease complications, Parkinson Disease therapy, Deep Brain Stimulation methods
- Abstract
Background: Subthalamic nucleus (STN) deep brain stimulation (DBS) alleviates severe motor fluctuations and dyskinesia in Parkinson's disease, but may result in speech and gait disorders. Among the suspected or demonstrated causes of these adverse effects, we focused on the topography of contact balance (CB; individual, right and left relative dual positions), a scantly studied topic, analyzing the relationships between symmetric or non-symmetric settings, and the worsening of these signs., Method: An observational monocentric study was conducted on a series of 92 patients after ethical approval. CB was specified by longitudinal and transversal positions and relation to the STN (CB sub-aspects) and totalized at the patient level (patient CB). CB was deemed symmetric when the two contacts were at the same locations relative to the STN. CB was deemed asymmetric when at least one sub-aspect differed in the patient CB. Baseline and 1-year characteristics were routinely collected: (i) general, namely, Unified Parkinson's Disease Rating Scores (UPDRS), II, III motor and IV, daily levodopa equivalent doses, and Parkinson's Disease Questionnaire of Quality of Life (PDQ39) scores; (ii) specific, namely scores for speech (II-5 and III-18) and axial signs (II-14, III-28, III-29, and III-30). Only significant correlations were considered (p < 0.05)., Results: Baseline characteristics were comparable (symmetric versus asymmetric). CB settings were related to deteriorations of speech and axial signs: communication PDQ39 and UPDRS speech and gait scores worsened exclusively with symmetric settings; the most influential CB sub-aspect was symmetric longitudinal position., Conclusion: Our findings suggest that avoiding symmetric CB settings, whether by electrode positioning or shaping of electric fields, could reduce worsening of speech and gait., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.)
- Published
- 2023
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43. DTI Abnormalities Related to Glioblastoma: A Prospective Comparative Study with Metastasis and Healthy Subjects.
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El Ouadih Y, Pereira B, Biau J, Claise B, Chaix R, Verrelle P, Khalil T, Durando X, and Lemaire JJ
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- Diffusion Tensor Imaging methods, Healthy Volunteers, Humans, Prospective Studies, Brain Neoplasms secondary, Glioblastoma diagnostic imaging
- Abstract
(1) Background: Glioblastoma multiforme (GBM) shows complex mechanisms of spreading of the tumor cells, up to remote areas, and little is still known of these mechanisms, thus we focused on MRI abnormalities observable in the tumor and the brain adjacent to the lesion, up to the contralateral hemisphere, with a special interest on tensor diffusion imaging informing on white matter architecture; (2) Material and Methods: volumes, macroscopic volume (MV), brain-adjacent-tumor (BAT) volume and abnormal color-coded DTI volume (aCCV), and region-of-interest samples (probe volumes, ipsi, and contra lateral to the lesion), with their MRI characteristics, apparent diffusion coefficient (ADC), fractional anisotropy (FA) values, and number of fibers (DTI fiber tracking) were analyzed in patients suffering GBM ( n = 15) and metastasis ( n = 9), and healthy subjects ( n = 15), using ad hoc statistical methods (type I error = 5%) (3) Results: GBM volumes were larger than metastasis volumes, aCCV being larger in GBM and BAT ADC was higher in metastasis, ADC decreased centripetally in metastasis, FA increased centripetally either in GBM or metastasis, MV and BAT FA values were higher in GBM, ipsi FA values of GBM ROIs were higher than those of metastasis, and the GBM ipsi number of fibers was higher than the GBM contra number of fibers; (4) Conclusions: The MV, BAT and especially the aCCV, as well as their related water diffusion characteristics, could be useful biomarkers in oncology and functional oncology.
- Published
- 2022
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44. Anterior ischemic stroke: Comparison of two clinical outcome prediction scores through the investigation of cerebral collaterals using multiphase CT angiography.
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Nigron A, Bourgois N, Dao S, Lambert C, Perrier M, Akono S, Moreno R, Chabert E, Jean B, Claise B, Gerbaud L, Boyer L, and Zerroug A
- Subjects
- Cerebral Angiography, Collateral Circulation, Computed Tomography Angiography, Humans, Retrospective Studies, Tomography, X-Ray Computed, Treatment Outcome, Brain Ischemia diagnostic imaging, Ischemic Stroke, Stroke diagnostic imaging, Stroke therapy
- Abstract
Purpose: To compare the evaluation of collaterals on multiphase computed tomography (CT) angiography using the score proposed by the reference study by Menon et al. and the Alberta Stroke Program Early CT (ASPECT) score for the prediction of favorable clinical outcome in patients with anterior ischemic stroke (IS)., Materials and Methods: Retrospective single center study including 199 patients with anterior ischemic stroke and evaluated using multiphase CT angiography. Collaterals were assessed using the reference score and ASPECT score. The early clinical outcome [National Institute of Health Stroke Score (NIHSS) over day 1] and later clinical outcome [90-day modified Rankin Scale (mRS)] were collected. The primary analysis related to the association between collateral scores and clinical outcome., Results: Collaterals are an independent predictive factor of favorable clinical outcome with the two scores, ranging from an odds ratio (OR) [95% confidence interval (CI)] = 1.84 [1.23; 2.76], P = 0.003 for the reference score to an OR [95% CI] = 2.63 [1.21; 5.73], p = 0.015 for the phase 3 ASPECT score. The phase 3 ASPECT score offers better sensitivity (Se) for the prediction of a favorable clinical outcome [Se = 95%, specificity (Sp) = 37% for a threshold of 7/7] than the reference score (Se = 83%, Sp = 47% for a threshold of 4/5)., Conclusion: This study demonstrates the value of the ASPECT score in analyzing collaterals using multiphase CT angiography for the prediction of clinical outcome., (Copyright © 2019. Published by Elsevier Masson SAS.)
- Published
- 2021
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45. Early Deformation of Deep Brain Stimulation Electrodes Following Surgical Implantation: Intracranial, Brain, and Electrode Mechanics.
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Chapelle F, Manciet L, Pereira B, Sontheimer A, Coste J, El Ouadih Y, Cimpeanu R, Gouot D, Lapusta Y, Claise B, Sautou V, Bouattour Y, Marques A, Wohrer A, and Lemaire JJ
- Abstract
Introduction: Although deep brain stimulation is nowadays performed worldwide, the biomechanical aspects of electrode implantation received little attention, mainly as physicians focused on the medical aspects, such as the optimal indication of the surgical procedure, the positive and adverse effects, and the long-term follow-up. We aimed to describe electrode deformations and brain shift immediately after implantation, as it may highlight our comprehension of intracranial and intracerebral mechanics., Materials and Methods: Sixty electrodes of 30 patients suffering from severe symptoms of Parkinson's disease and essential tremor were studied. They consisted of 30 non-directional electrodes and 30 directional electrodes, implanted 42 times in the subthalamus and 18 times in the ventrolateral thalamus. We computed the x (transversal), y (anteroposterior), z (depth), torsion, and curvature deformations, along the electrodes from the entrance point in the braincase. The electrodes were modelized from the immediate postoperative CT scan using automatic voxel thresholding segmentation, manual subtraction of artifacts, and automatic skeletonization. The deformation parameters were computed from the curve of electrodes using a third-order polynomial regression. We studied these deformations according to the type of electrodes, the clinical parameters, the surgical-related accuracy, the brain shift, the hemisphere and three tissue layers, the gyration layer, the white matter stem layer, and the deep brain layer (type I error set at 5%)., Results: We found that the implanted first hemisphere coupled to the brain shift and the stiffness of the type of electrode impacted on the electrode deformations. The deformations were also different according to the tissue layers, to the electrode type, and to the first-hemisphere-brain-shift effect., Conclusion: Our findings provide information on the intracranial and brain biomechanics and should help further developments on intracerebral electrode design and surgical issues., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2021 Chapelle, Manciet, Pereira, Sontheimer, Coste, El Ouadih, Cimpeanu, Gouot, Lapusta, Claise, Sautou, Bouattour, Marques, Wohrer and Lemaire.)
- Published
- 2021
- Full Text
- View/download PDF
46. Progressive multifocal leukoencephalopathy: MRI findings in HIV-infected patients are closer to rituximab- than natalizumab-associated PML.
- Author
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Alleg M, Solis M, Baloglu S, Cotton F, Kerschen P, Bourre B, Ahle G, Pruvo JP, Leclerc X, Vermersch P, Papeix C, Maillart É, Houillier C, Chabrot CM, Claise B, Malak S, Martin-Blondel G, Bonneville F, Caulier A, Marolleau JP, Bonnefoy JT, Agape P, Kennel C, Roussel X, Chauchet A, De Seze J, Fafi-Kremer S, and Kremer S
- Subjects
- Brain diagnostic imaging, Humans, Magnetic Resonance Imaging, Natalizumab adverse effects, Retrospective Studies, Rituximab adverse effects, HIV Infections complications, HIV Infections drug therapy, Leukoencephalopathy, Progressive Multifocal chemically induced, Leukoencephalopathy, Progressive Multifocal diagnostic imaging
- Abstract
Objectives: To compare brain MRI findings in progressive multifocal leukoencephalopathy (PML) associated to rituximab and natalizumab treatments and HIV infection., Materials and Methods: In this retrospective, multicentric study, we analyzed brain MRI exams from 72 patients diagnosed with definite PML: 32 after natalizumab treatment, 20 after rituximab treatment, and 20 HIV patients. We compared T2- or FLAIR-weighted images, diffusion-weighted images, T2*-weighted images, and contrast enhancement features, as well as lesion distribution, especially gray matter involvement., Results: The three PML entities affect U-fibers associated with low signal intensities on T2*-weighted sequences. Natalizumab-associated PML showed a punctuate microcystic appearance in or in the vicinity of the main PML lesions, a potential involvement of the cortex, and contrast enhancement. HIV and rituximab-associated PML showed only mild contrast enhancement, punctuate appearance, and cortical involvement. The CD4/CD8 ratio showed a trend to be higher in the natalizumab group, possibly mirroring a more efficient immune response., Conclusion: Imaging features of rituximab-associated PML are different from those of natalizumab-associated PML and are closer to those observed in HIV-associated PML., Key Points: • Nowadays, PML is emerging as a complication of new effective therapies based on monoclonal antibodies. • Natalizumab-associated PML shows more inflammatory signs, a perivascular distribution "the milky way," and more cortex involvement than rituximab- and HIV-associated PML. • MRI differences are probably related to higher levels of immunosuppression in HIV patients and those under rituximab therapy.
- Published
- 2021
- Full Text
- View/download PDF
47. Disrupted Pallido-Thalamo-Cortical Functional Connectivity in Chronic Disorders of Consciousness.
- Author
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Sontheimer A, Pontier B, Claise B, Chassain C, Coste J, and Lemaire JJ
- Abstract
Chronic disorders of consciousness (DOC) encompass unresponsive wakefulness syndrome and minimally conscious state. Their anatomo-functional correlates are not clearly defined yet, although impairments of functional cortical networks have been reported, as well as the implication of the thalamus and deep brain structures. However, the pallidal functional connectivity with the thalamus and the cortical networks has not been studied so far. Using resting-state functional MRI, we conducted a functional connectivity study between the pallidum, the thalamus and the cortical networks in 13 patients with chronic DOC and 19 healthy subjects. We observed in chronic DOC patients that the thalami were no longer connected to the cortical networks, nor to the pallidums. Concerning the functional connectivity of pallidums, we reported an abolition of the negative correlation with the default mode network, and of the positive correlation with the salience network. The disrupted functional connectivity observed in chronic DOC patients between subcortical structures and cortical networks could be related to the mesocircuit model. A better understanding of the DOC underlying physiopathology could provide food for thought for future therapeutic proposals.
- Published
- 2021
- Full Text
- View/download PDF
48. Differences in BOLD responses in brain reward network reflect the tendency to assimilate a surprising flavor stimulus to an expected stimulus.
- Author
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Davidenko O, Bonny JM, Morrot G, Jean B, Claise B, Benmoussa A, Fromentin G, Tomé D, Nadkarni N, and Darcel N
- Subjects
- Adult, Beverages, Caudate Nucleus diagnostic imaging, Cerebral Cortex diagnostic imaging, Cues, Humans, Magnetic Resonance Imaging, Male, Nerve Net diagnostic imaging, Young Adult, Association, Brain Mapping methods, Caudate Nucleus physiology, Cerebral Cortex physiology, Nerve Net physiology, Reward, Taste Perception physiology, Visual Perception physiology
- Abstract
External information can modify the subjective value of a tasted stimulus, but little is known about neural mechanisms underlying these behavioral modifications. This study used flavored drinks to produce variable degrees of discrepancy between expected and received flavor. During a learning session, 43 healthy young men learned 4 symbol-flavor associations. In a separate session, associations were presented again during an fMRI scan, but half of the trials introduced discrepancy with previously learned associations. Liking ratings of drinks were collected and were analyzed using a linear model to define the degree to which discrepant symbols affected liking ratings of the subjects during the fMRI session. Based on these results, a GLM analysis of fMRI data was conducted to determine neural correlates of observed behavior. Groups of subjects were composed based on their behavior in response to discrepant symbols, and comparison of brain activity between groups showed that activation in the PCC and the caudate nucleus was more potent in those subjects in which liking was not affected by discrepant symbols. These activations were not found in subjects who assimilated unexpected flavors to flavors preceeded by discrepant symbols. Instead, these subjects showed differences in the activity in the parietal operculum. The activity of reward network appears to be related to assimilation of received flavor to expected flavor in response to symbol-flavor discrepancy., (Copyright © 2018 Elsevier Inc. All rights reserved.)
- Published
- 2018
- Full Text
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49. Personalized mapping of the deep brain with a white matter attenuated inversion recovery (WAIR) sequence at 1.5-tesla: Experience based on a series of 156 patients.
- Author
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Zerroug A, Gabrillargues J, Coll G, Vassal F, Jean B, Chabert E, Claise B, Khalil T, Sakka L, Feschet F, Durif F, Boyer L, Coste J, and Lemaire JJ
- Subjects
- Brain Mapping, Female, Globus Pallidus surgery, Humans, Imaging, Three-Dimensional methods, Magnetic Resonance Imaging methods, Male, Deep Brain Stimulation methods, Electrodes, Implanted, Stereotaxic Techniques, White Matter physiopathology
- Abstract
Objective: Deep brain mapping has been proposed for direct targeting in stereotactic functional surgery, aiming to personalize electrode implantation according to individual MRI anatomy without atlas or statistical template. We report our clinical experience of direct targeting in a series of 156 patients operated on using a dedicated Inversion Recovery Turbo Spin Echo sequence at 1.5-tesla, called White Matter Attenuated Inversion Recovery (WAIR)., Methods: After manual contouring of all pertinent structures and 3D planning of trajectories, 312 DBS electrodes were implanted. Detailed anatomy of close neighbouring structures, whether gray nuclei or white matter regions, was identified during each planning procedure. We gathered the experience of these 312 deep brain mappings and elaborated consistent procedures of anatomical MRI mapping for pallidal, subthalamic and ventral thalamic regions. We studied the number of times the central track anatomically optimized was selected for implantation of definitive electrodes., Results: WAIR sequence provided high-quality images of most common functional targets, successfully used for pure direct stereotactic targeting: the central track corresponding to the optimized primary anatomical trajectory was chosen for implantation of definitive electrodes in 90.38%., Conclusion: WAIR sequence is anatomically reliable, enabling precise deep brain mapping and direct stereotactic targeting under routine clinical conditions., (Copyright © 2016 Elsevier Masson SAS. All rights reserved.)
- Published
- 2016
- Full Text
- View/download PDF
50. Using High Spatial Resolution to Improve BOLD fMRI Detection at 3T.
- Author
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Iranpour J, Morrot G, Claise B, Jean B, and Bonny JM
- Subjects
- Adult, Brain physiology, Female, Humans, Magnetic Fields, Male, Oxygen blood, Signal-To-Noise Ratio, Brain Mapping methods, Functional Neuroimaging methods, Image Enhancement methods, Image Processing, Computer-Assisted methods, Magnetic Resonance Imaging methods
- Abstract
For different functional magnetic resonance imaging experiments using blood oxygenation level-dependent (BOLD) contrast, the acquisition of T2*-weighted scans at a high spatial resolution may be advantageous in terms of time-course signal-to-noise ratio and of BOLD sensitivity when the regions are prone to susceptibility artifacts. In this study, we explore this solution by examining how spatial resolution influences activations elicited when appetizing food pictures are viewed. Twenty subjects were imaged at 3 T with two different voxel volumes, 3.4 μl and 27 μl. Despite the diminution of brain coverage, we found that high-resolution acquisition led to a better detection of activations. Though known to suffer to different degrees from susceptibility artifacts, the activations detected by high spatial resolution were notably consistent with those reported in published activation likelihood estimation meta-analyses, corresponding to taste-responsive regions. Furthermore, these regions were found activated bilaterally, in contrast with previous findings. Both the reduction of partial volume effect, which improves BOLD contrast, and the mitigation of susceptibility artifact, which boosts the signal to noise ratio in certain regions, explained the better detection noted with high resolution. The present study provides further evidences that high spatial resolution is a valuable solution for human BOLD fMRI, especially for studying food-related stimuli.
- Published
- 2015
- Full Text
- View/download PDF
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