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826 results on '"Habert, Marie-Odile"'

54. Evaluation of amyloid status in a cohort of elderly individuals with memory complaints: validation of the method of quantification and determination of positivity thresholds

Author

Habert, Marie-Odile, Bertin, Hugo, Labit, Mickael, Diallo, Mamadou, Marie, Sullivan, Martineau, Kelly, Kas, Aurélie, Causse-Lemercier, Valérie, Bakardjian, Hovagim, Epelbaum, Stéphane, Chételat, Gael, Houot, Marion, Hampel, Harald, Dubois, Bruno, Mangin, Jean-François, Audrain, C., Bakardjian, H., Benali, H., Bertin, H., Boukadida, L., Cacciamani, F., Causse-Lemercier, V., Cavedo, E., Chiesa, P., Colliot, O., Dos Santos, A., Dubois, B., Durrleman, S., Epelbaum, S., Gagliardi, G., Genthon, R., Habert, M.-O., Hampel, H., Jungalee, N., Kas, A., Lehericy, S., Lamari, F., Letondor, C., Levy, M., Lista, S., Mochel, F., Nyasse, F., Poisson, C., Potier, M. C., Revillon, M., Rojkova, K., Roy, P., Santos-Andrade, K., Santos, A., Simon, V., Sole, M., Tandetnik, C., Thiebaud De Schotten, M., and INSIGHT-AD study group

Published
2017
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59. Decrease in the cortex/striatum metabolic ratio on [18F]-FDG PET: a biomarker of autoimmune encephalitis

Author

Frison, Eric, PROUST-LIMA, Cecile, Mangin, Jean-Francois, Habert, Marie-Odile, Bombois, Stephanie, Ousset, Pierre-Jean, Pasquier, Florence, Hanon, Olivier, Paquet, Claire, Gabelle, Audrey, Ceccaldi, Mathieu, Annweiler, Cédric, Krolak-Salmon, Pierre, Béjot, Yannick, Belin, Catherine, Wallon, David, Sauvee, Mathilde, Beaufils, Emilie, Bourdel-Marchasson, Isabelle, Jalenques, Isabelle, Chupin, Marie, Chêne, Geneviève, Dufouil, Carole, De Leiris, Nicolas, Ruel, Berangère, Vervandier, Jean, Boucraut, José, Grimaldi, Stephan, Horowitz, Tatiana, Pelletier, Jean, Fluchere, Frederique, Campion, Jacques-Yves, Kaphan, Elsa, Guedj, Eric, Service de médecine nucléaire [Marseille], Université de la Méditerranée - Aix-Marseille 2-Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE), Imagerie MOléculaire pour applications THéranostiques personnalisées (IMOTHEP), Institut FRESNEL (FRESNEL), Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)-École Centrale de Marseille (ECM)-Aix Marseille Université (AMU)- Hôpital de la Timone [CHU - APHM] (TIMONE), Centre Européen de Recherche en Imagerie médicale (CERIMED), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-École Centrale de Marseille (ECM)-Institut Paoli-Calmettes, Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Fédération nationale des Centres de lutte contre le Cancer (FNCLCC)-Centre National de la Recherche Scientifique (CNRS), Université Grenoble Alpes (UGA), Hôpital de la Timone [CHU - APHM] (TIMONE), Institut de Neurosciences des Systèmes (INS), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Département de Médecine Nucléaire [AP-HM], Assistance Publique - Hôpitaux de Marseille (APHM)- Hôpital de la Timone [CHU - APHM] (TIMONE)- Hôpital Nord [CHU - APHM], Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)- Hôpital de la Timone [CHU - APHM] (TIMONE), and Guedj, Eric

Subjects
18 F-FDG PET/CT, medicine.medical_specialty, Multivariate analysis, Striatum, Statistical parametric mapping, Gastroenterology, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, statistical parametric mapping, 0302 clinical medicine, Internal medicine, Cortex (anatomy), medicine, Radiology, Nuclear Medicine and imaging, Autoimmune encephalitis, [SDV.MHEP] Life Sciences [q-bio]/Human health and pathology, Receiver operating characteristic, business.industry, General Medicine, medicine.disease, MCI, medicine.anatomical_structure, inflammation, Encephalitis, biomarker, Biomarker (medicine), business, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, 030217 neurology & neurosurgery
Abstract

The aim of this [18F]-FDG PET study was to determine the diagnostic value of the cortex/striatum metabolic ratio in a large cohort of patients suffering from autoimmune encephalitis (AE) and to search for correlations with the course of the disease. We retrospectively collected clinical and paraclinical data of patients with AE, including brain 18F-FDG PET/CT. Whole-brain statistical analysis was performed using SPM8 software after activity parametrization to the striatum in comparison to healthy subjects. The discriminative performance of this metabolic ratio was evaluated in patients with AE using receiver operating characteristic curves against 44 healthy subjects and a control group of 688 patients with MCI. Relationship between cortex/striatum metabolic ratios and clinical/paraclinical data was assessed using univariate and multivariate analysis in patients with AE. Fifty-six patients with AE were included. In comparison to healthy subjects, voxel-based statistical analysis identified one large cluster (p-cluster

Published
2021

60. Relations between C9orf72 expansion size in blood, age at onset, age at collection and transmission across generations in patients and presymptomatic carriers

Author

Brice, Alexis, Auriacombe, Sophie, Belliard, Serge, Blanc, Frédéric, Bouteleau-Bretonnière, Claire, Ceccaldi, Mathieu, Couratier, Philippe, Didic, Mira, Dubois, Bruno, Duyckaerts, Charles, Etcharry-Bouix, Frédérique, Golfier, Véronique, Hannequin, Didier, Lacomblez, Lucette, Le Ber, Isabelle, Levy, Richard, Michel, Bernard-François, Pasquier, Florence, Thomas-Anterion, Catherine, Pariente, Jérémie, Sellal, François, Vercelletto, Martine, Benchetrit, Eve, Bertin, Hugo, Bertrand, Anne, Bissery, Anne, Bombois, Stéphanie, Boncoeur, Marie-Paule, Cassagnaud, Pascaline, Chastan, Mathieu, Chen, Yaohua, Chupin, Marie, Colliot, Olivier, Delbeucq, Xavier, Deramecourt, Vincent, Delmaire, Christine, Gerardin, Emmanuel, Hossein-Foucher, Claude, Habert, Marie-Odile, Lautrette, Géraldine, Lebouvier, Thibaud, Lehéricy, Stéphane, Le Toullec, Benjamin, Martineau, Kelly, Mackowiak, Marie-Anne, Monteil, Jacques, Petyt, Grégory, Pradat, Pierre-François, Oya, Assi-Hervé, Rinaldi, Daisy, Rollin-Sillaire, Adeline, Salachas, François, Sayah, Sabrina, Wallon, David, Fournier, Clémence, Barbier, Mathieu, Camuzat, Agnès, Anquetil, Vincent, Lattante, Serena, Clot, Fabienne, Cazeneuve, Cécile, Sabatelli, Mario, Forlani, Sylvie, Jornea, Ludmila, and Leguern, Eric

Published
2019
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61. Early Cognitive, Structural, and Microstructural Changes in Presymptomatic C9orf72 Carriers Younger Than 40 Years

Author

Bertrand, Anne, Wen, Junhao, Rinaldi, Daisy, Houot, Marion, Sayah, Sabrina, Camuzat, Agnès, Fournier, Clémence, Fontanella, Sabrina, Routier, Alexandre, Couratier, Philippe, Pasquier, Florence, Habert, Marie-Odile, Hannequin, Didier, Martinaud, Olivier, Caroppo, Paola, Levy, Richard, Dubois, Bruno, Brice, Alexis, Durrleman, Stanley, Colliot, Olivier, and Le Ber, Isabelle

Published
2018
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62. CATI: A Large Distributed Infrastructure for the Neuroimaging of Cohorts

Author

Operto, Grégory, Chupin, Marie, Batrancourt, Bénédicte, Habert, Marie-Odile, Colliot, Olivier, Benali, Habib, Poupon, Cyril, Champseix, Catherine, Delmaire, Christine, Marie, Sullivan, Rivière, Denis, Pélégrini-Issac, Mélanie, Perlbarg, Vincent, Trebossen, Régine, Bottlaender, Michel, Frouin, Vincent, Grigis, Antoine, Orfanos, Dimitri Papadopoulos, Dary, Hugo, Fillon, Ludovic, Azouani, Chabha, Bouyahia, Ali, Fischer, Clara, Edward, Lydie, Bouin, Mathilde, Thoprakarn, Urielle, Li, Jinpeng, Makkaoui, Leila, Poret, Sylvain, Dufouil, Carole, Bouteloup, Vincent, Chételat, Gaël, Dubois, Bruno, Lehéricy, Stéphane, Mangin, Jean-François, Cointepas, Yann, and and the CATI Consortium

Published
2016
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64. Brain Metabolic Changes in the Presymptomatic Stage of Frontotemporal Dementia Associated with GRN Mutations (S2.006)

Author

Saracino, Dario, primary, Sellami, Leila, additional, Boniface, Hugo, additional, Locatelli, Maxime, additional, Pelegrini-Issac, Mélanie, additional, Funkiewiez, Aurélie, additional, Houot, Marion, additional, Rinaldi, Daisy, additional, Dorgham, Karim, additional, Pasquier, Florence, additional, Chastan, Mathieu, additional, Hitzel, Anne, additional, Pariente, Jérémie, additional, Pallardy, Amandine, additional, Guedj, Eric, additional, Didic, Mira, additional, Kas, Aurelie, additional, Habert, Marie-Odile, additional, and Le Ber, Isabelle, additional

Published
2022
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68. Prodromal characteristics of Dementia with Lewy Bodies: baseline results of the Memento nationwide cohort

Author

Blanc, Frederic, primary, Bouteloup, Vincent, additional, Paquet, Claire, additional, Chupin, Marie, additional, Pasquier, Florence, additional, Gabelle, Audrey, additional, Ceccaldi, Mathieu, additional, Sousa, Paulo Loureiro, additional, Krolak-Salmon, Pierre, additional, David, Renaud, additional, Fischer, Clara, additional, Dartigues, Jean-François, additional, Wallon, David, additional, Moreaud, Olivier, additional, Sauvée, Mathilde, additional, Belin, Catherine, additional, Harston, Sandrine, additional, Botzung, Anne, additional, Albasser, Timothée, additional, Demuynck, Catherine, additional, Namer, Izzie, additional, Habert, Marie-Odile, additional, Kremer, Stéphane, additional, Bousiges, Olivier, additional, Verny, Marc, additional, Muller, Candice, additional, Philippi, Nathalie, additional, Chene, Geneviève, additional, Cretin, Benjamin, additional, Mangin, Jean-François, additional, and Dufouil, Carole, additional

Published
2022
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70. Additional file 1 of Explaining the association between social and lifestyle factors and cognitive functions: a pathway analysis in the Memento cohort

Author

Grasset, Leslie, Proust-Lima, Cécile, Mangin, Jean-François, Habert, Marie-Odile, Dubois, Bruno, Paquet, Claire, Hanon, Olivier, Gabelle, Audrey, Ceccaldi, Mathieu, Annweiler, Cédric, David, Renaud, Jonveaux, Therese, Belin, Catherine, Julian, Adrien, Rouch-Leroyer, Isabelle, Pariente, Jérémie, Locatelli, Maxime, Chupin, Marie, Chêne, Geneviève, and Dufouil, Carole

Abstract

Additional file 1: PET measurement additional information

Published
2022
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71. Additional file 8 of Explaining the association between social and lifestyle factors and cognitive functions: a pathway analysis in the Memento cohort

Author

Grasset, Leslie, Proust-Lima, Cécile, Mangin, Jean-François, Habert, Marie-Odile, Dubois, Bruno, Paquet, Claire, Hanon, Olivier, Gabelle, Audrey, Ceccaldi, Mathieu, Annweiler, Cédric, David, Renaud, Jonveaux, Therese, Belin, Catherine, Julian, Adrien, Rouch-Leroyer, Isabelle, Pariente, Jérémie, Locatelli, Maxime, Chupin, Marie, Chêne, Geneviève, and Dufouil, Carole

Abstract

Additional file 8: Fig. S2. Residual correlations of the structural equation model.

Published
2022
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72. Additional file 4 of Explaining the association between social and lifestyle factors and cognitive functions: a pathway analysis in the Memento cohort

Author

Grasset, Leslie, Proust-Lima, Cécile, Mangin, Jean-François, Habert, Marie-Odile, Dubois, Bruno, Paquet, Claire, Hanon, Olivier, Gabelle, Audrey, Ceccaldi, Mathieu, Annweiler, Cédric, David, Renaud, Jonveaux, Therese, Belin, Catherine, Julian, Adrien, Rouch-Leroyer, Isabelle, Pariente, Jérémie, Locatelli, Maxime, Chupin, Marie, Chêne, Geneviève, and Dufouil, Carole

Abstract

Additional file 4: Table S2. Estimates of the latent variables’ measurement equations from the structural equation model.

Published
2022
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73. Additional file 3 of Explaining the association between social and lifestyle factors and cognitive functions: a pathway analysis in the Memento cohort

Author

Grasset, Leslie, Proust-Lima, Cécile, Mangin, Jean-François, Habert, Marie-Odile, Dubois, Bruno, Paquet, Claire, Hanon, Olivier, Gabelle, Audrey, Ceccaldi, Mathieu, Annweiler, Cédric, David, Renaud, Jonveaux, Therese, Belin, Catherine, Julian, Adrien, Rouch-Leroyer, Isabelle, Pariente, Jérémie, Locatelli, Maxime, Chupin, Marie, Chêne, Geneviève, and Dufouil, Carole

Abstract

Additional file 3: Table S1. Description of ADRD biomarkers measures by age group, the Memento study

Published
2022
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74. Additional file 7 of Explaining the association between social and lifestyle factors and cognitive functions: a pathway analysis in the Memento cohort

Author

Grasset, Leslie, Proust-Lima, Cécile, Mangin, Jean-François, Habert, Marie-Odile, Dubois, Bruno, Paquet, Claire, Hanon, Olivier, Gabelle, Audrey, Ceccaldi, Mathieu, Annweiler, Cédric, David, Renaud, Jonveaux, Therese, Belin, Catherine, Julian, Adrien, Rouch-Leroyer, Isabelle, Pariente, Jérémie, Locatelli, Maxime, Chupin, Marie, Chêne, Geneviève, and Dufouil, Carole

Abstract

Additional file 7: Fig. S1. Detailed latent variables composition.

Published
2022
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75. Additional file 1 of Pilot study of repeated blood-brain barrier disruption in patients with mild Alzheimer���s disease with an implantable ultrasound device

Author

Epelbaum, St��phane, Burgos, Ninon, Canney, Michael, Matthews, Dawn, Houot, Marion, Santin, Mathieu D., Desseaux, Carole, Bouchoux, Guillaume, Stroer, Sebastian, Martin, Cyril, Habert, Marie-Odile, Levy, Marcel, Bah, Aicha, Martin, Karine, Delatour, Beno��t, Riche, Maximilien, Dubois, Bruno, Belin, Lisa, and Carpentier, Alexandre

Abstract

Additional file 1. Supplementary analyses at the global scale. Fig. S1. Baseline amyloid load for each participant in regional SUVRs and in target (implant) region (ROI1). All participants had a positive amyloid load in the region targeted by the sonication except for Patient 10 (threshold of 1.1 assumed for amyloid positivity). Fig. S2. Violin plots representing the distribution of the annualized percent changes (APC) in PET uptake for the current study ("BOREAL", n=9) and reference cohort ("ADNI", n=45) populations. The APC were computed for both the cognitive (left) amyloid PET (middle) and FDG PET (right) in the large (top) and small (bottom) regions of interest for PET imaging. No statistical difference was observed between BOREAL and ADNI (Kruskal-Wallis H-test with the Benjamini-Hochberg procedure to correct for multiple testing). Fig. S3. Typical Gd-DOTA concentration map obtained after a successful sonication session. Images are reoriented in order to contain the central axis of the implanted ultrasound implant (shown in pink). The implant region of interest covering brain tissues in the white and gray matter targeted by the ultrasound beam is shown in green. A non-sonicated control region defined in the contralateral hemisphere is also shown. Fig. S4. Acoustic field simulated in the brain for the SonoCloud-1 device at a nominal pressure of 1.03 MPa. The nominal pressure is calibrated in water at the natural focus (red cross) during manufacturing. The acoustic field in brain is evaluated from the measurement in water and considering an attenuation of 0.6 dB/cm/MHz. Table S1. Evaluation of BBB-disruption efficacy with metrics computed from T1 maps acquired after sonication. The differences of Gd-DOTA marked with * are above the criterion for detectable BBB disruption (2 times the standard deviation of all control ROIs, i.e. 13.9 ��g). Table S2. Regional standardized uptake value ratios (SUVR) obtained for the amyloid and FDG PET tracers at M0, M4 and M8, presented as average �� standard deviation. The amyloid uptake remained on average stable between M0 and M8 (no statistical difference according to the Wilcoxon signed rank test), while the FDG uptake decreased on average between M0 and M8 (significant difference in the left cortex, and in both the left and right angular + supramarginal + superior temporal gyri according to the Wilcoxon signed rank test after correction for multiple comparisons following the Benjamini-Hochberg procedure). L: left, R: right. Table S3. Comparison of the BOREAL and ADNI populations. No statistical difference exists in terms of age and mini mental state examination (MMSE) score (Kruskal-Wallis H-test) between the BOREAL and ADNI populations, nor in terms of regional PET standardized uptake value ratio (SUVR) at baseline and annualized percent change (APC) computed in both the large and small regions of interest (Kruskal-Wallis H-test with the Benjamini-Hochberg procedure to correct for multiple testing). L: left, R: right.

Published
2022
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76. Additional file 2 of Explaining the association between social and lifestyle factors and cognitive functions: a pathway analysis in the Memento cohort

Author

Grasset, Leslie, Proust-Lima, Cécile, Mangin, Jean-François, Habert, Marie-Odile, Dubois, Bruno, Paquet, Claire, Hanon, Olivier, Gabelle, Audrey, Ceccaldi, Mathieu, Annweiler, Cédric, David, Renaud, Jonveaux, Therese, Belin, Catherine, Julian, Adrien, Rouch-Leroyer, Isabelle, Pariente, Jérémie, Locatelli, Maxime, Chupin, Marie, Chêne, Geneviève, and Dufouil, Carole

Abstract

Additional file 2: Early to midlife ‘social factors’ and latelife ‘lifestyle factors’ latent measures additional information

Published
2022
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77. Additional file 5 of Explaining the association between social and lifestyle factors and cognitive functions: a pathway analysis in the Memento cohort

Author

Grasset, Leslie, Proust-Lima, Cécile, Mangin, Jean-François, Habert, Marie-Odile, Dubois, Bruno, Paquet, Claire, Hanon, Olivier, Gabelle, Audrey, Ceccaldi, Mathieu, Annweiler, Cédric, David, Renaud, Jonveaux, Therese, Belin, Catherine, Julian, Adrien, Rouch-Leroyer, Isabelle, Pariente, Jérémie, Locatelli, Maxime, Chupin, Marie, Chêne, Geneviève, and Dufouil, Carole

Abstract

Additional file 5: Table S3. Estimates of the direct and indirect effects of social and lifestyle indicators on ADRD biomarkers and cognitive performance using structural equation models, excluding social network from the lifestyle indicator.

Published
2022
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78. Additional file 6 of Explaining the association between social and lifestyle factors and cognitive functions: a pathway analysis in the Memento cohort

Author

Grasset, Leslie, Proust-Lima, Cécile, Mangin, Jean-François, Habert, Marie-Odile, Dubois, Bruno, Paquet, Claire, Hanon, Olivier, Gabelle, Audrey, Ceccaldi, Mathieu, Annweiler, Cédric, David, Renaud, Jonveaux, Therese, Belin, Catherine, Julian, Adrien, Rouch-Leroyer, Isabelle, Pariente, Jérémie, Locatelli, Maxime, Chupin, Marie, Chêne, Geneviève, and Dufouil, Carole

Abstract

Additional file 6: Table S4. Estimates of the direct and indirect effects of social and lifestyle indicators on ADRD biomarkers and cognitive performance using structural equation models, excluding physical leisure activities items.

Published
2022
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79. Biomarker-guided clustering of Alzheimer's disease clinical syndromes

Author

Toschi, Nicola, Lista, Simone, Lamari, Foudil, Genthon, Remy, Habert, Marie-Odile, Dubois, Bruno, Floris, Roberto, Garaci, Francesco, Vergallo, Andrea, Hampel, Harald, group, INSIGHT-preAD study, Initiative, Alzheimer Precision Medicine, Baldacci, Filippo, Bakardjian, Hovagim, Benali, Habib, Bertin, Hugo, Bonheur, Joel, Boukadida, Laurie, Boukerrou, Nadia, Cavedo, Enrica, Chiesa, Patrizia, Colliot, Olivier, Dubois, Marion, Epelbaum, Stéphane, Gagliardi, Geoffroy, Houot, Marion, Kas, Aurélie, Levy, Marcel, Zetterberg, Henrik, Metzinger, Christiane, Mochel, Fanny, Nyasse, Francis, Poisson, Catherine, Potier, Marie-Claude, Revillon, Marie, Santos, Antonio, Andrade, Katia Santos, Sole, Marine, Blennow, Kaj, Surtee, Mohmed, Thiebaut de Schotten, Michel, Younsi, Nadjia, Kilimann, Ingo, Teipel, Stefan J, Melo Dos Santos, Antonio, Alzheimer Precision Medicine [CHU Pitié-Salpétriêre] (GRC 21 AMP), 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), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Institut National de la Santé et de la Recherche Médicale (INSERM)-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)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Imagerie Biomédicale (LIB), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CCSD, Accord Elsevier, Università degli Studi di Roma Tor Vergata [Roma], Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Alzheimer Precision Medicine [CHU Pitié-Salpétriêre] (GRC 21 APM), Institut du Cerveau = Paris Brain Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), University of Pisa - Università di Pisa, University of Gothenburg (GU), University of Rostock, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Centre pour l'Acquisition et le Traitement des Images (CATI), Eisai, and Hovagim Bakardjian, Habib Benali, Hugo Bertin, Joel Bonheur, Laurie Boukadida, Nadia Boukerrou, Enrica Cavedo, Patrizia Chiesa, Olivier Colliot, Bruno Dubois, Marion Dubois, Stéphane Epelbaum, Geoffroy Gagliardi, Remy Genthon, Marie-Odile Habert, Harald Hampel, Marion Houot, Aurélie Kas, Foudil Lamari, Marcel Levy, Simone Lista, Christiane Metzinger, Fanny Mochel, Francis Nyasse, Catherine Poisson, Marie-Claude Potier, Marie Revillon, Antonio Santos, Katia Santos Andrade, Marine Sole, Mohmed Surtee, Michel Thiebaut de Schotten, Andrea Vergallo, Nadjia Younsi

Subjects
Male, 0301 basic medicine, Oncology, Aging, [SDV]Life Sciences [q-bio], cerebrospinal fluid [Amyloid beta-Peptides], Disease, 0302 clinical medicine, Risk Factors, General Neuroscience, Precision medicine, diagnosis [Alzheimer Disease], Alzheimer's disease, Middle Aged, Pathophysiology, 3. Good health, [SDV] Life Sciences [q-bio], cerebrospinal fluid [Alzheimer Disease], cerebrospinal fluid [Cognitive Dysfunction], cerebrospinal fluid [Biomarkers], Biomarker (medicine), Female, Biomarker-guided categorization, Clustering, medicine.medical_specialty, tau Proteins, Neuropathology, 03 medical and health sciences, Settore MED/36 - Diagnostica per Immagini e Radioterapia, Alzheimer Disease, Internal medicine, medicine, Humans, Dementia, Cognitive Dysfunction, ddc:610, cerebrospinal fluid [Peptide Fragments], Cluster analysis, Aged, Amyloid beta-Peptides, business.industry, medicine.disease, Settore FIS/07 - Fisica Applicata(Beni Culturali, Ambientali, Biol.e Medicin), Peptide Fragments, 030104 developmental biology, diagnosis [Cognitive Dysfunction], cerebrospinal fluid [tau Proteins], Spatial clustering, Neurology (clinical), Geriatrics and Gerontology, business, Biomarkers, 030217 neurology & neurosurgery, Developmental Biology
Abstract

International audience; Alzheimer's disease (AD) neuropathology is extremely heterogeneous, and the evolution from preclinical to mild cognitive impairment until dementia is driven by interacting genetic/biological mechanisms not fully captured by current clinical/research criteria. We characterized the heterogeneous "construct" of AD through a cerebrospinal fluid biomarker-guided stratification approach. We analyzed 5 validated pathophysiological cerebrospinal fluid biomarkers (Aβ1-42, t-tau, p-tau181, NFL, YKL-40) in 113 participants (healthy controls [N = 20], subjective memory complainers [N = 36], mild cognitive impairment [N = 20], and AD dementia [N = 37], age: 66.7 ± 10.4, 70.4 ± 7.7, 71.7 ± 8.4, 76.2 ± 3.5 years [mean ± SD], respectively) using Density-Based Spatial Clustering of Applications with Noise, which does not require a priori determination of the number of clusters. We found 5 distinct clusters (sizes: N = 38, 16, 24, 14, and 21) whose composition was independent of phenotypical groups. Two clusters showed biomarker profiles linked to neurodegenerative processes not associated with classical AD-related pathophysiology. One cluster was characterized by the neuroinflammation biomarker YKL-40. Combining nonlinear data aggregation with informative biomarkers can generate novel patient strata which are representative of cellular/molecular pathophysiology and may aid in predicting disease evolution and mechanistic drug response.

Published
2019

83. Recommendations of the International Working Group for the clinical diagnosis of Alzheimer’s disease

Author

Dubois, Bruno, primary, Villain, Nicolas, additional, Frisoni, Giovanni, additional, Rabinovici, Gil D., additional, Sabbagh, Marwan Noel, additional, Cappa, Stefano, additional, Bejanin, Alexandre, additional, Bombois, Stéphanie, additional, Epelbaum, Stéphane, additional, Teichmann, Marc, additional, Habert, Marie‐Odile, additional, Nordberg, Agneta K., additional, Blennow, Kaj, additional, Galasko, Doug R., additional, Stern, Yaakov, additional, Rowe, Christopher C., additional, Salloway, Stephen P., additional, Schneider, Lon S., additional, Cummings, Jeffrey L., additional, and Feldman, Howard, additional

Published
2021
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84. Clinical diagnosis of Alzheimer’s disease: Recommendations of the International Working Group (IWG)

Author

Villain, Nicolas, primary, Dubois, Bruno, additional, Frisoni, Giovanni B., additional, Rabinovici, Gil D., additional, Sabbagh, Marwan Noel, additional, Cappa, Stefano, additional, Bejanin, Alexandre, additional, Bombois, Stéphanie, additional, Epelbaum, Stéphane, additional, Teichmann, Marc, additional, Habert, Marie‐Odile, additional, Nordberg, Agneta K., additional, Blennow, Kaj, additional, Galasko, Doug R., additional, Stern, Yaakov, additional, Rowe, Christopher C., additional, Salloway, Stephen P., additional, Schneider, Lon S., additional, Cummings, Jeffrey L., additional, and Feldman, Howard H., additional

Published
2021
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86. Importance, limits and caveats of the use of “disorders of consciousness” to theorize consciousness

Author

Hermann, Bertrand, primary, Sangaré, Aude, additional, Munoz-Musat, Esteban, additional, Salah, Amina Ben, additional, Perez, Pauline, additional, Valente, Mélanie, additional, Faugeras, Frédéric, additional, Axelrod, Vadim, additional, Demeret, Sophie, additional, Marois, Clémence, additional, Pyatigorskaya, Nadya, additional, Habert, Marie-Odile, additional, Kas, Aurélie, additional, Sitt, Jacobo D, additional, Rohaut, Benjamin, additional, and Naccache, Lionel, additional

Published
2021
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88. Theta Band-Power Shapes Amyloid-Driven Longitudinal EEG Changes in Elderly Subjective Memory Complainers At-Risk for Alzheimer's Disease.

Author

Spinelli, Giuseppe, Bakardjian, Hovagim, Schwartz, Denis, Potier, Marie-Claude, Habert, Marie-Odile, Levy, Marcel, Dubois, Bruno, George, Nathalie, and INSIGHT-preAD study group

Subjects
PROTEIN metabolism, BRAIN, PROTEINS, ALZHEIMER'S disease, AMYLOIDOSIS, ELECTROENCEPHALOGRAPHY, MAGNETIC resonance imaging, IMPACT of Event Scale, EMISSION-computed tomography
Abstract

Background: Alzheimer's disease (AD) includes progressive symptoms spread along a continuum of preclinical and clinical stages. Although numerous studies uncovered the neuro-cognitive changes of AD, very little is known on the natural history of brain lesions and modifications of brain networks in elderly cognitively-healthy memory complainers at risk of AD for carrying pathophysiological biomarkers (amyloidopathy and tauopathy).Objective: We analyzed resting-state electroencephalography (EEG) of 318 cognitively-healthy subjective memory complainers from the INSIGHT-preAD cohort at the time of their first visit (M0) and two-years later (M24).Methods: Using 18F-florbetapir PET-scanner, subjects were stratified between amyloid negative (A-; n = 230) and positive (A+; n = 88) groups. Differences between A+ and A- were estimated at source-level in each band-power of the EEG spectrum.Results: At M0, we found an increase of theta power in the mid-frontal cortex in A+ compared to A-. No significant association was found between mid-frontal theta and the individuals' cognitive performance. At M24, theta power increased in A+ relative to A- individuals in the posterior cingulate cortex and the pre-cuneus. Alpha band revealed a peculiar decremental trend in posterior brain regions in the A+ relative to the A- group only at M24. Theta power increase over the mid-frontal and mid-posterior cortices suggests an hypoactivation of the default-mode network in the A+ individuals and a non-linear longitudinal progression at M24.Conclusion: We provide the first source-level longitudinal evidence on the impact of brain amyloidosis on the EEG dynamics of a large-scale, monocentric cohort of elderly individuals at-risk for AD. [ABSTRACT FROM AUTHOR]

Published
2022
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90. Pilot Study of Repeated Blood-Brain Barrier Disruption in Patients with Mild Alzheimer's Disease with an Implantable Ultrasound Device

Author

Epelbaum, Stephane, primary, Burgos, Ninon, additional, Canney, Michael, additional, Matthews, Dawn, additional, Houot, Marion, additional, Santin, Mathieu D., additional, Desseaux, Carole, additional, Bouchoux, Guillaume, additional, Stroer, Sebastian, additional, Martin, Cyril, additional, Habert, Marie-Odile, additional, Levy, Marcel, additional, Bah, Aicha, additional, Martin, Karine, additional, Delatour, Benoît, additional, Riche, Maximilien, additional, Dubois, Bruno, additional, Belin, Lisa, additional, and Carpentier, Alexandre, additional

Published
2021
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91. Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies

Author

Routier, Alexandre, primary, Burgos, Ninon, additional, Díaz, Mauricio, additional, Bacci, Michael, additional, Bottani, Simona, additional, El-Rifai, Omar, additional, Fontanella, Sabrina, additional, Gori, Pietro, additional, Guillon, Jérémy, additional, Guyot, Alexis, additional, Hassanaly, Ravi, additional, Jacquemont, Thomas, additional, Lu, Pascal, additional, Marcoux, Arnaud, additional, Moreau, Tristan, additional, Samper-González, Jorge, additional, Teichmann, Marc, additional, Thibeau-Sutre, Elina, additional, Vaillant, Ghislain, additional, Wen, Junhao, additional, Wild, Adam, additional, Habert, Marie-Odile, additional, Durrleman, Stanley, additional, and Colliot, Olivier, additional

Published
2021
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92. Subjective cognitive decline and rates of incident Alzheimer's disease and non–Alzheimer's disease dementia

Author

Slot, Rosalinde E R, Sikkes, Sietske A M, Lista, Simone, Luck, Tobias, Maruff, Paul, Molinuevo, José Luis, Kornhuber, Johannes, Reisberg, Barry, Riedel-Heller, Steffi G, Risacher, Shannon L, Roehr, Susanne, Sachdev, Perminder S, Berkhof, Johannes, Scarmeas, Nikolaos, Scheltens, Philip, Shulman, Melanie B, Saykin, Andrew J, Verfaillie, Sander C J, Visser, Pieter Jelle, Vos, Stephanie J B, Wagner, Michael, Wolfsgruber, Steffen, Jessen, Frank, Brodaty, Henry, Initiative, Alzheimer's Disease Neuroimaging, group, DESCRIPA working, group, INSIGHT-preAD study, group, SCD-I working, van der Flier, Wiesje M, Boada, Mercè, de Deyn, Peter Paul, Jones, Roy, Frisoni, Giovanni, Spiru, Luiza, Buckley, Rachel, Nobili, Flavio, Freund-Levi, Yvonne, Soininen, Hilkka, Verhey, Frans, Wallin, Åsa K, Touchon, Jacques, Rikkert, Marcel Olde, Rigaud, Anne-Sophie, Bullock, Roger, Tsolaki, Magda, Cavedo, Enrica, Vellas, Bruno, Wilcock, Gordon, Hampel, Harald, Froelich, Lutz, Bakardjian, Hovagim, Benali, Habib, Bertin, Hugo, Bonheur, Joel, Boukadida, Laurie, Boukerrou, Nadia, Dardiotis, Efthimios, Chiesa, Patrizia, Colliot, Olivier, Dubois, Bruno, Dubois, Marion, Epelbaum, Stéphane, Gagliardi, Geoffroy, Genthon, Remy, Habert, Marie-Odile, Guillo-Benarous, Francoise, Houot, Marion, Kas, Aurélie, Lamari, Foudil, Levy, Marcel, Metzinger, Christiane, Mochel, Fanny, Nyasse, Francis, Poisson, Catherine, Potier, Marie-Claude, Revillon, Marie, Santos, Antonio, Andrade, Katia Santos, Sole, Marine, Surtee, Mohmed, Thiebaud de Schotten, Michel, Vergallo, Andrea, Younsi, Nadjia, Kochan, Nicole A, Psychiatrie & Neuropsychologie, RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, DESCRIPA working group, INSIGHT-preAD study group, SCD-I working group, Neurology, Amsterdam Neuroscience - Neurodegeneration, Epidemiology and Data Science, APH - Methodology, APH - Personalized Medicine, and Clinical Neuropsychology

Subjects
0301 basic medicine, Male, NATIONAL INSTITUTE, Pediatrics, epidemiology [Cognitive Dysfunction], Epidemiology, Dementia incidence, Preclinical Alzheimer's disease, Vascular dementia, Cohort Studies, 0302 clinical medicine, RECRUITMENT METHODS, Risk Factors, Cognitive decline, Aged, 80 and over, Health Policy, Incidence, Hazard ratio, Middle Aged, Alzheimer's disease, IMPAIRMENT, 3. Good health, Psychiatry and Mental health, Disease Progression, Female, psychology [Cognitive Dysfunction], ASSOCIATION WORKGROUPS, Alzheimer’s disease, Frontotemporal dementia, Alzheimer's Disease Neuroimaging Initiative, MAJOR SUBTYPES, medicine.medical_specialty, psychology [Dementia], epidemiology [Dementia], Dementia Lewy bodies, Article, APOLIPOPROTEIN-E, 03 medical and health sciences, Cellular and Molecular Neuroscience, Diagnostic Self Evaluation, Developmental Neuroscience, SDG 3 - Good Health and Well-being, BASE-LINE CHARACTERISTICS, Subjective cognitive decline, Neurology (clinical), Geriatrics and Gerontology, Psychiatry and Mental Health, medicine, Dementia, Humans, Cognitive Dysfunction, ddc:610, OLDER-ADULTS, Preclinical Alzheimer’s disease, Aged, Proportional hazards model, business.industry, Memory clinic, medicine.disease, Self Concept, 030104 developmental biology, DIAGNOSTIC GUIDELINES, Human medicine, business, MEMORY COMPLAINTS, 030217 neurology & neurosurgery
Abstract

Introduction: In this multicenter study on subjective cognitive decline (SCD) in community-based and memory clinic settings, we assessed the (1) incidence of Alzheimer's disease (AD) and non-AD dementia and (2) determinants of progression to dementia.Methods: Eleven cohorts provided 2978 participants with SCD and 1391 controls. We estimated dementia incidence and identified risk factors using Cox proportional hazards models.Results: In SCD, incidence of dementia was 17.7 (95% Poisson confidence interval 15.2-20.3)/1000 person-years (AD: 11.5 [9.6-13.7], non-AD: 6.1 [4.7-7.7]), compared with 14.2 (11.3-17.6) in controls (AD: 10.1 [7.7-13.0], non-AD: 4.1 [2.6-6.0]). The risk of dementia was strongly increased in SCD in a memory clinic setting but less so in a community-based setting. In addition, higher age (hazard ratio 1.1 [95% confidence interval 1.1-1.1]), lower Mini-Mental State Examination (0.7 [0.66-0.8]), and apolipoprotein E epsilon 4 (1.8 [1.3-2.5]) increased the risk of dementia.Discussion: SCD can precede both AD and non-AD dementia. Despite their younger age, individuals with SCD in a memory clinic setting have a higher risk of dementia than those in community-based cohorts. (C) 2018 The Authors. Published by Elsevier Inc.

Published
2019

93. Relationship between Basal Forebrain Resting-State Functional Connectivity and Brain Amyloid-β Deposition in Cognitively Intact Older Adults with Subjective Memory Complaints

Author

Chiesa, Patrizia A, Cavedo, Enrica, Initiative, INSIGHT-preAD Study Group and the Alzheimer Precision Medicine, Grothe, Michel J, Houot, Marion, Teipel, Stefan J, Potier, Marie-Claude, Habert, Marie-Odile, Lista, Simone, Dubois, Bruno, and Hampel, Harald

Subjects
Male, Apolipoprotein E, diagnostic imaging [Basal Forebrain], Hippocampus, genetics [Alzheimer Disease], Audiology, 030218 nuclear medicine & medical imaging, 0302 clinical medicine, genetics [Memory Disorders], chemistry [Basal Forebrain], metabolism [Nerve Net], Basal forebrain, metabolism [Memory Disorders], physiology [Brain Chemistry], Magnetic Resonance Imaging, 030220 oncology & carcinogenesis, Cohort, metabolism [Basal Forebrain], Female, Alzheimer's disease, metabolism [Alzheimer Disease], medicine.medical_specialty, Basal Forebrain, Rest, Thalamus, metabolism [Amyloid beta-Peptides], diagnostic imaging [Memory Disorders], 03 medical and health sciences, Apolipoproteins E, Alzheimer Disease, medicine, Humans, Radiology, Nuclear Medicine and imaging, ddc:610, Aged, Retrospective Studies, Brain Chemistry, Memory Disorders, Amyloid beta-Peptides, Resting state fMRI, diagnostic imaging [Nerve Net], business.industry, Retrospective cohort study, medicine.disease, physiology [Rest], Positron-Emission Tomography, genetics [Apolipoproteins E], chemistry [Amyloid beta-Peptides], Nerve Net, business, diagnostic imaging [Alzheimer Disease]
Abstract

Purpose To evaluate the association between the global fibrillary amyloid-β pathology and the basal forebrain connectivity at rest in cognitively intact older adults at risk for Alzheimer disease. Materials and Methods This retrospective study was approved by the local ethics committee and written informed consent was obtained from all participants. Resting-state functional connectivity (RSFC) of anterior and posterior basal forebrain seeds was investigated, as well as PET-measured global amyloid-β load by using standardized uptake value ratio (SUVR) in 267 older cognitively intact individuals with subjective memory complaints (age range, 70-85 years; overall mean age, 75.8 years; 167 women [mean age, 75.9 years] and 100 men [mean age, 75.8 years]). The participants were from the Investigation of Alzheimer's Predictors in Subjective Memory Complainers (INSIGHT-preAD) cohort (date range, 2013-present). The relationship between SUVR and the basal forebrain RSFC was assessed, followed by the effects of apolipoprotein E (APOE) genotype and sex on the basal forebrain RSFC. Results Higher SUVR values correlated with lower posterior basal forebrain RSFC in the hippocampus and the thalamus (Pearson r =-0.23; P.001 corrected for familywise error [FWE]). Both sex and APOE genotype impacted the associations between basal forebrain RSFC and the global amyloid deposition (t values3.59; P.05 corrected for FWE). Conclusion Data indicate a distinct in vivo association between posterior basal forebrain dynamics and global fibrillary amyloid-β pathology in cognitively intact older adults with subjective memory complaints; both apolipoprotein E and sex moderate such association. © RSNA, 2018 Online supplemental material is available for this article. See also the editorial by Caspers in this issue.

Published
2019

95. Hybrid [18F]-F-DOPA PET/MRI Interpretation Criteria and Scores for Glioma Follow-up After Radiotherapy.

Author

Bertaux, Marc, Berenbaum, Arnaud, Di Stefano, Anna-Luisa, Rozenblum, Laura, Soret, Marine, Bergeret, Sebastien, Hoang-Xuan, Khé, Tainturier, Laure-Eugenie, Sgard, Brian, Habert, Marie-Odile, Delattre, Jean-Yves, Dehais, Caroline, Idbaih, Ahmed, Pyatigorskaya, Nadya, and Kas, Aurelie

Abstract

Objective: 18F‑fluoro-L‑3,4‑dihydroxyphenylalanine positron emission tomography (F‑DOPA PET) is used in glioma follow-up after radiotherapy to discriminate treatment-related changes (TRC) from tumor progression (TP). We compared the performances of a combined PET and MRI analysis with F‑DOPA current standard of interpretation. Methods: We included 76 consecutive patients showing at least one gadolinium-enhanced lesion on the T1‑w MRI sequence (T1G). Two nuclear medicine physicians blindly analyzed PET/MRI images. In addition to the conventional PET analysis, they looked for F‑DOPA uptake(s) outside T1G-enhanced areas (T1G/PET), in the white matter (WM/PET), for T1G-enhanced lesion(s) without sufficiently concordant F‑DOPA uptake (T1G+/PET), and F‑DOPA uptake(s) away from hemorrhagic changes as shown with a susceptibility weighted imaging sequence (SWI/PET). We measured lesions' F‑DOPA uptake ratio using healthy brain background (TBR) and striatum (T/S) as references, and lesions' perfusion with arterial spin labelling cerebral blood flow maps (rCBF). Scores were determined by logistic regression. Results: 53 and 23 patients were diagnosed with TP and TRC, respectively. The accuracies were 74% for T/S, 76% for TBR, and 84% for rCBF, with best cut-off values of 1.3, 3.7 and 1.25, respectively. For hybrid variables, best accuracies were obtained with conventional analysis (82%), T1G+/PET (82%) and SWI/PET (81%). T1G+/PET, SWI/PET and rCBF ≥ 1.25 were selected to construct a 3-point score. It outperformed conventional analysis and rCBF with an AUC of 0.94 and an accuracy of 87%. Conclusions: Our scoring approach combining F‑DOPA PET and MRI provided better accuracy than conventional PET analyses for distinguishing TP from TRC in our patients after radiation therapy. [ABSTRACT FROM AUTHOR]

Published
2022
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97. The spatiotemporal changes in dopamine, neuromelanin and iron characterizing Parkinson’s disease

Author

Biondetti, Emma, primary, Santin, Mathieu D, additional, Valabrègue, Romain, additional, Mangone, Graziella, additional, Gaurav, Rahul, additional, Pyatigorskaya, Nadya, additional, Hutchison, Matthew, additional, Yahia-Cherif, Lydia, additional, Villain, Nicolas, additional, Habert, Marie-Odile, additional, Arnulf, Isabelle, additional, Leu-Semenescu, Smaranda, additional, Dodet, Pauline, additional, Vila, Miquel, additional, Corvol, Jean-Christophe, additional, Vidailhet, Marie, additional, and Lehéricy, Stéphane, additional

Published
2021
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98. The spatiotemporal changes in dopamine, neuromelanin and iron characterizing Parkinson's disease

Author

Biondetti, Emma, Santin, Mathieu D., Valabrègue, Romain, Mangone, Graziella, Gaurav, Rahul, Pyatigorskaya, Nadya, Hutchison, Matthew, Yahia-Cherif, Lydia, Villain, Nicolas, Habert, Marie-Odile, Arnulf, Isabelle, Leu-Semenescu, Smaranda, Dodet, Pauline, Vila Bover, Miquel, Corvol, Jean-Christophe, Vidailhet, Marie, Lehéricy, Stéphane, Universitat Autònoma de Barcelona, Biondetti, Emma, Santin, Mathieu D., Valabrègue, Romain, Mangone, Graziella, Gaurav, Rahul, Pyatigorskaya, Nadya, Hutchison, Matthew, Yahia-Cherif, Lydia, Villain, Nicolas, Habert, Marie-Odile, Arnulf, Isabelle, Leu-Semenescu, Smaranda, Dodet, Pauline, Vila Bover, Miquel, Corvol, Jean-Christophe, Vidailhet, Marie, Lehéricy, Stéphane, and Universitat Autònoma de Barcelona

Abstract

In Parkinson's disease, there is a progressive reduction in striatal dopaminergic function, and loss of neuromelanin-containing dopaminergic neurons and increased iron deposition in the substantia nigra. We tested the hypothesis of a relationship between impairment of the dopaminergic system and changes in the iron metabolism. Based on imaging data of patients with prodromal and early clinical Parkinson's disease, we assessed the spatiotemporal ordering of such changes and relationships in the sensorimotor, associative and limbic territories of the nigrostriatal system. Patients with Parkinson's disease (disease duration < 4 years) or idiopathic REM sleep behaviour disorder (a prodromal form of Parkinson's disease) and healthy controls underwent longitudinal examination (baseline and 2-year follow-up). Neuromelanin and iron sensitive MRI and dopamine transporter single-photon emission tomography were performed to assess nigrostriatal levels of neuromelanin, iron, and dopamine. For all three functional territories of the nigrostriatal system, in the clinically most and least affected hemispheres separately, the following was performed: cross-sectional and longitudinal intergroup difference analysis of striatal dopamine and iron, and nigral neuromelanin and iron; in Parkinson's disease patients, exponential fitting analysis to assess the duration of the prodromal phase and the temporal ordering of changes in dopamine, neuromelanin or iron relative to controls; and voxel-wise correlation analysis to investigate concomitant spatial changes in dopamine-iron, dopamine-neuromelanin and neuromelanin-iron in the substantia nigra pars compacta. The temporal ordering of dopaminergic changes followed the known spatial pattern of progression involving first the sensorimotor, then the associative and limbic striatal and nigral regions. Striatal dopaminergic denervation occurred first followed by abnormal iron metabolism and finally neuromelanin changes in the substantia nigra par

Published
2021

100. Frontal Assessment Battery is a marker of dorsolateral and medial frontal functions: A SPECT study in frontotemporal dementia

Author

Guedj, Eric, Allali, Gilles, Goetz, Celine, Le Ber, Isabelle, Volteau, Magali, Lacomblez, Lucette, Vera, Pierre, Hitzel, Anne, Hannequin, Didier, Decousus, Marielle, Thomas-Antérion, Catherine, Magne, Christine, Vercelletto, Martine, Bernard, Anne-Marie, Didic, Mira, Lotterie, Jean-Albert, Puel, Michèle, Brice, Alexis, the French research network on FTD/FTD-MND, Habert, Marie-Odile, and Dubois, Bruno

Published
2008
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