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1. Association of cerebrospinal fluid α-synuclein with total and phospho-tau181 protein concentrations and brain amyloid load in cognitively normal subjective memory complainers stratified by Alzheimer's disease biomarkers

Author: Audrain, C., Auffret, A., Bakardjian, H., Baldacci, F., Batrancourt, B., Benakki, I., Benali, H., Bertin, H., Bertrand, A., Boukadida, L., Cacciamani, F., Causse, V., Cavedo, E., Cherif Touil, S., Chiesa, P.A., Colliot, O., Dalla Barba, G., Depaulis, M., Dos Santos, A., Dubois, B., Dubois, M., Epelbaum, S., Fontaine, B., Francisque, H., Gagliardi, G., Genin, A., Genthon, R., Glasman, P., Gombert, F., Habert, M.O., Hampel, H., Hewa, H., Houot, M., Jungalee, N., Kas, A., Kilani, M., La Corte, V., Le Roy, F., Lehericy, S., Letondor, C., Levy, M., Lista, S., Lowrey, M., Ly, J., Makiese, O., Masetti, I., Mendes, A., Metzinger, C., Michon, A., Mochel, F., Nait Arab, R., Nyasse, F., Perrin, C., Poirier, F., Poisson, C., Potier, M.C., Ratovohery, S., Revillon, M., Rojkova, K., Santos-Andrade, K., Schindler, R., Servera, M.C., Seux, L., Simon, V., Skovronsky, D., Thiebaut, M., Uspenskaya, O., Vlaincu, M., Aguilar, L.F., Babiloni, C., Benda, N., Black, K.L., Bokde, A.L.W., Bonuccelli, U., Broich, K., Bun, R.S., Cacciola, F., Castrillo, J., Ceravolo, R., Coman, C.M., Corvol, J.C., Cuello, A.C., Cummings, J.L., Depypere, H., Duggento, A., Durrleman, S., Escott-Price, V., Federoff, H., Ferretti, M.T., Fiandaca, M., Frank, R.A., Garaci, F., George, N., Giorgi, F.S., Graziani, M., Haberkamp, M., Herholz, K., Karran, E., Kim, S.H., Koronyo, Y., Koronyo-Hamaoui, M., Lamari, F., Langevin, T., Lehéricy, S., Lorenceau, J., Mapstone, M., Neri, C., Nisticò, R., Nyasse-Messene, F., O'Bryant, S.E., Perry, G., Ritchie, C., Rossi, S., Santarnecchi, E., Schneider, L.S., Sporns, O., Toschi, N., Verdooner, S.R., Vergallo, A., Villain, N., Welikovitch, L., Woodcock, J., Younesi, E., Vergallo, Andrea, Bun, René-Sosata, Toschi, Nicola, Baldacci, Filippo, Zetterberg, Henrik, Blennow, Kaj, Cavedo, Enrica, Lamari, Foudil, Habert, Marie-Odile, Dubois, Bruno, Floris, Roberto, Garaci, Francesco, Lista, Simone, and Hampel, Harald
Published: 2018
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2. Effect of Alzheimer's disease risk and protective factors on cognitive trajectories in subjective memory complainers: An INSIGHT-preAD study

Author: Audrain, C., Auffret, A., Bakardjian, H., Baldacci, F., Batrancourt, B., Benakki, I., Benali, H., Bertin, H., Bertrand, A., Boukadida, L., Cacciamani, F., Causse, V., Cavedo, E., Cherif Touil, S., Chiesa, P.A., Colliot, O., Dalla Barba, G., Depaulis, M., Dos Santos, A., Dubois, B., Dubois, M., Epelbaum, S., Fontaine, B., Francisque, H., Gagliardi, G., Genin, A., Genthon, R., Glasman, P., Gombert, F., Habert, M.O., Hampel, H., Hewa, H., Houot, M., Jungalee, N., Kas, A., Kilani, M., La Corte, V., Le Roy, F., Lehericy, S., Letondor, C., Levy, M., Lista, S., Lowrey, M., Ly, J., Makiese, O., Masetti, I., Mendes, A., Metzinger, C., Michon, A., Mochel, F., Nait Arab, R., Nyasse, F., Perrin, C., Poirier, F., Poisson, C., Potier, M.C., Ratovohery, S., Revillon, M., Rojkova, K., Santos-Andrade, K., Schindler, R., Servera, M.C., Seux, L., Simon, V., Skovronsky, D., Thiebaut, M., Uspenskaya, O., Vlaincu, M., Teipel, Stefan J., Cavedo, Enrica, Lista, Simone, Habert, Marie-Odile, Potier, Marie-Claude, Grothe, Michel J., Epelbaum, Stephane, Sambati, Luisa, Gagliardi, Geoffroy, Toschi, Nicola, Greicius, Michael D., Dubois, Bruno, and Hampel, Harald
Published: 2018
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3. 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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4. Exploiting Opponents Under Utility Constraints in Sequential Games

Author: Martino Bernasconi, Cacciamani, F., Fioravanti, S., Gatti, N., Marchesi, A., and Trovò, F.
Published: 2021

5. Differential default mode network trajectories in asymptomatic individuals at risk for Alzheimer's disease

Author: Chiesa P. A., Cavedo E., Vergallo A., Lista S., Potier M. -C., Habert M. -O., Dubois B., Thiebaut de Schotten M., Hampel H., Audrain C., Auffret A., Bakardjian H., Baldacci F., Batrancourt B., Benakki I., Benali H., Bertin H., Bertrand A., Boukadida L., Cacciamani F., Causse V., Cherif Touil S., Colliot O., Dalla Barba G., Depaulis M., Dos Santos A., Dubois M., Epelbaum S., Fontaine B., Francisque H., Gagliardi G., Genin A., Genthon R., Glasman P., Gombert F., Habert M. O., Hewa H., Houot M., Jungalee N., Kas A., Kilani M., La Corte V., Le Roy F., Lehericy S., Letondor C., Levy M., Lowrey M., Ly J., Makiese O., Masetti I., Mendes A., Metzinger C., Michon A., Mochel F., Nait Arab R., Nyasse F., Perrin C., Poirier F., Poisson C., Potier M. C., Ratovohery S., Revillon M., Rojkova K., Santos-Andrade K., Schindler R., Servera M. C., Seux L., Simon V., Skovronsky D., Uspenskaya O., Vlaincu M., Aguilar L. F., Babiloni C., Benda N., Black K. L., Bokde A. L. W., Bonuccelli U., Broich K., Cacciola F., Castrillo J., Ceravolo R., Corvol J. -C., Claudio Cuello A., Cummings J. L., Depypere H., Duggento A., Durrleman S., Escott-Price V., Federoff H., Teresa Ferretti M., Fiandaca M., Frank R. A., Garaci F., Geerts H., George N., Giorgi F. S., Graziani M., Haberkamp M., Herholz K., Karran E., Kim S. H., Koronyo Y., Koronyo-Hamaoui M., Lamari F., Langevin T., Lorenceau J., Mango D., Mapstone M., Neri C., Nistico R., O'Bryant S. E., Palermo G., Perry G., Ritchie C., Rossi S., Saidi A., Santarnecchi E., Schneider L. S., Sporns O., Toschi N., Verdooner S. R., Villain N., Welikovitch L. A., Woodcock J., Younesi E., 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), Service de Neuroradiologie [CHU Pitié-Salpêtrière], 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), Treat SVD, 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), sans affiliation, Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Sorbonne Université (SU), Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), 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)-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)-Centre National de la Recherche Scientifique (CNRS), Université de Bordeaux (UB), Service de neurologie 1 [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Service de médecine nucléaire [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre des Maladies Cognitives et Comportementales [Paris], Fraunhofer Center for Assistive Information and Communication Solutions [Porto] (Fraunhofer AICOS), Fraunhofer (Fraunhofer-Gesellschaft), Ariana Pharmaceuticals, McGill University = Université McGill [Montréal, Canada], Universidad Autonoma de Madrid (UAM), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome], University of Pisa - Università di Pisa, Federal Institute of Drugs and Medical Devices [Bonn], Discipline of Psychiatry [Dublin], School of Medicine [Dublin], Trinity College Dublin-Trinity College Dublin, Universita degli Studi di Messina, University of Catania [Italy], University of Cambridge [UK] (CAM), Lou Ruvo Center for Brain Health [Las Vegas], Cleveland Clinic, Università degli Studi di Roma Tor Vergata [Roma], University of Pavia, Cardiff University, Universität Zürich [Zürich] = University of Zurich (UZH), University of California [Irvine] (UCI), University of California, Siemens Healthineers, Digital Services, Digital Technology and Innovation, In Silico Biosciences (ISB), Abdus Salam International Centre for Theoretical Physics [Trieste] (ICTP), University of California [San Francisco] (UCSF), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), University of Manchester [Manchester], National Institute on Aging [Bethesda, USA] (NIA), National Institutes of Health [Bethesda] (NIH), Abbvie Inc. [North Chicago], Institute of Psychiatry, Psychology & Neuroscience, King's College London, King‘s College London, University of Britsh Columbia [Vancouver], Cedars-Sinai Medical Center, Functional Neuromodulation, CIBER de Enfermedades Raras (CIBERER), Institut de la Vision, Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM), European Brain Research Institute [Rome, Italy] (EBRI), Adaptation Biologique et Vieillissement = Biological Adaptation and Ageing (B2A), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Institute for Aging and Alzheimer’s Disease Research [Fort Worth] (IAADR), University of North Texas Health Science Center [Fort Worth], University of Auckland [Auckland], University of Edinburgh, Università degli Studi di Siena = University of Siena (UNISI), Harvard Medical School [Boston] (HMS), Keck School of Medicine [Los Angeles], University of Southern California (USC), Indiana State University, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), NeuroVision Imaging, Fondation pour la Recherche sur Alzheimer, Center for Drug Evaluation and Research (CDER), European Society for Translational Medicine (EUSTM), Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service d'Explorations Fonctionnelles Neurologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de médecine nucléaire [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP), Fraunhofer AICOS [Porto], McGill University, Sapienza University [Rome], University of Zürich [Zürich] (UZH), Università degli Studi di Roma 'La Sapienza' [Rome], CHU Pitié-Salpêtrière [APHP], Service de neuro-radiologie [CHU Pitié-Salpêtrière], Università degli Studi di Siena (UNISI), Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Service de Médecine nucléaire [CHU Pitié-Salpétrière], Universidad Autónoma de Madrid (UAM), 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), Laboratoire d'Imagerie Biomédicale [Paris] (LIB), Sans affiliation, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), 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)-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)-Centre National de la Recherche Scientifique (CNRS), Università degli Studi di Roma 'La Sapienza' = Sapienza University [Rome] (UNIROMA), Università degli Studi di Messina = University of Messina (UniMe), Università degli Studi di Pavia = University of Pavia (UNIPV), University of California [Irvine] (UC Irvine), University of California (UC), University of California [San Francisco] (UC San Francisco), University of British Columbia [Vancouver], Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Chiesa, P. A., Cavedo, E., Vergallo, A., Lista, S., Potier, M. -C., Habert, M. -O., Dubois, B., Thiebaut de Schotten, M., Hampel, H., Audrain, C., Auffret, A., Bakardjian, H., Baldacci, F., Batrancourt, B., Benakki, I., Benali, H., Bertin, H., Bertrand, A., Boukadida, L., Cacciamani, F., Causse, V., Cherif Touil, S., Colliot, O., Dalla Barba, G., Depaulis, M., Dos Santos, A., Dubois, M., Epelbaum, S., Fontaine, B., Francisque, H., Gagliardi, G., Genin, A., Genthon, R., Glasman, P., Gombert, F., Habert, M. O., Hewa, H., Houot, M., Jungalee, N., Kas, A., Kilani, M., La Corte, V., Le Roy, F., Lehericy, S., Letondor, C., Levy, M., Lowrey, M., Ly, J., Makiese, O., Masetti, I., Mendes, A., Metzinger, C., Michon, A., Mochel, F., Nait Arab, R., Nyasse, F., Perrin, C., Poirier, F., Poisson, C., Potier, M. C., Ratovohery, S., Revillon, M., Rojkova, K., Santos-Andrade, K., Schindler, R., Servera, M. C., Seux, L., Simon, V., Skovronsky, D., Uspenskaya, O., Vlaincu, M., Aguilar, L. F., Babiloni, C., Benda, N., Black, K. L., Bokde, A. L. W., Bonuccelli, U., Broich, K., Cacciola, F., Castrillo, J., Ceravolo, R., Corvol, J. -C., Claudio Cuello, A., Cummings, J. L., Depypere, H., Duggento, A., Durrleman, S., Escott-Price, V., Federoff, H., Teresa Ferretti, M., Fiandaca, M., Frank, R. A., Garaci, F., Geerts, H., George, N., Giorgi, F. S., Graziani, M., Haberkamp, M., Herholz, K., Karran, E., Kim, S. H., Koronyo, Y., Koronyo-Hamaoui, M., Lamari, F., Langevin, T., Lorenceau, J., Mango, D., Mapstone, M., Neri, C., Nistico, R., O'Bryant, S. E., Palermo, G., Perry, G., Ritchie, C., Rossi, S., Saidi, A., Santarnecchi, E., Schneider, L. S., Sporns, O., Toschi, N., Verdooner, S. R., Villain, N., Welikovitch, L. A., Woodcock, J., Younesi, E., and Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0301 basic medicine, Apolipoprotein E, Epidemiology, Brain activity and meditation, Precuneus, Disease, Neuropsychological Tests, Hippocampus, Cohort Studies, [SCCO]Cognitive science, 0302 clinical medicine, Medicine, Longitudinal Studies, Default mode network, ComputingMilieux_MISCELLANEOUS, Brain Mapping, Subjective memory complaints, Brain functional dynamic, Health Policy, Precision medicine, fMRI, Settore BIO/14, Brain, Brain functional dynamics, Alzheimer's disease, Magnetic Resonance Imaging, Temporal Lobe, Frontal Lobe, Psychiatry and Mental health, medicine.anatomical_structure, Cohort, Biomarker (medicine), Female, Amyloid, 03 medical and health sciences, Cellular and Molecular Neuroscience, Apolipoproteins E, Developmental Neuroscience, Alzheimer Disease, Humans, Aged, Resting state fMRI, business.industry, [SCCO.NEUR]Cognitive science/Neuroscience, 030104 developmental biology, Neurology (clinical), Geriatrics and Gerontology, business, Neuroscience, 030217 neurology & neurosurgery
Abstract: Introduction The longitudinal trajectories of functional brain dynamics and the impact of genetic risk factors in individuals at risk for Alzheimer's disease are poorly understood. Methods In a large-scale monocentric cohort of 224 amyloid stratified individuals at risk for Alzheimer's disease, default mode network (DMN) resting state functional connectivity (FC) was investigated between two serial time points across 2 years. Results Widespread DMN FC changes were shown in frontal and posterior areas, as well as in the right hippocampus. There were no cross-sectional differences, however, apolipoprotein E e4 (APOE e4) carriers demonstrated slower increase in FC in frontal lobes. There was no impact of individual brain amyloid load status. Discussion For the first time, we demonstrated that the pleiotropic biological effect of the APOE e4 allele impacts the dynamic trajectory of the DMN during aging. Dynamic functional biomarkers may become useful surrogate outcomes for the development of preclinical targeted therapeutic interventions.
Published: 2019

6. Awareness of cognitive decline trajectories in asymptomatic individuals at risk for AD

Author: Cacciamani, F., Sambati, L., Houot, M., Habert, M. -O., Dubois, B., Epelbaum, S., Audrain, C., Auffret, A., Bakardjian, H., Baldacci, F., Batrancourt, B., Benakki, I., Benali, H., Bertin, H., Bertrand, A., Boukadida, L., Causse, V., Cavedo, E., Cherif Touil, S., Chiesa, P. A., Colliot, O., Dalla Barba, G., Depaulis, M., Dos Santos, A., Dubois, M., Fontaine, B., Francisque, H., Gagliardi, G., Genin, A., Genthon, R., Glasman, P., Gombert, F., Habert, M. O., Hampel, H., Hewa, H., Jungalee, N., Kas, A., Kilani, M., La Corte, V., Le Roy, F., Lehericy, S., Letondor, C., Levy, M., Lista, S., Lowrey, M., Ly, J., Makiese, O., Masetti, I., Mendes, A., Metzinger, C., Michon, A., Mochel, F., Nait Arab, R., Nyasse, F., Perrin, C., Poirier, F., Poisson, C., Potier, M. C., Ratovohery, S., Revillon, M., Rojkova, K., Santos-Andrade, K., Schindler, R., Servera, M. C., Seux, L., Simon, V., Skovronsky, D., Thiebaut, M., Uspenskaya, O., Vlaincu, M., 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)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Algorithms, models and methods for images and signals of the human brain (ARAMIS), Sorbonne Université (SU)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Istituti di Ricovero e Cura a Carattere Scientifico (IRCCS), Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service de Neurologie [CHU Pitié-Salpêtrière], IFR70-CHU Pitié-Salpêtrière [AP-HP], CATI Multicenter Neuroimaging Platform (CATI), Service de Médecine nucléaire [CHU Pitié-Salpétrière], Centre de recherche en Myologie – U974 SU-INSERM, Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Supported by NIH (OR 76675882).The study was promoted by INSERM in collaboration with ICM, and Pfizerand has received support within the'Investissement d’Avenir'(ANR-10-AIHU-06) program. The study was promoted in collaboration with the'CHU deBordeaux'(coordination CIC EC7), the promoter of Memento cohort, fundedby the Foundation Plan-Alzheimer. The study was further supported by AVID/Lilly. This project/research has received funding from the European Union’s Horizon 2020 Framework Program for Research and Innovation under the Specific Grant Agreement No. 785907 (Human Brain Project SGA2).The funding sources had no role in the study design, data collection, data analysis, or data interpretation., 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), 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)-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)-Centre National de la Recherche Scientifique (CNRS), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Sorbonne Université (SU), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de médecine nucléaire [CHU Pitié-Salpétrière], Centre de Recherche en Myologie, 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 National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Institut du Cerveau = Paris Brain Institute (ICM), 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)-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)-Centre National de la Recherche Scientifique (CNRS), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)
Subjects: Male, Amyloid, medicine.medical_specialty, Neurology, genetic structures, Awareness, Brain, Cognitive decline, Preclinical Alzheimer’s disease, [SDV]Life Sciences [q-bio], Cognitive Neuroscience, Disease, Asymptomatic, lcsh:RC346-429, lcsh:RC321-571, 03 medical and health sciences, 0302 clinical medicine, Alzheimer Disease, Memory, Internal medicine, medicine, Humans, Cognitive Dysfunction, Amyloid burden, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, lcsh:Neurology. Diseases of the nervous system, Amyloid beta-Peptides, 030214 geriatrics, business.industry, Research, Cognition, Cohort, Disease Progression, Neurology (clinical), medicine.symptom, business, Biomarkers, 030217 neurology & neurosurgery, Geriatric psychiatry
Abstract: Background Lack of awareness of cognitive decline (ACD) is common in late-stage Alzheimer’s disease (AD). Recent studies showed that ACD can also be reduced in the early stages. Methods We described different trends of evolution of ACD over 3 years in a cohort of memory-complainers and their association to amyloid burden and brain metabolism. We studied the impact of ACD at baseline on cognitive scores’ evolution and the association between longitudinal changes in ACD and in cognitive score. Results 76.8% of subjects constantly had an accurate ACD (reference class). 18.95% showed a steadily heightened ACD and were comparable to those with accurate ACD in terms of demographic characteristics and AD biomarkers. 4.25% constantly showed low ACD, had significantly higher amyloid burden than the reference class, and were mostly men. We found no overall effect of baseline ACD on cognitive scores’ evolution and no association between longitudinal changes in ACD and in cognitive scores. Conclusions ACD begins to decrease during the preclinical phase in a group of individuals, who are of great interest and need to be further characterized. Trial registration The present study was conducted as part of the INSIGHT-PreAD study. The identification number of INSIGHT-PreAD study (ID-RCB) is 2012-A01731-42.
Published: 2020

7. Association of cerebrospinal fluid α-synuclein with total and phospho-tau181 protein concentrations and brain amyloid load in cognitively normal subjective memory complainers stratified by Alzheimer's disease biomarkers

Author: Vergallo, A, Bun, R, Toschi, N, Baldacci, F, Zetterberg, H, Blennow, K, Cavedo, E, Lamari, F, Habert, M, Dubois, B, Floris, R, Garaci, F, Lista, S, Hampel, H, Audrain, C, Auffret, A, Bakardjian, H, Batrancourt, B, Benakki, I, Benali, H, Bertin, H, Bertrand, A, Boukadida, L, Cacciamani, F, Causse, V, Cherif Touil, S, Chiesa, Pa, Colliot, O, Dalla Barba, G, Depaulis, M, Dos Santos, A, Dubois, M, Epelbaum, S, Fontaine, B, Francisque, H, Gagliardi, G, Genin, A, Genthon, R, Glasman, P, Gombert, F, Habert, Mo, Hewa, H, Houot, M, Jungalee, N, Kas, A, Kilani, M, La Corte, V, Le Roy, F, Lehericy, S, Letondor, C, Levy, M, Lowrey, M, Ly, J, Makiese, O, Masetti, I, Mendes, A, Metzinger, C, Michon, A, Mochel, F, Nait Arab, R, Nyasse, F, Perrin, C, Poirier, F, Poisson, C, Potier, Mc, Ratovohery, S, Revillon, M, Rojkova, K, Santos-Andrade, K, Schindler, R, Servera, Mc, Seux, L, Simon, V, Skovronsky, D, Thiebaut, M, Uspenskaya, O, Vlaincu, M, Aguilar, Lf, Babiloni, C, Benda, N, Black, Kl, Bokde, Alw, Bonuccelli, U, Broich, K, Bun, Rs, Cacciola, F, Castrillo, J, Ceravolo, R, Coman, Cm, Corvol, Jc, Cuello, Ac, Cummings, Jl, Depypere, H, Duggento, A, Durrleman, S, Escott-Price, V, Federoff, H, Ferretti, Mt, Fiandaca, M, Frank, Ra, George, N, Giorgi, Fs, Graziani, M, Haberkamp, M, Herholz, K, Karran, E, Kim, Sh, Koronyo, Y, Koronyo-Hamaoui, M, Langevin, T, Lehéricy, S, Lorenceau, J, Mapstone, M, Neri, C, Nisticò, R, Nyasse-Messene, F, O'Bryant, Se, Perry, G, Ritchie, C, Rossi, S, Santarnecchi, E, Schneider, Ls, Sporns, O, Verdooner, Sr, Villain, N, Welikovitch, L, Woodcock, J, Younesi, E, Vergallo, A., Bun, R. -S., Toschi, N., Baldacci, F., Zetterberg, H., Blennow, K., Cavedo, E., Lamari, F., Habert, M. -O., Dubois, B., Floris, R., Garaci, F., Lista, S., Hampel, H., Audrain, C., Auffret, A., Bakardjian, H., Batrancourt, B., Benakki, I., Benali, H., Bertin, H., Bertrand, A., Boukadida, L., Cacciamani, F., Causse, V., Cherif Touil, S., Chiesa, P. A., Colliot, O., Dalla Barba, G., Depaulis, M., Dos Santos, A., Dubois, M., Epelbaum, S., Fontaine, B., Francisque, H., Gagliardi, G., Genin, A., Genthon, R., Glasman, P., Gombert, F., Habert, M. O., Hewa, H., Houot, M., Jungalee, N., Kas, A., Kilani, M., La Corte, V., Le Roy, F., Lehericy, S., Letondor, C., Levy, M., Lowrey, M., Ly, J., Makiese, O., Masetti, I., Mendes, A., Metzinger, C., Michon, A., Mochel, F., Nait Arab, R., Nyasse, F., Perrin, C., Poirier, F., Poisson, C., Potier, M. C., Ratovohery, S., Revillon, M., Rojkova, K., Santos-Andrade, K., Schindler, R., Servera, M. C., Seux, L., Simon, V., Skovronsky, D., Thiebaut, M., Uspenskaya, O., Vlaincu, M., Aguilar, L. F., Babiloni, C., Benda, N., Black, K. L., Bokde, A. L. W., Bonuccelli, U., Broich, K., Bun, R. S., Cacciola, F., Castrillo, J., Ceravolo, R., Coman, C. M., Corvol, J. C., Cuello, A. C., Cummings, J. L., Depypere, H., Duggento, A., Durrleman, S., Escott-Price, V., Federoff, H., Ferretti, M. T., Fiandaca, M., Frank, R. A., George, N., Giorgi, F. S., Graziani, M., Haberkamp, M., Herholz, K., Karran, E., Kim, S. H., Koronyo, Y., Koronyo-Hamaoui, M., Langevin, T., Lorenceau, J., Mapstone, M., Neri, C., Nistico, R., Nyasse-Messene, F., O'Bryant, S. E., Perry, G., Ritchie, C., Rossi, S., Santarnecchi, E., Schneider, L. S., Sporns, O., Verdooner, S. R., Villain, N., Welikovitch, L., Woodcock, J., and Younesi, E.
Subjects: 0301 basic medicine, Epidemiology, Alzheimer's disease, Amyloid PET, Cerebrospinal fluid, Monocentric, Preclinical, Subjective memory complainers, SUVR, Synergistic, Tau protein, α-Synuclein, chemistry.chemical_compound, 0302 clinical medicine, biology, Health Policy, Settore FIS/07, Settore BIO/14, Pathophysiology, Psychiatry and Mental health, medicine.symptom, medicine.medical_specialty, Amyloid, Asymptomatic, 03 medical and health sciences, Cellular and Molecular Neuroscience, Developmental Neuroscience, Neurology (clinical), Geriatrics and Gerontology, Psychiatry and Mental Health, Internal medicine, mental disorders, medicine, Dementia, Alpha-synuclein, business.industry, Alzheimer's disease biomarkers, medicine.disease, 030104 developmental biology, Endocrinology, nervous system, chemistry, Subjective memory complainer, biology.protein, business, 030217 neurology & neurosurgery
Abstract: Introduction Several neurodegenerative brain proteinopathies, including Alzheimer's disease (AD), are associated with cerebral deposition of insoluble aggregates of α-synuclein. Previous studies reported a trend toward increased cerebrospinal fluid (CSF) α-synuclein (α-syn) concentrations in AD compared with other neurodegenerative diseases and healthy controls. Methods The pathophysiological role of CSF α-syn in asymptomatic subjects at risk of AD has not been explored. We performed a large-scale cross-sectional observational monocentric study of preclinical individuals at risk for AD (INSIGHT-preAD). Results We found a positive association between CSF α-syn concentrations and brain β-amyloid deposition measures as mean cortical standard uptake value ratios. We demonstrate positive correlations between CSF α-syn and both CSF t-tau and p-tau 181 concentrations. Discussion Animal models presented evidence, indicating that α-syn may synergistically and directly induce fibrillization of both tau and β-amyloid. Our data indicate an association of CSF α-syn with AD-related pathophysiological mechanisms, during the preclinical phase of the disease.
Published: 2018

8. Low Cognitive Awareness, but Not Complaint, is a Good Marker of Preclinical Alzheimer's Disease

Author: Cacciamani, Federica, Tandetnik, Caroline, Gagliardi, Geoffroy, Bertin, Hugo, Habert, Marie-Odile, Hampel, Harald, Boukadida, Laurie, Révillon, Marie, Epelbaum, Stéphane, Dubois, Bruno, Audrain, C, Auffret, A, Bakardjian, H, Baldacci, F, Batrancourt, B, Benakki, I, Benali, H, Bertin, H, Bertrand, A, Boukadida, L, Cacciamani, F, Causse, V, Cavedo, E, Cherif Touil, S, Chiesa, P A, Colliot, O, Dalla Barba, G, Depaulis, M, Dos Santos, A, Dubois, B, Dubois, M, Epelbaum, S, Fontaine, B, Francisque, H, Gagliardi, G, Genin, A, Genthon, R, Glasman, P, Gombert, F, Habert, M O, Hampel, H, Hewa, H, Houot, M, Jungalee, N, Kas, A, Kilani, M, La Corte, V, Le Roy, F, Lehericy, S, Letondor, C, Levy, M, Lista, S, Lowrey, M, Ly, J, Makiese, O, Masetti, I, Mendes, A, Metzinger, C, Michon, A, Mochel, F, Nait Arab, R, Nyasse, F, Perrin, C, Poirier, F, Poisson, C, Potier, M C, Ratovohery, S, Revillon, M, Rojkova, K, Santos-Andrade, K, Schindler, R, Servera, M C, Seux, L, Simon, V, Skovronsky, D, Thiebaut, M, Uspenskaya, O, Vlaincu, M, Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), Université Pierre et Marie Curie - Paris 6 (UPMC)-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), CHU Pitié-Salpêtrière [AP-HP], 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), Université Pierre et Marie Curie - Paris 6 (UPMC)-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)-Centre National de la Recherche Scientifique (CNRS), Institut de Mécanique et d'Ingénierie de Bordeaux (I2M), Institut National de la Recherche Agronomique (INRA)-Université de Bordeaux (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université (HESAM)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Algorithms, models and methods for images and signals of the human brain (ARAMIS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-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)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Université Pierre et Marie Curie - Paris 6 (UPMC), Service de Neuroradiologie [CHU Pitié-Salpêtrière], École Nationale Supérieure d'Arts et Métiers (ENSAM), HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Institut National de la Recherche Agronomique (INRA), Service de médecine nucléaire [CHU Pitié-Salpétrière], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Inria de Paris, Service d'Explorations Fonctionnelles Neurologie [CHU Pitié-Salpêtrière], Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-CHU Pitié-Salpêtrière [APHP], Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [APHP], HESAM Université (HESAM)-HESAM Université (HESAM)-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [APHP]-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-CHU Pitié-Salpêtrière [APHP]-Inria de Paris, Cacciamani, Federica, Tandetnik, Caroline, Gagliardi, Geoffroy, Bertin, Hugo, Habert, Marie-Odile, Hampel, Harald, Boukadida, Laurie, Révillon, Marie, Epelbaum, Stéphane, Dubois, Bruno, Audrain, C, Auffret, A, Bakardjian, H, Baldacci, F, Batrancourt, B, Benakki, I, Benali, H, Bertin, H, Bertrand, A, Boukadida, L, Cacciamani, F, Causse, V, Cavedo, E, Cherif Touil, S, Chiesa, P A, Colliot, O, Dalla Barba, G, Depaulis, M, Dos Santos, A, Dubois, B, Dubois, M, Epelbaum, S, Fontaine, B, Francisque, H, Gagliardi, G, Genin, A, Genthon, R, Glasman, P, Gombert, F, Habert, M O, Hampel, H, Hewa, H, Houot, M, Jungalee, N, Kas, A, Kilani, M, La Corte, V, Le Roy, F, Lehericy, S, Letondor, C, Levy, M, Lista, S, Lowrey, M, Ly, J, Makiese, O, Masetti, I, Mendes, A, Metzinger, C, Michon, A, Mochel, F, Nait Arab, R, Nyasse, F, Perrin, C, Poirier, F, Poisson, C, Potier, M C, Ratovohery, S, Revillon, M, Rojkova, K, Santos-Andrade, K, Schindler, R, Servera, M C, Seux, L, Simon, V, Skovronsky, D, Thiebaut, M, Uspenskaya, O, Vlaincu, M, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS), Service de Médecine nucléaire [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], and Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Centre National de la Recherche Scientifique (CNRS)-Inria de Paris
Subjects: Male, Ethylene Glycol, [SDV]Life Sciences [q-bio], awarene, Neuropsychological Tests, Alzheimer’s disease, awareness, biomarkers, cognitive complaints, subjective cognitive decline, Aged, Aged, 80 and over, Alzheimer Disease, Analysis of Variance, Aniline Compounds, Brain, Brain Mapping, Cognitive Dysfunction, Ethylene Glycols, Female, Functional Laterality, Humans, Positron-Emission Tomography, Psychiatric Status Rating Scales, Surveys and Questionnaires, Awareness, cognitive complaint, [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases, 80 and over, Surveys and Questionnaire, Aniline Compound, Psychiatric Status Rating Scale, Alzheimer's disease, Clinical Psychology, Psychiatry and Mental Health, biomarker, Neuropsychological Test, Geriatrics and Gerontology, Human
Abstract: International audience; Background:Subjective cognitive decline (SCD) may result from many conditions, including Alzheimer’s disease (AD). Objective:In this study, we searched for a specific pattern of SCD in asymptomatic individuals at risk for AD. Methods:Cognitively normal older adults (N = 318) reporting SCD and their informants were enrolled in the INSIGHT-PreAD cohort. We examined the relationship between six SCD measures and both cognitive scores and AD neuroimaging markers (amyloid burden, hippocampal atrophy and brain hypometabolism). An awareness of cognitive decline index (ACDI) has been introduced based on the subject-informant discrepancy in a questionnaire of SCD and participants with low versus high awareness were compared. Results:Scores in the INSIGHT-PreAD SCD questionnaires did not correlate with AD neuroimaging markers. As well, no correlation has been found between SCD measures and cognitive scores. Comparing subjects with a low (n = 19) and high (n = 86) level of awareness, no significant difference in terms of demography, neuropsychiatric symptoms, autonomy, quality of life, cognition, and hippocampal volume was found. However, the “low awareness” group showed greater amyloid burden and lower cortical metabolism, compared to the “high awareness” group. Conclusion:This study provided additional evidence that reporting SCD by itself is not a specific symptom of preclinical AD. Conversely, a low cognitive awareness (namely, when subjects report fewer difficulties than their relatives do) may represent a very early form of anosognosia and serve as a specific indicator of preclinical AD. This finding is of key importance as an enrichment factor to consider in both clinical practice and research trials.
Published: 2017

9. Gray Matter Network Disruptions and Regional Amyloid Beta in Cognitively Normal Adults

Author: ten Kate, Mara, Visser, Pieter Jelle, Bakardjian, Hovagim, Barkhof, Frederik, Sikkes, Sietske A. M., van der Flier, Wiesje M., Scheltens, Philip, Hampel, Harald, Habert, Marie-Odile, Dubois, Bruno, Tijms, Betty M., Audrain, C., Auffret, A., Bakardjian, H., Baldacci, F., Batrancourt, B., Benakki, I., Benali, H., Bertin, H., Bertrand, A., Boukadida, L., Cacciamani, F., Causse, V., Cavedo, E., Cherif Touil, S., Chiesa, P. A., Colliot, O., Dalla Barba, G., Depaulis, M., Dos Santos, A., Dubois, B., Dubois, M., Epelbaum, S., Fontaine, B., Francisque, H., Gagliardi, G., Genin, A., Genthon, R., Glasman, P., Gombert, F., Habert, M. O., Hampel, H., Hewa, H., Houot, M., Jungalee, N., Kas, A., Kilani, M., La Corte, V., Le Roy, F., Lehericy, S., Letondor, C., Levy, M., Lista, S., Lowrey, M., Ly, J., Makiese, O., Masetti, I., Mendes, A., Metzinger, C., Michon, A., Mochel, F., Nait Arab, R., Nyasse, F., Perrin, C., Poirier, F., Poisson, C., Potier, M. C., Ratovohery, S., Revillon, M., Rojkova, K., Santos-Andrade, K., Schindler, R., Servera, M. C., Seux, L., Simon, V., Skovronsky, D., Thiebaut, M., Uspenskaya, O., Vlaincu, M., Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Université Pierre et Marie Curie - Paris 6 (UPMC), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-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), AXA Research Fund, Sorbonne Université (SU), Alzheimer Precision Medicine [CHU Pitié-Salpétriêre] (GRC 21 AMP), CHU Pitié-Salpêtrière [AP-HP], Laboratoire d'Imagerie Biomédicale (LIB), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), RS: MHeNs - R1 - Cognitive Neuropsychiatry and Clinical Neuroscience, Psychiatrie & Neuropsychologie, Radiology and nuclear medicine, Amsterdam Neuroscience - Neurodegeneration, Neurology, APH - Personalized Medicine, APH - Methodology, and Epidemiology and Data Science
Subjects: 0301 basic medicine, PRECLINICAL ALZHEIMERS-DISEASE, Aging, 0302 clinical medicine, Original Research, biology, medicine.diagnostic_test, subjective memory complaints, APOE GENOTYPE, Alzheimer's disease, medicine.anatomical_structure, Cerebral cortex, Positron emission tomography, Cardiology, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], STRUCTURAL COVARIANCE, Alzheimer’s disease, MRI, medicine.medical_specialty, Amyloid, Amyloid beta, Cognitive Neuroscience, graph theory, PLAQUE BURDEN, Standardized uptake value, Cognitive neuroscience, SPATIAL-PATTERNS, gray matter network, lcsh:RC321-571, Graph theory, Gray matter network, PET, Subjective memory complaints, 03 medical and health sciences, POSITRON-EMISSION-TOMOGRAPHY, Internal medicine, CEREBRAL-CORTEX, medicine, Dementia, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Pathological, business.industry, HUMAN CORTICAL NETWORKS, medicine.disease, amyloid beta, BRAIN NETWORKS, 030104 developmental biology, PROSPECTIVE COHORT, biology.protein, business, 030217 neurology & neurosurgery, Neuroscience
Abstract: for the INSIGHT-preAD study group; International audience; The accumulation of amyloid plaques is one of the earliest pathological changes in Alzheimer's disease (AD) and may occur 20 years before the onset of symptoms. Examining associations between amyloid pathology and other early brain changes is critical for understanding the pathophysiological underpinnings of AD. Alterations in gray matter networks might already start at early preclinical stages of AD. In this study, we examined the regional relationship between amyloid aggregation measured with positron emission tomography (PET) and gray matter network measures in elderly subjects with subjective memory complaints. Single-subject gray matter networks were extracted from T1-weigthed structural MRI in cognitively normal subjects (n = 318, mean age 76.1 ± 3.5, 64% female, 28% amyloid positive). Degree, clustering, path length and small world properties were computed. Global and regional amyloid load was determined using [ 18 F]-Florbetapir PET. Associations between standardized uptake value ratio (SUVr) values and network measures were examined using linear regression models. We found that higher global SUVr was associated with lower clustering (β = −0.12, p < 0.05), and small world values (β = −0.16, p < 0.01). Associations were most prominent in orbito-and dorsolateral frontal and parieto-occipital regions. Local SUVr values showed less anatomical variability and did not convey additional information beyond global amyloid burden. In conclusion, we found that in cognitively normal elderly subjects, increased global amyloid pathology is associated with alterations in gray matter networks that are indicative of incipient network breakdown towards AD dementia.
Published: 2018

10. Evidence of practice effect in CANTAB spatial working memory test in a cohort of patients with mild cognitive impairment

Author: Cacciamani, F., Salvadori, N., Eusebi, P., Lisetti, V., Luchetti, E., Calabresi, Paolo, Parnetti, L., Calabresi P. (ORCID:0000-0003-0326-5509), Cacciamani, F., Salvadori, N., Eusebi, P., Lisetti, V., Luchetti, E., Calabresi, Paolo, Parnetti, L., and Calabresi P. (ORCID:0000-0003-0326-5509)
Abstract: The Cambridge Neuropsychological Test Automated Battery (CANTAB) is a system of neuropsychological tests frequently used to track the progression of cognitive deficits in mild cognitive impairment (MCI) and Alzheimer’s disease (AD). We investigated test–retest reliability in seven CANTAB tests. Twenty-five MCI patients, with either AD-like or conflicting/normal cerebrospinal fluid profiles underwent three testing sessions at 6-month intervals, including the following tests: Reaction Time and Rapid Visual Information Processing (assessing attention and reaction times); Delayed Matching-to-Sample, Paired Associates Learning, Spatial Recognition Memory and Pattern Recognition Memory (assessing memory); Spatial Working Memory (assessing executive functions). No significant difference was found when comparing the two groups. Many CANTAB measures obtained low or marginal test-retest coefficients. We observed a marked improvement in Spatial Working Memory (SWM) in both groups when comparing the baseline performance with the 6-month follow-up, but no difference in performance between 6- and 12-month follow-ups. A similar trend was documented in Paired Associates Learning (PAL), but the effect size was small. Such improvement may result from a practice effect, likely due to the learning of an effective strategy. Our evidence raised an important issue concerning the need for methodological caution when interpreting the results of longitudinal studies using SWM and PAL.
Published: 2018

11. The meta-memory ratio: a new cohort-independent way to measure cognitive awareness in asymptomatic individuals at risk for Alzheimer's disease.

Author: Gagliardi, Geoffroy, Houot, Marion, Cacciamani, Federica, Habert, Marie-Odile, Dubois, Bruno, Epelbaum, Stéphane, for ADNI; for the INSIGHT-preAD study group, Audrain, C., Auffret, A., Bakardjian, H., Baldacci, F., Batrancourt, B., Benakki, I., Benali, H., Bertin, H., Bertrand, A., Boukadida, L., Cacciamani, F., Causse, V., and Cavedo, E.
Subjects: ALZHEIMER'S disease, AWARENESS
Abstract: Background: Lack of awareness of cognitive decline (ACD) has been described at the preclinical and prodromal stages of Alzheimer's disease (AD). In this study, we introduced a meta-memory ratio (MMR) and explored how it is associated with neuroimaging AD biomarkers in asymptomatic individuals at risk for AD. Method: Four hundred forty-eight cognitively healthy participants from two cohorts of subjective memory complainers (INSIGHT-PreAD and ADNI) were included. Regression models were used to assess the impact of AD biomarkers on the MMR. Result: In both cohorts, there was a significant quadratic effect of cerebral amyloidosis on the MMR value. In particular, participants had a high ACD up to the amyloid positivity threshold, above which a decrease of ACD was eventually observed as the amyloid load increased. Conclusion: This nonlinear evolution of ACD in very early AD must be taken into account in clinical care and for trial enrollment as well. [ABSTRACT FROM AUTHOR]
Published: 2020
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12. Very-compact Waveguide Bandpass Filter based on Dual-Mode TM Cavities for Satellite Applications in Ku-band

Author: Pelliccia, L., primary, Tomassoni, C., additional, Cacciamani, F., additional, Vallerotonda, P., additional, Sorrentino, R., additional, Galdeano, J., additional, and Ernst, C., additional
Published: 2018
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13. Compact broadband waveguide filter with wide spurious-free range based on mixed TM and combline resonators

Author: Tomassoni, C., primary, Pelliccia, L., additional, Cacciamani, F., additional, Vallerotonda, P., additional, Sorrentino, R., additional, Galdeano, J., additional, and Ernst, C., additional
Published: 2017
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14. A High-Q MEMS-Tunable Cavity in K-band

Author: Pelliccia, L., Cacciamani, F., Farinelli, Paola, Ligander, P., Persson, O., and Sorrentino, Roberto
Published: 2012

15. RESKUE Project: Transportable Reflectarray Antenna for Satellite Ku-band Emergency Communications

Author: Arista, G., Arrebola, M., Barba, M., Brunetti, J., Cacciamani, F., Cappelli, A., Carrasco, E., Centi, R., Coralluzzo, S., Encinar, J. A., Holzbock, M., Lücke, O., Marcaccioli, Luca, Midthassel, R., Montori, S., Pandoli, G., Sorrentino, Roberto, Tienda, C., Toso, G., VINCENTI GATTI, Roberto, and Werner, M.
Published: 2011

16. Design of Ultra-Wideband Filter with Embedded RF-MEMS based Reconfigurable Notched Band

Author: Pelliccia, L., Casini, F., Cacciamani, F., Farinelli, Paola, and Sorrentino, Roberto
Published: 2011

17. High-Q MEMS-tunable waveguide filters in K-band

Author: Pelliccia, L., primary, Cacciamani, F., additional, Sorrentino, R., additional, Farinelli, P., additional, Ligander, P., additional, and Persson, O., additional
Published: 2012
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18. Pancreatic cancer: From molecular signature to target therapy

Author: Longo, R., primary, Cacciamani, F., additional, Naso, G., additional, and Gasparini, G., additional
Published: 2008
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19. Preliminary results of a dose-finding study of PTK787/ZK222584 (PTK/ZK) in combination with weekly vinorelbine (V) and trastuzumab (T) as treatment of patients (pts) with metastatic breast cancer (MBC) overexpressing HER-2/neu, previously treated with at least one line of chemotherapy (CT)

Author: Sarmiento, R., primary, Lonoce, A. V., additional, Salerno, F., additional, Cacciamani, F., additional, D’Andrea, M. R., additional, Torino, F., additional, Lucia, M., additional, Filippelli, G., additional, and Gasparini, G., additional
Published: 2008
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20. Gastrointestinal Stromal Tumors (GISTs): From Science to Targeted Therapy

Author: Sarmiento, R., primary, Bonginelli, P., additional, Cacciamani, F., additional, Salerno, F., additional, and Gasparini, G., additional
Published: 2008
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21. Novel 1-bit elementary cell for reconfigurable reflectarray antennas.

Author: Montori, S., Cacciamani, F., Tomassoni, C., Marcaccioli, L., and Vincenti Gatti, R.
Published: 2011

22. Wideband dual-polarization reconfigurable elementary cell for electronic steerable reflectarray at Ku-band.

Author: Montori, S., Cacciamani, F., Gatti, R. Vincenti, Carrasco, E., Barba, M., Encinar, J., and Sorrentino, R.
Published: 2010

23. Microwave resonating sensors for real time weight monitoring of powdered, granular and liquid samples.

Author: Nocella, V., Pelliccia, L., Fratticcioli, E., Cacciamani, F., and Sorrentino, R.
Published: 2014

24. Novel 1-bit elementary cell for reconfigurable reflectarray antennas

Author: Montori, S., Cacciamani, F., Cristiano TOMASSONI, Marcaccioli, L., and Gatti, R. V.

25. Multi-agent coordination in adversarial environments through signal mediated strategies

Author: Cacciamani, F., ANDREA CELLI, Ciccone, M., and Gatti, N.
Subjects: MULTI AGENT REINFORCEMENT LEARNING, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Artificial Intelligence, TEAM COORDINATION, Multi-Agent Reinforcement Learning, Machine Learning (cs.LG), TEAM GAMES, Artificial Intelligence (cs.AI), Computer Science - Computer Science and Game Theory, Coordination, MULTI AGENT REINFORCEMENT LEARNING, TEAM GAMES, TEAM COORDINATION, Computer Science - Multiagent Systems, Team Games, Multi-Agent Reinforcement Learning, Coordination, Multiagent Systems (cs.MA), Computer Science and Game Theory (cs.GT)
Abstract: Many real-world scenarios involve teams of agents that have to coordinate their actions to reach a shared goal. We focus on the setting in which a team of agents faces an opponent in a zero-sum, imperfect-information game. Team members can coordinate their strategies before the beginning of the game, but are unable to communicate during the playing phase of the game. This is the case, for example, in Bridge, collusion in poker, and collusion in bidding. In this setting, model-free RL methods are oftentimes unable to capture coordination because agents' policies are executed in a decentralized fashion. Our first contribution is a game-theoretic centralized training regimen to effectively perform trajectory sampling so as to foster team coordination. When team members can observe each other actions, we show that this approach provably yields equilibrium strategies. Then, we introduce a signaling-based framework to represent team coordinated strategies given a buffer of past experiences. Each team member's policy is parametrized as a neural network whose output is conditioned on a suitable exogenous signal, drawn from a learned probability distribution. By combining these two elements, we empirically show convergence to coordinated equilibria in cases where previous state-of-the-art multi-agent RL algorithms did not., Accepted at AAMAS 2021 (full paper)

26. The Evolutionary Dynamics of Soft-Max Policy Gradient in Multi-Agent Settings

Author: Bernasconi, M., Cacciamani, F., Simone Fioravanti, Gatti, N., and Trovò, F.

27. Ultra-compact pseudoelliptic waveguide filters using TM dual-mode dielectric resonators

Author: Pelliccia, L., Cacciamani, F., Cristiano TOMASSONI, and Sorrentino, R.
Subjects: Dielectric Resonators, Bandpass filters, waveguide filters, dual-mode filters

28. Glutathione and Glutathione S transferase polymorphisms in the early onset of oxaliplatin neuropathy after adjuvant folfox

Author: Toffoli, G., Giuseppe Toffoli, Cecchin, E., Senigalia, G., Errante, D., Buonadonna, A., Pella, N., Bonura, S., Sandron, S., Salerno, F., Cacciamani, F., Sartor, F., Gavagnin, L., Frustaci, S., and Pasetto, L.

29. Wideband dual-polarization reconfigurable elementary cell for electronic steerable reflectarray at Ku-band

Author: Montori, S., Cacciamani, F., Gatti, R. V., Eduardo Carrasco, Barba, M., Encinar, J., and Sorrentino, R.
Subjects: Computer Networks and Communications, Electrical and Electronic Engineering

30. Skin acrometastases in squamous cell carcinoma of the tongue.

Author: Longo R, Torino F, Castellana M, Amici S, Verì A, Cacciamani F, Gasparini G, and Lanzi G
Published: 2007

31. Associations Between Blood-Based Biomarkers and Cognitive and Functional Trajectories Among Participants of the MEMENTO Cohort.

Author: Grasset L, Bouteloup V, Cacciamani F, Pellegrin I, Planche V, Chêne G, and Dufouil C
Subjects: Humans, Female, Male, tau Proteins, Prospective Studies, Activities of Daily Living, Amyloid beta-Peptides, Biomarkers, Cognition, Alzheimer Disease diagnosis, Alzheimer Disease psychology, Cognitive Dysfunction diagnosis
Abstract: Background and Objectives: Elevated levels of Alzheimer disease (AD) blood-based biomarkers are associated with accelerated cognitive decline. However, their distinct relationships with specific cognitive and functional domains require further investigation. We aimed at estimating the associations between AD blood-based biomarkers and the trajectories of distinct cognitive and functional domains over a 5-year follow-up period., Methods: We conducted a clinic-based prospective study using data from the MEMENTO study, a nationwide French cohort. We selected dementia-free individuals at baseline aged 60 years or older. Baseline measurements of β-amyloid (Aβ) 40 and 42, phosphorylated tau (p-tau181), and neurofilament light chain (NfL) concentrations were obtained using the Simoa HD-X analyzer. Mini-Mental State Examination (MMSE), Free and Cued Selective Reminding Test (FCSRT), animal fluency, Trail Making Tests A and B, Short Physical Performance Battery (SPPB), and Instrumental Activities of Daily Living were administered annually for up to 5 years. We used linear mixed models, adjusted for potential confounders, to model AD biomarkers' relation with cognitive and functional decline., Results: A total of 1,938 participants were included in this study, with a mean (SD) baseline age of 72.8 (6.6) years, and 62% were women. Higher baseline p-tau181 and NfL were associated with significantly faster decline in most cognitive, physical, and functional outcomes (+1 SD p-tau181: β MMSE = -0.055, 95% CI -0.067 to -0.043, β FCSRT = -0.034, 95% CI -0.043 to -0.025, β fluency = -0.029, 95% CI -0.038 to -0.020, β SPPB = -0.040, 95% CI -0.057 to -0.022, and β 4IADL = -0.115, 95% CI 0.091-0.140. +1 SD NfL: β MMSE = -0.039, 95% CI -0.053 to -0.025, β FCSRT = -0.022, 95% CI -0.032 to -0.012, β fluency = -0.014, 95% CI -0.024 to -0.004, and β 4IADL = 0.077, 95% CI 0.048-0.105). A multiplicative association of p-tau181 and NfL with worsening cognitive and functional trajectories was evidenced. Lower Aβ42/40 ratio was only associated with slightly faster cognitive decline in FCSRT and semantic fluency (+1 SD: β = 0.011, 95% CI 0.002-0.020, and β = 0.011, 95% CI 0.003-0.020, respectively). These associations were not modified by APOE ε4, sex, nor education level., Discussion: In a memory clinic sample, p-tau181 and NfL, both independently and jointly, are linked to more pronounced cognitive, physical and functional declines. Blood-based biomarker measurement in AD research may provide useful insights regarding biological processes underlying cognitive, physical, and functional declines in at-risk individuals.
Published: 2024
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32. Anosognosia is associated with increased prevalence and faster development of neuropsychiatric symptoms in mild cognitive impairment.

Author: Wang S, Mimmack K, Cacciamani F, Elnemais Fawzy M, Munro C, Gatchel J, Marshall GA, Gagliardi G, and Vannini P
Abstract: Introduction: Both the loss of awareness for cognitive decline (a. k.a anosognosia) and neuropsychiatric symptoms (NPS) are common in patients with Alzheimer's disease (AD) dementia, even in prodromal stages, and may exacerbate functional impairment and negatively impact caregiver burden. Despite the high impact of these symptoms on patients and their caregivers, our knowledge of how they develop across the AD spectrum is limited. Here, we explored the cross-sectional and longitudinal associations between anosognosia and NPS in individuals with mild cognitive impairment (MCI)., Methods: We included 237 participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) with a baseline clinical diagnosis of MCI. Everyday Cognition (ECog) questionnaire scores were used to measure complaints from participants and study-partners at baseline and annually over a mean of 4.29 years [standard deviation (SD) = 2.72]. Anosognosia was defined as the study-partner having an ECog score ≥2.5/4 and the participant having an ECog score < 2.5/4 on their baseline measure and their last observation without more than two consecutive deviating observations during the follow-up period. The 12-item study-partner-rated Neuropsychiatric Inventory determined the presence or absence of specific NPS. Survival analyses were performed to analyze the frequency and temporal onset of NPS over time in individuals with and without anosognosia., Results: Thirty-eight out of 237 participants displayed anosognosia. Groups had similar lengths of follow-up at baseline ( p > 0.9), though participants with anosognosia had lower MMSE scores ( p = 0.049) and a higher proportion of amyloid-positivity using PET ( p < 0.001. At baseline, the frequencies of agitation ( p = 0.029 ) and disinhibition ( p < 0.001 ) were higher in the anosognosia group compared to the non-anosognosia group. Survival analyses showed earlier onset of seven of the 12 NPS in the anosognosia group (p's < 0.001)., Discussion: Loss of awareness for cognitive decline is associated with greater frequency and earlier onset of NPS over time in participants with MCI. These results support the hypothesis of a potential common underlying neurophysiological process for anosognosia and NPS, a finding that needs to be addressed in future studies., 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 © 2024 Wang, Mimmack, Cacciamani, Elnemais Fawzy, Munro, Gatchel, Marshall, Gagliardi and Vannini.)
Published: 2024
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33. Understanding factors associated with the trajectory of subjective cognitive complaints in groups with similar objective cognitive trajectories.

Author: Cacciamani F, Bercu A, Bouteloup V, Grasset L, Planche V, Chêne G, and Dufouil C
Subjects: Humans, Cognition, Alzheimer Disease diagnosis, Cognitive Dysfunction diagnosis, Cognitive Dysfunction epidemiology
Abstract: Background: Cognitive complaints are often regarded as an early sign of Alzheimer's disease (AD) but may also occur in several other conditions and contexts. This study examines the correlates of cognitive complaint trajectories over a 5-year period in individuals who shared similar objective cognitive trajectories., Methods: We analyzed a subsample (n = 1748) of the MEMENTO cohort, consisting of individuals with subjective cognitive decline or mild cognitive impairment at baseline. Participants were stratified based on their latent MMSE trajectory over a 5-year period: "high and increasing," "subtle decline," and "steep decline." Within each of the three strata, we used a latent-class longitudinal approach to identify distinct trajectories of cognitive complaints. We then used multiple logistic regressions to examine the association between these complaint trajectories and several factors, including AD biomarkers (blood pTau/Aβ42 ratio, cortical thickness, APOE genotype), anxiety, depression, social relationships, a comorbidity-polypharmacy score, and demographic characteristics., Results: Among participants with high and increasing MMSE scores, greater baseline comorbidity-polypharmacy scores (odds ratio (OR) = 1.30, adjusted p = 0.03) were associated with higher odds of moderate and increasing cognitive complaints (as opposed to mild and decreasing complaints). Baseline depression and social relationships also showed significant associations with the complaint pattern but did not survive correction for multiple comparisons. Among participants with subtle decline in MMSE scores, greater baseline depression (OR = 1.76, adjusted p = 0.02) was associated with higher odds of moderate and increasing cognitive complaints (versus mild and decreasing). Similarly, baseline comorbidity-polypharmacy scores and pTau/Aβ 42 ratio exhibited significant associations, but they did not survive correction. Among participants with a steep decline in MMSE scores, greater baseline comorbidity-polypharmacy scores increased the odds of moderate complaints (versus mild, OR = 1.38, unadjusted p = 0.03, adjusted p = 0.32), but this effect did not survive correction for multiple comparisons., Conclusions: Despite similar objective cognitive trajectory, there is heterogeneity in the subjective perception of these cognitive changes. This perception was explained by both AD-related and, more robustly, non-AD-related factors. These findings deepen our understanding of the multifaceted nature of subjective cognitive complaints in individuals at risk for dementia and underscore the importance of considering a range of factors when interpreting cognitive complaints., (© 2023. The Author(s).)
Published: 2023
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34. Differential Patterns of Domain-Specific Cognitive Complaints and Awareness Across the Alzheimer's Disease Spectrum.

Author: Cacciamani F, Godefroy V, Brambati SM, Migliaccio R, Epelbaum S, and Montembeault M
Abstract: Background : Characterizing self- and informant-reported cognitive complaints, as well as awareness of cognitive decline (ACD), is useful for an early diagnosis of Alzheimer's disease (AD). However, complaints and ACD related to cognitive functions other than memory are poorly studied. Furthermore, it remains unclear which source of information is the most useful to distinguish various groups on the AD spectrum. Methods : Self- and informant-reported complaints were measured with the Everyday Cognition questionnaire (ECog-Subject and ECog-StudyPartner) in four domains (memory, language, visuospatial, and executive). ACD was measured as the subject-informant discrepancy in the four ECog scores. We compared the ECog and ACD scores across cognitive domains between four groups: 71 amyloid-positive individuals with amnestic AD, 191 amnestic mild cognitive impairment (MCI), or 118 cognitively normal (CN), and 211 amyloid-negative CN controls, selected from the ADNI database. Receiver operating characteristic curves analysis was performed to evaluate the accuracy of the ECog and ACD scores in discriminating clinical groups. Results : Self- and informant-reported complaints were generally distributed as follows: memory, language, executive, and visuospatial (from the most severe to the least severe). Both groups of CN participants presented on average more memory and language complaints than their informant. MCI participants showed good agreement with their informants. AD participants presented anosognosia in all domains, but especially for the executive domain. The four ECog-StudyPartner sub-scores allowed excellent discrimination between groups in almost all classifications and performed significantly better than the other two classifiers considered. The ACD was excellent in distinguishing the participants with AD from the two groups of CN participants. The ECog-Subject was the least accurate in discriminating groups in four of the six classifications performed. Conclusion : In research, the study of complaint and anosognosia should not be reduced solely to the memory domain. In clinical practice, non-amnestic complaints could also be linked to Alzheimer's disease. The presence of an informant also seems necessary given its accuracy as a source of information., Competing Interests: SE has received honoraria as a speaker or consultant for Eli Lilly, Biogen, Astellas Pharma, Roche, and GE Healthcare. The remaining 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 © 2022 Cacciamani, Godefroy, Brambati, Migliaccio, Epelbaum and Montembeault.)
Published: 2022
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35. Subtle postoperative cognitive disorder in preclinical Alzheimer's disease.

Author: Glasman P, Houot M, Migliaccio R, Bombois S, Gagliardi G, Cacciamani F, Habert MO, Dubois B, and Epelbaum S
Subjects: Aged, Amyloid beta-Peptides metabolism, Brain diagnostic imaging, Brain metabolism, Cognition, Follow-Up Studies, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Positron-Emission Tomography, Alzheimer Disease metabolism, Cognitive Dysfunction etiology, Cognitive Dysfunction metabolism
Abstract: Background: We examined the association between preclinical Alzheimer's disease (AD) and undergoing anesthesia and surgery ("surgery" henceforth) in a cohort of elderly individuals with a subjective cognitive decline (SCD)., Methods: Individuals with SCD (N = 268) were enrolled in a longitudinal follow-up study. Participants underwent comprehensive yearly cognitive evaluation for a period of 4 years. Brain amyloid load and glucose metabolism were studied by 18F-Florbetapir and Fluorodeoxyglucose positron emission tomography (PET) at baseline and after two years of follow-up. Exposure to surgery was systematically assessed during the first two years of follow-up. The association between surgery, cognition and AD markers was evaluated using generalized linear mixed models for cognition and linear models for neuroimaging markers., Results: Sixty-five participants (24.25%) underwent surgery during the first year of follow-up, and 43 (16.04%) during the second year. Undergoing surgery had no overall impact on cognition over 4 years of follow-up nor on amyloid load and brain metabolism at two years of follow-up. However, a second step analysis revealed a small but significant association between undergoing surgery and a subtle decline in executive functions such as mental flexibility and divided attention (TMT B-A), in participants with greater amyloid load at baseline (Cohen's f2 = 0.01, multiple comparison corrected p < 0.001). Highly educated participants with surgery had significantly decreased metabolism over two years, when compared to low educated participants (Cohen's f2 = 0.04, p = 0.031)., Conclusions: Our results suggest that surgery is associated with an increased risk of subtle cognitive decline after surgery, in the cognitively healthy elderly at risk for AD., (Copyright © 2022. Published by Elsevier Inc.)
Published: 2022
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36. The temporal lobe in typical and atypical Alzheimer disease.

Author: Migliaccio R and Cacciamani F
Subjects: Aged, Amyloid beta-Peptides metabolism, Brain pathology, Humans, Memory Disorders, Plaque, Amyloid, Temporal Lobe metabolism, Temporal Lobe pathology, Alzheimer Disease pathology
Abstract: Alzheimer disease (AD) is defined neuropathologically by abnormal extra-cellular β-amyloid plaques combined with intraneuronal tau aggregation. Patients sharing the same neuropathological features but presenting different clinical manifestations and evolutions have led to the notion of AD spectrum. This spectrum encompasses typical and atypical forms of AD. For all of them, specific parts of the temporal lobes, as well as their structural and functional connections with other brain regions, are affected. In typical amnestic late-onset Alzheimer's disease (>65 years old; LOAD), tau pathology gradually spreads to the brain from the medial temporal lobe (MTL). MTL is an inhomogeneous structure consisting of several subregions densely connected to each other and to other cortical and subcortical brain regions. These regions play a crucial role in the storage of information in episodic memory. In less common early-onset AD (<65 years old; EOAD), a large proportion of patients presents atypical clinical manifestations, in which memory impairment is not inaugural and predominant. Instead, these patients have predominant and/or isolated deficits in language, visuospatial, motor, or executive/behavioral functions. In atypical variants, brain damage is mainly centered on the posterior regions, with relative sparing of the MTL. However, the temporal lobe also appears to be variably and specifically damaged in some subtypes of EOAD. For example, the left superior temporal gyrus is the core of brain damage in the language variant, as well as the ventral regions of the temporal lobe play an important role in the clinic of the visual variant., (Copyright © 2022 Elsevier B.V. All rights reserved.)
Published: 2022
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37. Awareness of Cognitive Decline in Patients With Alzheimer's Disease: A Systematic Review and Meta-Analysis.

Author: Cacciamani F, Houot M, Gagliardi G, Dubois B, Sikkes S, Sánchez-Benavides G, Denicolò E, Molinuevo JL, Vannini P, and Epelbaum S
Abstract: Background: Identifying a poor degree of awareness of cognitive decline (ACD) could represent an early indicator of Alzheimer's disease (AD). Objectives: (1) to understand whether there is evidence of poor ACD in the pre-dementia stages of AD; (2) to summarize the main findings obtained investigating ACD in AD; (3) to propose a conceptual framework. Data Sources: We searched Scopus, Pubmed, and the reference lists for studies published up to August 2020. Original research articles must report a measure of ACD and included individuals with AD dementia, or prodromal AD (or MCI), or being at risk for AD. Data Synthesis: All studies covering preclinical, prodromal, and AD dementia were systematically reviewed. We intended to perform a meta-analysis of empirical studies on preclinical AD or prodromal AD (or MCI), to compare ACD between clinical groups. Due to the paucity of literature on preclinical AD, meta-analysis was only possible for prodromal AD (or MCI) studies. Results: We systematically reviewed 283 articles, and conducted a meta-analysis of 18 articles on prodromal AD (or MCI), showing that ACD was not significantly different between patients with amnestic and non-amnestic MCI (SMD = 0.09, p = 0.574); ACD was significantly poorer in amnestic MCI (SMD = -0.56, p = 0.001) and mild AD (SMD = -1.39, p < 0.001) than in controls; ACD was also significantly poorer in mild AD than in amnestic MCI (SMD = -0.75, p < 0.001), as well as poorer than in non-amnestic MCI (SMD = -1.00, p < 0.001). We also discuss key findings on ACD in AD, such as its neural and cognitive correlates. Conclusions and Implications: We propose that patients may be complaining of their initial subtle cognitive changes, but ACD would soon start to decrease. The individual would show mild anosognosia in the MCI stage, and severe anosognosia in dementia. The evaluation of ACD (comparing self-report to cognitive scores or to informant-report) could be useful to guide the clinician toward a timely diagnosis, and in trials targeting early-stage AD., Competing Interests: BD has received consultancy fees from Biogen, Boehringer Ingelheim, Eli Lilly, and MedAvante and grants for his institution from Merck, Pfizer, and Roche. JM has received honoraria, as an educational speaker or consultant from Roche diagnostics, Genentech, Novartis, Lundbeck, Oryzon, Biogen, Lilly, Janssen, Green Valley, MSD, Eisai, Alector and Biocross. SE has received honoraria as a speaker or consultant for Eli Lilly, Biogen, Astellas Pharma, Roche and GE Healthcare. SE reports personal fees from Biogen, Roche, and GE Healthcare, outside the submitted work. The remaining 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 Cacciamani, Houot, Gagliardi, Dubois, Sikkes, Sánchez-Benavides, Denicolò, Molinuevo, Vannini and Epelbaum.)
Published: 2021
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38. Understanding the Variability in Graph Data Sets through Statistical Modeling on the Stiefel Manifold.

Author: Mantoux C, Couvy-Duchesne B, Cacciamani F, Epelbaum S, Durrleman S, and Allassonnière S
Abstract: Network analysis provides a rich framework to model complex phenomena, such as human brain connectivity. It has proven efficient to understand their natural properties and design predictive models. In this paper, we study the variability within groups of networks, i.e., the structure of connection similarities and differences across a set of networks. We propose a statistical framework to model these variations based on manifold-valued latent factors. Each network adjacency matrix is decomposed as a weighted sum of matrix patterns with rank one. Each pattern is described as a random perturbation of a dictionary element. As a hierarchical statistical model, it enables the analysis of heterogeneous populations of adjacency matrices using mixtures. Our framework can also be used to infer the weight of missing edges. We estimate the parameters of the model using an Expectation-Maximization-based algorithm. Experimenting on synthetic data, we show that the algorithm is able to accurately estimate the latent structure in both low and high dimensions. We apply our model on a large data set of functional brain connectivity matrices from the UK Biobank. Our results suggest that the proposed model accurately describes the complex variability in the data set with a small number of degrees of freedom.
Published: 2021
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39. Latent class analysis identifies functional decline with Amsterdam IADL in preclinical Alzheimer's disease.

Author: Villeneuve SC, Houot M, Cacciamani F, Verrijp M, Dubois B, Sikkes S, and Epelbaum S
Abstract: Introduction: Trials in Alzheimer's disease (AD) now include participants at the earliest stages to prevent further decline. However, the lack of tools sensitive to subtle functional changes in early-stage AD hinders the development of new therapies as it is difficult to prove their clinical relevance., Methods: We assessed functional changes over three years in 289 elderly memory complainers from the Investigation of Alzheimer's Predictors in subjective memory complainers cohort using the Amsterdam Instrumental-Activities-of-Daily-Living questionnaire (A-IADL-Q)., Results: No overall functional decline related to AD imaging markers was evidenced. However, five distinct classes of A-IADL-Q trajectories were identified. The largest class (212 [73.4%]) had stable A-IADL-Q scores over 3 years. A second group (23 [8.0%]) showed a persistent functional decline, higher amyloid load ( P = .0005), and lower education ( P = .0392)., Discussion: The A-IADL-Q identified a subtle functional decline in asymptomatic at-risk AD individuals. This could have important implications in the field of early intervention in AD., (© 2019 The Authors.)
Published: 2019
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40. Evidence of practice effect in CANTAB spatial working memory test in a cohort of patients with mild cognitive impairment.

Author: Cacciamani F, Salvadori N, Eusebi P, Lisetti V, Luchetti E, Calabresi P, and Parnetti L
Subjects: Aged, Alzheimer Disease cerebrospinal fluid, Cognitive Dysfunction cerebrospinal fluid, Female, Follow-Up Studies, Humans, Male, Middle Aged, Reproducibility of Results, Alzheimer Disease physiopathology, Cognitive Dysfunction physiopathology, Memory, Short-Term physiology, Neuropsychological Tests standards, Practice, Psychological, Psychomotor Performance physiology, Spatial Memory physiology
Abstract: The Cambridge Neuropsychological Test Automated Battery (CANTAB) is a system of neuropsychological tests frequently used to track the progression of cognitive deficits in mild cognitive impairment (MCI) and Alzheimer's disease (AD). We investigated test-retest reliability in seven CANTAB tests. Twenty-five MCI patients, with either AD-like or conflicting/normal cerebrospinal fluid profiles underwent three testing sessions at 6-month intervals, including the following tests: Reaction Time and Rapid Visual Information Processing (assessing attention and reaction times); Delayed Matching-to-Sample, Paired Associates Learning, Spatial Recognition Memory and Pattern Recognition Memory (assessing memory); Spatial Working Memory (assessing executive functions). No significant difference was found when comparing the two groups. Many CANTAB measures obtained low or marginal test-retest coefficients. We observed a marked improvement in Spatial Working Memory (SWM) in both groups when comparing the baseline performance with the 6-month follow-up, but no difference in performance between 6- and 12-month follow-ups. A similar trend was documented in Paired Associates Learning (PAL), but the effect size was small. Such improvement may result from a practice effect, likely due to the learning of an effective strategy. Our evidence raised an important issue concerning the need for methodological caution when interpreting the results of longitudinal studies using SWM and PAL.
Published: 2018
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41. Cognitive and neuroimaging features and brain β-amyloidosis in individuals at risk of Alzheimer's disease (INSIGHT-preAD): a longitudinal observational study.

Author: Dubois B, Epelbaum S, Nyasse F, Bakardjian H, Gagliardi G, Uspenskaya O, Houot M, Lista S, Cacciamani F, Potier MC, Bertrand A, Lamari F, Benali H, Mangin JF, Colliot O, Genthon R, Habert MO, and Hampel H
Subjects: Aged, Aged, 80 and over, Alzheimer Disease metabolism, Alzheimer Disease pathology, Alzheimer Disease psychology, Brain metabolism, Brain pathology, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Neuroimaging, Neuropsychological Tests, Positron-Emission Tomography, Risk Factors, Alzheimer Disease diagnostic imaging, Amyloid beta-Peptides metabolism, Brain diagnostic imaging, Cognition physiology
Abstract: Background: Improved understanding is needed of risk factors and markers of disease progression in preclinical Alzheimer's disease. We assessed associations between brain β-amyloidosis and various cognitive and neuroimaging parameters with progression of cognitive decline in individuals with preclinical Alzheimer's disease., Methods: The INSIGHT-preAD is an ongoing single-centre observational study at the Salpêtrière Hospital, Paris, France. Eligible participants were age 70-85 years with subjective memory complaints but unimpaired cognition and memory (Mini-Mental State Examination [MMSE] score ≥27, Clinical Dementia Rating score 0, and Free and Cued Selective Reminding Test [FCSRT] total recall score ≥41). We stratified participants by brain amyloid β deposition on 18 F-florbetapir PET (positive or negative) at baseline. All patients underwent baseline assessments of demographic, cognitive, and psychobehavioural, characteristics, APOE ε4 allele carrier status, brain structure and function on MRI, brain glucose-metabolism on 18 F-fluorodeoxyglucose ( 18 F-FDG) PET, and event-related potentials on electroencephalograms (EEGs). Actigraphy and CSF investigations were optional. Participants were followed up with clinical, cognitive, and psychobehavioural assessments every 6 months, neuropsychological assessments, EEG, and actigraphy every 12 months, and MRI, and 18 F-FDG and 18 F-florbetapir PET every 24 months. We assessed associations of amyloid β deposition status with test outcomes at baseline and 24 months, and with clinical status at 30 months. Progression to prodromal Alzheimer's disease was defined as an amnestic syndrome of the hippocampal type., Findings: From May 25, 2013, to Jan 20, 2015, we enrolled 318 participants with a mean age of 76·0 years (SD 3·5). The mean baseline MMSE score was 28·67 (SD 0·96), and the mean level of education was high (score >6 [SD 2] on a scale of 1-8, where 1=infant school and 8=higher education). 88 (28%) of 318 participants showed amyloid β deposition and the remainder did not. The amyloid β subgroups did not differ for any psychobehavioural, cognitive, actigraphy, and structural and functional neuroimaging results after adjustment for age, sex, and level of education More participants positive for amyloid β deposition had the APOE ε4 allele (33 [38%] vs 29 [13%], p<0·0001). Amyloid β 1-42 concentration in CSF significantly correlated with mean 18 F-florbetapir uptake at baseline (r=-0·62, p<0·0001) and the ratio of amyloid β 1-42 to amyloid β 1-40 (r=-0·61, p<0·0001), and identified amyloid β deposition status with high accuracy (mean area under the curve values 0·89, 95% CI 0·80-0·98 and 0·84, 0·72-0·96, respectively). No difference was seen in MMSE (28·3 [SD 2·0] vs 28·9 [1·2], p=0·16) and Clinical Dementia Rating scores (0·06 [0·2] vs 0·05 [0·3]; p=0·79) at 30 months (n=274) between participants positive or negative for amyloid β. Four participants (all positive for amyloid β deposition at baseline) progressed to prodromal Alzheimer's disease. They were older than other participants positive for amyloid β deposition at baseline (mean 80·2 years [SD 4·1] vs 76·8 years [SD 3·4]) and had greater 18 F-florbetapir uptake at baseline (mean standard uptake value ratio 1·46 [SD 0·16] vs 1·02 [SD 0·20]), and more were carriers of the APOE ε4 allele (three [75%] of four vs 33 [39%] of 83). They also had mild executive dysfunction at baseline (mean FCSRT free recall score 21·25 [SD 2·75] vs 29·08 [5·44] and Frontal Assessment Battery total score 13·25 [1·50] vs 16·05 [1·68])., Interpretation: Brain β-amyloidosis alone did not predict progression to prodromal Alzheimer's disease within 30 months. Longer follow-up is needed to establish whether this finding remains consistent., Funding: Institut Hospitalo-Universitaire and Institut du Cerveau et de la Moelle Epinière (IHU-A-ICM), Ministry of Research, Fondation Plan Alzheimer, Pfizer, and Avid., (Copyright © 2018 Elsevier Ltd. All rights reserved.)
Published: 2018
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42. Low Cognitive Awareness, but Not Complaint, is a Good Marker of Preclinical Alzheimer's Disease.

Author: Cacciamani F, Tandetnik C, Gagliardi G, Bertin H, Habert MO, Hampel H, Boukadida L, Révillon M, Epelbaum S, and Dubois B
Subjects: Aged, Aged, 80 and over, Alzheimer Disease diagnostic imaging, Analysis of Variance, Aniline Compounds metabolism, Brain diagnostic imaging, Brain Mapping, Cognitive Dysfunction diagnostic imaging, Ethylene Glycols metabolism, Female, Functional Laterality, Humans, Male, Neuropsychological Tests, Positron-Emission Tomography, Psychiatric Status Rating Scales, Surveys and Questionnaires, Alzheimer Disease diagnosis, Alzheimer Disease etiology, Awareness, Cognitive Dysfunction complications, Cognitive Dysfunction psychology
Abstract: Background: Subjective cognitive decline (SCD) may result from many conditions, including Alzheimer's disease (AD)., Objective: In this study, we searched for a specific pattern of SCD in asymptomatic individuals at risk for AD., Methods: Cognitively normal older adults (N = 318) reporting SCD and their informants were enrolled in the INSIGHT-PreAD cohort. We examined the relationship between six SCD measures and both cognitive scores and AD neuroimaging markers (amyloid burden, hippocampal atrophy and brain hypometabolism). An awareness of cognitive decline index (ACDI) has been introduced based on the subject-informant discrepancy in a questionnaire of SCD and participants with low versus high awareness were compared., Results: Scores in the INSIGHT-PreAD SCD questionnaires did not correlate with AD neuroimaging markers. As well, no correlation has been found between SCD measures and cognitive scores. Comparing subjects with a low (n = 19) and high (n = 86) level of awareness, no significant difference in terms of demography, neuropsychiatric symptoms, autonomy, quality of life, cognition, and hippocampal volume was found. However, the "low awareness" group showed greater amyloid burden and lower cortical metabolism, compared to the "high awareness" group., Conclusion: This study provided additional evidence that reporting SCD by itself is not a specific symptom of preclinical AD. Conversely, a low cognitive awareness (namely, when subjects report fewer difficulties than their relatives do) may represent a very early form of anosognosia and serve as a specific indicator of preclinical AD. This finding is of key importance as an enrichment factor to consider in both clinical practice and research trials.
Published: 2017
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43. Antiangiogenic therapies in breast cancer.

Author: Sarmiento R, D'Andrea MR, Cacciamani F, Salerno F, and Gasparini G
Subjects: Animals, Antineoplastic Agents pharmacology, Antineoplastic Agents therapeutic use, Breast Neoplasms blood supply, Breast Neoplasms diagnosis, Chemotherapy, Adjuvant methods, Clinical Trials as Topic, Disease Progression, Female, Humans, Neoadjuvant Therapy methods, Prognosis, Angiogenesis Inhibitors therapeutic use, Breast Neoplasms drug therapy, Neovascularization, Pathologic drug therapy
Abstract: Angiogenesis is a complex, multistep process that is involved in the progression and prognosis of several types of cancer. In particular, it has been demonstrated that angiogenesis plays a central role in the progression of breast cancer. This review evaluates results from clinical trials in which the efficacy of conventional chemotherapeutic agents was compared with that of novel antiangiogenic compounds for the treatment of breast cancer, and provides a summary of trials that were ongoing at the time of publication in the neoadjuvant and adjuvant settings.
Published: 2009

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