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Koubiyr I, Yamamoto T, Blyau S, Kamroui RA, Mansencal B, Planche V, Petit L, Saranathan M, Casey R, Ruet A, Brochet B, Manjón JV, Dousset V, Coupé P, Tourdias T. Vulnerability of Thalamic Nuclei at CSF Interface During the Entire Course of Multiple Sclerosis. Neurol Neuroimmunol Neuroinflamm 2024; 11:e200222. [PMID: 38635941 DOI: 10.1212/nxi.0000000000200222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
BACKGROUND AND OBJECTIVES Thalamic atrophy can be used as a proxy for neurodegeneration in multiple sclerosis (MS). Some data point toward thalamic nuclei that could be affected more than others. However, the dynamic of their changes during MS evolution and the mechanisms driving their differential alterations are still uncertain. METHODS We paired a large cohort of 1,123 patients with MS with the same number of healthy controls, all scanned with conventional 3D-T1 MRI. To highlight the main atrophic regions at the thalamic nuclei level, we validated a segmentation strategy consisting of deep learning-based synthesis of sequences, which were used for automatic multiatlas segmentation. Then, through a lifespan-based approach, we could model the dynamics of the 4 main thalamic nuclei groups. RESULTS All analyses converged toward a higher rate of atrophy for the posterior and medial groups compared with the anterior and lateral groups. We also demonstrated that focal MS white matter lesions were associated with atrophy of groups of nuclei when specifically located within the associated thalamocortical projections. The volumes of the most affected posterior group, but also of the anterior group, were better associated with clinical disability than the volume of the whole thalamus. DISCUSSION These findings point toward the thalamic nuclei adjacent to the third ventricle as more susceptible to neurodegeneration during the entire course of MS through potentiation of disconnection effects by regional factors. Because this information can be obtained even from standard T1-weighted MRI, this paves the way toward such an approach for future monitoring of patients with MS.
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Affiliation(s)
- Ismail Koubiyr
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Takayuki Yamamoto
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Simon Blyau
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Reda A Kamroui
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Boris Mansencal
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Vincent Planche
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Laurent Petit
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Manojkumar Saranathan
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Romain Casey
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Aurélie Ruet
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Bruno Brochet
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - José V Manjón
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Vincent Dousset
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Pierrick Coupé
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Thomas Tourdias
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
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Grasset L, Bouteloup V, Cacciamani F, Pellegrin I, Planche V, Chêne G, Dufouil C. Associations Between Blood-Based Biomarkers and Cognitive and Functional Trajectories Among Participants of the MEMENTO Cohort. Neurology 2024; 102:e209307. [PMID: 38626384 DOI: 10.1212/wnl.0000000000209307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/18/2024] Open
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: βMMSE = -0.055, 95% CI -0.067 to -0.043, βFCSRT = -0.034, 95% CI -0.043 to -0.025, βfluency = -0.029, 95% CI -0.038 to -0.020, βSPPB = -0.040, 95% CI -0.057 to -0.022, and β4IADL = -0.115, 95% CI 0.091-0.140. +1 SD NfL: βMMSE = -0.039, 95% CI -0.053 to -0.025, βFCSRT = -0.022, 95% CI -0.032 to -0.012, βfluency = -0.014, 95% CI -0.024 to -0.004, and β4IADL = 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.
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Affiliation(s)
- Leslie Grasset
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
| | - Vincent Bouteloup
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
| | - Federica Cacciamani
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
| | - Isabelle Pellegrin
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
| | - Vincent Planche
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
| | - Geneviève Chêne
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
| | - Carole Dufouil
- From the UMR 1219 (L.G., V.B., F.C., G.C., C.D.), Bordeaux Population Health Center, University of Bordeaux, Inserm; CIC 1401-EC (L.G., V.B., F.C., G.C., C.D.), Inserm, University of Bordeaux, CHU de Bordeaux; Centre Hospitalier Universitaire (CHU) de Bordeaux (V.B., G.C., C.D.), Pole de sante publique; ARAMISLab (F.C.), Sorbonne Université, Institut du Cerveau-Paris Brain Institute-ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière; Qairnel SAS (F.C.), Paris; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164; and Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France
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Bouteloup V, Pellegrin I, Dubois B, Chene G, Planche V, Dufouil C. Explaining the Variability of Alzheimer Disease Fluid Biomarker Concentrations in Memory Clinic Patients Without Dementia. Neurology 2024; 102:e209219. [PMID: 38527237 DOI: 10.1212/wnl.0000000000209219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 01/02/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Patients' comorbidities can affect Alzheimer disease (AD) blood biomarker concentrations. Because a limited number of factors have been explored to date, our aim was to assess the proportion of the variance in fluid biomarker levels explained by the clinical features of AD and by a large number of non-AD-related factors. METHODS MEMENTO enrolled 2,323 individuals with cognitive complaints or mild cognitive impairment in 26 French memory clinics. Baseline evaluation included clinical and neuropsychological assessments, brain MRI, amyloid-PET, CSF (optional), and blood sampling. Blood biomarker levels were determined using the Simoa-HDX analyzer. We performed linear regression analysis of the clinical features of AD (cognition, AD genetic risk score, and brain atrophy) to model biomarker concentrations. Next, we added covariates among routine biological tests, inflammatory markers, demographic and behavioral determinants, treatments, comorbidities, and preanalytical sample handling in final models using both stepwise selection processes and least absolute shrinkage and selection operator (LASSO). RESULTS In total, 2,257 participants were included in the analysis (median age 71.7, 61.8% women, 55.2% with high educational levels). For blood biomarkers, the proportion of variance explained by clinical features of AD was 13.7% for neurofilaments (NfL), 11.4% for p181-tau, 3.0% for Aβ-42/40, and 1.4% for total-tau. In final models accounting for non-AD-related factors, the variance was mainly explained by age, routine biological tests, inflammatory markers, and preanalytical sample handling. In CSF, the proportion of variance explained by clinical features of AD was 24.8% for NfL, 22.3% for Aβ-42/40, 19.8% for total-tau, and 17.2% for p181-tau. In contrast to blood biomarkers, the largest proportion of variance was explained by cognition after adjustment for covariates. The covariates that explained the largest proportion of variance were also the most frequently selected with LASSO. The performance of blood biomarkers for predicting A+ and T+ status (PET or CSF) remained unchanged after controlling for drivers of variance. DISCUSSION This comprehensive analysis demonstrated that the variance in AD blood biomarker concentrations was mainly explained by age, with minor contributions from cognition, brain atrophy, and genetics, conversely to CSF measures. These results challenge the use of blood biomarkers as isolated stand-alone biomarkers for AD.
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Affiliation(s)
- Vincent Bouteloup
- From the Univ. Bordeaux (V.B., G.C., C.D.), Inserm, Bordeaux Population Health, UMR1219, Bordeaux; CIC 1401 EC (V.B., G.C., C.D.), Pôle Santé Publique, CHU de Bordeaux; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164, Bordeaux; Alzheimer Research Center IM2A (B.D.), Salpêtrière Hospital, AP-HP, Sorbonne University, Paris; Univ. Bordeaux (V.P.), CNRS, Institut des Maladies Neuroégénératives, UMR 5293, Bordeaux; Pôle de Neurosciences Cliniques (V.P.), Centre Mémoire de Ressources et de Recherche, CHU Bordeaux, France
| | - Isabelle Pellegrin
- From the Univ. Bordeaux (V.B., G.C., C.D.), Inserm, Bordeaux Population Health, UMR1219, Bordeaux; CIC 1401 EC (V.B., G.C., C.D.), Pôle Santé Publique, CHU de Bordeaux; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164, Bordeaux; Alzheimer Research Center IM2A (B.D.), Salpêtrière Hospital, AP-HP, Sorbonne University, Paris; Univ. Bordeaux (V.P.), CNRS, Institut des Maladies Neuroégénératives, UMR 5293, Bordeaux; Pôle de Neurosciences Cliniques (V.P.), Centre Mémoire de Ressources et de Recherche, CHU Bordeaux, France
| | - Bruno Dubois
- From the Univ. Bordeaux (V.B., G.C., C.D.), Inserm, Bordeaux Population Health, UMR1219, Bordeaux; CIC 1401 EC (V.B., G.C., C.D.), Pôle Santé Publique, CHU de Bordeaux; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164, Bordeaux; Alzheimer Research Center IM2A (B.D.), Salpêtrière Hospital, AP-HP, Sorbonne University, Paris; Univ. Bordeaux (V.P.), CNRS, Institut des Maladies Neuroégénératives, UMR 5293, Bordeaux; Pôle de Neurosciences Cliniques (V.P.), Centre Mémoire de Ressources et de Recherche, CHU Bordeaux, France
| | - Genevieve Chene
- From the Univ. Bordeaux (V.B., G.C., C.D.), Inserm, Bordeaux Population Health, UMR1219, Bordeaux; CIC 1401 EC (V.B., G.C., C.D.), Pôle Santé Publique, CHU de Bordeaux; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164, Bordeaux; Alzheimer Research Center IM2A (B.D.), Salpêtrière Hospital, AP-HP, Sorbonne University, Paris; Univ. Bordeaux (V.P.), CNRS, Institut des Maladies Neuroégénératives, UMR 5293, Bordeaux; Pôle de Neurosciences Cliniques (V.P.), Centre Mémoire de Ressources et de Recherche, CHU Bordeaux, France
| | - Vincent Planche
- From the Univ. Bordeaux (V.B., G.C., C.D.), Inserm, Bordeaux Population Health, UMR1219, Bordeaux; CIC 1401 EC (V.B., G.C., C.D.), Pôle Santé Publique, CHU de Bordeaux; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164, Bordeaux; Alzheimer Research Center IM2A (B.D.), Salpêtrière Hospital, AP-HP, Sorbonne University, Paris; Univ. Bordeaux (V.P.), CNRS, Institut des Maladies Neuroégénératives, UMR 5293, Bordeaux; Pôle de Neurosciences Cliniques (V.P.), Centre Mémoire de Ressources et de Recherche, CHU Bordeaux, France
| | - Carole Dufouil
- From the Univ. Bordeaux (V.B., G.C., C.D.), Inserm, Bordeaux Population Health, UMR1219, Bordeaux; CIC 1401 EC (V.B., G.C., C.D.), Pôle Santé Publique, CHU de Bordeaux; Laboratory of Immunology and Immunogenetics (I.P.), Resources Biological Center (CRB), CHU Bordeaux; Univ. Bordeaux (I.P.), CNRS, ImmunoConcEpT, UMR 5164, Bordeaux; Alzheimer Research Center IM2A (B.D.), Salpêtrière Hospital, AP-HP, Sorbonne University, Paris; Univ. Bordeaux (V.P.), CNRS, Institut des Maladies Neuroégénératives, UMR 5293, Bordeaux; Pôle de Neurosciences Cliniques (V.P.), Centre Mémoire de Ressources et de Recherche, CHU Bordeaux, France
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Darricau M, Dou C, Kinet R, Zhu T, Zhou L, Li X, Bedel A, Claverol S, Tokarski C, Katsinelos T, McEwan WA, Zhang L, Gao R, Bourdenx M, Dehay B, Qin C, Bezard E, Planche V. Tau seeds from Alzheimer's disease brains trigger tau spread in macaques while oligomeric-Aβ mediates pathology maturation. Alzheimers Dement 2024; 20:1894-1912. [PMID: 38148705 PMCID: PMC10984505 DOI: 10.1002/alz.13604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 12/28/2023]
Abstract
INTRODUCTION The "prion-like" features of Alzheimer's disease (AD) tauopathy and its relationship with amyloid-β (Aβ) have never been experimentally studied in primates phylogenetically close to humans. METHODS We injected 17 macaques in the entorhinal cortex with nanograms of seeding-competent tau aggregates purified from AD brains or control extracts from aged-matched healthy brains, with or without intracerebroventricular co-injections of oligomeric-Aβ. RESULTS Pathological tau injection increased cerebrospinal fluid (CSF) p-tau181 concentration after 18 months. Tau pathology spreads from the entorhinal cortex to the hippocampal trisynaptic loop and the cingulate cortex, resuming the experimental progression of Braak stage I to IV. Many AD-related molecular networks were impacted by tau seeds injections regardless of Aβ injections in proteomic analyses. However, we found mature neurofibrillary tangles, increased CSF total-tau concentration, and pre- and postsynaptic degeneration only in Aβ co-injected macaques. DISCUSSION Oligomeric-Aβ mediates the maturation of tau pathology and its neuronal toxicity in macaques but not its initial spreading. HIGHLIGHTS This study supports the "prion-like" properties of misfolded tau extracted from AD brains. This study empirically validates the Braak staging in an anthropomorphic brain. This study highlights the role of oligomeric Aβ in driving the maturation and toxicity of tau pathology. This work establishes a novel animal model of early sporadic AD that is closer to the human pathology.
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Affiliation(s)
- Morgane Darricau
- Univ. Bordeaux, CNRSInstitut des Maladies NeurodégénérativesBordeauxFrance
| | - Changsong Dou
- NHC Key Laboratory of Human Disease Comparative MedicineBeijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesNational Center for Technology and Innovation of Animal ModelInstitute of Laboratory Animal SciencesChinese Academy of Medical Sciences (CAMS)BeijingP.R. China
| | - Remi Kinet
- Univ. Bordeaux, CNRSInstitut des Maladies NeurodégénérativesBordeauxFrance
| | - Tao Zhu
- NHC Key Laboratory of Human Disease Comparative MedicineBeijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesNational Center for Technology and Innovation of Animal ModelInstitute of Laboratory Animal SciencesChinese Academy of Medical Sciences (CAMS)BeijingP.R. China
| | - Li Zhou
- NHC Key Laboratory of Human Disease Comparative MedicineBeijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesNational Center for Technology and Innovation of Animal ModelInstitute of Laboratory Animal SciencesChinese Academy of Medical Sciences (CAMS)BeijingP.R. China
| | - Xianglei Li
- NHC Key Laboratory of Human Disease Comparative MedicineBeijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesNational Center for Technology and Innovation of Animal ModelInstitute of Laboratory Animal SciencesChinese Academy of Medical Sciences (CAMS)BeijingP.R. China
| | - Aurélie Bedel
- CHU de BordeauxService de biochimie, BordeauxUniv. BordeauxBordeauxFrance
| | | | | | - Taxiarchis Katsinelos
- UK Dementia Research InstituteDepartment of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | - William A. McEwan
- UK Dementia Research InstituteDepartment of Clinical NeurosciencesUniversity of CambridgeCambridgeUK
| | - Ling Zhang
- NHC Key Laboratory of Human Disease Comparative MedicineBeijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesNational Center for Technology and Innovation of Animal ModelInstitute of Laboratory Animal SciencesChinese Academy of Medical Sciences (CAMS)BeijingP.R. China
| | - Ran Gao
- NHC Key Laboratory of Human Disease Comparative MedicineBeijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesNational Center for Technology and Innovation of Animal ModelInstitute of Laboratory Animal SciencesChinese Academy of Medical Sciences (CAMS)BeijingP.R. China
| | - Mathieu Bourdenx
- UK Dementia Research InstituteUCL Queen Square Institute of NeurologyLondonUK
| | - Benjamin Dehay
- Univ. Bordeaux, CNRSInstitut des Maladies NeurodégénérativesBordeauxFrance
| | - Chuan Qin
- NHC Key Laboratory of Human Disease Comparative MedicineBeijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesNational Center for Technology and Innovation of Animal ModelInstitute of Laboratory Animal SciencesChinese Academy of Medical Sciences (CAMS)BeijingP.R. China
- Changping National laboratory (CPNL)BeijingChina
| | - Erwan Bezard
- Univ. Bordeaux, CNRSInstitut des Maladies NeurodégénérativesBordeauxFrance
- Motac NeuroscienceFloiracFrance
| | - Vincent Planche
- Univ. Bordeaux, CNRSInstitut des Maladies NeurodégénérativesBordeauxFrance
- CHU de Bordeaux, Pôle de Neurosciences CliniquesCentre Mémoire de Ressources et de RechercheBordeauxFrance
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Planche V, Mansencal B, Manjon JV, Meissner WG, Tourdias T, Coupé P. Staging of progressive supranuclear palsy-Richardson syndrome using MRI brain charts for the human lifespan. Brain Commun 2024; 6:fcae055. [PMID: 38444913 PMCID: PMC10914441 DOI: 10.1093/braincomms/fcae055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/22/2023] [Accepted: 02/19/2024] [Indexed: 03/07/2024] Open
Abstract
Brain charts for the human lifespan have been recently proposed to build dynamic models of brain anatomy in normal aging and various neurological conditions. They offer new possibilities to quantify neuroanatomical changes from preclinical stages to death, where longitudinal MRI data are not available. In this study, we used brain charts to model the progression of brain atrophy in progressive supranuclear palsy-Richardson syndrome. We combined multiple datasets (n = 8170 quality controlled MRI of healthy subjects from 22 cohorts covering the entire lifespan, and n = 62 MRI of progressive supranuclear palsy-Richardson syndrome patients from the Four Repeat Tauopathy Neuroimaging Initiative (4RTNI)) to extrapolate lifetime volumetric models of healthy and progressive supranuclear palsy-Richardson syndrome brain structures. We then mapped in time and space the sequential divergence between healthy and progressive supranuclear palsy-Richardson syndrome charts. We found six major consecutive stages of atrophy progression: (i) ventral diencephalon (including subthalamic nuclei, substantia nigra, and red nuclei), (ii) pallidum, (iii) brainstem, striatum and amygdala, (iv) thalamus, (v) frontal lobe, and (vi) occipital lobe. The three structures with the most severe atrophy over time were the thalamus, followed by the pallidum and the brainstem. These results match the neuropathological staging of tauopathy progression in progressive supranuclear palsy-Richardson syndrome, where the pathology is supposed to start in the pallido-nigro-luysian system and spreads rostrally via the striatum and the amygdala to the cerebral cortex, and caudally to the brainstem. This study supports the use of brain charts for the human lifespan to study the progression of neurodegenerative diseases, especially in the absence of specific biomarkers as in PSP.
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Affiliation(s)
- Vincent Planche
- Institut des Maladies Neurodégénératives, Univ. Bordeaux, CNRS, UMR 5293, F-33000 Bordeaux, France
- Centre Mémoire Ressources Recherches, Service de Neurologie des Maladies Neurodégénératives, Pôle de Neurosciences Cliniques, CHU de Bordeaux, F-33000 Bordeaux, France
| | - Boris Mansencal
- CNRS, Univ. Bordeaux, Bordeaux INP, Laboratoire Bordelais de Recherche en Informatique (LABRI), UMR5800, F-33400 Talence, France
| | - Jose V Manjon
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain
| | - Wassilios G Meissner
- Institut des Maladies Neurodégénératives, Univ. Bordeaux, CNRS, UMR 5293, F-33000 Bordeaux, France
- Service de Neurologie des Maladies Neurodégénératives, Réseau NS-Park/FCRIN, CHU Bordeaux, F-33000, Bordeaux, France
- Department of Medicine, Christchurch, and New Zealand Brain Research Institute, Christchurch, 8011, New Zealand
| | - Thomas Tourdias
- Inserm U1215-Neurocentre Magendie, Bordeaux F-33000, France
- Service de Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, F-33000 Bordeaux, France
| | - Pierrick Coupé
- CNRS, Univ. Bordeaux, Bordeaux INP, Laboratoire Bordelais de Recherche en Informatique (LABRI), UMR5800, F-33400 Talence, France
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6
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Nicolas G, Zaréa A, Lacour M, Quenez O, Rousseau S, Richard AC, Bonnevalle A, Schramm C, Olaso R, Sandron F, Boland A, Deleuze JF, Andriuta D, Anthony P, Auriacombe S, Balageas AC, Ballan G, Barbay M, Béjot Y, Belliard S, Benaiteau M, Bennys K, Bombois S, Boutoleau-Bretonnière C, Branger P, Carlier J, Cartz-Piver L, Cassagnaud P, Ceccaldi MP, Chauviré V, Chen Y, Cogez J, Cognat E, Contegal-Callier F, Corneille L, Couratier P, Cretin B, Crinquette C, Dauriat B, Dautricourt S, de la Sayette V, de Liège A, Deffond D, Demurger F, Deramecourt V, Derollez C, Dionet E, Doco Fenzy M, Dumurgier J, Dutray A, Etcharry-Bouyx F, Formaglio M, Gabelle A, Gainche-Salmon A, Godefroy O, Graber M, Gregoire C, Grimaldi S, Gueniat J, Gueriot C, Guillet-Pichon V, Haffen S, Hanta CR, Hardy C, Hautecloque G, Heitz C, Hourregue C, Jonveaux T, Jurici S, Koric L, Krolak-Salmon P, Lagarde J, Lanoiselée HM, Laurens B, Le Ber I, Le Guyader G, Leblanc A, Lebouvier T, Levy R, Lippi A, Mackowiak MA, Magnin E, Marelli C, Martinaud O, Maureille A, Migliaccio R, Milongo-Rigal E, Mohr S, Mollion H, Morin A, Nivelle J, Noiray C, Olivieri P, Paquet C, Pariente J, Pasquier F, Perron A, Philippi N, Planche V, Pouclet-Courtemanche H, Rafiq M, Rollin-Sillaire A, Roué-Jagot C, Saracino D, Sarazin M, Sauvée M, Sellal F, Teichmann M, Thauvin C, Thomas Q, Tisserand C, Turpinat C, Van Damme L, Vercruysse O, Villain N, Wagemann N, Charbonnier C, Wallon D. Assessment of Mendelian and risk-factor genes in Alzheimer disease: A prospective nationwide clinical utility study and recommendations for genetic screening. Genet Med 2024; 26:101082. [PMID: 38281098 DOI: 10.1016/j.gim.2024.101082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 01/17/2024] [Accepted: 01/19/2024] [Indexed: 01/29/2024] Open
Abstract
PURPOSE To assess the likely pathogenic/pathogenic (LP/P) variants rates in Mendelian dementia genes and the moderate-to-strong risk factors rates in patients with Alzheimer disease (AD). METHODS We included 700 patients in a prospective study and performed exome sequencing. A panel of 28 Mendelian and 6 risk-factor genes was interpreted and returned to patients. We built a framework for risk variant interpretation and risk gradation and assessed the detection rates among early-onset AD (EOAD, age of onset (AOO) ≤65 years, n = 608) depending on AOO and pedigree structure and late-onset AD (66 < AOO < 75, n = 92). RESULTS Twenty-one patients carried a LP/P variant in a Mendelian gene (all with EOAD, 3.4%), 20 of 21 affected APP, PSEN1, or PSEN2. LP/P variant detection rates in EOAD ranged from 1.7% to 11.6% based on AOO and pedigree structure. Risk factors were found in 69.5% of the remaining 679 patients, including 83 (12.2%) being heterozygotes for rare risk variants, in decreasing order of frequency, in TREM2, ABCA7, ATP8B4, SORL1, and ABCA1, including 5 heterozygotes for multiple rare risk variants, suggesting non-monogenic inheritance, even in some autosomal-dominant-like pedigrees. CONCLUSION We suggest that genetic screening should be proposed to all EOAD patients and should no longer be prioritized based on pedigree structure.
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Affiliation(s)
- Gaël Nicolas
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France.
| | - Aline Zaréa
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Neurology and CNRMAJ, F-76000 Rouen, France
| | - Morgane Lacour
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Neurology and CNRMAJ, F-76000 Rouen, France
| | - Olivier Quenez
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France
| | - Stéphane Rousseau
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France
| | - Anne-Claire Richard
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France
| | - Antoine Bonnevalle
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France; Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Neurology and CNRMAJ, F-76000 Rouen, France
| | - Catherine Schramm
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Genetics and CNRMAJ, F-76000 Rouen, France
| | - Robert Olaso
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Evry, France
| | - Florian Sandron
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Evry, France
| | - Anne Boland
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Evry, France
| | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Evry, France
| | - Daniela Andriuta
- Service de Neurologie CHU Amiens et Laboratoire de Neurosciences Fonctionnelles et Pathologies, Université de Picardie Jules Verne, Amiens, France
| | - Pierre Anthony
- Department of Neurology, Hôpitaux Civils de Colmar, F-68000 Colmar, France
| | - Sophie Auriacombe
- Univ. Bordeaux, CNRS UMR 5293, Institut des Maladies Neurodégénératives, Bordeaux, France
| | | | | | - Mélanie Barbay
- Service de Neurologie CHU Amiens et Laboratoire de Neurosciences Fonctionnelles et Pathologies, Université de Picardie Jules Verne, Amiens, France
| | - Yannick Béjot
- Department of Neurology, University Hospital of Dijon, University of Burgundy, Dijon, France
| | - Serge Belliard
- Unité de recherche 1077 INSERM-EPHE-UNICAEN Neuropsychologie & Imagerie de la Mémoire Humaine (NIMH), Caen, France; Centre Mémoire Ressources et Recherche Haute Bretagne, CHU Rennes, Rennes, France
| | - Marie Benaiteau
- Neurology Department, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Karim Bennys
- Memory Ressources Research Center, Department of Neurology, University Hospital of Montpellier, Montpellier, France
| | - Stéphanie Bombois
- Sorbonne Université, INSERM U1127, CNRS 7235, Institut du Cerveau - ICM, Paris, France; AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | | | - Pierre Branger
- Department of Neurology, Caen University Hospital, Caen, France
| | - Jasmine Carlier
- Neurology Department, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Leslie Cartz-Piver
- Memory Ressources Research Center, Department of Neurology, University Hospital of Limoges, France Inserm U1094, IRD U270, EPIMACT, Université of Limoges, Limoges, France
| | | | - Mathieu-Pierre Ceccaldi
- Institute of Neurophysiopathology UMR 7051 Aix Marseille Université & Assistance Publique de Marseille, Marseille, France
| | - Valérie Chauviré
- CMRR, CRMR Neurogénétique, Service de Neurologie, CHU d'ANGERS, Angers, France
| | - Yaohua Chen
- Univ Lille, CHU Lille, Inserm 1172, Memory center, CNRMAJ, LiCEND, Labex DistAlz 59000 Lille, France
| | - Julien Cogez
- Department of Neurology, Caen University Hospital, Caen, France
| | - Emmanuel Cognat
- Cognitive Neurology Center, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France; Université Paris Cité, UMR-S 1144, INSERM, Paris, France
| | | | - Léa Corneille
- Institute of Neurophysiopathology UMR 7051 Aix Marseille Université & Assistance Publique de Marseille, Marseille, France
| | | | - Benjamin Cretin
- CMRR d'Alsace, Service de Neurologie, CHU Strasbourg, Strasbourg, France
| | | | - Benjamin Dauriat
- Service de Génétique Médicale, Hopital Mère-Enfant, CHU Limoges, Limoges, France
| | - Sophie Dautricourt
- CMRR Lyon, Department of Neurology, University Hospital of Lyon, Hospices Civils de Lyon, Lyon, France
| | - Vincent de la Sayette
- Department of Neurology, Caen University Hospital, Caen, France; Normandie UNIV, UNICAEN, PSL Research University, EPHE, INSERM, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France
| | - Astrid de Liège
- Service de Neurologie, APHP, Hôpital Avicenne, Université Sorbonne Paris Nord, Bobigny, France
| | - Didier Deffond
- CMRR Clermont-Ferrand, Service de Neurologie, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | | | - Vincent Deramecourt
- Univ Lille, CHU Lille, Inserm 1172, Memory center, CNRMAJ, LiCEND, Labex DistAlz 59000 Lille, France
| | | | - Elsa Dionet
- CMRR Clermont-Ferrand, Service de Neurologie, CHU Clermont-Ferrand, Clermont-Ferrand, France
| | - Martine Doco Fenzy
- Nantes Université, CHU Nantes, CNRS, INSERM, l'institut du thorax, Nantes, France; CHU Nantes, Service de Génétique, Nantes, France; CHU Reims, Service de Génétique, Reims, France
| | - Julien Dumurgier
- Cognitive Neurology Center, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France; Université Paris Cité, UMR-S 1144, INSERM, Paris, France
| | - Anaïs Dutray
- Service de Neurologie, Centre Hospitalier Perpignan, Perpignan, France
| | | | - Maïté Formaglio
- CMRR Lyon, Department of Neurology, University Hospital of Lyon, Hospices Civils de Lyon, Lyon, France
| | - Audrey Gabelle
- Memory Ressources Research Center, Department of Neurology, University Hospital of Montpellier, Montpellier, France
| | - Anne Gainche-Salmon
- Centre Mémoire Ressources et Recherche Haute Bretagne, CHU Rennes, Rennes, France
| | - Olivier Godefroy
- Service de Neurologie CHU Amiens et Laboratoire de Neurosciences Fonctionnelles et Pathologies, Université de Picardie Jules Verne, Amiens, France
| | - Mathilde Graber
- Centre mémoire ressources et recherche, CHU Dijon, Dijon, France
| | - Chloé Gregoire
- CHU de Bordeaux, Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche, Bordeaux, France
| | - Stephan Grimaldi
- Institute of Neurophysiopathology UMR 7051 Aix Marseille Université & Assistance Publique de Marseille, Marseille, France
| | - Julien Gueniat
- Centre mémoire ressources et recherche, CHU Dijon, Dijon, France
| | - Claude Gueriot
- Institute of Neurophysiopathology UMR 7051 Aix Marseille Université & Assistance Publique de Marseille, Marseille, France
| | | | - Sophie Haffen
- Centre mémoire Recherche Ressources, Service de Neurologie, CHU Besançon, Besançon, France
| | - Cezara-Roxana Hanta
- Centre Mémoire Ressources et Recherche Haute Bretagne, CHU Rennes, Rennes, France
| | - Clémence Hardy
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Neurology and CNRMAJ, F-76000 Rouen, France
| | | | - Camille Heitz
- Institut du cerveau Trocadero, Paris, France; Neurology Department, Hôpital Universitaire de Nîmes, Nîmes, France
| | - Claire Hourregue
- Cognitive Neurology Center, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France
| | - Thérèse Jonveaux
- Centre Mémoire de Ressources et de Recherche de Lorraine Service de Neurologie CHRU Nancy, Nancy, France; Laboratoire 2LPN EA 7489 Université de Lorraine, Nancy, France
| | - Snejana Jurici
- Consultation Mémoire, Service de Gériatrie, Centre Hospitalier Perpignan, Perpignan, France
| | - Lejla Koric
- Institute of Neurophysiopathology UMR 7051 Aix Marseille Université & Assistance Publique de Marseille, Marseille, France; Aix-Marseille Univ, UMR 7249, CNRS, Centrale Marseille, Institut Fresnel, Marseille, France
| | - Pierre Krolak-Salmon
- CMRR Lyon, Department of Neurology, University Hospital of Lyon, Hospices Civils de Lyon, Lyon, France
| | - Julien Lagarde
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, F-75014, Paris, France; Université Paris-Cité, F-75006 Paris, France; Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, F-91401, Orsay, France
| | | | - Brice Laurens
- CHU de Bordeaux, Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche, Bordeaux, France
| | - Isabelle Le Ber
- Sorbonne Université, INSERM U1127, CNRS 7235, Institut du Cerveau - ICM, Paris, France; AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | | | - Amélie Leblanc
- Consultations neurologiques, HIA Clermont-Tonnerre, Brest, France; Service de neurologie, CHU Cavale-Blanche, Brest, France
| | - Thibaud Lebouvier
- Univ Lille, CHU Lille, Inserm 1172, Memory center, CNRMAJ, LiCEND, Labex DistAlz 59000 Lille, France
| | - Richard Levy
- Sorbonne Université, INSERM U1127, CNRS 7235, Institut du Cerveau - ICM, Paris, France; AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | - Anaïs Lippi
- Service de Neurologie, Hopital Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | | | - Eloi Magnin
- Laboratoire de neuroscience, Université de Franche-Comté UFC et Service de Neurologie, CMRR, CHU Besançon, Besançon, France
| | - Cecilia Marelli
- Service de Neurologie, Hopital Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | - Olivier Martinaud
- Department of Neurology, Caen University Hospital, Caen, France; Normandie UNIV, UNICAEN, PSL Research University, EPHE, INSERM, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, Caen, France
| | | | - Raffaella Migliaccio
- Sorbonne Université, INSERM U1127, CNRS 7235, Institut du Cerveau - ICM, Paris, France; AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | - Emilie Milongo-Rigal
- Neurology Department, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Sophie Mohr
- Centre mémoire ressources et recherche, CHU Dijon, Dijon, France
| | - Hélène Mollion
- CMRR Lyon, Department of Neurology, University Hospital of Lyon, Hospices Civils de Lyon, Lyon, France
| | - Alexandre Morin
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Neurology and CNRMAJ, F-76000 Rouen, France; Département de Psychiatrie, Centre Hospitalier du Rouvray, Université de Rouen, 76000, Sotteville-lès-Rouen, France
| | | | - Camille Noiray
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, F-75014, Paris, France; Université Paris-Cité, F-75006 Paris, France; Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, F-91401, Orsay, France
| | - Pauline Olivieri
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, F-75014, Paris, France; Université Paris-Cité, F-75006 Paris, France; Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, F-91401, Orsay, France
| | - Claire Paquet
- Cognitive Neurology Center, AP-HP.Nord, Site Lariboisière Fernand-Widal, Paris, France; Université Paris Cité, UMR-S 1144, INSERM, Paris, France
| | - Jérémie Pariente
- Neurology Department, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France; Toulouse NeuroImaging Center (ToNIC), INSERM-University of Toulouse Paul Sabatier, Toulouse, France
| | - Florence Pasquier
- Univ Lille, CHU Lille, Inserm 1172, Memory center, CNRMAJ, LiCEND, Labex DistAlz 59000 Lille, France
| | - Alexandre Perron
- Department of Neurology, Hôpitaux Civils de Colmar, F-68000 Colmar, France
| | - Nathalie Philippi
- CMRR d'Alsace, Service de Neurologie, CHU Strasbourg, Strasbourg, France
| | - Vincent Planche
- Univ. Bordeaux, CNRS UMR 5293, Institut des Maladies Neurodégénératives, Bordeaux, France; CHU de Bordeaux, Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche, Bordeaux, France
| | | | - Marie Rafiq
- Neurology Department, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France; Toulouse NeuroImaging Center (ToNIC), INSERM-University of Toulouse Paul Sabatier, Toulouse, France
| | | | - Carole Roué-Jagot
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, F-75014, Paris, France; Université Paris-Cité, F-75006 Paris, France; Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, F-91401, Orsay, France
| | - Dario Saracino
- Sorbonne Université, INSERM U1127, CNRS 7235, Institut du Cerveau - ICM, Paris, France; AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | - Marie Sarazin
- Department of Neurology of Memory and Language, GHU Paris Psychiatrie & Neurosciences, Hôpital Sainte Anne, F-75014, Paris, France; Université Paris-Cité, F-75006 Paris, France; Université Paris-Saclay, BioMaps, Service Hospitalier Frédéric Joliot CEA, CNRS, Inserm, F-91401, Orsay, France
| | - Mathilde Sauvée
- Centre Mémoire de Ressources et de Recherche, Pôle PReNeLe, CHU Grenoble Alpes CS 10226, 38043 Grenoble Cedex 9, France; Unité de recherche mixte Université Grenoble Alpes/Université Savoie Montblanc, CNRS UMR 5115, Laboratoire de Psychologie et Neurocognition (LPNC), 38000 Grenoble, France
| | - François Sellal
- Department of Neurology, Hôpitaux Civils de Colmar, F-68000 Colmar, France; University of Strasbourg, Medicine Faculty, INSERM, U-1118, Strasbourg, France
| | - Marc Teichmann
- AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | - Christel Thauvin
- Genetics Center, University Hospital of Dijon, University of Burgundy, Dijon, France
| | - Quentin Thomas
- Department of Neurology, University Hospital of Dijon, University of Burgundy, Dijon, France; Genetics Center, University Hospital of Dijon, University of Burgundy, Dijon, France
| | - Camille Tisserand
- Neurology Department, Hôpital Pierre-Paul Riquet, Centre Hospitalier Universitaire de Toulouse, Toulouse, France
| | - Cédric Turpinat
- Service de Neurologie, Hopital Gui de Chauliac, CHU de Montpellier, Montpellier, France
| | - Laurène Van Damme
- Service de Neurologie, Centre Hospitalier Perpignan, Perpignan, France
| | | | - Nicolas Villain
- Sorbonne Université, INSERM U1127, CNRS 7235, Institut du Cerveau - ICM, Paris, France; AP-HP Sorbonne Université, Pitié-Salpêtrière Hospital, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France
| | | | - Camille Charbonnier
- Univ Rouen Normandie, Inserm U1245 and CHU Rouen, Department of Biostatistics and CNRMAJ, F-76000 Rouen, France
| | - David Wallon
- Univ Rouen Normandie, Normandie Univ, Inserm U1245 and CHU Rouen, Department of Neurology and CNRMAJ, F-76000 Rouen, France
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Grasset L, Planche V, Bouteloup V, Azouani C, Dubois B, Blanc F, Paquet C, David R, Belin C, Jonveaux T, Julian A, Pariente J, Mangin JF, Chêne G, Dufouil C. Physical activity, biomarkers of brain pathologies and dementia risk: Results from the Memento clinical cohort. Alzheimers Dement 2023; 19:5700-5718. [PMID: 37422285 DOI: 10.1002/alz.13360] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 05/25/2023] [Accepted: 05/29/2023] [Indexed: 07/10/2023]
Abstract
INTRODUCTION This study aims to examine whether physical activity moderates the association between biomarkers of brain pathologies and dementia risk. METHODS From the Memento cohort, we analyzed 1044 patients with mild cognitive impairment, aged 60 and older. Self-reported physical activity was assessed using the International Physical Activity Questionnaire. Biomarkers of brain pathologies comprised medial temporal lobe atrophy (MTA), white matter lesions, and plasma amyloid beta (Aβ)42/40 and phosphorylated tau181. Association between physical activity and risk of developing dementia over 5 years of follow-up, and interactions with biomarkers of brain pathologies were tested. RESULTS Physical activity moderated the association between MTA and plasma Aβ42/40 level and increased dementia risk. Compared to participants with low physical activity, associations of both MTA and plasma Aβ42/40 on dementia risk were attenuated in participants with high physical activity. DISCUSSION Although reverse causality cannot be excluded, this work suggests that physical activity may contribute to cognitive reserve. HIGHLIGHTS Physical activity is an interesting modifiable target for dementia prevention. Physical activity may moderate the impact of brain pathology on dementia risk. Medial temporal lobe atrophy and plasma amyloid beta 42/40 ratio were associated with increased dementia risk especially in those with low level of physical activity.
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Affiliation(s)
- Leslie Grasset
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, CIC1401-EC, Bordeaux, France
| | - Vincent Planche
- University of Bordeaux, CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, Bordeaux, France
| | - Vincent Bouteloup
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, CIC1401-EC, Bordeaux, France
- Pole de sante publique Centre Hospitalier Universitaire (CHU) de Bordeaux, Bordeaux, France
| | - Chabha Azouani
- CATI multicentre imaging platform, US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Gif-sur-Yvette, France
| | - Bruno Dubois
- IM2A AP-HP INSERM UMR-S975 Groupe Hospitalier Pitié-Salpêtrière Institut de la Mémoire et de la Maladie d'Alzheimer Institut du Cerveau et de la Moelle épinière Sorbonne Université Paris, Paris, France
| | - Frédéric Blanc
- ICube laboratory, Pôle de Gériatrie, Université de Strasbourg, CNRS, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherches, Strasbourg, France
| | - Claire Paquet
- Université de Paris Cité, Centre de Neurologie Cognitive GHU APHP Nord Hôpital Lariboisière, INSERMU1144, Paris, France
| | - Renaud David
- Department of Old Age Psychiatry, Nice University Hospital, Nice, France
| | - Catherine Belin
- Service de Neurologie Hôpital Saint-Louis AP-HP, Paris, France
| | - Thérèse Jonveaux
- Centre Mémoire de Ressources et de Recherche de Lorraine, Service de Neurologie CHRU Nancy, Laboratoire Lorrain de Psychologie et de Neurosciences de la dynamique des comportements 2LPN EA 7489 Université de Lorraine, Nancy, France
| | - Adrien Julian
- Service de Neurologie CHU La Milétrie Centre Mémoire de Ressources et de Recherche, Poitiers, France
- Centre d'Investigation Clinique CIC1402, Poitiers, France
| | - Jérémie Pariente
- Department of Neurology, Toulouse University Hospital, Toulouse, France
- Toulouse NeuroImaging Center, Universite de Toulouse, Inserm, UPS, Toulouse, France
| | - Jean-François Mangin
- CATI multicentre imaging platform, US52-UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP, Gif-sur-Yvette, France
- Université Paris-Saclay, CEA, CNRS, Neurospin, UMR 9027, Gif-sur-Yvette, France
| | - Geneviève Chêne
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, CIC1401-EC, Bordeaux, France
- Pole de sante publique Centre Hospitalier Universitaire (CHU) de Bordeaux, Bordeaux, France
| | - Carole Dufouil
- University of Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR 1219, CIC1401-EC, Bordeaux, France
- Pole de sante publique Centre Hospitalier Universitaire (CHU) de Bordeaux, Bordeaux, France
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Coupé P, Planche V, Mansencal B, Kamroui RA, Koubiyr I, Manjòn JV, Tourdias T. Lifespan neurodegeneration of the human brain in multiple sclerosis. Hum Brain Mapp 2023; 44:5602-5611. [PMID: 37615064 PMCID: PMC10619394 DOI: 10.1002/hbm.26464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 07/17/2023] [Accepted: 08/08/2023] [Indexed: 08/25/2023] Open
Abstract
Atrophy related to multiple sclerosis (MS) has been found at the early stages of the disease. However, the archetype dynamic trajectories of the neurodegenerative process, even prior to clinical diagnosis, remain unknown. We modeled the volumetric trajectories of brain structures across the entire lifespan using 40,944 subjects (38,295 healthy controls and 2649 MS patients). Then, we estimated the chronological progression of MS by assessing the divergence of lifespan trajectories between normal brain charts and MS brain charts. Chronologically, the first affected structure was the thalamus, then the putamen and the pallidum (around 4 years later), followed by the ventral diencephalon (around 7 years after thalamus) and finally the brainstem (around 9 years after thalamus). To a lesser extent, the anterior cingulate gyrus, insular cortex, occipital pole, caudate and hippocampus were impacted. Finally, the precuneus and accumbens nuclei exhibited a limited atrophy pattern. Subcortical atrophy was more pronounced than cortical atrophy. The thalamus was the most impacted structure with a very early divergence in life. Our experiments showed that lifespan models of most impacted structures could be an important tool for future preclinical/prodromal prognosis and monitoring of MS.
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Affiliation(s)
| | - Vincent Planche
- Univ. Bordeaux, CNRSBordeauxFrance
- Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de BordeauxBordeauxFrance
| | | | | | - Ismail Koubiyr
- Inserm U1215 ‐ Neurocentre MagendieBordeauxFrance
- Service de Neuroimagerie diagnostique et thérapeutique, CHU de BordeauxBordeauxFrance
| | - José V. Manjòn
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de ValènciaValenciaSpain
| | - Thomas Tourdias
- Inserm U1215 ‐ Neurocentre MagendieBordeauxFrance
- Service de Neuroimagerie diagnostique et thérapeutique, CHU de BordeauxBordeauxFrance
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Cacciamani F, Bercu A, Bouteloup V, Grasset L, Planche V, Chêne G, Dufouil C. Understanding factors associated with the trajectory of subjective cognitive complaints in groups with similar objective cognitive trajectories. Alzheimers Res Ther 2023; 15:205. [PMID: 37993894 PMCID: PMC10666380 DOI: 10.1186/s13195-023-01348-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 11/05/2023] [Indexed: 11/24/2023]
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/Aβ42 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.
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Affiliation(s)
- Federica Cacciamani
- UMR 1219, Bordeaux Population Health Center, University of Bordeaux, Inserm, Bordeaux, F-33000, France.
- CIC 1401-EC, Inserm, University of Bordeaux, CHU de Bordeaux, F-33000, Bordeaux, France.
- ARAMISLab, Sorbonne Université, Institut du Cerveau - Paris Brain Institute - ICM, CNRS, Inria, Inserm, AP-HP, Hôpital de la Pitié Salpêtrière, Paris, F-75013, France.
- Qairnel SAS, Paris, France.
| | - Ariane Bercu
- UMR 1219, Bordeaux Population Health Center, University of Bordeaux, Inserm, Bordeaux, F-33000, France
| | - Vincent Bouteloup
- UMR 1219, Bordeaux Population Health Center, University of Bordeaux, Inserm, Bordeaux, F-33000, France
- CIC 1401-EC, Inserm, University of Bordeaux, CHU de Bordeaux, F-33000, Bordeaux, France
- Department of Public Health, CHU de Bordeaux, 33000, Bordeaux, France
| | - Leslie Grasset
- UMR 1219, Bordeaux Population Health Center, University of Bordeaux, Inserm, Bordeaux, F-33000, France
- CIC 1401-EC, Inserm, University of Bordeaux, CHU de Bordeaux, F-33000, Bordeaux, France
| | - Vincent Planche
- CHU de Bordeaux, Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources Et de Recherche, 33000, Bordeaux, France
- University of Bordeaux, CNRS UMR 5293, Institut Des Maladies Neurodégénératives, 33000, Bordeaux, France
| | - Geneviève Chêne
- UMR 1219, Bordeaux Population Health Center, University of Bordeaux, Inserm, Bordeaux, F-33000, France
- CIC 1401-EC, Inserm, University of Bordeaux, CHU de Bordeaux, F-33000, Bordeaux, France
- Department of Public Health, CHU de Bordeaux, 33000, Bordeaux, France
| | - Carole Dufouil
- UMR 1219, Bordeaux Population Health Center, University of Bordeaux, Inserm, Bordeaux, F-33000, France
- CIC 1401-EC, Inserm, University of Bordeaux, CHU de Bordeaux, F-33000, Bordeaux, France
- Department of Public Health, CHU de Bordeaux, 33000, Bordeaux, France
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Nguyen HD, Clément M, Planche V, Mansencal B, Coupé P. Deep grading for MRI-based differential diagnosis of Alzheimer's disease and Frontotemporal dementia. Artif Intell Med 2023; 144:102636. [PMID: 37783553 PMCID: PMC10904714 DOI: 10.1016/j.artmed.2023.102636] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 06/22/2023] [Accepted: 08/11/2023] [Indexed: 10/04/2023]
Abstract
Alzheimer's disease and Frontotemporal dementia are common forms of neurodegenerative dementia. Behavioral alterations and cognitive impairments are found in the clinical courses of both diseases, and their differential diagnosis can sometimes pose challenges for physicians. Therefore, an accurate tool dedicated to this diagnostic challenge can be valuable in clinical practice. However, current structural imaging methods mainly focus on the detection of each disease but rarely on their differential diagnosis. In this paper, we propose a deep learning-based approach for both disease detection and differential diagnosis. We suggest utilizing two types of biomarkers for this application: structure grading and structure atrophy. First, we propose to train a large ensemble of 3D U-Nets to locally determine the anatomical patterns of healthy people, patients with Alzheimer's disease and patients with Frontotemporal dementia using structural MRI as input. The output of the ensemble is a 2-channel disease's coordinate map, which can be transformed into a 3D grading map that is easily interpretable for clinicians. This 2-channel disease's coordinate map is coupled with a multi-layer perceptron classifier for different classification tasks. Second, we propose to combine our deep learning framework with a traditional machine learning strategy based on volume to improve the model discriminative capacity and robustness. After both cross-validation and external validation, our experiments, based on 3319 MRIs, demonstrated that our method produces competitive results compared to state-of-the-art methods for both disease detection and differential diagnosis.
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Affiliation(s)
- Huy-Dung Nguyen
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, 33400 Talence, France.
| | - Michaël Clément
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, 33400 Talence, France
| | - Vincent Planche
- Univ. Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, 33000 Bordeaux, France; Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, 33000 Bordeaux, France
| | - Boris Mansencal
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, 33400 Talence, France
| | - Pierrick Coupé
- Univ. Bordeaux, CNRS, Bordeaux INP, LaBRI, UMR 5800, 33400 Talence, France
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Planche V. Delirium, blood biomarkers for neurodegeneration, and dementia. Lancet Healthy Longev 2023; 4:e362-e363. [PMID: 37459877 DOI: 10.1016/s2666-7568(23)00104-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 06/05/2023] [Indexed: 08/07/2023] Open
Affiliation(s)
- Vincent Planche
- Institut des Maladies Neurodégénératives, Centre National de la Recherche Scientifique, Unité Mixte de Recherche 5293, Université de Bordeaux, Bordeaux 33000, France; Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche, Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France.
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12
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Planche V, Mansencal B, Manjon JV, Tourdias T, Catheline G, Coupé P. Anatomical MRI staging of frontotemporal dementia variants. Alzheimers Dement 2023; 19:3283-3294. [PMID: 36749884 DOI: 10.1002/alz.12975] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 12/27/2022] [Accepted: 01/04/2023] [Indexed: 02/09/2023]
Abstract
INTRODUCTION The three clinical variants of frontotemporal dementia (behavioral variant [bvFTD], semantic dementia, and progressive non-fluent aphasia [PNFA]) are likely to develop over decades, from the preclinical stage to death. METHODS To describe the long-term chronological anatomical progression of FTD variants, we built lifespan brain charts of normal aging and FTD variants by combining 8022 quality-controlled MRIs from multiple large-scale data-bases, including 107 bvFTD, 44 semantic dementia, and 38 PNFA. RESULTS We report in this manuscript the anatomical MRI staging schemes of the three FTD variants by describing the sequential divergence of volumetric trajectories between normal aging and FTD variants. Subcortical atrophy precedes focal cortical atrophy in specific behavioral and/or language networks, with a "radiological" prodromal phase lasting 8-10 years (time elapsed between the first structural alteration and canonical cortical atrophy). DISCUSSION Amygdalar and striatal atrophy can be candidate biomarkers for future preclinical/prodromal FTD variants definitions. HIGHLIGHTS We describe the chronological MRI staging of the most affected structures in the three frontotemporal dementia (FTD) syndromic variants. In behavioral variant of FTD (bvFTD): bilateral amygdalar, striatal, and insular atrophy precedes fronto-temporal atrophy. In semantic dementia: bilateral amygdalar atrophy precedes left temporal and hippocampal atrophy. In progressive non-fluent aphasia (PNFA): left striatal, insular, and thalamic atrophy precedes opercular atrophy.
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Affiliation(s)
- Vincent Planche
- Univ. Bordeaux, CNRS, UMR 5293, Institut des Maladies Neurodégénératives, Bordeaux, France
- Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, Bordeaux, France
| | | | - José V Manjon
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Valencia, Spain
| | - Thomas Tourdias
- Inserm U1215 - Neurocentre Magendie, Bordeaux, France
- Service de Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, Bordeaux, France
| | - Gwenaëlle Catheline
- Univ. Bordeaux, CNRS, UMR 5287, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, Bordeaux, France
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Liu KY, Villain N, Ayton S, Ackley SF, Planche V, Howard R, Thambisetty M. Key questions for the evaluation of anti-amyloid immunotherapies for Alzheimer's disease. Brain Commun 2023; 5:fcad175. [PMID: 37389302 PMCID: PMC10306158 DOI: 10.1093/braincomms/fcad175] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/09/2023] [Accepted: 06/01/2023] [Indexed: 07/01/2023] Open
Abstract
The clinical benefit associated with anti-amyloid immunotherapies, a new class of drugs for the treatment of Alzheimer's disease, is predicated on their ability to modify disease course by lowering brain amyloid levels. At the time of writing, two amyloid-lowering antibodies, aducanumab and lecanemab, have obtained United States Food and Drug Administration accelerated approval, with further agents of this class in the Alzheimer's disease treatment pipeline. Based on limited published clinical trial data to date, regulators, payors and physicians will need to assess their efficacy, clinical effectiveness and safety, as well as cost and accessibility. We propose that attention to three important questions related to treatment efficacy, clinical effectiveness and safety should guide evidence-based consideration of this important class of drugs. These are: (1) Were trial statistical analyses appropriate and did they convincingly support claims of efficacy? (2) Do reported treatment effects outweigh safety concerns and are they generalizable to a representative clinical population of people with Alzheimer's disease? and (3) Do the data convincingly demonstrate disease course modification, suggesting that increasing clinical benefits beyond the duration of the trials are likely? We suggest specific approaches to interpreting trial results for these drugs and highlight important areas of uncertainty where additional data and a cautious interpretation of existing results is warranted. Safe, effective and accessible treatments for Alzheimer's disease are eagerly awaited by millions of patients and their caregivers worldwide. While amyloid-targeting immunotherapies may be promising disease-modifying Alzheimer's disease treatments, rigorous and unbiased assessment of clinical trial data is critical to regulatory decision-making and subsequently determining their provision and utility in routine clinical practice. Our recommendations provide a framework for evidence-based appraisal of these drugs by regulators, payors, physicians and patients.
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Affiliation(s)
- Kathy Y Liu
- Division of Psychiatry, University College London, London W1T 7NF, UK
| | - Nicolas Villain
- AP-HP.Sorbonne Université, Institut de la Mémoire et de la Maladie d’Alzheimer, Département de Neurologie, Hôpital Pitié-Salpêtrière, 75013 Paris, France
- Sorbonne Université, Institut national de la Santé et de la Recherche Medical (INSERM) U1127, Centre National de la Recherche Scientifique (CNRS) 7225, Institut du Cerveau—ICM, 75013 Paris, France
| | - Scott Ayton
- Melbourne Dementia Research Centre, Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC 3052, Australia
| | - Sarah F Ackley
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA 94158, USA
| | - Vincent Planche
- Univ. Bordeaux, CNRS, UMR 5293, Institut des Maladies Neurodégénératives, F-33000 Bordeaux, France
- Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, F-33000 Bordeaux, France
| | - Robert Howard
- Division of Psychiatry, University College London, London W1T 7NF, UK
| | - Madhav Thambisetty
- Correspondence to: Madhav Thambisetty, MD, PhD Clinical and Translational Neuroscience Section, Laboratory of Behavioral Neuroscience National Institute on Aging, Baltimore, MD 21224, USA E-mail:
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Darricau M, Katsinelos T, Raschella F, Milekovic T, Crochemore L, Li Q, Courtine G, McEwan WA, Dehay B, Bezard E, Planche V. Tau seeds from patients induce progressive supranuclear palsy pathology and symptoms in primates. Brain 2023; 146:2524-2534. [PMID: 36382344 PMCID: PMC10232263 DOI: 10.1093/brain/awac428] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 10/26/2022] [Accepted: 11/04/2022] [Indexed: 11/17/2022] Open
Abstract
Progressive supranuclear palsy is a primary tauopathy affecting both neurons and glia and is responsible for both motor and cognitive symptoms. Recently, it has been suggested that progressive supranuclear palsy tauopathy may spread in the brain from cell to cell in a 'prion-like' manner. However, direct experimental evidence of this phenomenon, and its consequences on brain functions, is still lacking in primates. In this study, we first derived sarkosyl-insoluble tau fractions from post-mortem brains of patients with progressive supranuclear palsy. We also isolated the same fraction from age-matched control brains. Compared to control extracts, the in vitro characterization of progressive supranuclear palsy-tau fractions demonstrated a high seeding activity in P301S-tau expressing cells, displaying after incubation abnormally phosphorylated (AT8- and AT100-positivity), misfolded, filamentous (pentameric formyl thiophene acetic acid positive) and sarkosyl-insoluble tau. We bilaterally injected two male rhesus macaques in the supranigral area with this fraction of progressive supranuclear palsy-tau proteopathic seeds, and two other macaques with the control fraction. The quantitative analysis of kinematic features revealed that progressive supranuclear palsy-tau injected macaques exhibited symptoms suggestive of parkinsonism as early as 6 months after injection, remaining present until euthanasia at 18 months. An object retrieval task showed the progressive appearance of a significant dysexecutive syndrome in progressive supranuclear palsy-tau injected macaques compared to controls. We found AT8-positive staining and 4R-tau inclusions only in progressive supranuclear palsy-tau injected macaques. Characteristic pathological hallmarks of progressive supranuclear palsy, including globose and neurofibrillary tangles, tufted astrocytes and coiled bodies, were found close to the injection sites but also in connected brain regions that are known to be affected in progressive supranuclear palsy (striatum, pallidum, thalamus). Interestingly, while glial AT8-positive lesions were the most frequent near the injection site, we found mainly neuronal inclusions in the remote brain area, consistent with a neuronal transsynaptic spreading of the disease. Our results demonstrate that progressive supranuclear palsy patient-derived tau aggregates can induce motor and behavioural impairments in non-human primates related to the prion-like seeding and spreading of typical pathological progressive supranuclear palsy lesions. This pilot study paves the way for supporting progressive supranuclear palsy-tau injected macaque as a relevant animal model to accelerate drug development targeting this rare and fatal neurodegenerative disease.
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Affiliation(s)
- Morgane Darricau
- University of Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, F-33000 Bordeaux, France
| | - Taxiarchis Katsinelos
- UK Dementia Research Institute, Department of Clinical Neurosciences, University of Cambridge, CB2 0AH Cambridge, UK
| | - Flavio Raschella
- Swiss Federal Institute of Technology (EPFL), CH-1011 Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), CH-1011 Lausanne, Switzerland
- Centre Hospitalier Universitaire Vaudois (CHUV), CH-1011 Lausanne, Switzerland
| | - Tomislav Milekovic
- Swiss Federal Institute of Technology (EPFL), CH-1011 Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), CH-1011 Lausanne, Switzerland
- Centre Hospitalier Universitaire Vaudois (CHUV), CH-1011 Lausanne, Switzerland
| | - Louis Crochemore
- University of Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, F-33000 Bordeaux, France
| | - Qin Li
- Motac Neuroscience, F-33000 Bordeaux, France
| | - Grégoire Courtine
- Swiss Federal Institute of Technology (EPFL), CH-1011 Lausanne, Switzerland
- Defitech Center for Interventional Neurotherapies (NeuroRestore), CH-1011 Lausanne, Switzerland
- Centre Hospitalier Universitaire Vaudois (CHUV), CH-1011 Lausanne, Switzerland
| | - William A McEwan
- UK Dementia Research Institute, Department of Clinical Neurosciences, University of Cambridge, CB2 0AH Cambridge, UK
| | - Benjamin Dehay
- University of Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, F-33000 Bordeaux, France
| | - Erwan Bezard
- University of Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, F-33000 Bordeaux, France
- Motac Neuroscience, F-33000 Bordeaux, France
| | - Vincent Planche
- University of Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, F-33000 Bordeaux, France
- CHU de Bordeaux, Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche, F-33000 Bordeaux, France
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Planche V, Villain N. Advocating for Demonstration of Disease Modification-Have We Been Approaching Clinical Trials in Early Alzheimer Disease Incorrectly? JAMA Neurol 2023:2803745. [PMID: 37093582 DOI: 10.1001/jamaneurol.2023.0815] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
This Viewpoint discusses the benefits of clinical trials with a delayed-start design and analysis of downstream biomarkers to examine whether antimyeloid immunotherapy changes the course of early Alzheimer disease.
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Affiliation(s)
- Vincent Planche
- Centre National de la Recherche Scientifique, Université de Bordeaux, Institut des Maladies Neurodégéneratives, Bordeaux, France
- Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, Centre Hospitalier Universitaire de Bordeaux, Bordeaux, France
| | - Nicolas Villain
- AP-HP.Sorbonne Université, Institut de la Mémoire et de la Maladie d'Alzheimer, Département de Neurologie, Hôpital Pitié-Salpêtrière, Paris, France
- Sorbonne Université, Institut national de la Santé et de la Recherche Medical (INSERM) U1127, Centre National de la Recherche Scientifique (CNRS) 7225, Institut du Cerveau-ICM, Paris, France
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Villain N, Planche V, Levy R. Immunothérapies anti-amyloïdes à forte clairance (IAAFC) dans la maladie d’Alzheimer (MA) au stade précoce : méta-analyse, scénarios possibles, recommandations d’utilisation, mise en œuvre et considérations éthiques en cas d’AMM en France. Rev Neurol (Paris) 2023. [DOI: 10.1016/j.neurol.2023.01.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/29/2023]
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Coupé P, Planche V, Mansencal B, Kamroui RA, Koubiyr I, Manjon JV, Tourdias T. Lifespan Neurodegeneration Of The Human Brain In Multiple Sclerosis. bioRxiv 2023:2023.03.14.532535. [PMID: 36993352 PMCID: PMC10055083 DOI: 10.1101/2023.03.14.532535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Background Atrophy related to Multiple Sclerosis (MS) has been found at the early stages of the disease. However, the archetype dynamic trajectories of the neurodegenerative process, even prior to clinical diagnosis, remain unknown. Methods We modeled the volumetric trajectories of brain structures across the entire lifespan using 40944 subjects (38295 healthy controls and 2649 MS patients). Then, we estimated the chronological progression of MS by assessing the divergence of lifespan trajectories between normal brain charts and MS brain charts. Results Chronologically, the first affected structure was the thalamus, then the putamen and the pallidum (3 years later), followed by the ventral diencephalon (7 years after thalamus) and finally the brainstem (9 years after thalamus). To a lesser extent, the anterior cingulate gyrus, insular cortex, occipital pole, caudate and hippocampus were impacted. Finally, the precuneus and accumbens nuclei exhibited a limited atrophy pattern. Conclusion Subcortical atrophy was more pronounced than cortical atrophy. The thalamus was the most impacted structure with a very early divergence in life. It paves the way toward utilization of these lifespan models for future preclinical/prodromal prognosis and monitoring of MS.
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Affiliation(s)
- Pierrick Coupé
- CNRS, Univ. Bordeaux, Bordeaux INP, LABRI, UMR5800, F-33400 Talence, France
| | - Vincent Planche
- Univ. Bordeaux, CNRS, UMR 5293, Institut des Maladies Neurodégénératives, F-33000 Bordeaux, France
- Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, F-33000 Bordeaux, France
| | - Boris Mansencal
- CNRS, Univ. Bordeaux, Bordeaux INP, LABRI, UMR5800, F-33400 Talence, France
| | - Reda A. Kamroui
- CNRS, Univ. Bordeaux, Bordeaux INP, LABRI, UMR5800, F-33400 Talence, France
| | - Ismail Koubiyr
- Inserm U1215 - Neurocentre Magendie, Bordeaux F-33000, France
- Service de Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, F-33000 Bordeaux, France
| | - José V. Manjon
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain
| | - Thomas Tourdias
- Inserm U1215 - Neurocentre Magendie, Bordeaux F-33000, France
- Service de Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, F-33000 Bordeaux, France
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Planche V, Bouteloup V, Pellegrin I, Mangin JF, Dubois B, Ousset PJ, Pasquier F, Blanc F, Paquet C, Hanon O, Bennys K, Ceccaldi M, Annweiler C, Krolak-Salmon P, Godefroy O, Wallon D, Sauvee M, Boutoleau-Bretonnière C, Bourdel-Marchasson I, Jalenques I, Chene G, Dufouil C. Validity and Performance of Blood Biomarkers for Alzheimer Disease to Predict Dementia Risk in a Large Clinic-Based Cohort. Neurology 2023; 100:e473-e484. [PMID: 36261295 PMCID: PMC9931079 DOI: 10.1212/wnl.0000000000201479] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 09/13/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Blood biomarkers for Alzheimer disease (AD) have consistently proven to be associated with CSF or PET biomarkers and effectively discriminate AD from other neurodegenerative diseases. Our aim was to test their utility in clinical practice, from a multicentric unselected prospective cohort where patients presented with a large spectrum of cognitive deficits or complaints. METHODS The MEMENTO cohort enrolled 2,323 outpatients with subjective cognitive complaint (SCC) or mild cognitive impairment (MCI) consulting in 26 French memory clinics. Participants had neuropsychological assessments, MRI, and blood sampling at baseline. CSF sampling and amyloid PET were optional. Baseline blood Aβ42/40 ratio, total tau, p181-tau, and neurofilament light chain (NfL) were measured using a Simoa HD-X analyzer. An expert committee validated incident dementia cases during a 5-year follow-up period. RESULTS Overall, 2,277 individuals had at least 1 baseline blood biomarker available (n = 357 for CSF subsample, n = 649 for PET subsample), among whom 257 were diagnosed with clinical AD/mixed dementia during follow-up. All blood biomarkers but total tau were mildly correlated with their equivalence in the CSF (r = 0.33 to 0.46, p < 0.0001) and were associated with amyloid-PET status (p < 0.0001). Blood p181-tau was the best blood biomarker to identify amyloid-PET positivity (area under the curve = 0.74 [95% CI = 0.69; 0.79]). Higher blood and CSF p181-tau and NfL concentrations were associated with accelerated time to AD dementia onset with similar incidence rates, whereas blood Aβ42/40 was less efficient than CSF Aβ42/40. Blood p181-tau alone was the best blood predictor of 5-year AD/mixed dementia risk (c-index = 0.73 [95% CI = 0.69; 0.77]); its accuracy was higher in patients with clinical dementia rating (CDR) = 0 (c-index = 0.83 [95% CI = 0.69; 0.97]) than in patients with CDR = 0.5 (c-index = 0.70 [95% CI = 0.66; 0.74]). A "clinical" reference model (combining demographics and neuropsychological assessment) predicted AD/mixed dementia risk with a c-index = 0.88 [95% CI = 0.86-0.91] and performance increased to 0.90 [95% CI = 0.88; 0.92] when adding blood p181-tau + Aβ42/40. A "research" reference model (clinical model + apolipoprotein E genotype and AD signature on MRI) had a c-index = 0.91 [95% CI = 0.89-0.93] increasing to 0.92 [95% CI = 0.90; 0.93] when adding blood p181-tau + Aβ42/40. Chronic kidney disease and vascular comorbidities did not affect predictive performances. DISCUSSION In a clinic-based cohort of patients with SCC or MCI, blood biomarkers may be good hallmarks of underlying pathology but add little to 5-year dementia risk prediction models including traditional predictors.
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Affiliation(s)
- Vincent Planche
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand.
| | - Vincent Bouteloup
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Isabelle Pellegrin
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Jean-Francois Mangin
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Bruno Dubois
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Pierre-Jean Ousset
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Florence Pasquier
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Frederic Blanc
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Claire Paquet
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Olivier Hanon
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Karim Bennys
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Mathieu Ceccaldi
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Cédric Annweiler
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Pierre Krolak-Salmon
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Olivier Godefroy
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - David Wallon
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Mathilde Sauvee
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Claire Boutoleau-Bretonnière
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Isabelle Bourdel-Marchasson
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Isabelle Jalenques
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Genevieve Chene
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
| | - Carole Dufouil
- From the Univ. Bordeaux (V.P.), CNRS UMR 5293, Institut des Maladies Neurodégénératives; CHU de Bordeaux (V.P.), Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche; Univ. Bordeaux (V.B., G.C., C.D.), Inserm U1219, PHARes Team, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED); CHU Bordeaux (V.B., G.C., C.D.), CIC 1401 EC, Pôle Santé Publique; CHU de Bordeaux (I.P.), Département d'Immunologie et d'Immunogénétique; Univ. Paris-Saclay (J.-F.M.), CEA, CNRS, Baobab UMR9027, Neurospin, CATI Multicenter Neuroimaging Platform, US52, UAR 9031, Gif-sur-Yvette; Sorbonne-Université (B.D.), Service des Maladies Cognitives et Comportementales et Institut de La Mémoire et de La Maladie d'Alzheimer (IM2A), Hôpital de La Salpêtrière, AP-PH, Paris; Univ. Toulouse (P.-J.O.), Inserm U1027, Gérontopôle, Departement de Gériatrie, CHU Purpan, Toulouse; Univ. Lille (F.P.), Inserm U1171, Centre Mémoire de Ressources et de Recherche, CHU Lille, DISTAlz, Lille; Univ. Strasbourg (F.B.), CNRS, ICube Laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherche, Pôle de Gériatrie, Strasbourg; Univ. Paris (C.P.), Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP; Univ. Paris Cité (O.H.), EA 4468, AP-HP, Hôpitaux Universitaires Paris Centre, Service de Gériatrie, Hôpital Broca; CHU de Montpellier (K.B.), Pôle de Neurosciences, Département de Neurologie, Centre Mémoire de Ressources et de Recherche, Montpellier; Univ. Aix Marseille (M.C.), Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherche, Département de Neurologie et de Neuropsychologie, AP-HM, Marseille; Univ. Angers (C.A.), UPRES EA 4638, Centre Mémoire de Ressources et de Recherche, Département de Gériatrie, CHU d'Angers, Angers; Univ. Lyon (P.K.-S.), Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon; Univ. Picardie (O.G.), UR UPJV4559, Laboratoire de Neurosciences Fonctionnelles et Pathologies, Service de Neurologie, CHU Amiens; Univ. Normandie (D.W.), UNIROUEN, Inserm U1245, Departement de Neurologie, CNR-MAJ, CHU de Rouen; Centre Mémoire de Ressources et de Recherche Grenoble Arc Alpin (M.S.), Pôle de Psychiatrie et Neurologie, CHU Grenoble Alpes; CHU de Nantes (C.B.-B.), Département de Neurologie, Centre Mémoire de Ressources et Recherche, Nantes; Univ. Bordeaux (I.B.-M.), CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pôle de Gérontologie Clinique, CHU de Bordeaux; and Univ. Clermont Auvergne (I.J.), CNRS, CHU Clermont-Ferrand, Centre Mémoire de Ressources et de Recherche, Service de Psychiatrie de L'Adulte A et Psychologie Médicale, Clermont Auvergne INP, Institut Pascal, Clermont-Ferrand
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19
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Belliart-Guérin G, Planche V. Mnemonic Discrimination Performance in a Memory Clinic: A Pilot Study. J Alzheimers Dis 2023; 94:1527-1534. [PMID: 37458033 PMCID: PMC10473128 DOI: 10.3233/jad-230221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/08/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Mnemonic discrimination is the behavioral ability stemming from pattern separation, which is the neural process of establishing independent and non-overlapping new memories. Over the past two decades, its assessment in various populations has contributed to a better conceptual understanding of age-related memory decline. OBJECTIVE To assess the clinical relevance of mnemonic discrimination in the memory clinics setting. METHODS This retrospective study was performed in 90 patients with a Mini-Mental State Examination (MMSE)>18 who consulted our memory clinic for the first time. All patients were tested with the Mnemonic Similarity Task, a freely available computerized test. Global cognitive function, executive function, visuoconstructional abilities, and verbal and visual episodic memory were also collected, together with the diagnosis after the initial clinical assessment (subjective cognitive complaint [SCC], mild cognitive impairment [MCI], or mild dementia). RESULTS Mnemonic discrimination performance was correlated with global cognitive function, executive function, and visual and verbal episodic memory scores, independent of age. It discriminated patients with SCC from those with MCI (amnestic or non-amnestic) with moderate accuracy (AUC = 0.77-0.78), similar to MMSE and the Frontal Assessment Battery (AUC = 0.74-0.84). Mnemonic discrimination performance did not distinguish between amnestic and non-amnestic MCI and the variability of the measure was important within groups. CONCLUSION Mnemonic discrimination performance involves many cognitive domains and discriminates between patients with SCC and MCI with performance equivalent to "paper-and-pencil" screening tests. Further dedicated prospective studies will determine whether this task is of interest beyond research purposes, as a diagnostic or screening tool in primary care.
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Affiliation(s)
- Ghislain Belliart-Guérin
- CHU de Bordeaux, Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche, Bordeaux, France
| | - Vincent Planche
- CHU de Bordeaux, Pôle de Neurosciences Cliniques, Centre Mémoire de Ressources et de Recherche, Bordeaux, France
- Université Bordeaux, CNRS UMR 5293, Institut des Maladies Neurodégénératives, Bordeaux, France
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Lespinasse J, Chêne G, Mangin J, Dubois B, Blanc F, Paquet C, Hanon O, Planche V, Gabelle A, Ceccaldi M, Annweiler C, Krolak‐Salmon P, Godefroy O, Wallon D, Sauvée M, Bergeret S, Chupin M, Proust‐Lima C, Dufouil C. Associations among hypertension, dementia biomarkers, and cognition: The MEMENTO cohort. Alzheimers Dement 2022. [PMID: 36464896 DOI: 10.1002/alz.12866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 09/12/2022] [Accepted: 10/05/2022] [Indexed: 12/12/2022]
Abstract
INTRODUCTION Approximately 40% of dementia cases could be delayed or prevented acting on modifiable risk factors including hypertension. However, the mechanisms underlying the hypertension-dementia association are still poorly understood. METHODS We conducted a cross-sectional analysis in 2048 patients from the MEMENTO cohort, a French multicenter clinic-based study of outpatients with either isolated cognitive complaints or mild cognitive impairment. Exposure to hypertension was defined as a combination of high blood pressure (BP) status and antihypertensive treatment intake. Pathway associations were examined through structural equation modeling integrating extensive collection of neuroimaging biomarkers and clinical data. RESULTS Participants treated with high BP had significantly lower cognition compared to the others. This association was mediated by higher neurodegeneration and higher white matter hyperintensities load but not by Alzheimer's disease (AD) biomarkers. DISCUSSION These results highlight the importance of controlling hypertension for prevention of cognitive decline and offer new insights on mechanisms underlying the hypertension-dementia association. HIGHLIGHTS Paths of hypertension-cognition association were assessed by structural equation models. The hypertension-cognition association is not mediated by Alzheimer's disease biomarkers. The hypertension-cognition association is mediated by neurodegeneration and leukoaraiosis. Lower cognition was limited to participants treated with uncontrolled blood pressure. Blood pressure control could contribute to promote healthier brain aging.
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Affiliation(s)
- Jérémie Lespinasse
- Inserm Research Center « Bordeaux Population Health », Bordeaux School of Public Health, CIC 1401‐EC Bordeaux University Bordeaux France
- Pôle de santé publique Centre Hospitalier Universitaire (CHU) de Bordeaux Bordeaux France
| | - Geneviève Chêne
- Inserm Research Center « Bordeaux Population Health », Bordeaux School of Public Health, CIC 1401‐EC Bordeaux University Bordeaux France
- Pôle de santé publique Centre Hospitalier Universitaire (CHU) de Bordeaux Bordeaux France
| | - Jean‐Francois Mangin
- CATI, US52‐UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP Paris France
- Université Paris‐Saclay, CEA, CNRS, Neurospin, UMR9027 Baobab Gif‐sur‐Yvette France
| | - Bruno Dubois
- Sorbonne Université, CNRS, INSERM Laboratoire d'Imagerie Biomédicale Paris France
- Sorbonne‐Université, Service des maladies cognitives et comportementales et Institut de la mémoire et de la maladie d'Alzheimer (IM2A) Hôpital de la Salpêtrière Paris AP‐PH France
| | - Frederic Blanc
- Univ. Strasbourg, CNRS, ICube laboratory, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherches Departement de Gériatrie Strasbourg France
| | - Claire Paquet
- Univ. Paris, Inserm U1144, GHU APHP Nord Lariboisière Fernand‐Widal Paris France
| | - Olivier Hanon
- Univ. de Paris, EA 4468, Service de Gériatrie, AP‐HP Hôpital Broca Paris France
| | - Vincent Planche
- Univ. Bordeaux, CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches Pôle de Neurosciences Cliniques, CHU de Bordeaux Bordeaux France
| | - Audrey Gabelle
- Univ. Montpellier, i‐site MUSE, Inserm U1061, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Département de Neurologie, CHU de Montpellier Montpellier France
| | - Mathieu Ceccaldi
- Univ. Aix Marseille, Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherches Département de Neurologie et de Neuropsychologie, AP‐HM Marseille France
| | - Cedric Annweiler
- Univ. Angers, UPRES EA 4638, Centre Mémoire de Ressources et de Recherches, Département de Gériatrie, CHU d'Angers Angers France
| | - Pierre Krolak‐Salmon
- Univ. Lyon, Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes Hospices Civils de Lyon Lyon France
| | - Olivier Godefroy
- Neurology Departement and Functional Neurosciences Lab. (UR UPJV 4559) Amiens University Hospital Amiens France
| | - David Wallon
- Normandie Univ, UNIROUEN, Inserm U1245, CHU Rouen, Department of Neurology and CNR‐MAJ, Normandy Center for Genomic and Personalized Medicine CIC‐CRB1404 Rouen France
| | - Mathilde Sauvée
- CMRR Grenoble Arc Alpin CHU Grenoble Grenoble France
- Laboratoire de Psychologie et NeuroCognition: LPNC CNRS 5105 Université Grenoble Alpes Grenoble France
| | - Sébastien Bergeret
- Département de Médecine NucléaireAP‐HP, Hôpital Pitié‐Salpêtrière ParisFrance
| | - Marie Chupin
- CATI, US52‐UAR2031, CEA, ICM, SU, CNRS, INSERM, APHP Paris France
| | - Cécile Proust‐Lima
- Inserm Research Center « Bordeaux Population Health », Bordeaux School of Public Health, CIC 1401‐EC Bordeaux University Bordeaux France
| | - Carole Dufouil
- Inserm Research Center « Bordeaux Population Health », Bordeaux School of Public Health, CIC 1401‐EC Bordeaux University Bordeaux France
- Pôle de santé publique Centre Hospitalier Universitaire (CHU) de Bordeaux Bordeaux France
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Villain N, Planche V, Levy R. High-clearance anti-amyloid immunotherapies in Alzheimer's disease. Part 1: Meta-analysis and review of efficacy and safety data, and medico-economical aspects. Rev Neurol (Paris) 2022; 178:1011-1030. [PMID: 36184326 DOI: 10.1016/j.neurol.2022.06.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 04/25/2022] [Accepted: 06/15/2022] [Indexed: 12/14/2022]
Abstract
In 2021, aducanumab, an immunotherapy targeting amyloid-β, was approved for Alzheimer's disease (AD) by the US Food and Drug Administration thanks to positive results on a putative biological surrogate marker. This approval has raised an unprecedented controversy. It was followed by a refusal of the European Medicine Agency, which does not allow the marketing of drugs solely on biological arguments and raised safety issues, and important US coverage limitations by the Centers for Medicare & Medicaid Services. Two other anti-amyloid immunotherapies showed significant results regarding a clinical outcome in phase 2 trials, and five drugs are being studied in phase 3 trials. Compared to those tested in previous trials of the 2010s, the common feature and novelty of these anti-amyloid immunotherapies is their ability to induce a high clearance of amyloid load, as measured with positron emission tomography, in the brain of early-stage biomarker-proven AD patients. Here, we review the available evidence regarding efficacy and safety data and medico-economical aspects for high-clearance anti-amyloid immunotherapies. We also perform frequentist and Bayesian meta-analyses of the clinical efficacy and safety of the highest dose groups from the two aducanumab phase 3 trials and the donanemab and lecanemab phase 2 trials. When pooled together, the data from high-clearance anti-amyloid immunotherapies trials confirm a statistically significant clinical effect of these drugs on cognitive decline after 18 months (difference in cognitive decline measured with CDR-SB after 18 months between the high dose immunotherapy groups vs. placebo = -0.24 points; P=0.04, frequentist random-effect model), with results on ADAS-Cog being the most statistically robust. However, this effect remains below the previously established minimal clinically relevant values. In parallel, the drugs significantly increased the occurrence of amyloid-related imaging abnormalities-edema (ARIA-E: risk ratio=13.39; P<0.0001), ARIA-hemorrhage (risk ratio=2.78; P=0.0002), and symptomatic and serious ARIA (7/1321=0.53% in the high dose groups versus 0/1446 in the placebo groups; risk ratio=6.44; P=0.04). The risk/benefit ratio of high-clearance immunotherapies in early AD is so far questionable after 18 months. Identifying subgroups of better responders, the perspective of combination therapies, and a longer follow-up may help improve their clinical relevance. Finally, the preliminary evidence from medico-economical analyses seems to indicate that the current cost of aducanumab in the US is not in reasonable alignment with its clinical benefits.
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Affiliation(s)
- N Villain
- Assistance Publique - Hôpitaux de Paris, Department of Neurology, Institute of Memory and Alzheimer's Disease, Pitié-Salpêtrière Hospital, Paris, France; Sorbonne Université, Inserm U1127, CNRS 7225, Institut du Cerveau - ICM, Paris, France.
| | - V Planche
- CNRS, IMN, UMR 5293, University Bordeaux, 33000 Bordeaux, France; Pôle de Neurosciences Cliniques, Centre Mémoire Ressources Recherches, CHU de Bordeaux, 33000 Bordeaux, France
| | - R Levy
- Assistance Publique - Hôpitaux de Paris, Department of Neurology, Institute of Memory and Alzheimer's Disease, Pitié-Salpêtrière Hospital, Paris, France; Sorbonne Université, Inserm U1127, CNRS 7225, Institut du Cerveau - ICM, Paris, France
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22
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Villain N, Planche V, Levy R. High-clearance anti-amyloid immunotherapies in Alzheimer's disease. Part 2: putative scenarios and timeline in case of approval, recommendations for use, implementation, and ethical considerations in France. Rev Neurol (Paris) 2022; 178:999-1010. [PMID: 36336488 DOI: 10.1016/j.neurol.2022.08.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 07/20/2022] [Accepted: 08/13/2022] [Indexed: 11/06/2022]
Abstract
In 2021, aducanumab, an immunotherapy targeting amyloid-β, was approved for Alzheimer's disease (AD) by the US Food and Drug Administration thanks to positive results on a putative biological surrogate marker. This approval has raised an unprecedented controversy. It was followed by a refusal of the European Medicine Agency, which does not allow the marketing of drugs solely on biological arguments and raised safety issues, and important US coverage limitations by the Centers for Medicare & Medicaid Services. Two other anti-amyloid immunotherapies showed significant results regarding a clinical outcome in phase II trials, and five drugs are being studied in phase III trials. Lecanemab is currently under examination for an 'Accelerated Approval' in the US, with an expected decision in January 2023. The common feature and novelty of these anti-amyloid immunotherapies, compared to those tested in previous trials of the 2010s, is their ability to induce a high clearance of amyloid load, as measured with positron emission tomography, in the brain of early-stage biomarker-proven AD patients. In the first part of this review, we underlined through a meta-analysis that the pooled data from high-clearance anti-amyloid immunotherapies trials demonstrated a significant but slight clinical effect after 18 months. Still, safety remains an issue with serious and symptomatic amyloid-related imaging abnormalities, which are seldom (∼1 per 200 treated patients) but occur beyond chance. In the second part of this review, we hypothesized that there is a high probability that some phase III trials of high-clearance anti-amyloid immunotherapies in early AD will finally be unarguably positive on clinical outcomes in the next five years with acceptable safety data. This may, in turn, lead to approval by the European Medicine Agency if the risk-benefit profile is deemed favorable. Such approval would be a game-changer in managing AD patients and for the organization of memory clinics in France. We review the possible timeline and scenarios for putative approval in France and make propositions regarding putative use in clinical practice, putative implementation in a real-life setting, and ethical considerations.
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Affiliation(s)
- N Villain
- AP-HP Sorbonne Université, Hôpital Pitié-Salpêtrière, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France; Sorbonne Université, INSERM U1127, CNRS 7225, Institut du Cerveau - ICM, Paris, France.
| | - V Planche
- University Bordeaux, CNRS, IMN, UMR 5293, 33000 Bordeaux, France; Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, 33000 Bordeaux, France
| | - R Levy
- AP-HP Sorbonne Université, Hôpital Pitié-Salpêtrière, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France; Sorbonne Université, INSERM U1127, CNRS 7225, Institut du Cerveau - ICM, Paris, France
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23
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Guédon A, Nigolian H, Allali D, Laurent C, Ricard L, Nguyen Y, Boffa J, Rondeau E, Gerotziafas G, Elalamy I, Deriaz S, De Moreuil C, Planche V, Wahl C, Johanet C, Maillot F, Fain O, Mekinian A. Profil clinicobiologique et pronostic des patients porteurs asymptomatiques d’anticorps du SAPL : une étude de cohorte multicentrique française. Rev Med Interne 2022. [DOI: 10.1016/j.revmed.2022.10.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Planche V, Manjon JV, Mansencal B, Lanuza E, Tourdias T, Catheline G, Coupé P. Structural progression of Alzheimer’s disease over decades: the MRI staging scheme. Brain Commun 2022; 4:fcac109. [PMID: 35592489 PMCID: PMC9113086 DOI: 10.1093/braincomms/fcac109] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 03/10/2022] [Accepted: 04/26/2022] [Indexed: 11/25/2022] Open
Abstract
The chronological progression of brain atrophy over decades, from pre-symptomatic to dementia stages, has never been formally depicted in Alzheimer’s disease. This is mainly due to the lack of cohorts with long enough MRI follow-ups in cognitively unimpaired young participants at baseline. To describe a spatiotemporal atrophy staging of Alzheimer’s disease at the whole-brain level, we built extrapolated lifetime volumetric models of healthy and Alzheimer’s disease brain structures by combining multiple large-scale databases (n = 3512 quality controlled MRI from 9 cohorts of subjects covering the entire lifespan, including 415 MRI from ADNI1, ADNI2 and AIBL for Alzheimer’s disease patients). Then, we validated dynamic models based on cross-sectional data using external longitudinal data. Finally, we assessed the sequential divergence between normal aging and Alzheimer’s disease volumetric trajectories and described the following staging of brain atrophy progression in Alzheimer’s disease: (i) hippocampus and amygdala; (ii) middle temporal gyrus; (iii) entorhinal cortex, parahippocampal cortex and other temporal areas; (iv) striatum and thalamus and (v) middle frontal, cingular, parietal, insular cortices and pallidum. We concluded that this MRI scheme of atrophy progression in Alzheimer’s disease was close but did not entirely overlap with Braak staging of tauopathy, with a ‘reverse chronology’ between limbic and entorhinal stages. Alzheimer’s disease structural progression may be associated with local tau accumulation but may also be related to axonal degeneration in remote sites and other limbic-predominant associated proteinopathies.
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Affiliation(s)
- Vincent Planche
- Univ. Bordeaux, CNRS, UMR 5293, Institut des Maladies Neurodégénératives, F-33000 Bordeaux, France
- Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, F-33000 Bordeaux, France
| | - José V. Manjon
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46022, Valencia, Spain
| | - Boris Mansencal
- CNRS, Univ. Bordeaux, Bordeaux INP, LABRI, UMR5800, F-33400 Talence, France
| | - Enrique Lanuza
- Univ. Valencia, Dept. of Cell Biology, Burjassot 46100, Valencia, Spain
| | - Thomas Tourdias
- Inserm U1215 - Neurocentre Magendie, Bordeaux F-33000, France
- Service de Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, F-33000 Bordeaux, France
| | - Gwenaëlle Catheline
- Univ. Bordeaux, CNRS, UMR 5287, Institut de Neurosciences Cognitives et Intégratives d'Aquitaine, F-33000 Bordeaux, France
| | - Pierrick Coupé
- CNRS, Univ. Bordeaux, Bordeaux INP, LABRI, UMR5800, F-33400 Talence, France
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Coupé P, Manjón JV, Mansencal B, Tourdias T, Catheline G, Planche V. Hippocampal-amygdalo-ventricular atrophy score: Alzheimer disease detection using normative and pathological lifespan models. Hum Brain Mapp 2022; 43:3270-3282. [PMID: 35388950 PMCID: PMC9188974 DOI: 10.1002/hbm.25850] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Revised: 02/21/2022] [Accepted: 03/09/2022] [Indexed: 01/07/2023] Open
Abstract
In this article, we present an innovative MRI-based method for Alzheimer disease (AD) detection and mild cognitive impairment (MCI) prognostic, using lifespan trajectories of brain structures. After a full screening of the most discriminant structures between AD and normal aging based on MRI volumetric analysis of 3,032 subjects, we propose a novel Hippocampal-Amygdalo-Ventricular Atrophy score (HAVAs) based on normative lifespan models and AD lifespan models. During a validation on three external datasets on 1,039 subjects, our approach showed very accurate detection (AUC ≥ 94%) of patients with AD compared to control subjects and accurate discrimination (AUC = 78%) between progressive MCI and stable MCI (during a 3-year follow-up). Compared to normative modeling, classical machine learning methods and recent state-of-the-art deep learning methods, our method demonstrated better classification performance. Moreover, HAVAs simplicity makes it fully understandable and thus well-suited for clinical practice or future pharmaceutical trials.
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Affiliation(s)
| | | | | | - Thomas Tourdias
- Inserm U1215 ‐ Neurocentre MagendieBordeauxFrance,Service de neuroimagerie, CHU de BordeauxBordeauxFrance
| | | | - Vincent Planche
- Univ. Bordeaux, CNRS, UMR 5293Institut des Maladies Neurodégénératives, and Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de BordeauxBordeauxFrance
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Arotcarena ML, Dovero S, Biendon N, Dutheil N, Planche V, Bezard E, Dehay B. Pilot Study Assessing the Impact of Intrathecal Administration of Variants AAV-PHP.B and AAV-PHP.eB on Brain Transduction in Adult Rhesus Macaques. Front Bioeng Biotechnol 2021; 9:762209. [PMID: 34869273 PMCID: PMC8634843 DOI: 10.3389/fbioe.2021.762209] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 10/26/2021] [Indexed: 01/15/2023] Open
Abstract
Adeno-associated virus (AAV) vectors are increasingly used as an effective and safe approach to deliver genetic material to the central nervous system (CNS). The AAV9-derived variants, AAV-PHP. B and AAV-PHP.eB, reportedly broadly transduce cells throughout the CNS compared to the original serotype 9, AAV9. As non-human primate data are scarce, we here evaluated the CNS transduction efficiencies after lumbar intrathecal bolus delivery of identical doses of either AAV-PHP. B:CAG-EGFP or AAV-PHP. eB:CAG-EGFP in rhesus macaque monkeys. AAV-PHP.eB achieved a more efficient and widespread CNS transduction compared to AAV-PHP.B. We report a strong neuronal and oligodendroglial tropism for both variants in the putamen and in the hippocampus. This proof-of-concept experiment highlights the potential value of intrathecal infusions of AAV-PHP.eB to distribute genetic material in the CNS with cell-type specificity and introduces a new opportunity to model brain diseases in rhesus macaque monkeys and further develop gene therapies targeting the CNS in humans.
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Affiliation(s)
| | - Sandra Dovero
- CNRS, IMN, UMR 5293, Univ. Bordeaux, Bordeaux, France
| | | | | | - Vincent Planche
- CNRS, IMN, UMR 5293, Univ. Bordeaux, Bordeaux, France.,Centre Memoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, Bordeaux, France
| | - Erwan Bezard
- CNRS, IMN, UMR 5293, Univ. Bordeaux, Bordeaux, France
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Bourel J, Planche V, Dubourdieu N, Oliveira A, Séré A, Ducourneau EG, Tible M, Maitre M, Lesté-Lasserre T, Nadjar A, Desmedt A, Ciofi P, Oliet SH, Panatier A, Tourdias T. Complement C3 mediates early hippocampal neurodegeneration and memory impairment in experimental multiple sclerosis. Neurobiol Dis 2021; 160:105533. [PMID: 34673149 DOI: 10.1016/j.nbd.2021.105533] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 09/09/2021] [Accepted: 10/17/2021] [Indexed: 12/26/2022] Open
Abstract
Memory impairment is one of the disabling manifestations of multiple sclerosis (MS) possibly present from the early stages of the disease and for which there is no specific treatment. Hippocampal synaptic dysfunction and dendritic loss, associated with microglial activation, can underlie memory deficits, yet the molecular mechanisms driving such hippocampal neurodegeneration need to be elucidated. In early-stage experimental autoimmune encephalomyelitis (EAE) female mice, we assessed the expression level of molecules involved in microglia-neuron interactions within the dentate gyrus and found overexpression of genes of the complement pathway. Compared to sham immunized mice, the central element of the complement cascade, C3, showed the strongest and 10-fold upregulation, while there was no increase of downstream factors such as the terminal component C5. The combination of in situ hybridization with immunofluorescence showed that C3 transcripts were essentially produced by activated microglia. Pharmacological inhibition of C3 activity, by daily administration of rosmarinic acid, was sufficient to prevent early dendritic loss, microglia-mediated phagocytosis of synapses in the dentate gyrus, and memory impairment in EAE mice, while morphological markers of microglial activation were still observed. In line, when EAE was induced in C3 deficient mice (C3KO), dendrites and spines of the dentate gyrus as well as memory abilities were preserved. Altogether, these data highlight the central role of microglial C3 in early hippocampal neurodegeneration and memory impairment in EAE and, therefore, pave the way toward new neuroprotective strategies in MS to prevent cognitive deficit using complement inhibitors.
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Affiliation(s)
- Julien Bourel
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, F-3300 Bordeaux, France
| | - Vincent Planche
- Univ. Bordeaux, CNRS, UMR 5293, Institut des Maladies Neurodégénératives, F-33000 Bordeaux, France
| | - Nadège Dubourdieu
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, F-3300 Bordeaux, France
| | - Aymeric Oliveira
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, F-3300 Bordeaux, France
| | - Alexandra Séré
- Univ. Bordeaux, INRAE, Bordeaux INP, NutriNeuro, UMR 1286, F-33000 Bordeaux, France
| | | | - Marion Tible
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, F-3300 Bordeaux, France
| | - Marlène Maitre
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, F-3300 Bordeaux, France
| | | | - Agnes Nadjar
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, F-3300 Bordeaux, France; Univ. Bordeaux, INRAE, Bordeaux INP, NutriNeuro, UMR 1286, F-33000 Bordeaux, France
| | - Aline Desmedt
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, F-3300 Bordeaux, France
| | - Philippe Ciofi
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, F-3300 Bordeaux, France
| | - Stéphane H Oliet
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, F-3300 Bordeaux, France
| | - Aude Panatier
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, F-3300 Bordeaux, France
| | - Thomas Tourdias
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, F-3300 Bordeaux, France; CHU de Bordeaux, Neuroimagerie diagnostique et thérapeutique, F-33000 Bordeaux, France.
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Lazeras C, Cartier M, Bonnet M, Laurens B, Meissner WG, Planche V. Why and how to evaluate driving abilities in patients with neurodegenerative diseases? Geriatr Psychol Neuropsychiatr Vieil 2021:pnv.2021.0975. [PMID: 34753708 DOI: 10.1684/pnv.2021.0975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Many studies have shown that individuals with neurodegenerative diseases are at risk of being involved in a traffic accident. However, driving is critical for social integration and independence in daily life. The lack of consensus and a standardised assessment of driving abilities in these patients is problematic. This article summarises the various multidisciplinary evaluations proposed, their limits and the societal issues raised by such an evaluation. Several theoretical neuropsychological models have attempted to describe the cognitive processes involved in car driving. Moreover, several studies into neurodegenerative diseases have sought to determine which alterations to cognitive functions best explain driving errors. In this article, we describe the relationships between neuropsychological performance and driving abilities for the most frequent neurodegenerative disorders. It appears that a full neuropsychological assessment is necessary to accurately determine which patients are at risk of dangerous driving. In particular, cognitive impairments in attention, visual-spatial abilities, executive functions, and/or information processing speed appear to be the most likely to be involved in driving errors.
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Affiliation(s)
- Chloé Lazeras
- Centre mémoire de ressources et de recherches, Pôle de neurosciences cliniques, CHU de Bordeaux, Bordeaux, France
| | - Mégané Cartier
- Centre mémoire de ressources et de recherches, Pôle de neurosciences cliniques, CHU de Bordeaux, Bordeaux, France
| | - Marie Bonnet
- Centre mémoire de ressources et de recherches, Pôle de neurosciences cliniques, CHU de Bordeaux, Bordeaux, France, Centre expert Parkinson, Pôle de neurosciences cliniques, CHU de Bordeaux, Bordeaux, France
| | - Brice Laurens
- Centre mémoire de ressources et de recherches, Pôle de neurosciences cliniques, CHU de Bordeaux, Bordeaux, France, Centre expert Parkinson, Pôle de neurosciences cliniques, CHU de Bordeaux, Bordeaux, France
| | - Wassilios G Meissner
- Centre expert Parkinson, Pôle de neurosciences cliniques, CHU de Bordeaux, Bordeaux, France, Université de Bordeaux, CNRS, UMR 5293, Institut des maladies neurodégénératives, Bordeaux, France
| | - Vincent Planche
- Centre mémoire de ressources et de recherches, Pôle de neurosciences cliniques, CHU de Bordeaux, Bordeaux, France, Université de Bordeaux, CNRS, UMR 5293, Institut des maladies neurodégénératives, Bordeaux, France
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Planche V, Villain N. US Food and Drug Administration Approval of Aducanumab-Is Amyloid Load a Valid Surrogate End Point for Alzheimer Disease Clinical Trials? JAMA Neurol 2021; 78:1307-1308. [PMID: 34515750 DOI: 10.1001/jamaneurol.2021.3126] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Affiliation(s)
- Vincent Planche
- University of Bordeaux, CNRS, IMN, UMR 5293, Bordeaux, France.,Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, Bordeaux, France
| | - Nicolas Villain
- AP-HP Sorbonne Université, Hôpital Pitié-Salpêtrière, Department of Neurology, Institute of Memory and Alzheimer's Disease, Paris, France.,Institut du Cerveau - ICM, Sorbonne Université, INSERM U1127, CNRS 7225, Paris, France
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30
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Darricau M, Canron MH, Bosc M, Arotçarena ML, Quang ML, Dehay B, Bezard E, Planche V. Lack of limbic-predominant age-related TDP-43 encephalopathy (LATE) neuropathological changes in aged macaques with memory impairment. Neurobiol Aging 2021; 107:53-56. [PMID: 34384992 DOI: 10.1016/j.neurobiolaging.2021.07.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2021] [Revised: 07/07/2021] [Accepted: 07/13/2021] [Indexed: 10/20/2022]
Abstract
The neuropathological changes of limbic-predominant age-related TDP-43 encephalopathy (LATE) are frequent in the aged population and are now recognized as a cause of memory impairment. However, it remains unknown if this proteinopathy is also present in other primate species. We thus investigated the presence and distribution of TDP-43 pathology in the hippocampus and amygdala of 7 aged memory-impaired rhesus macaques (Macaca mulatta, 18-32 years old) from 2 different cohorts. While present in an FTLD-TDP case used as a positive control for immunostaining, we found no TDP-43 or phosphorylated TDP-43 immunoreactive neuronal cytoplasmic inclusion in the amygdala or the hippocampus of these aged animals (as well as in young and mature macaques used as negative controls). We concluded that LATE is probably a human-specific condition, such as many other proteinopathies, and does not participate in age-related memory impairment in non-human primates.
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Affiliation(s)
| | | | | | | | - Mégane Le Quang
- University of Bordeaux, CNRS, IMN, UMR 5293, Bordeaux, France
| | - Benjamin Dehay
- University of Bordeaux, CNRS, IMN, UMR 5293, Bordeaux, France
| | - Erwan Bezard
- University of Bordeaux, CNRS, IMN, UMR 5293, Bordeaux, France; Motac Neuroscience, Bordeaux, France
| | - Vincent Planche
- University of Bordeaux, CNRS, IMN, UMR 5293, Bordeaux, France; Centre Mémoire Ressources Recherches, Pôle de Neurosciences Cliniques, Bordeaux, France.
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Lazeras C, Cartier M, Bonnet M, Laurens B, Meissner WG, Planche V. [Why and how evaluating driving abilities in patients with neurodegenerative diseases?]. Geriatr Psychol Neuropsychiatr Vieil 2021; 19:191-201. [PMID: 34037523 DOI: 10.1684/pnv.2021.0933] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Many studies have shown that individuals with neurodegenerative diseases are a risk factor for being involved in a traffic accident. However, driving is critical for social integration and independence in daily life. Lack of consensus and standardized assessment of driving abilities in these patients is problematic. This article summarizes the various multidisciplinary evaluations proposed, their limits, and the societal issues raised by such an evaluation. Several neuropsychological theoretical models have attempted to describe the cognitive processes involved in car driving. Moreover, several studies have sought to determine which cognitive functions are impaired in distinct disorders and best explained driving errors. We here describe the relationships between neuropsychological performance and driving abilities for the most frequent neurodegenerative disorders. It appears that a full neuropsychological assessment is necessary to determine accurately which patients are at risk of dangerous driving. In particular, cognitive impairments in attention, visual-spatial abilities, executive functions, and/or information processing speed appear to be the most likely involved in driving errors.
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Affiliation(s)
- Chloé Lazeras
- Centre mémoire de ressources et de recherches, Pôle de neurosciences cliniques, CHU de Bordeaux, France
| | - Mégane Cartier
- Centre mémoire de ressources et de recherches, Pôle de neurosciences cliniques, CHU de Bordeaux, France
| | - Marie Bonnet
- Centre mémoire de ressources et de recherches, Pôle de neurosciences cliniques, CHU de Bordeaux, France, Centre expert Parkinson, Pôle de neurosciences cliniques, CHU de Bordeaux, France
| | - Brice Laurens
- Centre mémoire de ressources et de recherches, Pôle de neurosciences cliniques, CHU de Bordeaux, France, Centre expert Parkinson, Pôle de neurosciences cliniques, CHU de Bordeaux, France
| | - Wassilios G Meissner
- Centre expert Parkinson, Pôle de neurosciences cliniques, CHU de Bordeaux, France, Université de Bordeaux, CNRS, UMR 5293, Institut des maladies neurodégénératives, France
| | - Vincent Planche
- Centre mémoire de ressources et de recherches, Pôle de neurosciences cliniques, CHU de Bordeaux, France, Université de Bordeaux, CNRS, UMR 5293, Institut des maladies neurodégénératives, France
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Pin G, Coupé P, Nadal L, Catheline G, Dartigues JF, Helmer C, Planche V. Atrophie différentielle des sous-champs hippocampiques chez les personnes âgées avec atteinte vasculaire cérébrale « pure ». Rev Neurol (Paris) 2021. [DOI: 10.1016/j.neurol.2021.02.226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Pin G, Coupé P, Nadal L, Manjon JV, Helmer C, Amieva H, Mazoyer B, Dartigues JF, Catheline G, Planche V. Distinct Hippocampal Subfields Atrophy in Older People With Vascular Brain Injuries. Stroke 2021; 52:1741-1750. [PMID: 33657856 DOI: 10.1161/strokeaha.120.031743] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Many neurological or psychiatric diseases affect the hippocampus during aging. The study of hippocampal regional vulnerability may provide important insights into the pathophysiological mechanisms underlying these processes; however, little is known about the specific impact of vascular brain damage on hippocampal subfields atrophy. METHODS To analyze the effect of vascular injuries independently of other pathological conditions, we studied a population-based cohort of nondemented older adults, after the exclusion of people who were diagnosed with neurodegenerative diseases during the 14-year clinical follow-up period. Using an automated segmentation pipeline, 1.5T-magnetic resonance imaging at inclusion and 4 years later were assessed to measure both white matter hyperintensities and hippocampal subfields volume. Annualized rates of white matter hyperintensity progression and annualized rates of hippocampal subfields atrophy were then estimated in each participant. RESULTS We included 249 participants in our analyses (58% women, mean age 71.8, median Mini-Mental State Evaluation 29). The volume of the subiculum at baseline was the only hippocampal subfield volume associated with total, deep/subcortical, and periventricular white matter hyperintensity volumes, independently of demographic variables and vascular risk factors (β=-0.17, P=0.011; β=-0.25, P=0.020 and β=-0.14, P=0.029, respectively). In longitudinal measures, the annualized rate of subiculum atrophy was significantly higher in people with the highest rate of deep/subcortical white matter hyperintensity progression, independently of confounding factors (β=-0.32, P=0.014). CONCLUSIONS These cross-sectional and longitudinal findings highlight the links between vascular brain injuries and a differential vulnerability of the subiculum within the hippocampal loop, unbiased of the effect of neurodegenerative diseases, and particularly when vascular injuries affect deep/subcortical structures.
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Affiliation(s)
- Grégoire Pin
- University of Bordeaux, CNRS, UMR 5293, Institut des Maladies Neurodégénératives, France (G.P., L.N., B.M., V.P.).,Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France (G.P., L.N., J.-F.D., V.P.)
| | - Pierrick Coupé
- University of Bordeaux, CNRS, Bordeaux INP, Laboratoire Bordelais de Recherche en Informatique, UMR 5800, PICTURA, Talence, France (P.C.)
| | - Louis Nadal
- University of Bordeaux, CNRS, UMR 5293, Institut des Maladies Neurodégénératives, France (G.P., L.N., B.M., V.P.).,Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France (G.P., L.N., J.-F.D., V.P.)
| | - Jose V Manjon
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Spain (J.V.M.)
| | - Catherine Helmer
- University of Bordeaux, Inserm, UMR 1219, Bordeaux Population Health Research Center, France (C.H., H.A., J.-F.D.)
| | - Hélène Amieva
- University of Bordeaux, Inserm, UMR 1219, Bordeaux Population Health Research Center, France (C.H., H.A., J.-F.D.)
| | - Bernard Mazoyer
- University of Bordeaux, CNRS, UMR 5293, Institut des Maladies Neurodégénératives, France (G.P., L.N., B.M., V.P.)
| | - Jean-François Dartigues
- Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France (G.P., L.N., J.-F.D., V.P.).,University of Bordeaux, Inserm, UMR 1219, Bordeaux Population Health Research Center, France (C.H., H.A., J.-F.D.)
| | - Gwénaëlle Catheline
- EPHE, PSL, Bordeaux, France (G.C.).,University of Bordeaux, CNRS, UMR 5287, Institut de Neurosciences cognitives et intégratives d'Aquitaine, France (G.C.)
| | - Vincent Planche
- University of Bordeaux, CNRS, UMR 5293, Institut des Maladies Neurodégénératives, France (G.P., L.N., B.M., V.P.).,Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, France (G.P., L.N., J.-F.D., V.P.)
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Planche V, Bouteloup V, Mangin JF, Dubois B, Delrieu J, Pasquier F, Blanc F, Paquet C, Hanon O, Gabelle A, Ceccaldi M, Annweiler C, Krolak-Salmon P, Habert MO, Fischer C, Chupin M, Béjot Y, Godefroy O, Wallon D, Sauvée M, Bourdel-Marchasson I, Jalenques I, Tison F, Chêne G, Dufouil C. Clinical relevance of brain atrophy subtypes categorization in memory clinics. Alzheimers Dement 2020; 17:641-652. [PMID: 33325121 DOI: 10.1002/alz.12231] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 10/14/2020] [Accepted: 10/19/2020] [Indexed: 12/14/2022]
Abstract
INTRODUCTION The clinical relevance of brain atrophy subtypes categorization in non-demented persons without a priori knowledge regarding their amyloid status or clinical presentation is unknown. METHODS A total of 2083 outpatients with either subjective cognitive complaint or mild cognitive impairment at study entry were followed during 4 years (MEMENTO cohort). Atrophy subtypes were defined using baseline magnetic resonance imaging (MRI) and previously described algorithms. RESULTS Typical/diffuse atrophy was associated with faster cognitive decline and the highest risk of developing dementia and Alzheimer's disease (AD) over time, both in the whole analytic sample and in amyloid-positive participants. Hippocampal-sparing and limbic-predominant atrophy were also associated with incident dementia, with faster cognitive decline in the limbic predominant atrophy group. Lewy body dementia was more frequent in the hippocampal-sparing and minimal/no atrophy groups. DISCUSSION Atrophy subtypes categorization predicted different subsequent patterns of cognitive decline and rates of conversion to distinct etiologies of dementia in persons attending memory clinics.
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Affiliation(s)
- Vincent Planche
- Univ. Bordeaux, CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, Bordeaux, France
| | - Vincent Bouteloup
- Univ. Bordeaux, Inserm U1219, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Bordeaux, France
| | - Jean-François Mangin
- Univ. Paris-Saclay, CEA, CNRS, Baobab, Neurospin, CATI multicenter neuroimaging platform, Gif-sur-Yvette, France
| | - Bruno Dubois
- Sorbonne-Université, Service des maladies cognitives et comportementales et Institut de la mémoire et de la maladie d'Alzheimer (IM2A), Hôpital de la Salpêtrière, AP-PH, Paris, France
| | - Julien Delrieu
- Departement de Gériatrie, Univ. Toulouse, Inserm U1027, Gérontopôle, CHU Purpan, Toulouse, France
| | - Florence Pasquier
- Univ. Lille, Inserm U1171, Centre Mémoire de Ressources et de Recherches, CHU Lille, DISTAlz, Lille, France
| | - Frédéric Blanc
- ICube laboratory, Departement de Gériatrie, Univ. Strasbourg, CNRS, UMR 7357, Fédération de Médecine Translationnelle de Strasbourg, Centre Mémoire de Ressources et de Recherches, Strasbourg, France
| | - Claire Paquet
- Univ. Paris, Inserm U1144, Groupe Hospitalier Lariboisière Fernand-Widal, AP-HP, Paris, France
| | - Olivier Hanon
- Univ. Paris Descartes Sorbonne Paris Cité, EA 4468, Service de Gériatrie, AP-HP, Hôpital Broca, Paris, France
| | - Audrey Gabelle
- Département de Neurologie, Univ. Montpellier, i-site MUSE, Inserm U1061, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences, CHU de Montpellier, Montpellier, France
| | - Matthieu Ceccaldi
- Département de Neurologie et de Neuropsychologie, Univ. Aix Marseille, Inserm UMR 1106, Institut de Neurosciences des Systèmes, Centre Mémoire de Ressources et de Recherches, AP-HM, Marseille, France
| | - Cédric Annweiler
- Département de Gériatrie, CHU d'Angers, Univ. Angers, UPRES EA 4638, Centre Mémoire de Ressources et de Recherches, Angers, France
| | - Pierre Krolak-Salmon
- Univ. Lyon, Inserm U1028, CNRS UMR5292, Centre de Recherche en Neurosciences de Lyon, Centre Mémoire Ressource et Recherche de Lyon (CMRR), Hôpital des Charpennes, Hospices Civils de Lyon, Lyon, France
| | - Marie-Odile Habert
- Laboratoire d'Imagerie Biomédicale, Sorbonne-Université, CNRS, Inserm, CATI multicenter neuroimaging platform, AP-HP, Hôpital Pitié-Salpêtrière, Médecine Nucléaire, Paris, France
| | - Clara Fischer
- Univ. Paris-Saclay, CEA, CNRS, Baobab, Neurospin, CATI multicenter neuroimaging platform, Gif-sur-Yvette, France
| | - Marie Chupin
- Sorbonne-Université, Inserm U1127, CNRS UMR 7225, CATI multicenter neuroimaging platform, Institut du Cerveau et de la Moelle épinière, Paris, France
| | - Yannick Béjot
- Univ. Bourgogne, EA7460, Centre Mémoire de Ressources et de Recherches, CHU Dijon Bourgogne, Dijon, France
| | - Olivier Godefroy
- Laboratoire de Neurosciences Fonctionnelles et Pathologies, Univ. Picardie, UR UPJV4559, Service de Neurologie, CHU Amiens, Amiens, France
| | - David Wallon
- Departement de Neurologie, Univ. Normandie, UNIROUEN, Inserm U1245, CNR-MAJ, CHU de Rouen, Rouen, France
| | - Mathilde Sauvée
- Centre Mémoire de Ressources et de Recherches Grenoble Arc Alpin, Pôle de Psychiatrie et Neurologie, CHU Grenoble, Grenoble, France
| | - Isabelle Bourdel-Marchasson
- Univ. Bordeaux, Inserm U1219, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Bordeaux, France
- Univ. Bordeaux, CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, Pole de gérontologie clinique, CHU de Bordeaux, Bordeaux, France
| | - Isabelle Jalenques
- Univ. Clermont Auvergne, Centre Mémoire de Ressources et de Recherches, CHU de Clermont-Ferrand, Clermont-Ferrand, France
| | - François Tison
- Univ. Bordeaux, CNRS UMR 5293, Institut des Maladies Neurodégénératives, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, CHU de Bordeaux, Bordeaux, France
| | - Geneviève Chêne
- Univ. Bordeaux, Inserm U1219, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Pôle de Sante Publique, CHU de Bordeaux, Bordeaux, France
| | - Carole Dufouil
- Univ. Bordeaux, Inserm U1219, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Pôle de Sante Publique, CHU de Bordeaux, Bordeaux, France
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Planche V, Bouteloup V, Mangin J, Dubois B, Habert M, Tison F, Chêne G, Dufouil C. Alzheimer’s disease brain atrophy subtypes are associated with incident dementia in subjective cognitive complaint and mild cognitive impairment. Alzheimers Dement 2020. [DOI: 10.1002/alz.039861] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
| | - Vincent Bouteloup
- Centre Inserm U1219, Institut de Santé Publique, d’Epidémiologie et de Développement (ISPED), Bordeaux School of Public Health Université de Bordeaux Bordeaux France
| | | | - Bruno Dubois
- Sorbonne University GRC n° 21, Alzheimer Precision Medicine (APM), AP‐HP, Pitié‐Salpêtrière Hospital Boulevard de l'hôpital F‐75013 Paris France
| | - Marie‐Odile Habert
- Sorbonne Université Inserm U 1146 CNRS UMR 7371, Laboratoire d’Imagerie Biomédicale Paris France
| | - François Tison
- Memory Resource and Research Center of Bordeaux CHU de Bordeaux, Hôpital Pellegrin Bordeaux France
| | - Geneviève Chêne
- Centre INSERM U1219, Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Bordeaux School of Public Health Université de Bordeaux Bordeaux France
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Nadal L, Coupé P, Helmer C, Tison F, Dartigues JF, Catheline G, Planche V. Dynamique de l’atrophie des sous-champs hippocampiques dans le vieillissement et la maladie d’Alzheimer. Rev Neurol (Paris) 2020. [DOI: 10.1016/j.neurol.2020.01.054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Dauphinot V, Bouteloup V, Mangin J, Vellas B, Pasquier F, Blanc F, Hanon O, Gabelle A, Annweiler C, David R, Planche V, Godefroy O, Rivasseau‐Jonveaux T, Chupin M, Fischer C, Chêne G, Dufouil C, Krolak‐Salmon P. Subjective cognitive and non-cognitive complaints and brain MRI biomarkers in the MEMENTO cohort. Alzheimers Dement (Amst) 2020; 12:e12051. [PMID: 32647745 PMCID: PMC7335902 DOI: 10.1002/dad2.12051] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 05/23/2020] [Accepted: 05/26/2020] [Indexed: 12/05/2022]
Abstract
INTRODUCTION Subjective cognitive complaints may be a signature of preclinical stage Alzheimer's disease. However, the link between subjective cognitive and non-cognitive complaints and brain alterations remains unclear. METHODS The relationship between cognitive and non-cognitive complaints and brain biomarkers, measured by structural magnetic resonance imaging, was investigated in 2056 participants of the MEMENTO cohort of outpatients, who were dementia-free at baseline. We assessed whether the cognitive status at inclusion or the presence of the apolipoprotein E gene variant (APOE) ε4 could modulate the association between the intensity of complaints and brain lesions. RESULTS Smaller hippocampal volume was associated with higher memory complaints and discomfort in daily life. In APOE ε4 carriers, smaller whole-brain white matter and gray matter volumes and gyrification indices in several regions of interest of the parietal and temporal lobes, in the entorhinal and the para-hippocampal gyrus, were associated with higher memory complaint score. CONCLUSIONS The intensity of subjective complaints in not only memory but discomfort in daily life was associated with brain degeneration markers. The presence of APOE ε4 modulated the relationships between subjective memory complaints and brain alterations.
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Affiliation(s)
- Virginie Dauphinot
- Clinical and Research Memory Centre of LyonLyon Institute for ElderlyCharpennes HospitalUniversity Hospital of LyonLyonFrance
| | - Vincent Bouteloup
- InsermBordeaux Population Health Research CenterUMR 1219Bordeaux UniversityISPEDBordeaux UniversityBordeauxFrance
- University hospital of BordeauxPublic Health CenterBordeauxFrance
| | - Jean‐François Mangin
- CATI Multicenter Neuroimaging Platform (http://cati‐neuroimaging.com)Gif‐sur‐YvetteParisFrance
- NeurospinCEAParis‐Saclay UniversityGif‐sur‐YvetteFrance
| | - Bruno Vellas
- GérontopôleUniversity hospital of Toulouse (CHU Toulouse)ToulouseFrance
- Inserm UMR1027University of Toulouse III Paul SabatierToulouseFrance
| | - Florence Pasquier
- Univ LilleInserm 1171, CHUClinical and Research Memory Research Centre (CMRR) of DistalzLilleFrance
| | - Frédéric Blanc
- Clinical and Memory Research Centre of Strasbourg (CMRR)University hostpital of StrasbourgGeriatrics unitGeriatric Day HospitalStrasbourgFrance
| | - Olivier Hanon
- Geriatry unitParis Descartes UniversityBroca hospitalParisFrance
| | - Audrey Gabelle
- Clinical and Research Memory center of MontpellierDepartment of NeurologyGui de Chauliac HospitalUniversity of MontpellierMontpellierFrance
| | - Cédric Annweiler
- Department of Geriatric MedicineAngers University HospitalAngers University Memory Clinic; Research Center on Autonomy and Longevity; UPRES EA 4638University of AngersAngersFrance
- Robarts Research InstituteDepartment of Medical BiophysicsSchulich School of Medicine and Dentistrythe University of Western OntarioLondonOntarioCanada
| | - Renaud David
- Clinical and Research Memory Centre of Nice University hospital of NiceEA COBTeKCôte d'Azur UniversityNiceFrance
| | - Vincent Planche
- Clinical and Research Memory Centre of BordeauxClinical neurosciences centreUniversity hospital of BordeauxF‐33000 BordeauxFrance et 2. Univ. BordeauxCNRSgérontopole Institute of Neurodegenerative DiseasesBordeauxFrance
| | - Olivier Godefroy
- Departments of NeurologyAmiens University Hospital (CHU Amiens)and Laboratory of Functional Neurosciences (EA 4559)Jules Verne University of PicardieAmiensFrance
- Institute of the Brain and Spinal CordInsermU1127,3 CNRS, UMR 7225Sorbonne UniversityParisFrance
| | - Thérèse Rivasseau‐Jonveaux
- Clinical and Research Memory Centre of LorraineHospital of BraboisCognitive‐behavioral unitPaul Spillmann CentreCHRU de NancyFrance
- Communications Research GroupInterpsy EA4432 PsychologyUniversity of LorraineNancyFrance
| | - Marie Chupin
- CATI Multicenter Neuroimaging Platform (http://cati‐neuroimaging.com)Gif‐sur‐YvetteParisFrance
- NeurospinCEAParis‐Saclay UniversityGif‐sur‐YvetteFrance
| | - Clara Fischer
- CATI Multicenter Neuroimaging Platform (http://cati‐neuroimaging.com)Gif‐sur‐YvetteParisFrance
- NeurospinCEAParis‐Saclay UniversityGif‐sur‐YvetteFrance
| | - Geneviève Chêne
- InsermBordeaux Population Health Research CenterUMR 1219Bordeaux UniversityISPEDBordeaux UniversityBordeauxFrance
- University hospital of BordeauxPublic Health CenterBordeauxFrance
| | - Carole Dufouil
- InsermBordeaux Population Health Research CenterUMR 1219Bordeaux UniversityISPEDBordeaux UniversityBordeauxFrance
- University hospital of BordeauxPublic Health CenterBordeauxFrance
| | - Pierre Krolak‐Salmon
- Clinical and Research Memory Centre of LyonLyon Institute for ElderlyCharpennes HospitalUniversity Hospital of LyonLyonFrance
- Clinical and Research Memory Centre of LorraineHospital of BraboisCognitive‐behavioral unitPaul Spillmann CentreCHRU de NancyFrance
- Communications Research GroupInterpsy EA4432 PsychologyUniversity of LorraineNancyFrance
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Laurens B, Planche V, Cubizolle S, Declerck L, Dupouy S, Formaglio M, Koric L, Seassau M, Tilikete C, Vighetto A, Ceccaldi M, Tison F. A Spatial Decision Eye-Tracking Task in Patients with Prodromal and Mild Alzheimer’s Disease. J Alzheimers Dis 2019; 71:613-621. [DOI: 10.3233/jad-190549] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Brice Laurens
- Université de Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
- CHU de Bordeaux, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, Bordeaux, France
| | - Vincent Planche
- Université de Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
- CHU de Bordeaux, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, Bordeaux, France
| | - Stéphanie Cubizolle
- Université de Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
| | - Léa Declerck
- Université de Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
| | - Sandrine Dupouy
- Université de Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
- CHU de Bordeaux, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, Bordeaux, France
| | - Maïté Formaglio
- Département de Neurologie cognitive et de Neuro-ophtalmologie, Université Lyon 1 et Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Bron, France
| | - Lejla Koric
- Département de Neurologie et de Neuropsychologie, Aix Marseille Université, Assistance Publique des Hôpitaux de Marseille, Marseille, France
| | | | - Caroline Tilikete
- Département de Neurologie cognitive et de Neuro-ophtalmologie, Université Lyon 1 et Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Bron, France
| | - Alain Vighetto
- Département de Neurologie cognitive et de Neuro-ophtalmologie, Université Lyon 1 et Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Bron, France
| | - Mathieu Ceccaldi
- Département de Neurologie et de Neuropsychologie, Aix Marseille Université, Assistance Publique des Hôpitaux de Marseille, Marseille, France
| | - Françcois Tison
- Université de Bordeaux, CNRS, Institut des Maladies Neurodégénératives, UMR 5293, Bordeaux, France
- CHU de Bordeaux, Centre Mémoire de Ressources et de Recherches, Pôle de Neurosciences Cliniques, Bordeaux, France
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Planche V, Coupé P, Helmer C, Le Goff M, Amieva H, Tison F, Dartigues JF, Catheline G. Evolution of brain atrophy subtypes during aging predicts long-term cognitive decline and future Alzheimer's clinical syndrome. Neurobiol Aging 2019; 79:22-29. [DOI: 10.1016/j.neurobiolaging.2019.03.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2018] [Revised: 02/14/2019] [Accepted: 03/13/2019] [Indexed: 01/06/2023]
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Planche V, Vergnet S, Auzou N, Bonnet M, Tourdias T, Tison F. Acute toxic limbic encephalopathy following glyphosate intoxication. Neurology 2019; 92:534-536. [PMID: 30737339 DOI: 10.1212/wnl.0000000000007115] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 11/29/2018] [Indexed: 11/15/2022] Open
Affiliation(s)
- Vincent Planche
- From the Institut des Maladies Neurodégénératives (V.P., S.V., N.A., M.B., F.T.), CNRS UMR 5293; Université de Bordeaux (V.P., S.V., N.A., M.B., T.T., F.T.); CHU de Bordeaux (V.P., S.V., N.A., M.B., T.T., F.T.); and Neurocentre Magendie (T.T.), INSERM U1215, Bordeaux, France.
| | - Sylvain Vergnet
- From the Institut des Maladies Neurodégénératives (V.P., S.V., N.A., M.B., F.T.), CNRS UMR 5293; Université de Bordeaux (V.P., S.V., N.A., M.B., T.T., F.T.); CHU de Bordeaux (V.P., S.V., N.A., M.B., T.T., F.T.); and Neurocentre Magendie (T.T.), INSERM U1215, Bordeaux, France
| | - Nicolas Auzou
- From the Institut des Maladies Neurodégénératives (V.P., S.V., N.A., M.B., F.T.), CNRS UMR 5293; Université de Bordeaux (V.P., S.V., N.A., M.B., T.T., F.T.); CHU de Bordeaux (V.P., S.V., N.A., M.B., T.T., F.T.); and Neurocentre Magendie (T.T.), INSERM U1215, Bordeaux, France
| | - Marie Bonnet
- From the Institut des Maladies Neurodégénératives (V.P., S.V., N.A., M.B., F.T.), CNRS UMR 5293; Université de Bordeaux (V.P., S.V., N.A., M.B., T.T., F.T.); CHU de Bordeaux (V.P., S.V., N.A., M.B., T.T., F.T.); and Neurocentre Magendie (T.T.), INSERM U1215, Bordeaux, France
| | - Thomas Tourdias
- From the Institut des Maladies Neurodégénératives (V.P., S.V., N.A., M.B., F.T.), CNRS UMR 5293; Université de Bordeaux (V.P., S.V., N.A., M.B., T.T., F.T.); CHU de Bordeaux (V.P., S.V., N.A., M.B., T.T., F.T.); and Neurocentre Magendie (T.T.), INSERM U1215, Bordeaux, France
| | - François Tison
- From the Institut des Maladies Neurodégénératives (V.P., S.V., N.A., M.B., F.T.), CNRS UMR 5293; Université de Bordeaux (V.P., S.V., N.A., M.B., T.T., F.T.); CHU de Bordeaux (V.P., S.V., N.A., M.B., T.T., F.T.); and Neurocentre Magendie (T.T.), INSERM U1215, Bordeaux, France
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Planche V, Su JH, Mournet S, Saranathan M, Dousset V, Han M, Rutt BK, Tourdias T. White-matter-nulled MPRAGE at 7T reveals thalamic lesions and atrophy of specific thalamic nuclei in multiple sclerosis. Mult Scler 2019; 26:987-992. [PMID: 30730233 DOI: 10.1177/1352458519828297] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND Investigating the degeneration of specific thalamic nuclei in multiple sclerosis (MS) remains challenging. METHODS White-matter-nulled (WMn) MPRAGE, MP-FLAIR, and standard T1-weighted magnetic resonance imaging (MRI) were performed on MS patients (n = 15) and matched controls (n = 12). Thalamic lesions were counted in individual sequences and lesion contrast-to-noise ratio (CNR) was measured. Volumes of 12 thalamic nuclei were measured using an automatic segmentation pipeline specifically developed for WMn-MPRAGE. RESULTS WMn-MPRAGE showed more thalamic MS lesions (n = 35 in 9 out of 15 patients) than MP-FLAIR (n = 25) and standard T1 (n = 23), which was associated with significant improvement of CNR (p < 0.0001). MS patients had whole thalamus atrophy (p = 0.003) with lower volumes found for the anteroventral (p < 0.001), the pulvinar (p < 0.0001), and the habenular (p = 0.004) nuclei. CONCLUSION WMn-MPRAGE and automatic thalamic segmentation can highlight thalamic MS lesions and measure patterns of focal thalamic atrophy.
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Affiliation(s)
- Vincent Planche
- Institut des Maladies Neurodégénératives, CNRS UMR 5293, Bordeaux, France; University of Bordeaux, Bordeaux, France; CHU de Bordeaux, Bordeaux, France
| | - Jason H Su
- Department of Electrical Engineering, Stanford University, Stanford, CA, USA
| | | | | | - Vincent Dousset
- University of Bordeaux, Bordeaux, France; CHU de Bordeaux, Bordeaux, France; INSERM U1215, Neurocentre Magendie, Bordeaux, France
| | - May Han
- Department of Neurology, School of Medicine, Stanford University, Palo Alto, CA, USA
| | - Brian K Rutt
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Thomas Tourdias
- University of Bordeaux, Bordeaux, France; CHU de Bordeaux, Bordeaux, France; INSERM U1215, Neurocentre Magendie, Bordeaux, France
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Ghelfenstein Ferreira T, Delhommeau F, Johanet C, Cohen J, Bornes M, Kayem G, Gerotziafas G, Fain O, Planche V, Mekinian A. L’intérêt de la résistance à l’Annexine-A5 et des anticorps non conventionnels dans le diagnostic du syndrome des antiphospholipides séronégatif. Rev Med Interne 2018. [DOI: 10.1016/j.revmed.2018.10.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Koubiyr I, Deloire M, Coupé P, Dulau C, Besson P, Moroso A, Planche V, Tourdias T, Brochet B, Ruet A. Differential Gray Matter Vulnerability in the 1 Year Following a Clinically Isolated Syndrome. Front Neurol 2018; 9:824. [PMID: 30364223 PMCID: PMC6193084 DOI: 10.3389/fneur.2018.00824] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 09/12/2018] [Indexed: 11/21/2022] Open
Abstract
Background and purpose: Whether some gray matter (GM) regions are differentially vulnerable at the early stages of MS is still unknown. The objective of this study is to investigate whether deep and cortical GM are differentially vulnerable after a clinically isolated syndrome (CIS) suggestive of multiple sclerosis (MS). Methods: Fifty-six patients with CIS (PwCIS) and 38 healthy controls (HC) had conventional and diffusion tensor imaging (DTI) at baseline and 46 PwCIS and 20 HC were rescanned after 1 year. Deep GM (DGM) volumes, cortical thickness (CTh), and DTI metrics (FA: fractional anisotropy; MD: mean diffusivity) within these structures were calculated for each participant at each time-point and compared between PwCIS and HC. Linear regression models were used to investigate whether baseline DTI parameters could predict GM volume loss over time. Results: At baseline, GM volumes did not differ between PwCIS and HC, but hippocampal MD was higher in PwCIS than HC (p < 0.01). Over 1 year, GM alterations became more widespread with putamen and hippocampus volumes decreasing in PwCIS (p < 0.01), and cortical thinning in different parts of the cortex along with a significant increase of MD. Hippocampus MD at baseline could predict its volume loss (R2 = 0.159; p < 0.05) and cortical thinning was associated to microstructural damage (Spearman's rho ranging from −0.424 to −0.603 with p < 0.003). Conclusion: Along with MS being a diffuse inflammatory disease, GM showed a differential vulnerability at the early stage spreading from hippocampus to the cortex. Hippocampus volume loss could be predicted by its MD at baseline.
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Affiliation(s)
- Ismail Koubiyr
- Univ. Bordeaux, Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, France
| | | | - Pierrick Coupé
- Laboratoire Bordelais de Recherche en Informatique, UMR CNRS 5800, PICTURA, Talence, France
| | | | - Pierre Besson
- AixMarseille Univ, CNRS, CRMBM UMR 7339, Marseille, France
| | - Amandine Moroso
- Univ. Bordeaux, Bordeaux, France.,CHU de Bordeaux, Bordeaux, France
| | - Vincent Planche
- Univ. Bordeaux, Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, France.,CHU de Bordeaux, Bordeaux, France
| | - Thomas Tourdias
- Univ. Bordeaux, Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, France.,CHU de Bordeaux, Bordeaux, France
| | - Bruno Brochet
- Univ. Bordeaux, Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, France.,CHU de Bordeaux, Bordeaux, France
| | - Aurélie Ruet
- Univ. Bordeaux, Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, France.,CHU de Bordeaux, Bordeaux, France
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Planche V, Munsch F, Pereira B, de Schlichting E, Vidal T, Coste J, Morand D, de Chazeron I, Derost P, Debilly B, Llorca PM, Lemaire JJ, Marques A, Durif F. Anatomical predictors of cognitive decline after subthalamic stimulation in Parkinson's disease. Brain Struct Funct 2018; 223:3063-3072. [PMID: 29736590 DOI: 10.1007/s00429-018-1677-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Accepted: 05/02/2018] [Indexed: 02/07/2023]
Abstract
We investigated whether pre-operative MRI measures of focal brain atrophy could predict cognitive decline occurring after deep brain stimulation (DBS) of the subthalamic nucleus (STN) in patients with Parkinson's disease (PD). For that purpose, we prospectively collected data of 42 consecutive patients with PD who underwent bilateral STN-DBS. Normalized brain structure volumes and cortical thicknesses were measured on pre-operative T1-weighted MRI. Patients were tested for their cognitive performances before surgery and 1 year after. After controlling for age, gender, pre-operative disease severity, change in dopaminomimetic dose after surgery and contact location, we found correlations: (1) between the variation of the total Mattis dementia rating scale (MDRS) score and left lateral ventricle volume (p = 0.032), (2) between the variation of the initiation/perseveration subscore of the MDRS and the left nucleus accumbens volume (p = 0.042) and the left lateral ventricle volume (p = 0.017) and (3) between the variation of the backward digit-span task and the right and left superior frontal gyrus thickness (p = 0.004 and p = 0.007, respectively). Left nucleus accumbens atrophy was associated with decline in the initiation/perseveration subscore with the largest effect size (d = - 1.64). Pre-operative left nucleus accumbens volume strongly predicted postoperative decline in the initiation/attention subscore (AUC = 0.92, p < 0.001, 96.3% sensitivity, 80.0% specificity, 92.9% PPV and 92.9% NPV). We conclude that the morphometric measures of brain atrophy usually associated with cognitive impairment in PD can also explain or predict a part of cognitive decline after bilateral STN-DBS. In particular, the left accumbens nucleus volume could be considered as a promising marker for guiding surgical decisions.
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Affiliation(s)
- Vincent Planche
- Service de Neurologie, CHU Clermont-Ferrand, Université Clermont Auvergne, 58 rue Montalembert, 63000, Clermont-Ferrand, France.
| | - Fanny Munsch
- Service de Neuroradiologie diagnostique et thérapeutique, CHU Bordeaux, Université Bordeaux, 33000, Bordeaux, France
| | - Bruno Pereira
- Unité de Biostatistiques, Direction à la Recherche Clinique et à l'Innovation (DRCI), CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Emmanuel de Schlichting
- Service de Neurochirurgie, CHU Clermont-Ferrand, Centre National de la Recherche Scientifique (CNRS), Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Tiphaine Vidal
- Centre Mémoire de Ressources et de Recherche (CMRR), CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Jerome Coste
- Service de Neurochirurgie, CHU Clermont-Ferrand, Centre National de la Recherche Scientifique (CNRS), Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Dominique Morand
- Unité de Biostatistiques, Direction à la Recherche Clinique et à l'Innovation (DRCI), CHU Clermont-Ferrand, 63000, Clermont-Ferrand, France
| | - Ingrid de Chazeron
- Centre Médico-Psychologique B (CMP-B), CHU Clermont-Ferrand, Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Philippe Derost
- Service de Neurologie, CHU Clermont-Ferrand, Université Clermont Auvergne, 58 rue Montalembert, 63000, Clermont-Ferrand, France
| | - Bérangère Debilly
- Service de Neurologie, CHU Clermont-Ferrand, Université Clermont Auvergne, 58 rue Montalembert, 63000, Clermont-Ferrand, France
| | - Pierre-Michel Llorca
- Centre Médico-Psychologique B (CMP-B), CHU Clermont-Ferrand, Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Jean-Jacques Lemaire
- Service de Neurochirurgie, CHU Clermont-Ferrand, Centre National de la Recherche Scientifique (CNRS), Université Clermont Auvergne, 63000, Clermont-Ferrand, France
| | - Ana Marques
- Service de Neurologie, CHU Clermont-Ferrand, Université Clermont Auvergne, 58 rue Montalembert, 63000, Clermont-Ferrand, France
| | - Franck Durif
- Service de Neurologie, CHU Clermont-Ferrand, Université Clermont Auvergne, 58 rue Montalembert, 63000, Clermont-Ferrand, France
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Crombe A, Planche V, Raffard G, Bourel J, Dubourdieu N, Panatier A, Fukutomi H, Dousset V, Oliet S, Hiba B, Tourdias T. Deciphering the microstructure of hippocampal subfields with in vivo DTI and NODDI: Applications to experimental multiple sclerosis. Neuroimage 2018; 172:357-368. [PMID: 29409838 DOI: 10.1016/j.neuroimage.2018.01.061] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2017] [Revised: 01/16/2018] [Accepted: 01/24/2018] [Indexed: 12/23/2022] Open
Abstract
The hippocampus contains distinct populations of neurons organized into separate anatomical subfields and layers with differential vulnerability to pathological mechanisms. The ability of in vivo neuroimaging to pinpoint regional vulnerability is especially important for better understanding of hippocampal pathology at the early stage of neurodegenerative disorders and for monitoring future therapeutic strategies. This is the case for instance in multiple sclerosis whose neurodegenerative component can affect the hippocampus from the early stage. We challenged the capacity of two models, i.e. the classical diffusion tensor imaging (DTI) model and the neurite orientation dispersion and density imaging (NODDI) model, to compute quantitative diffusion MRI that could capture microstructural alterations in the individual hippocampal layers of experimental-autoimmune encephalomyelitis (EAE) mice, the animal model of multiple sclerosis. To achieve this, the hippocampal anatomy of a healthy mouse brain was first explored ex vivo with high resolution DTI and NODDI. Then, 18 EAE mice and 18 control mice were explored 20 days after immunization with in vivo diffusion MRI prior to sacrifice for the histological quantification of neurites and glial markers in each hippocampal layer. Fractional anisotropy (FA), axial diffusivity (AD), radial diffusivity (RD) and mean diffusivity (MD) maps were computed from the DTI model while the orientation dispersion index (ODI), the neurite density index (NDI) and the volume fraction of isotropic diffusivity (isoVF) maps were computed from the NODDI model. We first showed in control mice that color-coded FA and ODI maps can delineate three main hippocampal layers. The quantification of FA, AD, RD, MD, ODI, NDI and isoVF presented differences within these 3 layers, especially within the molecular layer of the dentate gyrus which displayed a specific signature based on a combination of AD (or MD), ODI and NDI. Then, the comparison between EAE and control mice showed a decrease of AD (p = 0.036) and of MD (p = 0.033) selectively within the molecular layer of EAE mice while NODDI indices did not present any difference between EAE and control mice in any layer. Histological analyses confirmed the differential vulnerability of the molecular layer of EAE mice that exhibited decreased dendritic length and decreased dendritic complexity together with activated microglia. Dendritic length and intersections within the molecular layer were independent contributors to the observed decrease of AD (R2 = 0.37 and R2 = 0.40, p < 0.0001) and MD (R2 = 0.41 and R2 = 0.42, p < 0.0001). We therefore identified that NODDI maps can help to highlight the internal microanatomy of the hippocampus but NODDI still presents limitations in grey matter as it failed to capture selective dendritic alterations occurring at early stages of a neurodegenerative disease such as multiple sclerosis, whereas DTI maps were significantly altered.
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Affiliation(s)
- Amandine Crombe
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France; CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, F-33000, Bordeaux, France; CHU de Bordeaux, F-33000, Bordeaux, France
| | - Vincent Planche
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France
| | - Gerard Raffard
- Univ. Bordeaux, F-33000, Bordeaux, France; CNRS UMR 5536, Centre de Résonance Magnétique des Systèmes Biologiques, F-33000, Bordeaux, France
| | - Julien Bourel
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France
| | - Nadège Dubourdieu
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France
| | - Aude Panatier
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France
| | - Hikaru Fukutomi
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Vincent Dousset
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France; CHU de Bordeaux, F-33000, Bordeaux, France
| | - Stephane Oliet
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France
| | - Bassem Hiba
- Univ. Bordeaux, F-33000, Bordeaux, France; CNRS UMR 5229, Centre de Neurosciences Cognitives, F-69675, Bron, France.
| | - Thomas Tourdias
- INSERM, U1215, Neurocentre Magendie, F-33000, Bordeaux, France; Univ. Bordeaux, F-33000, Bordeaux, France; CHU de Bordeaux, F-33000, Bordeaux, France.
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Planche V, Koubiyr I, Romero JE, Manjon JV, Coupé P, Deloire M, Dousset V, Brochet B, Ruet A, Tourdias T. Regional hippocampal vulnerability in early multiple sclerosis: Dynamic pathological spreading from dentate gyrus to CA1. Hum Brain Mapp 2018; 39:1814-1824. [PMID: 29331060 DOI: 10.1002/hbm.23970] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Revised: 01/03/2018] [Accepted: 01/04/2018] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Whether hippocampal subfields are differentially vulnerable at the earliest stages of multiple sclerosis (MS) and how this impacts memory performance is a current topic of debate. METHOD We prospectively included 56 persons with clinically isolated syndrome (CIS) suggestive of MS in a 1-year longitudinal study, together with 55 matched healthy controls at baseline. Participants were tested for memory performance and scanned with 3 T MRI to assess the volume of 5 distinct hippocampal subfields using automatic segmentation techniques. RESULTS At baseline, CA4/dentate gyrus was the only hippocampal subfield with a volume significantly smaller than controls (p < .01). After one year, CA4/dentate gyrus atrophy worsened (-6.4%, p < .0001) and significant CA1 atrophy appeared (both in the stratum-pyramidale and the stratum radiatum-lacunosum-moleculare, -5.6%, p < .001 and -6.2%, p < .01, respectively). CA4/dentate gyrus volume at baseline predicted CA1 volume one year after CIS (R2 = 0.44 to 0.47, p < .001, with age, T2 lesion-load, and global brain atrophy as covariates). The volume of CA4/dentate gyrus at baseline was associated with MS diagnosis during follow-up, independently of T2-lesion load and demographic variables (p < .05). Whereas CA4/dentate gyrus volume was not correlated with memory scores at baseline, CA1 atrophy was an independent correlate of episodic verbal memory performance one year after CIS (ß = 0.87, p < .05). CONCLUSION The hippocampal degenerative process spread from dentate gyrus to CA1 at the earliest stage of MS. This dynamic vulnerability is associated with MS diagnosis after CIS and will ultimately impact hippocampal-dependent memory performance.
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Affiliation(s)
- Vincent Planche
- Univ. Bordeaux, Bordeaux, F-33000, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, F-33000, France.,CHU de Bordeaux, Bordeaux, F-33000, France
| | - Ismail Koubiyr
- Univ. Bordeaux, Bordeaux, F-33000, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, F-33000, France
| | - José E Romero
- Instituto Universitario de Tecnologías de la Información y Comunicaciones (ITACA), Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, España
| | - José V Manjon
- Instituto Universitario de Tecnologías de la Información y Comunicaciones (ITACA), Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, España
| | - Pierrick Coupé
- Laboratoire Bordelais de Recherche en Informatique, UMR CNRS 5800, PICTURA, Talence, F-33405, France
| | | | - Vincent Dousset
- Univ. Bordeaux, Bordeaux, F-33000, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, F-33000, France.,CHU de Bordeaux, Bordeaux, F-33000, France
| | - Bruno Brochet
- Univ. Bordeaux, Bordeaux, F-33000, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, F-33000, France.,CHU de Bordeaux, Bordeaux, F-33000, France
| | - Aurélie Ruet
- Univ. Bordeaux, Bordeaux, F-33000, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, F-33000, France.,CHU de Bordeaux, Bordeaux, F-33000, France
| | - Thomas Tourdias
- Univ. Bordeaux, Bordeaux, F-33000, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, F-33000, France.,CHU de Bordeaux, Bordeaux, F-33000, France
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Planche V, Moisset X, Morello R, Dumont E, Gibelin M, Charré-Morin J, Saubusse A, Mondou A, Reuter F, Defer G, Pelletier J, Brochet B, Clavelou P. Improvement of quality of life and its relationship with neuropsychiatric outcomes in patients with multiple sclerosis starting treatment with natalizumab: A 3-year follow-up multicentric study. J Neurol Sci 2017; 382:148-154. [PMID: 29111011 DOI: 10.1016/j.jns.2017.10.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Revised: 09/25/2017] [Accepted: 10/05/2017] [Indexed: 10/18/2022]
Abstract
BACKGROUND Health-related quality of life (HRQoL) is impaired in multiple sclerosis (MS) but can be improved by disease-modifying therapies such as natalizumab. However, the predictive factors and neuropsychiatric correlates of HRQoL improvement are unknown. METHODS In this study, 48 patients with relapsing-remitting MS were included in a 3-year open-label, single group, multicenter, clinical trial (NCT01392872). HRQoL was measured by the disease-specific MusiQoL questionnaire, together with physical disability, cognition, fatigue, anxiety and depression scores at baseline, 6months, 12months, 18months and 36months after starting natalizumab therapy. RESULTS Compared to baseline, global HRQoL, as measured with the index of the MusiQoL, was significantly increased 6months after the beginning of natalizumab therapy, with medium effect-size (58.6±16.2 vs 69.8±18.9, p<0.001, Cohen's d=0.63). This improvement was maintained over time for up to 3years and mainly concerned activity of daily living, psychological well-being, symptoms and coping (p<0.001 for every dimensions). The variation of global HRQoL after 3years was negatively correlated with the variation of fatigue score (r=-0.44, p=0.015). Furthermore, a higher fatigue score at baseline was correlated with improvement in global HRQoL 3years afterwards (r=0.34, p=0.041), independently of age, educational level, disease duration and disability at baseline (β=2.45, p=0.020). Disability at baseline, cognitive impairment, anxiety and depression failed to predict or correlate with global HRQoL improvement in multivariate analyses. CONCLUSION Natalizumab improved HRQoL quickly and sustainably in patients with relapsing-remitting MS. In terms of HRQoL, natalizumab seems to benefit mostly patients with more marked fatigue at baseline.
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Affiliation(s)
- Vincent Planche
- Service de Neurologie, CHU de Clermont-Ferrand, Université Clermont Auvergne, F-63000 Clermont-Ferrand, France.
| | - Xavier Moisset
- Service de Neurologie, CHU de Clermont-Ferrand, Université Clermont Auvergne, F-63000 Clermont-Ferrand, France; Neuro-Dol, Inserm U1107, Université Clermont Auvergne, F-63000 Clermont-Ferrand, France
| | - Remy Morello
- Unité de Biostatistique et Recherche Clinique, CHU de Caen, Université de Normandie, F-14033 Caen, France
| | - Emilie Dumont
- Service de Neurologie, CHU de Clermont-Ferrand, Université Clermont Auvergne, F-63000 Clermont-Ferrand, France
| | | | - Julie Charré-Morin
- Service de Neurologie, CHU de Bordeaux, Université de Bordeaux, F-33007 Bordeaux, France
| | - Aurore Saubusse
- Service de Neurologie, CHU de Bordeaux, Université de Bordeaux, F-33007 Bordeaux, France
| | - Audrey Mondou
- Service de Neurologie, CHU de Caen, Université de Normandie, F-14033 Caen, France
| | - Françoise Reuter
- APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie, F-13000 Marseille, France
| | - Gilles Defer
- Service de Neurologie, CHU de Caen, Université de Normandie, F-14033 Caen, France
| | - Jean Pelletier
- APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie, F-13000 Marseille, France
| | - Bruno Brochet
- Service de Neurologie, CHU de Bordeaux, Université de Bordeaux, F-33007 Bordeaux, France
| | - Pierre Clavelou
- Service de Neurologie, CHU de Clermont-Ferrand, Université Clermont Auvergne, F-63000 Clermont-Ferrand, France; Neuro-Dol, Inserm U1107, Université Clermont Auvergne, F-63000 Clermont-Ferrand, France
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Moroso A, Ruet A, Lamargue-Hamel D, Munsch F, Deloire M, Coupé P, Charré-Morin J, Saubusse A, Ouallet JC, Planche V, Tourdias T, Dousset V, Brochet B. Microstructural analyses of the posterior cerebellar lobules in relapsing-onset multiple sclerosis and their implication in cognitive impairment. PLoS One 2017; 12:e0182479. [PMID: 28792528 PMCID: PMC5549727 DOI: 10.1371/journal.pone.0182479] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2016] [Accepted: 07/19/2017] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The posterior cerebellar lobules seem to be the anatomical substrate of cognitive cerebellar processes, but their microstructural alterations in multiple sclerosis (MS) remain unclear. OBJECTIVES To correlate diffusion metrics in lobules VI to VIIIb in persons with clinically isolated syndrome (PwCIS) and in cognitively impaired persons with MS (CIPwMS) with their cognitive performances. METHODS Sixty-nine patients (37 PwCIS, 32 CIPwMS) and 36 matched healthy subjects (HS) underwent 3T magnetic resonance imaging, including 3D T1-weighted and diffusion tensor imaging (DTI). Fractional anisotropy (FA) and mean diffusivity (MD) were calculated within each lobule and in the cerebellar peduncles. We investigated the correlations between cognitive outcomes and the diffusion parameters of cerebellar sub-structures and performed multiple linear regression analysis to predict cognitive disability. RESULTS FA was generally lower and MD was higher in the cerebellum and specifically in the vermis Crus II, lobules VIIb and VIIIb in CIPwMS compared with PwCIS and HS. In hierarchical regression analyses, 31% of the working memory z score variance was explained by FA in the left lobule VI and in the left superior peduncle. Working memory was also associated with MD in the vermis Crus II. FA in the left lobule VI and right VIIIa predicted part of the information processing speed (IPS) z scores. CONCLUSION DTI indicators of cerebellar microstructural damage were associated with cognitive deficits in MS. Our results suggested that cerebellar lobular alterations have an impact on attention, working memory and IPS.
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Affiliation(s)
- Amandine Moroso
- Univ. Bordeaux, Bordeaux, France
- CHU de Bordeaux, INSERM-CHU CIC-P 0005, & Services de Neurologie et Neuroradiologie, Bordeaux, France
- Neurocentre Magendie, INSERM U1215, Bordeaux, France
| | - Aurélie Ruet
- Univ. Bordeaux, Bordeaux, France
- CHU de Bordeaux, INSERM-CHU CIC-P 0005, & Services de Neurologie et Neuroradiologie, Bordeaux, France
- Neurocentre Magendie, INSERM U1215, Bordeaux, France
| | | | - Fanny Munsch
- Univ. Bordeaux, Bordeaux, France
- Neurocentre Magendie, INSERM U1215, Bordeaux, France
| | - Mathilde Deloire
- CHU de Bordeaux, INSERM-CHU CIC-P 0005, & Services de Neurologie et Neuroradiologie, Bordeaux, France
| | - Pierrick Coupé
- Univ. Bordeaux, Bordeaux, France
- LaBRI, UMR 5800, PICTURA, Talence, France
| | - Julie Charré-Morin
- CHU de Bordeaux, INSERM-CHU CIC-P 0005, & Services de Neurologie et Neuroradiologie, Bordeaux, France
| | - Aurore Saubusse
- CHU de Bordeaux, INSERM-CHU CIC-P 0005, & Services de Neurologie et Neuroradiologie, Bordeaux, France
| | - Jean-Christophe Ouallet
- CHU de Bordeaux, INSERM-CHU CIC-P 0005, & Services de Neurologie et Neuroradiologie, Bordeaux, France
| | - Vincent Planche
- Univ. Bordeaux, Bordeaux, France
- Neurocentre Magendie, INSERM U1215, Bordeaux, France
| | - Thomas Tourdias
- Univ. Bordeaux, Bordeaux, France
- CHU de Bordeaux, INSERM-CHU CIC-P 0005, & Services de Neurologie et Neuroradiologie, Bordeaux, France
- Neurocentre Magendie, INSERM U1215, Bordeaux, France
| | - Vincent Dousset
- Univ. Bordeaux, Bordeaux, France
- CHU de Bordeaux, INSERM-CHU CIC-P 0005, & Services de Neurologie et Neuroradiologie, Bordeaux, France
- Neurocentre Magendie, INSERM U1215, Bordeaux, France
| | - Bruno Brochet
- Univ. Bordeaux, Bordeaux, France
- CHU de Bordeaux, INSERM-CHU CIC-P 0005, & Services de Neurologie et Neuroradiologie, Bordeaux, France
- Neurocentre Magendie, INSERM U1215, Bordeaux, France
- * E-mail:
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Planche V, Ruet A, Charré‐Morin J, Deloire M, Brochet B, Tourdias T. Pattern separation performance is decreased in patients with early multiple sclerosis. Brain Behav 2017; 7:e00739. [PMID: 28828205 PMCID: PMC5561305 DOI: 10.1002/brb3.739] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/03/2017] [Revised: 03/19/2017] [Accepted: 04/20/2017] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Hippocampal-dependent memory impairment is frequent and occurs early during the course of multiple sclerosis (MS). While mechanisms responsible for episodic memory dysfunction in patients with MS remain largely unknown, dentate gyrus structure has been suggested as particularly vulnerable at the early stage of the disease. If true, we hypothesized that the pattern separation component of episodic memory (a function known to be critically dependent to dentate gyrus function) would be impaired in patients with early MS (PweMS). METHODS Thirty eight participants (19 PweMS and 19 healthy controls matched on age, gender and education level) were tested with a behavioral pattern separation task and also for information processing speed and visuospatial episodic memory. RESULTS We report a significant decrease in pattern separation performance in PweMS compared to healthy controls (27.07 vs. 40.01, p = .030 after Holm-Bonferroni correction, d = 1.02) together with a significantly higher pattern completion rate (56.11 vs. 40.95, p = .004 after Holm-Bonferroni correction, d = 1.07) while no difference was found among groups for information processing speed and "global" visuospatial episodic memory regarding learning, long-term recall or recognition. CONCLUSION Our results suggest that behavioral pattern separation task can detect subtle memory decline in patients with MS and argue for early dentate gyrus dysfunction during the course of the disease.
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Affiliation(s)
- Vincent Planche
- University of BordeauxBordeauxFrance
- Neurocentre MagendieInserm U1215BordeauxFrance
- CHU de Clermont‐FerrandClermont‐FerrandFrance
| | - Aurélie Ruet
- University of BordeauxBordeauxFrance
- Neurocentre MagendieInserm U1215BordeauxFrance
- CHU de BordeauxBordeauxFrance
| | | | | | - Bruno Brochet
- University of BordeauxBordeauxFrance
- Neurocentre MagendieInserm U1215BordeauxFrance
- CHU de BordeauxBordeauxFrance
| | - Thomas Tourdias
- University of BordeauxBordeauxFrance
- Neurocentre MagendieInserm U1215BordeauxFrance
- CHU de BordeauxBordeauxFrance
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50
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Moroso A, Ruet A, Lamargue-Hamel D, Munsch F, Deloire M, Coupé P, Ouallet JC, Planche V, Moscufo N, Meier DS, Tourdias T, Guttmann CRG, Dousset V, Brochet B. Posterior lobules of the cerebellum and information processing speed at various stages of multiple sclerosis. J Neurol Neurosurg Psychiatry 2017; 88:146-151. [PMID: 27789541 DOI: 10.1136/jnnp-2016-313867] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2016] [Revised: 09/20/2016] [Accepted: 10/08/2016] [Indexed: 11/04/2022]
Abstract
BACKGROUND Cerebellar damage has been implicated in information processing speed (IPS) impairment associated with multiple sclerosis (MS) that might result from functional disconnection in the frontocerebellar loop. Structural alterations in individual posterior lobules, in which cognitive functioning seems preponderant, are still unknown. Our aim was to investigate the impact of grey matter (GM) volume alterations in lobules VI to VIIIb on IPS in persons with clinically isolated syndrome (PwCIS), MS (PwMS) and healthy subjects (HS). METHODS 69 patients (37 PwCIS, 32 PwMS) and 36 HS underwent 3 T MRI including 3-dimensional T1-weighted MRIs. Cerebellum lobules were segmented using SUIT V.3.0 to estimate their normalised GM volume. Neuropsychological testing was performed to assess IPS and main cognitive functions. RESULTS Normalised GM volumes were significantly different between PwMS and HS for the right (p<0.001) and left lobule VI (p<0.01), left crus I, right VIIb and entire cerebellum (p<0.05 for each comparison) and between PwMS and PwCIS for all lobules in subregions VI and left crus I (p<0.05). IPS, attention and working memory were impaired in PwMS compared with PwCIS. In the whole population of patients (PwMS and PwCIS), GM loss in vermis VI (R2=0.36; p<0.05 when considering age and T2 lesion volume as covariates) were associated with IPS impairment. CONCLUSIONS GM volume decrease in posterior lobules (especially vermis VI) was associated with reduced IPS. Our results suggest a significant impact of posterior lobules pathology in corticocerebellar loop disruption resulting in automation and cognitive optimisation lack in MS. TRIAL REGISTRATION Clinicaltrail NCT01207856, NCT01865357; Pre-results.
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Affiliation(s)
- Amandine Moroso
- University Bordeaux, Bordeaux, France.,Services de Neurologie et Neuroradiologie, CHU de Bordeaux, INSERM-CHU CIC-P 0005, Bordeaux, France.,Neurocentre Magendie, INSERM U1215, Bordeaux, France
| | - Aurélie Ruet
- University Bordeaux, Bordeaux, France.,Services de Neurologie et Neuroradiologie, CHU de Bordeaux, INSERM-CHU CIC-P 0005, Bordeaux, France.,Neurocentre Magendie, INSERM U1215, Bordeaux, France
| | | | - Fanny Munsch
- University Bordeaux, Bordeaux, France.,Neurocentre Magendie, INSERM U1215, Bordeaux, France
| | - Mathilde Deloire
- Services de Neurologie et Neuroradiologie, CHU de Bordeaux, INSERM-CHU CIC-P 0005, Bordeaux, France
| | - Pierrick Coupé
- University Bordeaux, Bordeaux, France.,LaBRI, UMR 5800, PICTURA, Talence, France
| | - Jean-Christophe Ouallet
- Services de Neurologie et Neuroradiologie, CHU de Bordeaux, INSERM-CHU CIC-P 0005, Bordeaux, France
| | - Vincent Planche
- University Bordeaux, Bordeaux, France.,Neurocentre Magendie, INSERM U1215, Bordeaux, France
| | - Nicolas Moscufo
- Department of Radiology, Center for Neurological Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Dominik S Meier
- Department of Radiology, Center for Neurological Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Thomas Tourdias
- University Bordeaux, Bordeaux, France.,Services de Neurologie et Neuroradiologie, CHU de Bordeaux, INSERM-CHU CIC-P 0005, Bordeaux, France.,Neurocentre Magendie, INSERM U1215, Bordeaux, France
| | - Charles R G Guttmann
- Department of Radiology, Center for Neurological Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Vincent Dousset
- University Bordeaux, Bordeaux, France.,Services de Neurologie et Neuroradiologie, CHU de Bordeaux, INSERM-CHU CIC-P 0005, Bordeaux, France.,Neurocentre Magendie, INSERM U1215, Bordeaux, France
| | - Bruno Brochet
- University Bordeaux, Bordeaux, France.,Services de Neurologie et Neuroradiologie, CHU de Bordeaux, INSERM-CHU CIC-P 0005, Bordeaux, France.,Neurocentre Magendie, INSERM U1215, Bordeaux, France
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