Association between baseline characteristics and number of copies of ?4 allele of APOE genotype: the MEMENTO cohort ,
Amyloid-?; AD: Alzheimer's disease; ADNI: Alzheimer's Disease Neuroimaging Initiative; ADRD: Alzheimer's disease and related disorders; aMCI: Amnestic mild cognitive impairment; APOE: Apolipoprotein E; BOLD: Blood oxygen level-dependent imaging; CATI: Center for Automated Treatment of Images, CDR: Clinical Dementia Rating ,
Bordeaux School of Public Health Pole de sante publique, F-33000 Bordeaux, France. 3 Institute of Memory and Alzheimer's Disease (IM2A) and Brain and Spine Institute (ICM) UMR S 1127, Memory Resource and Research Centre, issue.275006 4 6 7 ,
8 Memory Resource and Research Centre of Paris Nord, AP-HP, Groupe Hospitalier Saint-Louis Lariboisière Fernand Widal, F-75010 Paris, France. 9 Memory Resource and Research Centre, Memory Resource and Research Centre of Bordeaux, p.1233000 ,
13 Memory Resource and Research Centre of Montpellier, p.14 ,
15 Memory Resource and Research Centre of Angers, CHU d'Angers, F-49000 Angers, France. 16 Memory Resource and Research Centre of Lyon, Hospices Civils de Lyon, Hôpital des Charpennes, F-69000 Lyon, France. 17 Memory Resource and Research Centre of Nice, Cognition Behaviour Technology Memory Resource and Research Centre Memory Resource and Research, p.20, 2019. ,
Hôpitaux Universitaires Paris-Seine-Saint-Denis, F-93009 Bobigny, France. 21 Memory Resource and Research Centre of Saint-Etienne, CHU de Saint-Etienne, Hôpital Nord, F-42000 Saint-Etienne, France. 22 Memory Resource and Research Centre of Saint-Etienne, p.42000 ,
23 Memory Resource and Research Centre of Rouen, pp.76031-76055 ,
26 Memory Resource and Research Centre of Poitiers, CHU de Poitiers, Hôpital de La Milétrie, F-86000 Poitiers, France. 27 Memory Resource and Research Centre of Grenoble, 28 Memory Resource and Research Centre of Center Region Memory Resource and Research Centre of Strasbourg, p.2968000 ,
31 Memory Resource and Research Centre of Nantes, CHU de Nantes, F-44000 Nantes, France. 32 Memory Resource and Research Centre of Clermont-Ferrand, CHU de Clermont-Ferrand, F-63000 Clermont-Ferrand, France. 33 Memory Resource and Research Centre of, p.25000 ,
35 Centre pour l'Acquisition et le Traitement des Images, p.36 ,
ICM) -Hôpital Pitié-Salpêtrière, Boulevard de l'hôpital, F-75013 Paris, France. 37 Nuclear Medicine Department, Pitié-Salpêtrière University Hospital ,
20-Year prevalence projections for dementia and impact of preventive policy about risk factors, European Journal of Epidemiology, vol.64, issue.5, pp.493-502, 2013. ,
DOI : 10.1002/ana.21509
Tracking pathophysiological processes in Alzheimer's disease: an updated hypothetical model of dynamic biomarkers, Lancet Neurol, vol.12, pp.207-223, 2013. ,
Blood metabolite markers of preclinical Alzheimer's disease in two longitudinally followed cohorts of older individuals, Alzheimer's & Dementia, vol.12, issue.7, pp.815-837, 2016. ,
DOI : 10.1016/j.jalz.2015.12.008
Prediction of conversion from mild cognitive impairment to dementia with neuronally derived blood exosome protein profile, Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, vol.3, pp.63-72, 2016. ,
DOI : 10.1016/j.dadm.2016.04.001
Neuropathology and Cognitive Impairment in Alzheimer Disease: A Complex but Coherent Relationship, Journal of Neuropathology & Experimental Neurology, vol.68, issue.1, pp.1-14, 2009. ,
DOI : 10.1097/NEN.0b013e3181919a48
Two Phase 3 Trials of Bapineuzumab in Mild-to-Moderate Alzheimer's Disease, New England Journal of Medicine, vol.370, issue.4, pp.322-355, 2014. ,
DOI : 10.1056/NEJMoa1304839
Advances in the pathogenesis of Alzheimer's disease: a re-evaluation of amyloid cascade hypothesis, Transl Neurodegener, vol.1, p.18, 2012. ,
Biomarker modeling of Alzheimer's disease, Neuron, vol.80, pp.1347-58, 2013. ,
Correlation of Alzheimer Disease Neuropathologic Changes With Cognitive Status: A Review of the Literature, Journal of Neuropathology & Experimental Neurology, vol.71, issue.5, pp.362-81, 2012. ,
DOI : 10.1097/NEN.0b013e31825018f7
The Clinical Dementia Rating (CDR): Current version and scoring rules, Neurology, vol.43, issue.11, pp.2412-2416, 1993. ,
DOI : 10.1212/WNL.43.11.2412-a
In: La consultation en gériatrie, pp.13-20, 2001. ,
Screening for dementia by memory testing, Neurology, vol.38, issue.6, pp.900-903, 1988. ,
DOI : 10.1212/WNL.38.6.900
Evaluation of visual recognition memory in MCI patients, Neurology, vol.62, issue.8, pp.1317-1339, 2004. ,
DOI : 10.1212/01.WNL.0000120548.24298.DB
Psychophysical Analysis, The American Journal of Psychology, vol.100, issue.3/4, pp.587-609, 1927. ,
DOI : 10.2307/1422696
Picture Confrontation Oral Naming: Performance Differences between Aphasics and Normals, Brain and Language, vol.53, issue.1, pp.105-125, 1996. ,
DOI : 10.1006/brln.1996.0039
Presentation d'une batterie neuropsychologique et cognitive pour l'evaluation de l'apraxie gestuelle, Rev Neuropsychol, vol.10, pp.311-62, 2000. ,
Visuospatial Judgment, Archives of Neurology, vol.35, issue.6, pp.364-371, 1978. ,
DOI : 10.1001/archneur.1978.00500300038006
Comorbidity of mild cognitive disorder and depression - a neuropsychological analysis, European Archives of Psychiatry and Clinical Neuroscience, vol.250, issue.4, pp.186-93, 2000. ,
DOI : 10.1007/s004060070023
Trail Making Test A and B: Normative data stratified by age and education, Archives of Clinical Neuropsychology, vol.19, issue.2, pp.203-217, 2004. ,
DOI : 10.1016/S0887-6177(03)00039-8
The FAB: A frontal assessment battery at bedside, Neurology, vol.55, issue.11, pp.1621-1627, 2000. ,
DOI : 10.1212/WNL.55.11.1621
Frontal Assessment Battery and Differential Diagnosis of Frontotemporal Dementia and Alzheimer Disease, Archives of Neurology, vol.61, issue.7, pp.1104-1111, 2004. ,
DOI : 10.1001/archneur.61.7.1104
The Neuropsychiatric Inventory-Clinician rating scale (NPI-C): reliability and validity of a revised assessment of neuropsychiatric symptoms in dementia, International Psychogeriatrics, vol.62, issue.06, pp.984-94, 2010. ,
DOI : 10.1212/01.WNL.0000118301.92105.EE
The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity, Public Health Nutrition, vol.71, issue.06, pp.755-62, 2006. ,
DOI : 10.1080/02701367.2000.10608875
Studies of Illness in the Aged, JAMA, vol.185, issue.12, pp.914-923, 1963. ,
DOI : 10.1001/jama.1963.03060120024016
Scales to measure competence in everyday activities, Psychopharmacol Bull, vol.24, pp.609-623, 1988. ,
A Short Physical Performance Battery Assessing Lower Extremity Function: Association With Self-Reported Disability and Prediction of Mortality and Nursing Home Admission, Journal of Gerontology, vol.49, issue.2, pp.85-94, 1994. ,
DOI : 10.1093/geronj/49.2.M85
CATI: A Large Distributed Infrastructure for the Neuroimaging of Cohorts, Neuroinformatics, vol.134, issue.7, pp.253-64, 2016. ,
DOI : 10.1126/science.134.3473.161
URL : https://hal.archives-ouvertes.fr/hal-01303094
Optimization of brain PET imaging for a multicentre trial: the French CATI experience, EJNMMI Physics, vol.40, issue.7, p.6, 2016. ,
DOI : 10.1007/s00259-013-2391-1
URL : https://hal.archives-ouvertes.fr/hal-01300073
EANM procedure guidelines for PET brain imaging using ,
DOI : 10.1007/s00259-009-1264-0
Evaluation of spatial resolution of a PET scanner through the simulation and experimental measurement of the recovery coefficient, Computers in Biology and Medicine, vol.40, issue.1, pp.75-80, 2010. ,
DOI : 10.1016/j.compbiomed.2009.11.002
Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: Method and validation, NeuroImage, vol.46, issue.3, pp.749-61, 2009. ,
DOI : 10.1016/j.neuroimage.2009.02.013
URL : https://hal.archives-ouvertes.fr/hal-00805390
Anatomically constrained region deformation for the automated segmentation of the hippocampus and the amygdala: Method and validation on controls and patients with Alzheimer???s disease, NeuroImage, vol.34, issue.3, pp.996-1019, 2007. ,
DOI : 10.1016/j.neuroimage.2006.10.035
Visual assessment of medial temporal lobe atrophy on magnetic resonance imaging: Interobserver reliability, Journal of Neurology, vol.57, issue.Suppl 2, pp.557-60, 1995. ,
DOI : 10.1016/S0140-6736(86)90837-8
Automatically Parcellating the Human Cerebral Cortex, Cerebral Cortex, vol.14, issue.1, pp.11-22, 2004. ,
DOI : 10.1093/cercor/bhg087
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.7469
An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest, NeuroImage, vol.31, issue.3, pp.968-80, 2006. ,
DOI : 10.1016/j.neuroimage.2006.01.021
In-vivo measurement of cortical morphology: means and meanings, Current Opinion in Neurology, vol.23, pp.359-67, 2010. ,
DOI : 10.1097/WCO.0b013e32833a0afc
Cortical sulci recognition and spatial normalization, Medical Image Analysis, vol.15, issue.4, pp.529-50, 2011. ,
DOI : 10.1016/j.media.2011.02.008
URL : https://hal.archives-ouvertes.fr/hal-00776670
Contrast-Based Fully Automatic Segmentation of White Matter Hyperintensities: Method and Validation, PLoS ONE, vol.41, issue.1, p.48953, 2012. ,
DOI : 10.1371/journal.pone.0048953.s005
URL : https://hal.archives-ouvertes.fr/hal-00789657
CT and MRI Rating of White Matter Lesions, Cerebrovascular Diseases, vol.13, issue.2, pp.31-37, 2002. ,
DOI : 10.1159/000049147
Automatic fiber bundle segmentation in massive tractography datasets using a multi-subject bundle atlas, NeuroImage, vol.61, issue.4, pp.1083-99, 2012. ,
DOI : 10.1016/j.neuroimage.2012.02.071
URL : https://hal.archives-ouvertes.fr/hal-00700800
Connectomist-2.0: a novel diffusion analysis toolbox for BrainVISA, 2012. ,
Adjusted Scaling of FDG Positron Emission Tomography Images for Statistical Evaluation in Patients With Suspected Alzheimer's Disease, Journal of Neuroimaging, vol.50, issue.3, pp.348-55, 2005. ,
DOI : 10.1038/jcbfm.1995.94
Resting state FDG-PET functional connectivity as an early biomarker of Alzheimer's disease using conjoint univariate and independent component analyses, NeuroImage, vol.63, issue.2, pp.936-982, 2012. ,
DOI : 10.1016/j.neuroimage.2012.03.091
Clinical diagnosis of Alzheimer's disease: Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease, Neurology, vol.34, issue.7, pp.939-983, 1984. ,
DOI : 10.1212/WNL.34.7.939
Diagnostic and statistical manual of mental disorders American Psychiatric Association, 1994. ,
Mild cognitive impairment as a diagnostic entity, Journal of Internal Medicine, vol.57, issue.3, pp.183-94, 2004. ,
DOI : 10.1212/WNL.57.9.1655
Categorical and correlational analyses of baseline fluorodeoxyglucose positron emission tomography images from the Alzheimer's Disease Neuroimaging Initiative (ADNI), NeuroImage, vol.45, issue.4, pp.1107-1123, 2009. ,
DOI : 10.1016/j.neuroimage.2008.12.072
Guidelines for reporting methodological challenges and evaluating potential bias in dementia research, Alzheimer's & Dementia, vol.11, issue.9, pp.1098-109, 2015. ,
DOI : 10.1016/j.jalz.2015.06.1885
URL : https://hal.archives-ouvertes.fr/hal-01288885
The road ahead to cure Alzheimer's disease: development of biological markers and neuroimaging methods for prevention trials across all stages and target populations, J Prev Alzheimers Dis, vol.1, pp.181-202, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01098836
Where Vascular Meets Neurodegenerative Disease, Stroke, vol.41, issue.10, Supplement 1, pp.144-146, 2010. ,
DOI : 10.1161/STROKEAHA.110.598326
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2967303
Prevalence and prognostic value of CSF markers of Alzheimer's disease pathology in patients with subjective cognitive impairment or mild cognitive impairment in the DESCRIPA study: a prospective cohort study, The Lancet Neurology, vol.8, issue.7, pp.619-646, 2009. ,
DOI : 10.1016/S1474-4422(09)70139-5
Neuropathologically defined subtypes of Alzheimer's disease with distinct clinical characteristics: a retrospective study, The Lancet Neurology, vol.10, issue.9, pp.785-96, 2011. ,
DOI : 10.1016/S1474-4422(11)70156-9
Alzheimer's disease first symptoms are age dependent: Evidence from??the NACC dataset, Alzheimer's & Dementia, vol.11, issue.11, pp.1349-57, 2015. ,
DOI : 10.1016/j.jalz.2014.12.007
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619185
Progression of Mild Cognitive Impairment to Dementia in Clinic- vs Community-Based Cohorts, Archives of Neurology, vol.66, issue.9, pp.1151-1158, 2009. ,
DOI : 10.1001/archneurol.2009.106
Modeling the prevalence and incidence of Alzheimer???s disease and mild cognitive impairment, Journal of Psychiatric Research, vol.36, issue.5, pp.281-287, 2002. ,
DOI : 10.1016/S0022-3956(02)00020-1
CSF Biomarkers and Incipient Alzheimer Disease in Patients With Mild Cognitive Impairment, JAMA, vol.302, issue.4, pp.385-93, 2009. ,
DOI : 10.1001/jama.2009.1064
Clinical Prediction of Alzheimer Disease Dementia Across the Spectrum of Mild Cognitive Impairment, Archives of General Psychiatry, vol.64, issue.12, pp.1443-50, 2007. ,
DOI : 10.1001/archpsyc.64.12.1443
Alzheimer's Disease Neuroimaging Initiative (ADNI): Clinical characterization, Neurology, vol.74, issue.3, pp.201-210, 2010. ,
DOI : 10.1212/WNL.0b013e3181cb3e25
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2809036
The A4 Study: Stopping AD Before Symptoms Begin?, Science Translational Medicine, vol.1, issue.1, pp.228-241, 2014. ,
DOI : 10.1056/NEJMp1302513
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4049292