Libby, 2019, Atherosclerosis, Nat Rev Dis Primers, 5, 56, 10.1038/s41572-019-0106-z
Ahmadi, 2019, From subclinical atherosclerosis to plaque progression and acute coronary events: JACC State-of-the-Art Review, J Am Coll Cardiol, 74, 1608, 10.1016/j.jacc.2019.08.012
Fernández-Ortiz, 2013, The Progression and Early detection of Subclinical Atherosclerosis (PESA) study: rationale and design, Am Heart J, 166, 990, 10.1016/j.ahj.2013.08.024
Ibanez, 2021, Progression of Early Subclinical Atherosclerosis (PESA) study: JACC Focus Seminar 7/8, J Am Coll Cardiol, 78, 156, 10.1016/j.jacc.2021.05.011
Fernández-Friera, 2015, Prevalence, vascular distribution, and multiterritorial extent of subclinical atherosclerosis in a middle-aged cohort: the PESA (Progression of Early Subclinical Atherosclerosis) study, Circulation, 131, 2104, 10.1161/CIRCULATIONAHA.114.014310
Jack, 2018, NIA-AA Research Framework: toward a biological definition of Alzheimer's disease, Alzheimers Dement, 14, 535, 10.1016/j.jalz.2018.02.018
Norton, 2014, Potential for primary prevention of Alzheimer's disease: an analysis of population-based data, Lancet Neurol, 13, 788, 10.1016/S1474-4422(14)70136-X
Cortes-Canteli, 2020, Alzheimer's disease and vascular aging: JACC Focus Seminar, J Am Coll Cardiol, 75, 942, 10.1016/j.jacc.2019.10.062
Cermakova, 2020, Carotid intima-media thickness and markers of brain health in a biracial middle-aged cohort: CARDIA brain MRI sub-study, J Gerontol A Biol Sci Med Sci, 75, 380, 10.1093/gerona/glz039
Wang, 2022, Association of carotid intima-media thickness with brain MRI markers in the Atherosclerosis Risk in Communities Neurocognitive Study (ARIC-NCS), J Stroke Cerebrovasc Dis, 31, 10.1016/j.jstrokecerebrovasdis.2022.106388
Cortes-Canteli, 2021, Subclinical atherosclerosis and brain metabolism in middle-aged individuals: the PESA study, J Am Coll Cardiol, 77, 888, 10.1016/j.jacc.2020.12.027
Chételat, 2020, Amyloid-PET and 18F-FDG-PET in the diagnostic investigation of Alzheimer's disease and other dementias, Lancet Neurol, 19, 951, 10.1016/S1474-4422(20)30314-8
Paulson, 2010, Cerebral blood flow response to functional activation, J Cereb Blood Flow Metab, 30, 2, 10.1038/jcbfm.2009.188
Salvadó, 2022, Reactive astrogliosis is associated with higher cerebral glucose consumption in the early Alzheimer's continuum, Eur J Nucl Med Mol Imaging, 49, 4567, 10.1007/s00259-022-05897-4
Zetterberg, 2021, Moving fluid biomarkers for Alzheimer's disease from research tools to routine clinical diagnostics, Mol Neurodegener, 16, 10, 10.1186/s13024-021-00430-x
Ou, 2019, FDG-PET as an independent biomarker for Alzheimer's biological diagnosis: a longitudinal study, Alzheimers Res Ther, 11, 57, 10.1186/s13195-019-0512-1
Fernández-Friera, 2019, Vascular inflammation in subclinical atherosclerosis detected by hybrid PET/MRI, J Am Coll Cardiol, 73, 1371, 10.1016/j.jacc.2018.12.075
Sala, 2020, Brain metabolic signatures across the Alzheimer's disease spectrum, Eur J Nucl Med Mol Imaging, 47, 256, 10.1007/s00259-019-04559-2
2021, SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe, Eur Heart J, 42, 2439, 10.1093/eurheartj/ehab309
López-Melgar, 2017, Subclinical atherosclerosis burden by 3D ultrasound in mid-life: the PESA study, J Am Coll Cardiol, 70, 301, 10.1016/j.jacc.2017.05.033
Binette, 2021, Creatinine and body mass index influence on plasma amyloid ratio, p-tau217 and neurofilament light, Alzheimers Dement, 17, 10.1002/alz.057769
Benjamini, 2001, The control of the false discovery rate in multiple testing under dependency, Ann Stat, 29, 1165, 10.1214/aos/1013699998
Borja, 2021, Global brain glucose uptake on 18F-FDG-PET/CT is influenced by chronic cardiovascular risk, Nucl Med Commun, 42, 444, 10.1097/MNM.0000000000001349
Yu, 2021, Associations of vascular risk with cognition, brain glucose metabolism, and clinical progression in cognitively intact elders, J Alzheimers Dis, 80, 321, 10.3233/JAD-201117
Ossenkoppele, 2012, Longitudinal imaging of Alzheimer pathology using [11C]PIB, [18F]FDDNP and [18F]FDG PET, Eur J Nucl Med Mol Imaging, 39, 990, 10.1007/s00259-012-2102-3
Aparicio, 2022, Association of plasma NfL levels with risk of cardiovascular disease in the Framingham Heart Study (S33.005), Neurology, 98, 10.1212/WNL.98.18_supplement.1718
Liu, 2021, Higher midlife CAIDE score is associated with increased brain atrophy in a cohort of cognitively healthy middle-aged individuals, J Neurol, 268, 1962, 10.1007/s00415-020-10383-8
Pascual, 2010, Brain glucose metabolism in vascular white matter disease with dementia: differentiation from Alzheimer disease, Stroke, 41, 2889, 10.1161/STROKEAHA.110.591552
Shivamurthy, 2015, Brain FDG PET and the diagnosis of dementia, AJR Am J Roentgenol, 204, W76, 10.2214/AJR.13.12363
Willette, 2015, Association of insulin resistance with cerebral glucose uptake in late middle-aged adults at risk for Alzheimer disease, JAMA Neurol, 72, 1013, 10.1001/jamaneurol.2015.0613
Reiman, 2010, Higher serum total cholesterol levels in late middle age are associated with glucose hypometabolism in brain regions affected by Alzheimer's disease and normal aging, Neuroimage, 49, 169, 10.1016/j.neuroimage.2009.07.025
Pak, 2023, Brain glucose metabolism and aging: a 5-year longitudinal study in a large positron emission tomography cohort, Diabetes Care, 46, e64, 10.2337/dc22-1872
Langbaum, 2012, Blood pressure is associated with higher brain amyloid burden and lower glucose metabolism in healthy late middle-age persons, Neurobiol Aging, 33, 827.e11, 10.1016/j.neurobiolaging.2011.06.020
Knopman, 2001, Cardiovascular risk factors and cognitive decline in middle-aged adults, Neurology, 56, 42, 10.1212/WNL.56.1.42
Arenaza-Urquijo, 2019, The metabolic brain signature of cognitive resilience in the 80+: beyond Alzheimer pathologies, Brain, 142, 1134, 10.1093/brain/awz037
Xu, 2018, Association of severity between carotid and intracranial artery atherosclerosis, Ann Clin Transl Neurol, 5, 843, 10.1002/acn3.590
Ngandu, 2015, A 2 year multidomain intervention of diet, exercise, cognitive training, and vascular risk monitoring versus control to prevent cognitive decline in at-risk elderly people (FINGER): a randomised controlled trial, Lancet, 385, 2255, 10.1016/S0140-6736(15)60461-5