1. Jain, S, Goldstein, DS. Cardiovascular dysautonomia in Parkinson disease: from pathophysiology to pathogenesis. Neurobiol Dis 2012; 46(3): 572–580. DOI: 10.1016/j.nbd.2011.10.025.
Google Scholar | Crossref | Medline | ISI2. Alves, M, Caldeira, D, Ferro, JM, et al. Reply to letter: Does parkinson's disease increase the risk of cardiovascular events? A systematic review and meta-analysis. Eur J Neurol 2020; 27(2): e12–296. DOI: 10.1111/ene.14076.
Google Scholar | Crossref | Medline3. Alves, M, Caldeira, D, Rato, ML, et al. Cardiovascular adverse events reported in placebo arm of randomized controlled trials in parkinson's disease. J Parkinsons Dis 2020; 10(2): 641–651. DOI: 10.3233/JPD-191907.
Google Scholar | Crossref | Medline4. Staals, J, Makin, SD, Doubal, FN, et al. Stroke subtype, vascular risk factors, and total MRI brain small-vessel disease burden. Neurology 2014; 83: 1228–1234.
Google Scholar | Crossref | Medline | ISI5. Umoto, M, Miwa, H, Ando, R, et al. White matter hyperintensities in patients with multiple system atrophy. Parkinsonism Relat Disord 2012; 18(1): 17–20. DOI: 10.1016/j.parkreldis.2011.08.004.
Google Scholar | Crossref | Medline6. Dalaker, TO, Larsen, JP, Bergsland, N, et al. Brain atrophy and white matter hyperintensities in early Parkinson's disease(a). Mov Disord 2009; 24(15): 2233–2241. DOI: 10.1002/mds.22754.
Google Scholar | Crossref | Medline | ISI7. Jones, JD, Tanner, JJ, Okun, M, et al. Are Parkinson's patients more vulnerable to the effects of cardiovascular risk: A neuroimaging and neuropsychological study. J Int Neuropsychol Soc 2017; 23(04): 322–331. DOI: 10.1017/S1355617717000017.
Google Scholar | Crossref | Medline8. de Schipper, LJ, Hafkemeijer, A, Bouts, MJRJ, et al. Age- and disease-related cerebral white matter changes in patients with Parkinson's disease. Neurobiol Aging 2019; 80: 203–209. DOI: 10.1016/j.neurobiolaging.2019.05.004.
Google Scholar | Crossref | Medline9. Hanning, U, Teuber, A, Lang, E, et al. White matter hyperintensities are not associated with cognitive decline in early Parkinson's disease: The DeNoPa cohort. Parkinsonism Relat Disord 2019; 69: 61–67. DOI: 10.1016/j.parkreldis.2019.10.016.
Google Scholar | Crossref | Medline10. Debette, S, Schilling, S, Duperron, MG, et al. Clinical significance of magnetic resonance imaging markers of vascular brain injury: A systematic review and meta-analysis. JAMA Neurol 2019; 76(1): 81–94. DOI: 10.1001/jamaneurol.2018.3122.
Google Scholar | Crossref | Medline11. Moroni, F, Ammirati, E, Rocca, MA, et al. Cardiovascular disease and brain health: Focus on white matter hyperintensities. Int J Cardiol Heart Vasc 2018; 19: 63–69. DOI: 10.1016/j.ijcha.2018.04.006.
Google Scholar | Crossref | Medline12. Hughes, AJ, Daniel, SE, Kilford, L, et al. Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases. J Neurol Neurosurg Psychiatry 1992; 55(3): 181–184. DOI: 10.1136/jnnp.55.3.181.
Google Scholar | Crossref | Medline | ISI13. Piepoli, MF, Piepoli, MF, Hoes, AW, et al. 2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts): Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR). Eur J Prev Cardiol 2016; 23(29): NP1–2381. DOI: 10.1093/eurheartj/ehw106.
Google Scholar | Crossref | Medline14. Gregoire, SM, Chaudhary, UJ, Brown, MM, et al. The microbleed anatomical rating scale (MARS): Reliability of a tool to map brain microbleeds. Neurology 2009; 73(21): 1759–1766. DOI: 10.1212/WNL.0B013E3181C34A7D.
Google Scholar | Crossref | Medline15. Potter, GM, Chappell, FM, Morris, Z, et al. Cerebral perivascular spaces visible on magnetic resonance imaging: development of a qualitative rating scale and its observer reliability. Cerebrovasc Dis 2015; 39(3–4): 224–231. DOI: 10.1159/000375153.
Google Scholar | Crossref | Medline16. Sasaki, M, Shibata, E, Tohyama, K, et al. Neuromelanin magnetic resonance imaging of locus ceruleus and substantia nigra in Parkinson's disease. Neuroreport 2006; 17(11): 1215–1218. DOI: 10.1097/01.wnr.0000227984.84927.a7.
Google Scholar | Crossref | Medline17. Pantoni, L, Basile, AM, Pracucci, G, et al. Impact of age-related cerebral white matter changes on the transition to disability - the LADIS study: rationale, design and methodology. Neuroepidemiology 2005; 24(1–2): 51–62. DOI: 10.1159/000081050.
Google Scholar | Crossref | Medline18. Eldholm, RS, Persson, K, Barca, ML, et al. Association between vascular comorbidity and progression of Alzheimer's disease: a two-year observational study in Norwegian memory clinics. BMC Geriatr 2018; 18(1): 120–128. DOI: 10.1186/s12877-018-0813-4.
Google Scholar | Crossref | Medline19. Martí-Fàbregas, J, Medrano-Martorell, S, Merino, E, et al. MRI predicts intracranial hemorrhage in patients who receive long-term oral anticoagulation. Neurology 2019; 92(21): e2432–e2443. DOI: 10.1212/WNL.0000000000007532.
Google Scholar | Crossref | Medline20. Greenberg, SM, Vernooij, MW, Cordonnier, C, et al. Cerebral microbleeds: a guide to detection and interpretation. Lancet Neurol 2009; 8(2): 165–174. DOI: 10.1016/S1474-4422(09)70013-4.
Google Scholar | Crossref | Medline21. Wahlund, LO, Barkhof, F, Fazekas, F, et al. A new rating scale for age-related white matter changes applicable to MRI and CT. Stroke 2001; 32(6): 1318–1322. DOI: 10.1161/01.str.32.6.1318.
Google Scholar | Crossref | Medline | ISI22. Fazekas, F, Chawluk, JB, Alavi, A, et al. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJR Am J Roentgenol 1987; 149(2): 351–356. DOI: 10.2214/ajr.149.2.351.
Google Scholar | Crossref | Medline | ISI23. Doubal, FN, Maclullich, AMJ, Ferguson, KJ, et al. Enlarged Perivascular Spaces on MRI Are a Feature of Cerebral Small Vessel Disease. Stroke 2010; 41: 450–454. DOI: 10.1161/STROKEAHA.109.564914.
Google Scholar | Crossref | Medline | ISI24. Reimão, S, Pita Lobo, P, Neutel, D, et al. Quantitative analysis versus visual assessment of neuromelanin MR imaging for the diagnosis of Parkinson's disease. J Parkinsons Dis 2015; 5(3): 561–567. DOI: 10.3233/JPD-150551.
Google Scholar | Crossref | Medline25. Staals, J, Booth, T, Morris, Z, et al. Total MRI load of cerebral small vessel disease and cognitive ability in older people. Neurobiol Aging 2015; 36(10): 2806–2811. DOI: 10.1016/j.neurobiolaging.2015.06.024.
Google Scholar | Crossref | Medline26. Huang, YP, Chen, LS, Yen, MF, et al. Parkinson's disease is related to an increased risk of ischemic stroke-a population-based propensity score-matched follow-up study. PLoS One 2013; 8(9): e68314. DOI: 10.1371/journal.pone.0068314.
Google Scholar | Crossref | Medline27. Hong, CT, Hu, HH, Chan, L, et al. Prevalent cerebrovascular and cardiovascular disease in people with Parkinson's disease: a meta-analysis. Clin Epidemiol 2018; 10: 1147–1154. DOI: 10.2147/CLEP.S163493.
Google Scholar | Crossref | Medline28. Patel, M, Coutinho, C, Emsley, HC. Prevalence of radiological and clinical cerebrovascular disease in idiopathic Parkinson's disease. Clin Neurol Neurosurg 2011; 113(10): 830–834. DOI: 10.1016/j.clineuro.2011.05.014.
Google Scholar | Crossref | Medline29. Conroy, RM, Pyörälä, K, Fitzgerald, AP, et al. Estimation of ten-year risk of fatal cardiovascular disease in Europe: The SCORE project. Eur Heart J 2003; 24(11): 987–1003. DOI: 10.1016/S0195-668X(03)00114-3.
Google Scholar | Crossref | Medline | ISI30. Anderson, KM, Wilson, PW, Odell, PM, et al. An updated coronary risk profile. A statement for health professionals. Circulation 1991; 83(1): 356–362. DOI: 10.1161/01.CIR.83.1.356.
Google Scholar | Crossref | Medline | ISI31. Goff, DC, Lloyd-Jones, DM, Bennett, G, et al. 2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation 2013 2014; 129(25 Suppl. 1): S49–S73. DOI: 10.1161/01.cir.0000437741.48606.98.
Google Scholar | Crossref