In Vivo Imaging of Venous Side Cerebral Small-Vessel Disease in Older Adults: An MRI Method at 7T

References

1. 1.↵
   2. Prins ND,
   3. van Dijk EJ,
   4. den Heijer T, et al

   . Cerebral white matter lesions and the risk of dementia. Arch Neurol 2004;61:1531–34 doi:10.1001/archneur.61.10.1531 pmid:15477506

   CrossRefPubMedWeb of Science
2. 2.↵
   2. Rosano C,
   3. Aizenstein HJ,
   4. Wu M, et al

   . Focal atrophy and cerebrovascular disease increase dementia risk among cognitively normal older adults. J Neuroimaging 2007;17:148–55 doi:10.1111/j.1552-6569.2007.00093.x pmid:17441836

   CrossRefPubMedWeb of Science
3. 3.↵
   2. Wardlaw JM,
   3. Valdés Hernández MC,
   4. Muñoz-Maniega S

   . What are white matter hyperintensities made of? Relevance to vascular cognitive impairment. J Am Heart Assoc 2015;4:001140 doi:10.1161/JAHA.114.001140 pmid:26104658

   CrossRefPubMed
4. 4.↵
   2. Bechmann I,
   3. Galea I,
   4. Perry VH

   . What is the blood-brain barrier (not)? Trends Immunol 2007;28:5–11 doi:10.1016/j.it.2006.11.007 pmid:17140851

   CrossRefPubMedWeb of Science
5. 5.↵
   2. Bouvy WH,
   3. Kuijf HJ,
   4. Zwanenburg JJ, et al

   ; Utrecht Vascular Cognitive Impairment (VCI) Study group. Abnormalities of cerebral deep medullary veins on 7 Tesla MRI in amnestic mild cognitive impairment and early Alzheimer's disease: a pilot study. J Alzheimers Dis 2017;57:705–10 doi:10.3233/JAD-160952 pmid:28282806

   CrossRefPubMed
6. 6.↵
   2. Fazekas F,
   3. Kleinert R,
   4. Offenbacher H, et al

   . Pathologic correlates of incidental MRI white matter signal hyperintensities. Neurology 1993;43:1683–89 doi:10.1212/WNL.43.9.1683 pmid:8414012

   Abstract/FREE Full Text
7. 7.↵
   2. Pettersen JA,
   3. Keith J,
   4. Gao F, et al

   . CADASIL accelerated by acute hypotension: arterial and venous contribution to leukoaraiosis. Neurology 2017;88:1077–80 doi:10.1212/WNL.0000000000003717 pmid:28202707

   Abstract/FREE Full Text
8. 8.↵
   2. Moody DM,
   3. Brown WR,
   4. Challa VR, et al

   . Periventricular venous collagenosis: association with leukoaraiosis. Radiology 1995;194:469–76 doi:10.1148/radiology.194.2.7824728 pmid:7824728

   CrossRefPubMedWeb of Science
9. 9.↵
   2. Haacke EM,
   3. Mittal S,
   4. Wu Z, et al

   . Susceptibility-weighted imaging: technical aspects and clinical applications, Part 1. AJNR Am J Neuroradiol 2009;30:19–30 pmid:19039041

   Abstract/FREE Full Text
10. 10.↵
    2. Mittal S,
    3. Wu Z,
    4. Neelavalli J, et al

    . Susceptibility-weighted imaging: technical aspects and clinical applications, Part 2. AJNR Am J Neuroradiol 2009;30:232–52 pmid:19131406

    Abstract/FREE Full Text
11. 11.↵
    2. Sinnecker T,
    3. Bozin I,
    4. Dorr J, et al

    . Periventricular venous density in multiple sclerosis is inversely associated with T2 lesion count: a 7 Tesla MRI study. Mult Scler 2013;19:316–25 doi:10.1177/1352458512451941 pmid:22736752

    CrossRefPubMed
12. 12.↵
    2. Novelli EM,
    3. Elizabeth Sarles C,
    4. Jay Aizenstein H, et al

    . Brain venular pattern by 7T MRI correlates with memory and haemoglobin in sickle cell anaemia. Psychiatry Res 2015;233:18–22 doi:10.1016/j.pscychresns.2015.04.005 pmid:26002434

    CrossRefPubMed
13. 13.↵
    2. De Guio F,
    3. Vignaud A,
    4. Ropele S, et al

    . Loss of venous integrity in cerebral small vessel disease: a 7-T MRI study in Cerebral Autosomal-Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL). Stroke 2014;45:2124–26 doi:10.1161/STROKEAHA.114.005726 pmid:24867926

    Abstract/FREE Full Text
14. 14.↵
    2. Kuijf HJ,
    3. Bouvy WH,
    4. Zwanenburg JJ, et al

    . Quantification of deep medullary veins at 7 T brain MRI. Eur Radiol 2016;26:3412–18 doi:10.1007/s00330-016-4220-y pmid:26883328

    CrossRefPubMed
15. 15.↵
    2. Pahor M,
    3. Guralnik JM,
    4. Ambrosius WT, et al

    ; LIFE study investigators. Effect of structured physical activity on prevention of major mobility disability in older adults: the LIFE study randomized clinical trial. JAMA 2014;311:2387–96 doi:10.1001/jama.2014.5616 pmid:24866862

    CrossRefPubMedWeb of Science
16. 16.↵
    2. Fielding RA,
    3. Rejeski WJ,
    4. Blair S, et al

    ; LIFE Research Group. The Lifestyle Interventions and Independence for Elders Study: design and methods. J Gerontol A Biol Sci Med Sci 2011;66:1226–37 doi:10.1093/gerona/glr123 pmid:21825283

    CrossRefPubMedWeb of Science
17. 17.↵
    2. Sedlacik J,
    3. Helm K,
    4. Rauscher A, et al

    . Investigations on the effect of caffeine on cerebral venous vessel contrast by using susceptibility-weighted imaging (SWI) at 1.5, 3 and 7 T. Neuroimage 2008;40:11–18 doi:10.1016/j.neuroimage.2007.11.046 pmid:18226553

    CrossRefPubMed
18. 18.↵
    2. de Leeuw FE,
    3. de Groot JC,
    4. Achten E, et al

    . Prevalence of cerebral white matter lesions in elderly people: a population based magnetic resonance imaging study—the Rotterdam Scan Study. J Neurol Neurosurg Psychiatry 2001;70:9–14 doi:10.1136/jnnp.70.1.9 pmid:11118240

    Abstract/FREE Full Text
19. 19.↵
    2. Gao S,
    3. Hendrie HC,
    4. Hall KS, et al

    . The relationships between age, sex, and the incidence of dementia and Alzheimer disease: a meta-analysis. Arch Gen Psychiatry 1998;55:809–15 doi:10.1001/archpsyc.55.9.809 pmid:9736007

    CrossRefPubMedWeb of Science
20. 20.↵
    2. Liao D,
    3. Cooper L,
    4. Cai J, et al

    . The prevalence and severity of white matter lesions, their relationship with age, ethnicity, gender, and cardiovascular disease risk factors: the ARIC Study. Neuroepidemiology 1997;16:149–62 pmid:9159770

    CrossRefPubMedWeb of Science
21. 21.↵
    2. Lindsay J,
    3. Laurin D,
    4. Verreault R, et al

    . Risk factors for Alzheimer's disease: a prospective analysis from the Canadian Study of Health and Aging. Am J Epidemiol 2002;156:445–53 doi:10.1093/aje/kwf074 pmid:12196314

    CrossRefPubMedWeb of Science
22. 22.↵
    2. Steenland K,
    3. Goldstein FC,
    4. Levey A, et al

    . A meta-analysis of Alzheimer's disease incidence and prevalence comparing African-Americans and Caucasians. J Alzheimers Dis 2015;50:71–76 doi:10.3233/JAD-150778 pmid:26639973

    CrossRefPubMed
23. 23.↵
    2. Cavallari LH,
    3. Langaee TY,
    4. Momary KM, et al

    . Genetic and clinical predictors of warfarin dose requirements in African Americans. Clin Pharmacol Ther 2010;87:459–64 doi:10.1038/clpt.2009.223 pmid:20072124

    CrossRefPubMedWeb of Science
24. 24.↵
    2. Bertram L,
    3. McQueen MB,
    4. Mullin K, et al

    . Systematic meta-analyses of Alzheimer disease genetic association studies: the AlzGene database. Nat Genet 2007;39:17–23 doi:10.1038/ng1934 pmid:17192785

    CrossRefPubMedWeb of Science
25. 25.↵
    2. Beydoun MA,
    3. Beydoun HA,
    4. Gamaldo AA, et al

    . Epidemiologic studies of modifiable factors associated with cognition and dementia: systematic review and meta-analysis. BMC Public Health 2014;14:643 doi:10.1186/1471-2458-14-643 pmid:24962204

    CrossRefPubMed
26. 26.↵
    2. Qiu C,
    3. Winblad B,
    4. Viitanen M, et al

    . Pulse pressure and risk of Alzheimer disease in persons aged 75 years and older: a community-based, longitudinal study. Stroke 2003;34:594–99 doi:10.1161/01.STR.0000060127.96986.F4 pmid:12624277

    Abstract/FREE Full Text
27. 27.↵
    2. Mitchell GF,
    3. van Buchem MA,
    4. Sigurdsson S, et al

    . Arterial stiffness, pressure and flow pulsatility and brain structure and function: the Age, Gene/Environment Susceptibility–Reykjavik study. Brain 2011;134(pt 11):3398–407 doi:10.1093/brain/awr253 pmid:22075523

    CrossRefPubMedWeb of Science
28. 28.↵
    2. Torres ER,
    3. Strack EF,
    4. Fernandez CE, et al

    . Physical activity and white matter hyperintensities: a systematic review of quantitative studies. Prev Med Rep 2015;2:319–25 doi:10.1016/j.pmedr.2015.04.013 pmid:26046015

    CrossRefPubMed
29. 29.↵
    2. Teng EL,
    3. Chui HC

    . The Modified Mini-Mental State (3MS) examination. J Clin Psychiatry 1987;48:314–18 pmid:3611032

    PubMedWeb of Science
30. 30.↵
    2. Gerhardt H

    . VEGF and endothelial guidance in angiogenic sprouting. Organogenesis 2008;4:241–46 doi:10.4161/org.4.4.7414 pmid:19337404

    CrossRefPubMed
31. 31.↵
    2. Alhusban A,
    3. Kozak A,
    4. Ergul A, et al

    . AT1 receptor antagonism is proangiogenic in the brain: BDNF a novel mediator. J Pharmacol Exp Ther 2013;344:348–59 doi:10.1124/jpet.112.197483 pmid:23211364

    Abstract/FREE Full Text
32. 32.↵
    2. Dvergsten JA,
    3. Mueller RG,
    4. Griffin P, et al

    . Premature cell senescence and T cell receptor-independent activation of CD8+ T cells in juvenile idiopathic arthritis. Arthritis Rheum 2013;65:2201–10 doi:10.1002/art.38015 pmid:23686519

    CrossRefPubMed
33. 33.↵
    2. Rosset A,
    3. Spadola L,
    4. Ratib O

    . OsiriX: an open-source software for navigating in multidimensional DICOM images. J Digit Imaging 2004;17:205–16 doi:10.1007/s10278-004-1014-6 pmid:15534753

    CrossRefPubMedWeb of Science
34. 34.↵
    2. Fazekas F,
    3. Chawluk JB,
    4. Alavi A, et al

    . MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJR Am J Roentgenol 1987;149:351–56 doi:10.2214/ajr.149.2.351 pmid:3496763

    CrossRefPubMedWeb of Science
35. 35.↵
    2. DeCarli C,
    3. Fletcher E,
    4. Ramey V, et al

    . Anatomical mapping of white matter hyperintensities (WMH): exploring the relationships between periventricular WMH, deep WMH, and total WMH burden. Stroke 2005;36:50–55 doi:10.1161/01.STR.0000150668.58689.f2 pmid:15576652

    Abstract/FREE Full Text
36. 36.↵
    2. Greenberg SM,
    3. Vernooij MW,
    4. Cordonnier C, et al

    ; Microbleed Study Group. Cerebral microbleeds: a guide to detection and interpretation. Lancet Neurol 2009;8:165–74 doi:10.1016/S1474-4422(09)70013-4 pmid:19161908

    CrossRefPubMedWeb of Science
37. 37.↵
    The SAS System for Windows [computer progam]. Cary: SAS Institute; 2013
38. 38.↵
    IBM SPSS Statistics for Windows [computer progam]. Version 22.0. Armonk: IBM; 2013
39. 39.↵
    ALZFORUM. AlzGene: Meta-Analysis of All Published AD Association Studies (Case-Control Only) APOE_e2/3/4 2010; http://www.alzgene.org/meta.asp?geneID=83. Accessed September 16, 2016.
40. 40.↵
    2. Cheung CY,
    3. Ong YT,
    4. Ikram MK, et al

    . Microvascular network alterations in the retina of patients with Alzheimer's disease. Alzheimers Dement 2014;10:135–42 doi:10.1016/j.jalz.2013.06.009 pmid:24439169

    CrossRefPubMedWeb of Science
41. 41.↵
    2. Lai AY,
    3. Dorr A,
    4. Thomason LA, et al

    . Venular degeneration leads to vascular dysfunction in a transgenic model of Alzheimer's disease. Brain 2015;138(pt 4):1046–58 doi:10.1093/brain/awv023 pmid:25688079

    CrossRefPubMed
42. 42.↵
    2. Zlokovic BV

    . Cerebrovascular effects of apolipoprotein E: implications for Alzheimer disease. JAMA Neurol 2013;70:440–44 doi:10.1001/jamaneurol.2013.2152 pmid:23400708

    CrossRefPubMed
43. 43.↵
    2. Brickman AM,
    3. Schupf N,
    4. Manly JJ, et al

    . APOE ε4 and risk for Alzheimer's disease: do regionally distributed white matter hyperintensities play a role? Alzheimers Dement 2014;10:619–29 doi:10.1016/j.jalz.2014.07.155 pmid:25304991

    CrossRefPubMed
44. 44.↵
    2. Yates PA,
    3. Villemagne VL,
    4. Ellis KA, et al

    . Cerebral microbleeds: a review of clinical, genetic, and neuroimaging associations. Front Neurol 2014;4:205 doi:10.3389/fneur.2013.00205 pmid:24432010

    CrossRefPubMed
45. 45.↵
    2. Hawkes CA,
    3. Sullivan PM,
    4. Hands S, et al

    . Disruption of arterial perivascular drainage of amyloid-beta from the brains of mice expressing the human APOE epsilon4 allele. PLoS One 2012;7:e41636 doi:10.1371/journal.pone.0041636 pmid:22848551

    CrossRefPubMed
46. 46.↵
    2. Zipser BD,
    3. Johanson CE,
    4. Gonzalez L, et al

    . Microvascular injury and blood-brain barrier leakage in Alzheimer's disease. Neurobiol Aging. 2007;28:977–86 doi:10.1016/j.neurobiolaging.2006.05.016 pmid:16782234

    CrossRefPubMedWeb of Science