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Research ArticleBrain
Open Access

Morphologic, Distributional, Volumetric, and Intensity Characterization of Periventricular Hyperintensities

M.C. Valdés Hernández, R.J. Piper, M.E. Bastin, N.A. Royle, S. Muñoz Maniega, B.S. Aribisala, C. Murray, I.J. Deary and J.M. Wardlaw
American Journal of Neuroradiology January 2014, 35 (1) 55-62; DOI: https://doi.org/10.3174/ajnr.A3612
M.C. Valdés Hernández
aFrom the Brain Research Imaging Centre (M.C.V.H., M.E.B., N.A.R., S.M.M., B.S.A., J.M.W.)
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R.J. Piper
bCollege of Medicine and Veterinary Medicine (R.J.P.)
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M.E. Bastin
aFrom the Brain Research Imaging Centre (M.C.V.H., M.E.B., N.A.R., S.M.M., B.S.A., J.M.W.)
cDivision of Health Sciences (Medical Physics) (M.E.B.)
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N.A. Royle
aFrom the Brain Research Imaging Centre (M.C.V.H., M.E.B., N.A.R., S.M.M., B.S.A., J.M.W.)
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S. Muñoz Maniega
aFrom the Brain Research Imaging Centre (M.C.V.H., M.E.B., N.A.R., S.M.M., B.S.A., J.M.W.)
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B.S. Aribisala
aFrom the Brain Research Imaging Centre (M.C.V.H., M.E.B., N.A.R., S.M.M., B.S.A., J.M.W.)
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C. Murray
dDepartment of Psychology (C.M., I.J.D.), University of Edinburgh, Edinburgh, UK.
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I.J. Deary
dDepartment of Psychology (C.M., I.J.D.), University of Edinburgh, Edinburgh, UK.
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J.M. Wardlaw
aFrom the Brain Research Imaging Centre (M.C.V.H., M.E.B., N.A.R., S.M.M., B.S.A., J.M.W.)
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REFERENCES

  1. 1.↵
    1. Wen W,
    2. Sachdev P
    . The topography of white matter hyperintensities on brain MRI in healthy 60- to 64-year-old individuals. Neuroimage 2004;22:144–54
    CrossRefPubMedWeb of Science
  2. 2.↵
    1. Fazekas F,
    2. Chawluk JB,
    3. Alavi A,
    4. et al
    . MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJR Am J Roentgenol 1987;149:351–56
    CrossRefPubMedWeb of Science
  3. 3.↵
    1. Krishnan KR,
    2. Boyko OB,
    3. McDonald WM,
    4. et al
    . Magnetic-resonance morphometry: Image-analysis methodology development for affective disorder. Depression 1993;1:159–71
  4. 4.↵
    1. Brickman AM,
    2. Sneed JR,
    3. Provenzano FA,
    4. et al
    . Quantitative approaches for assessment of white matter hyperintensities in elderly populations. Psychiatry Res 2011;193:101–06
    CrossRefPubMedWeb of Science
  5. 5.↵
    1. Payne ME,
    2. Fetzer DL,
    3. MacFall JR,
    4. et al
    . Development of a semi-automated method for quantification of MRI gray and white matter lesions in geriatric subjects. Psychiatry Res 2002;115:63–77
    CrossRefPubMedWeb of Science
  6. 6.↵
    1. Kim KW,
    2. MacFall JR,
    3. Payne ME
    . Classification of white matter lesions on magnetic resonance imaging in elderly persons. Biol Psychiatry 2008;64:273–80
    CrossRefPubMed
  7. 7.↵
    1. Ramirez J,
    2. Gibson E,
    3. Quddus A,
    4. et al
    . Lesion Explorer: a comprehensive segmentation and parcellation package to obtain regional volumetrics for subcortical hyperintensities and intracranial tissue. Neuroimage 2011;54:963–73
    CrossRefPubMed
  8. 8.↵
    1. Sachdev P,
    2. Chen X,
    3. Wen W
    . White matter hyperintensities in mid-adult life. Curr Opin Psychiatry 2008;21:268–74
    CrossRefPubMedWeb of Science
  9. 9.↵
    1. van der Lijn F,
    2. Verhaaren BF,
    3. Ikram MA,
    4. et al
    . Automated measurement of local white matter lesion volume. Neuroimage 2012;59:3901–08
    CrossRefPubMedWeb of Science
  10. 10.↵
    1. Ge Y,
    2. Grossman RI,
    3. Babb JS,
    4. et al
    . Dirty-appearing white matter in multiple sclerosis: volumetric MR imaging and magnetization transfer ratio histogram analysis. AJNR Am J Neuroradiol 2003;24:1935–40
    Abstract/FREE Full Text
  11. 11.↵
    1. Appelman AP,
    2. Vincken KL,
    3. van der Graaf Y,
    4. et al
    . White matter lesions and lacunar infarcts are independently and differently associated with brain atrophy: the SMART-MR study. Cerebrovasc Dis 2010;29:28–35
    CrossRefPubMed
  12. 12.↵
    1. DeCarli C,
    2. Fletcher E,
    3. Ramey V,
    4. 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
    Abstract/FREE Full Text
  13. 13.↵
    1. Deary IJ,
    2. Gow AJ,
    3. Taylor MD,
    4. et al
    . The Lothian Birth Cohort 1936: a study to examine influences on cognitive ageing from age 11 to age 70 and beyond. BMC Geriatr 2007;7:28
    CrossRefPubMed
  14. 14.↵
    1. Wardlaw JM,
    2. Bastin ME,
    3. Valdés Hernández MC,
    4. et al
    . Brain aging, cognition in youth and old age and vascular disease in the Lothian Birth Cohort 1936: rationale, design and methodology of the imaging protocol. Int J Stroke 2011;6:547–59
    CrossRefPubMedWeb of Science
  15. 15.↵
    1. van Straaten EC,
    2. Fazekas F,
    3. Rostrup E,
    4. et al
    . Impact of white matter hyperintensities scoring method on correlations with clinical data: the LADIS study. Stroke 2006;37:836–40
    Abstract/FREE Full Text
  16. 16.↵
    1. Enzinger C,
    2. Fazekas F,
    3. Ropele S,
    4. et al
    . Progression of cerebral white matter lesions: clinical and radiological considerations. J Neurol Sci 2007;257:5–10
    CrossRefPubMed
  17. 17.↵
    1. Conijn MM,
    2. Kloppenborg RP,
    3. Algra A,
    4. et al
    . Cerebral small vessel disease and risk of death, ischemic stroke, and cardiac complications in patients with atherosclerotic disease: the Second Manifestations of ARTerial disease-Magnetic Resonance (SMART-MR) study. Stroke 2011;42:3105–09
    Abstract/FREE Full Text
  18. 18.↵
    1. Moore GR,
    2. Laule C,
    3. Mackay A,
    4. et al
    . Dirty-appearing white matter in multiple sclerosis: preliminary observations of myelin phospholipid and axonal loss. J Neurol 2008;255:1802–12, discussion 1812
    CrossRefPubMedWeb of Science
  19. 19.↵
    1. Filippi M,
    2. Rocca MA
    . Dirty-appearing white matter: a disregarded entity in multiple sclerosis. AJNR Am J Neuroradiol 2010;31:90–91
    CrossRef
  20. 20.↵
    1. Valdés Hernández MC,
    2. Morris Z,
    3. Dickie DA,
    4. et al
    . Close correlation between quantitative and qualitative assessments of white matter lesions. Neuroepidemiology 2013;40:13–22
    CrossRefPubMedWeb of Science
  21. 21.↵
    1. Hernández MC,
    2. Ferguson KJ,
    3. Chappell FM,
    4. et al
    . New multispectral MRI data fusion technique for white matter lesion segmentation: method and comparison with thresholding in FLAIR images. Eur Radiol 2010;20:1684–91
    CrossRefPubMed
  22. 22.↵
    1. Bakshi R,
    2. Caruthers SD,
    3. Janardhan V,
    4. et al
    . Intraventricular CSF pulsation artifact on fast fluid-attenuated inversion-recovery MR images: analysis of 100 consecutive normal studies. AJNR Am J Neuroradiol 2000;21:503–08
    Abstract/FREE Full Text
  23. 23.↵
    1. Mayer PL,
    2. Kier EL
    . The controversy of the periventricular white matter circulation: a review of the anatomic literature. AJNR Am J Neuroradiol 1991;12:223–28
    FREE Full Text
  24. 24.↵
    1. Jongen C,
    2. van der Grond J,
    3. Anbeek P,
    4. et al
    . Construction of periventricular white matter hyperintensity maps by spatial normalization of the lateral ventricles. Hum Brain Mapp 2009;30:2056–62
    CrossRefPubMed
  25. 25.↵
    1. Murray AD,
    2. Staff RT,
    3. Shenkin SD,
    4. et al
    . Brain white matter hyperintensities: relative importance of vascular risk factors in nondemented elderly people. Radiology 2005;237:251–57
    CrossRefPubMedWeb of Science
  26. 26.↵
    1. Godin O,
    2. Tzourio C,
    3. Maillard P,
    4. et al
    . Antihypertensive treatment and change in blood pressure are associated with the progression of white matter lesion volumes: the Three-City (3C)-Dijon Magnetic Resonance Imaging Study. Circulation 2011;123:266–73
    Abstract/FREE Full Text
  27. 27.↵
    1. de Leeuw FE,
    2. de Groot JC,
    3. Oudkerk M,
    4. et al
    . Hypertension and cerebral white matter lesions in a prospective cohort study. Brain 2002;125:765–72
    Abstract/FREE Full Text
  28. 28.↵
    1. Pantoni L,
    2. Garcia JH
    . Pathogenesis of leukoaraiosis: a review. Stroke 1997;28:652–59
    Abstract/FREE Full Text
  29. 29.↵
    1. De Groot CJ,
    2. Bergers E,
    3. Kamphorst W,
    4. et al
    . Post-mortem MRI-guided sampling of multiple sclerosis brain lesions: increased yield of active demyelinating and (p) reactive lesions. Brain 2001;124:1635–45
    Abstract/FREE Full Text
  30. 30.↵
    1. Admiraal-Behloul F,
    2. van den Heuvel DM,
    3. Olofsen H,
    4. et al
    . Fully automatic segmentation of white matter hyperintensities in MR images of the elderly. Neuroimage 2005;28:607–17
    CrossRefPubMedWeb of Science
  31. 31.↵
    1. Klöppel S,
    2. Abdulkadir A,
    3. Hadjidemetriou S,
    4. et al
    . A comparison of different automated methods for the detection of white matter lesions in MRI data. Neuroimage 2011;57:416–22
    CrossRefPubMedWeb of Science
  32. 32.↵
    1. McAleese KE,
    2. Firbank M,
    3. Hunter D,
    4. et al
    . Magnetic resonance imaging of fixed post mortem brains reliably reflects subcortical vascular pathology of frontal, parietal and occipital white matter. Neuropathol Appl Neurobiol 2013;39:485–97
    CrossRefPubMed
  33. 33.↵
    1. Scully M,
    2. Anderson B,
    3. Lane T,
    4. et al
    . An automated method for segmenting white matter lesions through multi-level morphometric feature classification with application to lupus. Front Hum Neurosci 2010;4:27
    PubMed
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M.C. Valdés Hernández, R.J. Piper, M.E. Bastin, N.A. Royle, S. Muñoz Maniega, B.S. Aribisala, C. Murray, I.J. Deary, J.M. Wardlaw
Morphologic, Distributional, Volumetric, and Intensity Characterization of Periventricular Hyperintensities
American Journal of Neuroradiology Jan 2014, 35 (1) 55-62; DOI: 10.3174/ajnr.A3612

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Morphologic, Distributional, Volumetric, and Intensity Characterization of Periventricular Hyperintensities
M.C. Valdés Hernández, R.J. Piper, M.E. Bastin, N.A. Royle, S. Muñoz Maniega, B.S. Aribisala, C. Murray, I.J. Deary, J.M. Wardlaw
American Journal of Neuroradiology Jan 2014, 35 (1) 55-62; DOI: 10.3174/ajnr.A3612
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