FLAIR and diffusion MRI signals are independent predictors of white matter hyperintensities

American Journal of Neuroradiology

Volumn 34, Issue 1, 2013, Pages 54-61

  Maillard, P ^a,b   Carmichael, O ^a,b   Harvey, D ^b   Fletcher, E ^a,b   Reed, B ^a,b   Mungas, D ^a,b   DeCarli, C ^a,b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; BRAIN REGION; DIFFUSION WEIGHTED IMAGING; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; RISK FACTOR; SENSITIVITY AND SPECIFICITY; WHITE MATTER; WHITE MATTER HYPERINTENSITY;

EID: 84873629627     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A3146     Document Type: Article

References (40)

1. DeCarli C, Murphy DG, Tranh M, et al. The effect of white matter hyperintensity volume on brain structure, cognitive performance, and cerebral metabolism of glucose in 51 healthy adults. Neurology 1995;45:2077-84
2. O'Brien J, Desmond P, Ames D, et al. A magnetic resonance imaging study of white matter lesions in depression and Alzheimer's disease. Br J Psychiatry 1996;168:477-85
3. Buckner RL. Memory and executive function in aging and AD: multiple factors that cause decline and reserve factors that compensate. Neuron 2004;44:195-208
4. DeCarli C, Miller BL, Swan GE, et al. Cerebrovascular and brain morphologic correlates of mild cognitive impairment in the National Heart, Lung, and Blood Institute Twin Study. Arch Neurol 2001;58:643-47
5. Nordahl CW, Ranganath C, Yonelinas AP, et al. White matter changes compromise prefrontal cortex function in healthy elderly individuals. J Cogn Neurosci 2006;18:418-29
6. Nordahl CW, Ranganath C, Yonelinas AP, et al. Different mechanisms of episodic memory failure in mild cognitive impairment. Neuropsychologia 2005;43:1688-97
7. Yoshita M, Fletcher E, Harvey D, et al. Extent and distribution of white matter hyperintensities in normal aging, MCI, and AD. Neurology 2006;67:2192-98
8. Lee DY, Fletcher E, Martinez O, et al. Regional pattern of white matter microstructural changes in normal aging, MCI, and AD. Neurology 2009;73:1722-28
9. Charlton RA, Barrick TR, McIntyre DJ, et al. White matter damage on diffusion tensor imaging correlates with age-related cognitive decline. Neurology 2006;66:217-22
10. Charlton RA, Schiavone F, Barrick TR, et al. Diffusion tensor imaging detects age related white matter change over a 2 year follow-up which is associated with working memory decline. J Neurol Neurosurg Psychiatry 2010;81:13-19
11. Au R, Massaro JM, Wolf PA, et al. Association of white matter hyperintensity volume with decreased cognitive functioning: the Framingham Heart Study. Arch Neurol 2006;63:246-50
12. van Straaten EC, Harvey D, Scheltens P, et al. Periventricular white matter hyperintensities increase the likelihood of progression from amnestic mild cognitive impairment to dementia. J Neurol 2008;255:1302-08
13. Debette S, Seshadri S, Beiser A, et al. Midlife vascular risk factor exposure accelerates structural brain aging and cognitive decline. Neurology 2011;77:461-68
14. Debette S, Beiser A, Decarli C, et al. Association of MRI markers of vascular brain injury with incident stroke, mild cognitive impairment, dementia, and mortality: the Framingham Offspring Study. Stroke 2010;41:600-06
15. Neal B, MacMahon S. PROGRESS (Perindopril Protection Against Recurrent Stroke Study): rationale and design - PROGRESS Management Committee [corrected]. J Hypertens 1995;13(12 pt 2):1869-73
16. Tzourio C, Anderson C. Blood pressure reduction and risk of dementia in patients with stroke: rationale of the dementia assessment in PROGRESS (Perindopril Protection Against Recurrent Stroke Study) - PROGRESS Management Committee. J Hypertens Suppl 2000;18:S21-24
17. Maillard P, Fletcher E, Harvey D, et al. White matter hyperintensity penumbra. Stroke 2011;42:1917-22
18. Wen W, Sachdev P. The topography of white matter hyperintensities on brain MRI in healthy 60-to 64-year-old individuals. Neuroimage 2004;22:144-54
19. Lee DY, Fletcher E, Martinez O, et al. Vascular and degenerative processes differentially affect regional interhemispheric connections in normal aging, mild cognitive impairment, and Alzheimer disease. Stroke 2010;41:1791-97
20. Sullivan E, Pfefferbaum A. Diffusion tensor imaging and aging. Neurosci Biobehav Rev 2006;30:749-61
21. Teipel SJ, Meindl T, Wagner M, et al. Longitudinal changes in fiber tract integrity in healthy aging and mild cognitive impairment: a DTI follow-up study. J Alzheimers Dis 2010;22:507-22
22. Sullivan EV, Rohlfing T, Pfefferbaum A. Longitudinal study of callosal microstructure in the normal adult aging brain using quantitative DTI fiber tracking. Dev Neuropsychol 2010;35:233-56
23. Cheng YW, Chung HW, Chen CY, et al. Diffusion tensor imaging with cerebrospinal fluid suppression and signal-to-noise preservation using acquisition combining fluid-attenuated inversion recovery and conventional imaging: comparison of fiber tracking. Eur J Radiol 2010;79:113-17
24. McKhann G, Drachman D, Folstein M, et al. 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 1984;34:939-44
25. Winblad B, Palmer K, Kivipelto M, et al. Mild cognitive impairment: beyond controversies, towards a consensus - report of the International Working Group on Mild Cognitive Impairment. J Intern Med 2004;256:240-46
26. Carmichael O, Mungas D, Beckett L, et al. MRI predictors of cognitive change in a diverse and carefully characterized elderly population. Neurobiol Aging 2010;33:83-95
27. Haselgrove JC, Moore Jr. Correction for distortion of echo-planar images used to calculate the apparent diffusion coefficient. Magn Reson Med 1996;36:960-64
28. DeCarli C, Fletcher E, Ramey V, et al. Anatomical mapping of white matter hyperintensities (WMH): exploring the relationships between periventricular WMH, deep WMH, and totalWMHburden. Stroke 2005;36:50-55
29. Kochunov P, Lancaster JL, Thompson P, et al. Regional spatial normalization: toward an optimal target. J Comput Assist Tomogr 2001;25:805-16
30. Rajapakse JC, DeCarli C, McLaughlin A, et al. Cerebral magnetic resonance image segmentation using data fusion. J Comput Assist Tomogr 1996;20:206-18
31. Gouw AA, van der Flier WM, Fazekas F, et al. Progression of white matter hyperintensities and incidence of new lacunes over a 3-year period: the Leukoaraiosis and Disability Study. Stroke 2008;39:1414-20
32. Nitkunan A, Barrick TR, Charlton RA, et al. Multimodal MRI in cerebral small vessel disease: its relationship with cognition and sensitivity to change over time. Stroke 2008;39:1999-2005
33. Bronge L. Magnetic resonance imaging in dementia: a study of brain white matter changes. Acta Radiol Suppl 2002:1-32
34. Sachdev P, Wen W, Shnier R, et al. Cerebral blood volume in T2-weighted white matter hyperintensities using exogenous contrast based perfusion MRI. J Neuropsychiatry Clin Neurosci 2004;16:83-92
35. Hashemi RH, Bradley WG, Lisanti CJ. MRI: The Basics. Philadelphia: Lippincott Williams & Wilkins; 2010
36. Kim K, Macfall J, Payne M. Classification of white matter lesions on magnetic resonance imaging in elderly persons. Biol Psychiatry 2008;64:273-80
37. Godin O, Tzourio C, Maillard P, 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
38. Schmidt R, Grazer A, Enzinger C, et al. MRI-detected white matter lesions: do they really matter? J Neural Transm 2011;118:673-81
39. Xu H, Stamova B, Jickling G, et al. Distinctive RNA expression profiles in blood associated with white matter hyperintensities in brain. Stroke 2010;41:2744-49
40. Aggarwal NT, Wilson RS, Bienias JL, et al. The association of magnetic resonance imaging measures with cognitive function in a biracial population sample. Arch Neurol 2010;67:475-82