Diffuse Tract Damage in the Hemispheric Deep White Matter May Correlate with Global Cognitive Impairment and Callosal Atrophy in Patients with Extensive Leukoaraiosis

References

1. 1.↵
   1. Hachinski VC,
   2. Potter P,
   3. Merskey H

   . Leuko-araiosis. Arch Neurol 1987;44: 21–23

   CrossRefPubMedWeb of Science
2. 2.↵
   1. van der Flier W,
   2. van Straaten E,
   3. Barkhof F,
   4. et al.

   , on behalf of the LADIS Study group. Small vessel disease and general cognitive function in non-disabled elderly: the LADIS Study. Stroke 2005;36: 2116–20

   Abstract/FREE Full Text
3. 3.↵
   1. Schmidt R,
   2. Ropele S,
   3. Ferro J,
   4. et al.

   , on behalf of the LADIS Study group. Diffusion-weighted imaging and cognition in the leukoaraiosis and disability in the elderly study. Stroke 2010;41: e402–08

   Abstract/FREE Full Text
4. 4.↵
   1. Roman GC

   . Senile dementia of the Binswanger type: a vascular form of dementia in the elderly. JAMA 1987;258: 1872–88

   CrossRefPubMed
5. 5.↵
   1. Bennett DA,
   2. Wilson RS,
   3. Gilley DW,
   4. et al

   . Clinical diagnosis of Binswanger's disease. J Neurol Neurosurg Psychiatry 1990;53: 961–65

   Abstract/FREE Full Text
6. 6.↵
   1. Jokinen H,
   2. Kalska H,
   3. Ylikoski R,
   4. et al.

   , on behalf of the LADIS Study group. Longitudinal cognitive decline in subcortical ischemic vascular disease: the LADIS Study. Cerebrovasc Dis 2009;27: 384–91

   CrossRefPubMedWeb of Science
7. 7.↵
   1. O'Sullivan M,
   2. Morris RG,
   3. Huckstep B,
   4. et al

   . Diffusion tensor MRI correlates with executive dysfunction in patients with ischaemic leukoaraiosis. J Neurol Neurosurg Psychiatry 2004;75: 441–47

   Abstract/FREE Full Text
8. 8.↵
   1. Yamauchi H,
   2. Fukuyama H,
   3. Ogawa M,
   4. et al

   . Callosal atrophy in patients with lacunar infarction and extensive leukoaraiosis: an indicator of cognitive impairment. Stroke 1994;25: 1788–93

   Abstract/FREE Full Text
9. 9.↵
   1. Yamauchi H,
   2. Fukuyama H,
   3. Shio H

   . Corpus callosum atrophy in patients with leuko-araiosis may indicate global cognitive impairment. Stroke 2000;31: 1515–20

   Abstract/FREE Full Text
10. 10.↵
    1. Yamanouchi H,
    2. Sugiura S,
    3. Tomonaga M

    . Decrease in nerve fiber in cerebral white matter in progressive subcortical vascular encephalopathy of Binswanger type: an electron microscopic study. J Neurol 1989;236: 382–87

    CrossRefPubMedWeb of Science
11. 11.↵
    1. Beaulieu C

    . The basis of anisotropic water diffusion in the nervous system: a technical review. NMR Biomed. 2002;15: 435–55

    CrossRefPubMedWeb of Science
12. 12.↵
    1. Della Nave R,
    2. Foresti S,
    3. Pratesi A,
    4. et al

    . Whole-brain histogram and voxel-based analyses of diffusion tensor imaging in patients with leukoaraiosis: correlation with motor and cognitive impairment. AJNR Am J Neuroradiol 2007;28: 1313–19

    Abstract/FREE Full Text
13. 13.↵
    1. Nitkunan A,
    2. Barrick TR,
    3. Charlton RA,
    4. et al

    . Multimodal MRI in cerebral small vessel disease: its relationship with cognition and sensitivity to change over time. Stroke 2008;39: 1999–2005

    Abstract/FREE Full Text
14. 14.↵
    1. de Laat KF,
    2. Tuladhar AM,
    3. van Norden AG,
    4. et al

    . Loss of white matter integrity is associated with gait disorders in cerebral small vessel disease. Brain 2011;134 (pt 1): 73–83. Epub 2010 Dec 14

    Abstract/FREE Full Text
15. 15.↵
    1. Fazekas F,
    2. Chawluk JB,
    3. Alavi A,
    4. et al

    . MR signal abnormalities at 1.5T in Alzheimer's dementia and normal aging. AJR Am J Roentogenol 1987;149: 351–56

    CrossRefPubMedWeb of Science
16. 16.↵
    1. Bogousslavsky J,
    2. Caplan L

    1. Tatemichi TK

    . Dementia. In: Bogousslavsky J, Caplan L, eds. Stroke Syndromes. New York: Cambridge University Press; 1995, 169 169–81
17. 17.↵
    1. Dubois B,
    2. Slachevsky A,
    3. Litvan I,
    4. et al

    . The FAB: a Frontal Assessment Battery at bedside. Neurology 2000;55: 1621–26

    Abstract/FREE Full Text
18. 18.↵
    1. Smith SM

    . Fast robust automated brain extraction. Hum Brain Mapping 2002;17: 143–55

    CrossRefPubMedWeb of Science
19. 19.↵
    1. Behrens TE,
    2. Woolrich MW,
    3. Jenkinson M,
    4. et al

    . Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn Reson Med 2003;50: 1077–88

    CrossRefPubMedWeb of Science
20. 20.↵
    1. Smith SM,
    2. Jenkinson M,
    3. Woolrich MW,
    4. et al

    . Advances in functional and structural MR image analysis and implementation as FSL. Neuroimage 2004;23: 208–19

    CrossRef
21. 21.↵
    1. Jenkinson M,
    2. Smith SM

    . A global optimization method for robust affine registration of brain images. Med Image Anal 2001;5: 143–56

    CrossRefPubMedWeb of Science
22. 22.↵
    1. Zhang Y,
    2. Brady M,
    3. Smith S

    . Segmentation of brain MR images through a hidden Markov random field model and the expectation maximization algorithm. IEEE Trans Med Imaging 2001;20: 45–57

    CrossRefPubMedWeb of Science
23. 23.↵
    1. Smith SM,
    2. Zhang Y,
    3. Jenkinson M,
    4. et al

    . Accurate, robust and automated longitudinal and cross-sectional brain change analysis. Neuroimage 2002;17: 479–89

    CrossRefPubMedWeb of Science
24. 24.↵
    1. Smith SM,
    2. Jenkinson M,
    3. Johansen-Berg H,
    4. et al

    . Tract-based spatial statistics: voxelwise analysis of multi-subject diffusion data. Neuroimage 2006;31: 1487–505

    CrossRefPubMedWeb of Science
25. 25.↵
    1. Nichols TE,
    2. Holmes AP

    . Nonparametric permutation tests for functional neuroimaging: a primer with examples. Hum Brain Mapping 2001;15: 1–25

    CrossRefWeb of Science
26. 26.↵
    1. Vernooij MW,
    2. Afran Ikram M,
    3. Vrooman HA,
    4. et al

    . White matter microstructural integrity and cognitive function in a general elderly population. Arch Gen Psychiatry 2009;66: 545–53

    CrossRefPubMedWeb of Science
27. 27.↵
    1. Schmierer K,
    2. Wheeler-Kingshott CA,
    3. Boulby PA,
    4. et al

    . Diffusion tensor imaging of post mortem multiple sclerosis brain. Neuroimage 2007;35: 467–77

    CrossRefPubMedWeb of Science
28. 28.↵
    1. Song SK,
    2. Sun SW,
    3. Ju WK,
    4. et al

    . Diffusion tensor imaging detects and differentiates axon and myelin degeneration in mouse optic nerve after retinal ischemia. Neuroimage 2003;20: 1714–22

    CrossRefPubMedWeb of Science
29. 29.↵
    1. Kale RA,
    2. Gupta RK,
    3. Saraswat VA,
    4. et al

    . Demonstration of interstitial cerebral edema with diffusion tensor MR imaging in type C hepatic encephalopathy. Hepatology 2006;43: 698–706

    CrossRefPubMedWeb of Science
30. 30.↵
    1. Debette S,
    2. Markus HS

    . The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ 2010;341: c3666
31. 31.↵
    1. Benistry S,
    2. Gouw AA,
    3. Porcher R,
    4. et al.

    , on behalf of the LADIS Study group. Location of lacunar infarcts correlates with cognition in a sample of non-disabled subjects with age-related white-matter changes: the LADIS Study. J Neurol Neurosurg Psychiatry 2009;80: 478–83

    Abstract/FREE Full Text
32. 32.↵
    1. Bokura H,
    2. Kobayashi S,
    3. Yamaguchi S

    . Distinguishing silent lacunar infarction from enlarged Virchow-Robin spaces: a magnetic resonance imaging and pathological study. J Neurol 1998;245: 116–22

    CrossRefPubMedWeb of Science