Evaluation of Common Structural Brain Changes in Aging and Alzheimer Disease with the Use of an MRI-Based Brain Atrophy and Lesion Index: A Comparison Between T1WI and T2WI at 1.5T and 3T

REFERENCES

1. 1.↵
   1. Appel J,
   2. Potter E,
   3. Bhatia N,
   4. et al

   . Association of white matter hyperintensity measurements on brain MR imaging with cognitive status, medial temporal atrophy, and cardiovascular risk factors. AJNR Am J Neuroradiol 2009;30:1870–76

   Abstract/FREE Full Text
2. 2.↵
   1. Sinka L,
   2. Kovari E,
   3. Gold G,
   4. et al

   . Small vascular and Alzheimer disease-related pathologic determinants of dementia in the oldest-old. J Neuropathol Exp Neurol 2010;69:1247–55

   CrossRefPubMed
3. 3.↵
   1. Barnes J,
   2. Carmichael OT,
   3. Leung KK,
   4. et al

   . Vascular and Alzheimer's disease markers independently predict brain atrophy rate in Alzheimer's Disease Neuroimaging Initiative controls. Neurobiol Aging 2013;34:1996–2002

   CrossRefPubMedWeb of Science
4. 4.↵
   1. Jagust WJ,
   2. Zheng L,
   3. Harvey DJ,
   4. et al

   . Neuropathological basis of magnetic resonance images in aging and dementia. Ann Neurol 2008;63:72–80

   CrossRefPubMedWeb of Science
5. 5.↵
   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
6. 6.↵
   1. Black S,
   2. Gao F,
   3. Bilbao J

   . Understanding white matter disease: imaging: pathological correlations in vascular cognitive impairment. Stroke 2009;40:S48–52

   Abstract/FREE Full Text
7. 7.↵
   1. Chen W,
   2. Song X,
   3. Zhang Y

   . Assessment of the Virchow-Robin spaces in Alzheimer disease, mild cognitive impairment, and normal aging, using high-field MRI. AJNR Am J Neuroradiol 2011;32:1490–95

   Abstract/FREE Full Text
8. 8.↵
   1. Kim HJ,
   2. Kang SJ,
   3. Kim C,
   4. et al

   . The effects of small vessel disease and amyloid burden on neuropsychiatric symptoms: a study among patients with subcortical vascular cognitive impairments. Neurobiol Aging 2013;34:1913–20

   CrossRefPubMed
9. 9.↵
   1. Duara R,
   2. Loewenstein DA,
   3. Potter E,
   4. et al

   . Medial temporal lobe atrophy on MRI scans and the diagnosis of Alzheimer disease. Neurology 2008;71:1986–92

   CrossRef
10. 10.↵
    1. Moon WJ,
    2. Kim HJ,
    3. Roh HG,
    4. et al

    . Atrophy measurement of the anterior commissure and substantia innominata with 3T high-resolution MR imaging: does the measurement differ for patients with frontotemporal lobar degeneration and Alzheimer disease and for healthy subjects? AJNR Am J Neuroradiol 2008;29:1308–13

    Abstract/FREE Full Text
11. 11.↵
    1. Savva GM,
    2. Wharton SB,
    3. Ince PG,
    4. et al

    . Age, neuropathology, and dementia. N Engl J Med 2009;360:2302–09

    CrossRefPubMedWeb of Science
12. 12.↵
    1. Chen W,
    2. Song X,
    3. Zhang Y,
    4. et al

    . An MRI-based semiquantitative index for the evaluation of brain atrophy and lesions in Alzheimer's disease, mild cognitive impairment and normal aging. Dement Geriatr Cogn Disord 2010;30:121–30

    CrossRefPubMed
13. 13.↵
    1. Zhang N,
    2. Song X,
    3. Zhang Y,
    4. et al

    . An MRI brain atrophy and lesion index to assess the progression of structural changes in Alzheimer's disease, mild cognitive impairment, and normal aging: a follow-up study. J Alzheimers Dis 2011;26:359–67

    PubMed
14. 14.↵
    1. Weiner MW,
    2. Aisen PS,
    3. Jack CR Jr.,
    4. et al

    . The Alzheimer's Disease Neuroimaging Initiative: progress report and future plans. Alzheimers Dement 2010;6:201–11
15. 15.↵
    1. Zhang N,
    2. Song X,
    3. Zhang Y

    . Combining structural brain changes improves the prediction of Alzheimer's disease and mild cognitive impairment. Dement Geriatr Cogn Disord 2012;33:318–26

    CrossRefPubMed
16. 16.↵
    1. Song X,
    2. Mitnitski A,
    3. Zhang,
    4. et al

    . Dynamics of brain structure and cognitive function in the Alzheimer's disease neuroimaging initiative. J Neurol Neurosurg Psychiatry 2013;84:71–78

    Abstract/FREE Full Text
17. 17.↵
    1. Alvarez-Linera J

    . 3T MRI: advances in brain imaging. Eur J Radiol 2008;67:415–26

    CrossRefPubMedWeb of Science
18. 18.↵
    1. Jack CR Jr.,
    2. Bernstein MA,
    3. Fox NC,
    4. et al

    . The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods. J Magn Reson Imaging 2008;27:685–91

    CrossRefPubMedWeb of Science
19. 19.↵
    1. Aisen PS,
    2. Petersen RC,
    3. Donohue MC,
    4. et al

    . Clinical core of the Alzheimer's Disease Neuroimaging Initiative: progress and plans. Alzheimers Dement 2010;6:239–46

    CrossRefPubMedWeb of Science
20. 20.↵
    1. Shaw LM,
    2. Vanderstichele H,
    3. Knapik-Czajka M,
    4. et al

    . Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects. Ann Neurol 2009;65:403–13

    CrossRefPubMedWeb of Science
21. 21.↵
    1. Song X,
    2. Mitnitski A,
    3. Rockwood K

    . Index variables for studying outcomes in vascular cognitive impairment. Neuroepidemiology 2005;25:196–204

    CrossRefPubMedWeb of Science
22. 22.↵
    1. Streiner D,
    2. Norman G

    . Health Measurement Scales: A Practical Guide to Their Development and Use. 4th ed. New York: Oxford University Press; 2008
23. 23.↵
    1. Walter SD,
    2. Eliasziw M,
    3. Donner A

    . Sample size and optimal designs for reliability studies. Stat Med 1998;17:101–10

    CrossRefPubMedWeb of Science
24. 24.↵
    1. Karas G,
    2. Sluimer J,
    3. Goekoop R,
    4. et al

    . Amnestic mild cognitive impairment: structural MR imaging findings predictive of conversion to Alzheimer disease. AJNR Am J Neuroradiol 2008;29:944–49

    Abstract/FREE Full Text
25. 25.↵
    1. Frisoni GB,
    2. Fox NC,
    3. Jack CR Jr.,
    4. et al

    . The clinical use of structural MRI in Alzheimer disease. Nat Rev Neurol 2010;6:67–77

    CrossRefPubMedWeb of Science
26. 26.↵
    1. Agosta F,
    2. Pievani M,
    3. Sala S,
    4. et al

    . White matter damage in Alzheimer disease and its relationship to gray matter atrophy. Radiology 2011;258:853–63

    CrossRefPubMed
27. 27.↵
    1. Eckerstrom C,
    2. Olsson E,
    3. Klasson N,
    4. et al

    . High white matter lesion load is associated with hippocampal atrophy in mild cognitive impairment. Dement Geriatr Cogn Disord 2011;31:132–38

    CrossRefPubMed
28. 28.↵
    1. Raji CA,
    2. Lopez OL,
    3. Kuller LH,
    4. et al

    . White matter lesions and brain gray matter volume in cognitively normal elders. Neurobiol Aging 2012;33:e7–16
29. 29.↵
    Neuropathology Group. Medical Research Council Cognitive Function and Aging Study: pathological correlates of late-onset dementia in a multicentre, community-based population in England and Wales: Neuropathology Group of the Medical Research Council Cognitive Function and Aging Study (MRC CFAS). Lancet 2001;357:169–75

    CrossRefPubMedWeb of Science
30. 30.↵
    1. Launer LJ,
    2. Hughes TM,
    3. White LR

    . Microinfarcts, brain atrophy, and cognitive function: the Honolulu Asia Aging Study Autopsy Study. Ann Neurol 2011;70:774–80

    CrossRefPubMed
31. 31.↵
    1. Gouw AA,
    2. van der Flier WM,
    3. Pantoni L,
    4. et al

    . On the etiology of incident brain lacunes: longitudinal observations from the LADIS study. Stroke 2008;39:3083–85

    Abstract/FREE Full Text
32. 32.↵
    1. Jack CR Jr.,
    2. Shiung MM,
    3. Gunter JL,
    4. et al

    . Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD. Neurology 2004;62:591–600

    CrossRef
33. 33.↵
    1. Fox NC,
    2. Freeborough PA,
    3. Rossor MN

    . Visualisation and quantification of rates of atrophy in Alzheimer's disease. Lancet 1996;348:94–97

    CrossRefPubMedWeb of Science
34. 34.↵
    1. Shen Q,
    2. Loewenstein DA,
    3. Potter E,
    4. et al

    . Volumetric and visual rating of magnetic resonance imaging scans in the diagnosis of amnestic mild cognitive impairment and Alzheimer's disease. Alzheimers Dement 2011;7:e101–08

    CrossRefPubMed
35. 35.↵
    1. Bryan RN,
    2. Cai J,
    3. Burke G,
    4. et al

    . Prevalence and anatomic characteristics of infarct-like lesions on MR images of middle-aged adults: the atherosclerosis risk in communities study. AJNR Am J Neuroradiol 1999;20:1273–80

    Abstract/FREE Full Text
36. 36.↵
    1. Song X,
    2. Mitnitski A,
    3. MacKnight C,
    4. et al

    . Assessment of individual risk of death using self-report data: an artificial neural network compared with a frailty index. J Am Geriatr Soc 2004;52:1180–84

    CrossRefPubMedWeb of Science