Age-Related Changes of Cerebral Autoregulation: New Insights with Quantitative T2′-Mapping and Pulsed Arterial Spin-Labeling MR Imaging

References

1. 1.↵
   1. Johnston AJ,
   2. Steiner LA,
   3. Gupta AK,
   4. et al

   . Cerebral oxygen vasoreactivity and cerebral tissue oxygen reactivity. Br J Anaesth 2003; 90: 774– 86

   Abstract/FREE Full Text
2. 2.↵
   1. Immink RV,
   2. van den Born BJ,
   3. van Montfrans GA,
   4. et al

   . Impaired cerebral autoregulation in patients with malignant hypertension. Circulation 2004; 110: 2241– 45

   Abstract/FREE Full Text
3. 3.↵
   1. Bateman GA,
   2. Levi CR,
   3. Schofield P,
   4. et al

   . Quantitative measurement of cerebral haemodynamics in early vascular dementia and Alzheimer's disease. J Clin Neurosci 2006; 13: 563– 68

   CrossRefPubMedWeb of Science
4. 4.↵
   1. Cantin S,
   2. Villien M,
   3. Moreaud O,
   4. et al

   . Impaired cerebral vasoreactivity to CO2 in Alzheimer's disease using BOLD fMRI. Neuroimage 2011; 58: 579– 87

   CrossRefPubMed
5. 5.↵
   1. Lee SY,
   2. Dinesh SK,
   3. Thomas J

   . Hypertension-induced reversible posterior leukoencephalopathy syndrome causing obstructive hydrocephalus. J Clin Neurosci 2008; 15: 457– 59

   CrossRefPubMed
6. 6.↵
   1. Armstead WM,
   2. Kiessling JW,
   3. Kofke WA,
   4. et al

   . Impaired cerebral blood flow autoregulation during posttraumatic arterial hypotension after fluid percussion brain injury is prevented by phenylephrine in female but exacerbated in male piglets by extracellular signal-related kinase mitogen-activated protein kinase upregulation. Crit Care Med 2010; 38: 1868– 74

   CrossRefPubMedWeb of Science
7. 7.↵
   1. Meguro K,
   2. Hatazawa J,
   3. Yamaguchi T,
   4. et al

   . Cerebral circulation and oxygen metabolism associated with subclinical periventricular hyperintensity as shown by magnetic resonance imaging. Ann Neurol 1990; 28: 378– 83

   CrossRefPubMedWeb of Science
8. 8.↵
   1. Yamauchi H,
   2. Fukuyama H,
   3. Yamaguchi S,
   4. et al

   . High-intensity area in the deep white matter indicating hemodynamic compromise in internal carotid artery occlusive disorders. Arch Neurol 1991; 48: 1067– 71

   CrossRefPubMedWeb of Science
9. 9.↵
   1. Fazekas F,
   2. Niederkorn K,
   3. Schmidt R,
   4. et al

   . White matter signal abnormalities in normal individuals: correlation with carotid ultrasonography, cerebral blood flow measurements, and cerebrovascular risk factors. Stroke 1988; 19: 1285– 88

   Abstract/FREE Full Text
10. 10.↵
    1. Kety SS

    . Human cerebral blood flow and oxygen consumption as related to aging. J Chronic Dis 1956; 3: 478– 86

    CrossRefPubMed
11. 11.↵
    1. Leenders KL,
    2. Perani D,
    3. Lammertsma AA,
    4. et al

    . Cerebral blood flow, blood volume and oxygen utilization: normal values and effect of age. Brain 1990; 113: 27– 47

    Abstract/FREE Full Text
12. 12.↵
    1. Parkes LM,
    2. Rashid W,
    3. Chard DT,
    4. et al

    . Normal cerebral perfusion measurements using arterial spin labeling: reproducibility, stability, and age and gender effects. Magn Reson Med 2004; 51: 736– 43

    CrossRefPubMedWeb of Science
13. 13.↵
    1. Martin AJ,
    2. Friston KJ,
    3. Colebatch JG,
    4. et al

    . Decreases in regional cerebral blood flow with normal aging. J Cereb Blood Flow Metab 1991; 11: 684– 89

    PubMedWeb of Science
14. 14.↵
    1. Pantano P,
    2. Baron JC,
    3. Lebrun-Grandié P,
    4. et al

    . Regional cerebral blood flow and oxygen consumption in human aging. Stroke 1984; 15: 635– 41

    Abstract/FREE Full Text
15. 15.↵
    1. Iseki K,
    2. Hanakawa T,
    3. Hashikawa K,
    4. et al

    . Gait disturbance associated with white matter changes: a gait analysis and blood flow study. Neuroimage 2010; 49: 1659– 66

    CrossRefPubMedWeb of Science
16. 16.↵
    1. Seals DR,
    2. Jablonski KL,
    3. Donato AJ

    . Aging and vascular endothelial function in humans. Clin Sci (Lond) 2011; 120: 357– 75

    Abstract/FREE Full Text
17. 17.↵
    1. Moody DM,
    2. Brown WR,
    3. Challa VR,
    4. et al

    . Cerebral microvascular alterations in aging, leukoaraiosis, and Alzheimer's disease. Ann N Y Acad Sci 1997; 826: 103– 16

    CrossRefPubMedWeb of Science
18. 18.↵
    1. Kety SS,
    2. Schmidt CF

    . The nitrous oxygen method for quantitative determination of cerebral blood flow in man: theory, procedure and normal values. J Clin Invest 1948; 27: 476– 83

    CrossRefPubMedWeb of Science
19. 19.↵
    1. Amano T,
    2. Meyer JS,
    3. Okabe T,
    4. et al

    . Cerebral vasomotor responses during oxygen inhalation: results in normal aging and dementia. Arch Neurol 1983; 40: 277– 82

    CrossRefPubMedWeb of Science
20. 20.↵
    1. Duara R,
    2. Margolin RA,
    3. Robertson-Tchabo EA,
    4. et al

    . Cerebral glucose utilization, as measured with positron emission tomography in 21 resting healthy men between the ages of 21 and 83 years. Brain 1983; 106: 761– 75

    Abstract/FREE Full Text
21. 21.↵
    1. Aquino D,
    2. Bizzi A,
    3. Grisoli M,
    4. et al

    . Age-related iron deposition in the basal ganglia: quantitative analysis in healthy subjects. Radiology 2009; 252: 165– 72

    CrossRefPubMedWeb of Science
22. 22.↵
    1. Drayer BP

    . Imaging of the aging brain. Part I. Normal findings. Radiology 1988; 166: 785– 96

    CrossRefPubMedWeb of Science
23. 23.↵
    1. Drayer BP

    . Basal ganglia: significance of signal hypointensity on T2-weighted MR images. Radiology 1989; 173: 311– 12

    CrossRefPubMedWeb of Science
24. 24.↵
    1. Pujol J,
    2. Junqué C,
    3. Vendrell P,
    4. et al

    . Biological significance of iron-related magnetic resonance imaging changes in the brain. Arch Neurol 1992; 49: 711– 17

    CrossRefPubMedWeb of Science
25. 25.↵
    1. Langkammer C,
    2. Krebs N,
    3. Goessler W,
    4. et al

    . Quantitative MR imaging of brain iron: a postmortem validation study. Radiology 2010; 257: 455– 62

    CrossRefPubMedWeb of Science
26. 26.↵
    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
27. 27.↵
    1. Fazekas F,
    2. Alavi A,
    3. Chawluk JB,
    4. et al

    . Comparison of CT, MR, and PET in Alzheimer's dementia and normal aging. J Nucl Med 1989; 30: 1607– 15

    Abstract/FREE Full Text
28. 28.↵
    1. Inglese M,
    2. Ge Y

    . Quantitative MRI: hidden age-related changes in brain tissue. Top Magn Reson Imaging 2004; 15: 355– 63

    CrossRefPubMed
29. 29.↵
    1. Bartzokis G,
    2. Tishler TA,
    3. Shin IS,
    4. et al

    . Brain ferritin iron as a risk factor for age at onset in neurodegenerative diseases. Ann N Y Acad Sci 2004; 1012: 224– 36

    CrossRefPubMedWeb of Science
30. 30.↵
    1. Rivkin MJ,
    2. Wolraich D,
    3. Als H,
    4. et al

    . Prolonged T*2 values in newborn versus adult brain: Implications for fMRI studies of newborns. Magn Reson Med 2004; 51: 1287– 91

    CrossRefPubMed
31. 31.↵
    1. Siemonsen S,
    2. Finsterbusch J,
    3. Matschke J,
    4. et al

    . Age-dependent normal values of T2* and T2′ in brain parenchyma. AJNR Am J Neuroradiol 2008; 29: 950– 55

    Abstract/FREE Full Text
32. 32.↵
    1. Speck O,
    2. Ernst T,
    3. Chang L

    . Biexponential modeling of multigradient-echo MRI data of the brain. Magn Reson Med 2001; 45: 1116– 21

    CrossRefPubMed
33. 33.↵
    1. Donahue MJ,
    2. Blicher JU,
    3. Østergaard L,
    4. et al

    . Cerebral blood flow, blood volume, and oxygen metabolism dynamics in human visual and motor cortex as measured by whole-brain multi-modal magnetic resonance imaging. J Cereb Blood Flow Metab 2009; 29: 1856– 66

    CrossRefPubMed
34. 34.↵
    1. Benedetti B,
    2. Charil A,
    3. Rovaris M,
    4. et al

    . Influence of aging on brain gray and white matter changes assessed by conventional, MT, and DT MRI. Neurology 2006; 66: 535– 39

    Abstract/FREE Full Text
35. 35.↵
    1. Brooks DJ,
    2. Luthert P,
    3. Gadian D,
    4. et al

    . Does signal-attenuation on high-field T2-weighted MRI of the brain reflect regional cerebral iron deposition? Observations on the relationship between regional cerebral water proton T2 values and iron levels. J Neurol Neurosurg Psychiatry 1989; 52: 108– 11

    Abstract/FREE Full Text
36. 36.↵
    1. Falangola MF,
    2. Dyakin VV,
    3. Lee SP,
    4. et al

    . Quantitative MRI reveals aging-associated T2 changes in mouse models of Alzheimer's disease. NMR Biomed 2007; 20: 343– 51

    CrossRefPubMed
37. 37.↵
    1. Thulborn KR,
    2. Waterton JC,
    3. Matthews PM,
    4. et al

    . Oxygenation dependence of the transverse relaxation time of water protons in whole blood at high field. Biochim Biophys Acta 1982; 714: 265– 70

    PubMed
38. 38.↵
    1. Thulborn KR

    . My starting point: the discovery of an NMR method for measuring blood oxygenation using the transverse relaxation time of blood water. Neuroimage 2012; 62: 589– 93

    CrossRefPubMed
39. 39.↵
    1. Evans AC

    . Brain Development Cooperative Group: the NIH MRI study of normal brain development. Neuroimage 2006; 30: 184–202

    CrossRefPubMedWeb of Science
40. 40.↵
    1. Ogawa S,
    2. Lee TM,
    3. Kay AR,
    4. et al

    . Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci U S A 1990; 87: 9868– 72

    Abstract/FREE Full Text
41. 41.↵
    1. Magerkurth J,
    2. Volz S,
    3. Wagner M,
    4. et al

    . Quantitative T*(2)-mapping based on multi-slice multiple gradient echo FLASH imaging: retrospective correction for subject motion effects. Magn Reson Med 2011; 66: 989– 97

    CrossRefPubMed
42. 42.↵
    1. Williams DS,
    2. Detre JA,
    3. Leigh JS,
    4. et al

    . Magnetic resonance imaging of perfusion using spin inversion of arterial water. Proc Natl Acad Sci U S A 1992; 89: 212– 16

    Abstract/FREE Full Text
43. 43.↵
    1. Losert C,
    2. Peller M,
    3. Schneider P,
    4. et al

    . Oxygen-enhanced MRI of the brain. Magn Res Med 2002; 48: 271– 77

    CrossRefPubMedWeb of Science
44. 44.↵
    1. Ericsson A,
    2. Weis J,
    3. Hemmingsson A,
    4. et al

    . Measurements of magnetic field variations in the human brain using a 3D-FT multiple gradient echo technique. Magn Reson Med 1995; 33: 171– 77

    CrossRefPubMed
45. 45.↵
    1. Ordidge RJ,
    2. Gorell JM,
    3. Deniau JC,
    4. et al

    . Assessment of relative brain iron concentrations using T2-weighted and T2*-weighted MRI at 3 Tesla. Magn Reson Med 1994; 32: 335– 41

    CrossRefPubMedWeb of Science
46. 46.↵
    1. Fernandez-Seara MA,
    2. Wehrli FW

    . Postprocessing technique to correct for background gradients in image-based R*(2) measurements. Magn Reson Med 2000; 44: 358– 66

    CrossRefPubMed
47. 47.↵
    1. Yang QX,
    2. Williams GD,
    3. Demeure RJ,
    4. et al

    . Removal of local field gradient artifacts in T2*-weighted images at high fields by gradient-echo slice excitation profile imaging. Magn Reson Med 1998; 39: 402– 09

    CrossRefPubMed
48. 48.↵
    1. Baudrexel S,
    2. Volz S,
    3. Preibisch C,
    4. et al

    . Rapid single-scan T2*-mapping using exponential excitation pulses and image-based correction for linear background gradients. Magn Reson Med 2009; 62: 263– 68

    CrossRefPubMed
49. 49.↵
    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: S208– 19

    CrossRefPubMedWeb of Science
50. 50.↵
    1. Jenkinson M,
    2. Bannister P,
    3. Brady M,
    4. et al

    . Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage 2002; 17: 825– 41

    CrossRefPubMedWeb of Science
51. 51.↵
    1. Mugler JP 3rd.,
    2. Brookeman JR

    . Three-dimensional magnetization-prepared rapid gradient-echo imaging (3D MP RAGE). Magn Reson Med 1990; 15: 152– 57

    CrossRefPubMedWeb of Science
52. 52.↵
    1. Luh WM,
    2. Wong EC,
    3. Bandettini PA,
    4. et al

    . QUIPSS II with thin-slice TI1 periodic saturation: a method for improving accuracy of quantitative perfusion imaging using pulsed arterial spin labeling. Magn Reson Med 1999; 41: 1246– 54

    CrossRefPubMedWeb of Science
53. 53.↵
    1. Jakob PM,
    2. Hillenbrand CM,
    3. Wang T,
    4. et al

    . Rapid quantitative lung 1H T1 mapping. J Magn Reson Imaging 2001; 14: 795– 99

    CrossRefPubMed
54. 54.↵
    1. Edelman RR,
    2. Hatabu H,
    3. Tadamura E,
    4. et al

    . Noninvasive assessment of regional ventilation in the human lung using oxygen-enhanced magnetic resonance imaging. Nat Med 1996; 2: 1236– 39

    CrossRefPubMedWeb of Science
55. 55.↵
    1. Beer M,
    2. Stäb D,
    3. Oechsner M,
    4. et al

    . Oxygen-enhanced functional MR lung imaging. Radiologe 2009; 49: 732– 38

    CrossRefPubMed
56. 56.↵
    1. Uematsu H,
    2. Takahashi M,
    3. Hatabu H,
    4. et al

    . Changes in T1 and T2 observed in brain magnetic resonance imaging with delivery of high concentrations of oxygen. J Comput Assist Tomogr 2007; 31: 662– 65

    CrossRefPubMed
57. 57.↵
    R Foundation For Statistical Computing R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2008
58. 58.↵
    1. Akiyama H,
    2. Meyer JS,
    3. Mortel KF,
    4. et al

    . Normal human aging: factors contributing to cerebral atrophy. J Neurol Sci 1997; 152: 39– 49

    CrossRefPubMedWeb of Science
59. 59.↵
    1. Lee C,
    2. Lopez OL,
    3. Becker JT,
    4. et al

    . Imaging cerebral blood flow in the cognitively normal aging brain with arterial spin labeling: implications for imaging of neurodegenerative disease. J Neuroimaging 2009; 19: 344– 52

    CrossRefPubMed
60. 60.↵
    1. Terry RD,
    2. DeTeresa R,
    3. Hansen LA

    . Neocortical cell counts in normal human adult aging. Ann Neurol 1987; 21: 530– 39

    CrossRefPubMedWeb of Science
61. 61.↵
    1. Rosano C,
    2. Sigurdsson S,
    3. Siggeirsdottir K,
    4. et al

    . Magnetization transfer imaging, white matter hyperintensities, brain atrophy and slower gait in older men and women. Neurobiol Aging 2010; 31: 1197– 204

    CrossRefPubMedWeb of Science
62. 62.↵
    1. Rodrigue KM,
    2. Haacke EM,
    3. Raz N

    . Differential effects of age and history of hypertension on regional brain volumes and iron. Neuroimage 2011; 54: 750– 59

    CrossRefPubMedWeb of Science
63. 63.↵
    1. de Weerd M,
    2. Greving JP,
    3. Hedblad B,
    4. et al

    . Prevalence of asymptomatic carotid artery stenosis in the general population: an individual participant data meta-analysis. Stroke 2010; 41: 1294– 97

    Abstract/FREE Full Text
64. 64.↵
    1. Hallgren B,
    2. Sourander P

    . The effect of age on the non-haemin iron in the human brain. J Neurochem 1958; 3: 41– 51

    CrossRefPubMedWeb of Science
65. 65.↵
    1. Ding XQ,
    2. Kucinski T,
    3. Wittkugel O,
    4. et al

    . Normal brain maturation characterized with age-related T2 relaxation times: an attempt to develop a quantitative imaging measure for clinical use. Invest Radiol 2004; 39: 740– 46

    CrossRefPubMedWeb of Science
66. 66.↵
    1. Marshall VG,
    2. Bradley WG Jr.,
    3. Marshall CE,
    4. et al

    . Deep white matter infarction: correlation of MR imaging and histopathologic findings. Radiology 1988; 167: 517– 22

    CrossRefPubMedWeb of Science
67. 67.↵
    1. Awad IA,
    2. Spetzler RF,
    3. Hodak JA,
    4. et al

    . Incidental subcortical lesions identified on magnetic resonance imaging in the elderly. I. Correlation with age and cerebrovascular risk factors. Stroke 1986; 17: 1084– 89

    Abstract/FREE Full Text
68. 68.↵
    1. Braffman BH,
    2. Zimmerman RA,
    3. Trojanowski JQ,
    4. et al

    . Brain MR: pathologic correlation with gross and histopathology. 2. Hyperintense white-matter foci in the elderly. AJR Am J Roentgenol 1988; 151: 559– 66

    CrossRefPubMedWeb of Science
69. 69.↵
    1. Braffman BH,
    2. Zimmerman RA,
    3. Trojanowski JQ,
    4. et al

    . Brain MR: pathologic correlation with gross and histopathology. 1. Lacunar infarction and Virchow-Robin spaces. AJR Am J Roentgenol 1988; 151: 551– 58

    PubMedWeb of Science
70. 70.↵
    1. Breger RK,
    2. Yetkin FZ,
    3. Fischer ME,
    4. et al

    . T1 and T2 in the cerebrum: correlation with age, gender, and demographic factors. Radiology 1991; 181: 545– 47

    CrossRefPubMed
71. 71.↵
    1. Autti T,
    2. Raininko R,
    3. Vanhanen SL,
    4. et al

    . MRI of the normal brain from early childhood to middle age. I. Appearances on T2- and proton density-weighted images and occurrence of incidental high-signal foci. Neuroradiology 1994; 36: 644– 48

    CrossRefPubMedWeb of Science
72. 72.↵
    1. Autti T,
    2. Raininko R,
    3. Vanhanen SL,
    4. et al

    . MRI of the normal brain from early childhood to middle age. II. Age dependence of signal intensity changes on T2-weighted images. Neuroradiology 1994; 36: 649– 51

    CrossRefPubMedWeb of Science
73. 73.↵
    1. Nusbaum AO,
    2. Tang CY,
    3. Buchsbaum MS,
    4. et al

    . Regional and global changes in cerebral diffusion with normal aging. AJNR Am J Neuroradiol 2001; 22: 136– 42

    Abstract/FREE Full Text