Arterial spin labeling fMRI measurements of decreased blood flow in primary visual cortex correlates with decreased visual function in human glaucoma

Vision Research

Volumn 60, Issue , 2012, Pages 51-60

  Duncan, Robert O ^a   Sample, Pamela A ^b   Bowd, Christopher ^b   Weinreb, Robert N ^b   Zangwill, Linda M ^b  

^a CITY UNIVERSITY OF NEW YORK   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Brain imaging; Degeneration; Functional MRI; Optic nerve; Visual function testing; Visual pathway

Indexed keywords

ARTICLE; BOOTSTRAPPING; BRAIN BLOOD FLOW; CORRELATION ANALYSIS; DORSAL VISUAL CORTEX; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; OPEN ANGLE GLAUCOMA; PERIMETRY; PRIORITY JOURNAL; SPIN LABELING; STRIATE CORTEX; VENTRAL VISUAL CORTEX; VISUAL DISORDER; VISUAL SYSTEM FUNCTION;

DIFFUSION MAGNETIC RESONANCE IMAGING; GLAUCOMA, OPEN-ANGLE; HUMANS; PROSPECTIVE STUDIES; REGIONAL BLOOD FLOW; VISION DISORDERS; VISUAL CORTEX; VISUAL FIELDS;

EID: 84859479777     PISSN: 00426989     EISSN: 18785646     Source Type: Journal    
DOI: 10.1016/j.visres.2012.03.012     Document Type: Article

References (75)

1. Acaroglu G., Kansu T., Dogulu C.F. Visual recovery patterns in children with Leber's hereditary optic neuropathy. International Ophthalmology 2001, 24(6):349-355.
2. Aguirre G.K., Detre J.A., Zarahn E., Alsop D.C. Experimental design and the relative sensitivity of BOLD and perfusion fMRI. Neuroimage 2002, 15(3):488-500.
3. Boden C., Pascual J., Medeiros F.A., Aihara M., Weinreb R.N., Sample P.A. Relationship of SITA and full-threshold standard perimetry to frequency-doubling technology perimetry in glaucoma. Investigative Ophthalmology & Visual Science 2005, 46(7):2433-2439.
4. Boucard C.C., Hernowo A.T., Maguire R.P., Jansonius N.M., Roerdink J.B., Hooymans J.M., et al. Changes in cortical grey matter density associated with long-standing retinal visual field defects. Brain 2009, 132(Pt 7):1898-1906.
5. Boucard C.C., Hoogduin J.M., van der Grond J., Cornelissen F.W. Occipital proton magnetic resonance spectroscopy (1H-MRS) reveals normal metabolite concentrations in retinal visual field defects. PLoS ONE 2007, 2(2):e222.
6. Brainard D.H. The psychophysics toolbox. Spatial Vision 1997, 10(4):433-436.
7. Brodsky M.C., Glasier C.M., Creel D.J. Magnetic resonance imaging of the visual pathways in human albinos. Journal of Pediatric Ophthalmology and Strabismus 1993, 30(6):382-385.
8. Brooks D.E., Kallberg M.E., Cannon R.L., Komaromy A.M., Ollivier F.J., Malakhova O.E., et al. Functional and structural analysis of the visual system in the rhesus monkey model of optic nerve head ischemia. Investigative Ophthalmology & Visual Science 2004, 45(6):1830-1840.
9. Brown G.G., Eyler Zorrilla L.T., Georgy B., Kindermann S.S., Wong E.C., et al. BOLD and perfusion response to finger-thumb apposition after acetazolamide administration: Differential relationship to global perfusion. Journal of Cerebral Blood Flow and Metabolism 2003, 23(7):829-837.
10. Chan K.C., So K.F., Wu E.X. Proton magnetic resonance spectroscopy revealed choline reduction in the visual cortex in an experimental model of chronic glaucoma. Experimental Eye Research 2009, 88(1):65-70.
11. Cox R.W. AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages. Computers and Biomedical Research 1996, 29(3):162-173.
12. Crawford M.L., Harwerth R.S., Smith E.L., Mills S., Ewing B. Experimental glaucoma in primates: Changes in cytochrome oxidase blobs in V1 cortex. Investigative Ophthalmology & Visual Science 2001, 42(2):358-364.
13. Crawford M.L., Harwerth R.S., Smith E.L., Shen F., Carter-Dawson L. Glaucoma in primates: Cytochrome oxidase reactivity in parvo- and magnocellular pathways. Investigative Ophthalmology & Visual Science 2000, 41(7):1791-1802.
14. Davis T.L., Kwong K.K., Weisskoff R.M., Rosen B.R. Calibrated functional MRI: Mapping the dynamics of oxidative metabolism. Proceedings of the National Academy of Sciences of the United States of America 1998, 95(4):1834-1839.
15. Detre J.A., Leigh J.S., Williams D.S., Koretsky A.P. Perfusion imaging. Magnetic Resonance in Medicine 1992, 23(1):37-45.
16. DeYoe E.A., Bandettini P., Neitz J., Miller D., Winans P. Functional magnetic resonance imaging (FMRI) of the human brain. Journal of Neuroscience Methods 1994, 54(2):171-187.
17. Duncan R.O., Boynton G.M. Cortical magnification within human primary visual cortex correlates with acuity thresholds. Neuron 2003, 38(4):659-671.
18. Duncan R.O. Bildgebende verfahren zur darstellung der glaukomatösen neuronalen degeneration im zentralen nervensystem. Search on glaucoma 2010, 40-48. Excerpta Medica, Amsterdam. C. Erb (Ed.).
19. Duncan R.O., Sample P.A., Weinreb R.N., Bowd C., Zangwill L.M. Retinotopic organization of primary visual cortex in glaucoma: A method for comparing cortical function with damage to the optic disk. Investigative Ophthalmology & Visual Science 2007, 48(2):733-744.
20. Duncan R.O., Sample P.A., Weinreb R.N., Bowd C., Zangwill L.M. Retinotopic organization of primary visual cortex in glaucoma: Comparing fMRI measurements of cortical function with visual field loss. Progress in Retinal and Eye Research 2007, 26(1):38-56.
21. Engel S.A., Glover G.H., Wandell B.A. Retinotopic organization in human visual cortex and the spatial precision of functional MRI. Cerebral Cortex 1997, 7(2):181-192.
22. Engel S.A., Rumelhart D.E., Wandell B.A., Lee A.T., Glover G.H., Chichilnisky E.J., et al. FMRI of human visual cortex. Nature 1994, 369(6481):525.
23. Flammer J., Mozaffarieh M. Autoregulation, a balancing act between supply and demand. Canadian Journal of Ophthalmology 2008, 43(3):317-321.
24. Fujita N., Tanaka H., Takanashi M., Hirabuki N., Abe K., Yoshimura H., et al. Lateral geniculate nucleus: Anatomic and functional identification by use of MR imaging. AJNR. American Journal of Neuroradiology 2001, 22(9):1719-1726.
25. Garcia, D. M., de Bazelaire, C., & Alsop, D. C. (2005). Pseudo-continuous flow driven adiabatic inversion for arterial spin labeling. In ISMRM (Vol. 13, p. 37): 13th Scientific meeting of the intl. soc. mag. reson. med.
26. Goldman R.I., Stern J.M., Engel J., Cohen M.S. Simultaneous EEG and fMRI of the alpha rhythm. NeuroReport 2002, 13(18):2487-2492.
27. Grover D.S., Budenz D.L. Ocular perfusion pressure and glaucoma. International Ophthalmology Clinics 2011, 51(3):19-25.
28. Gupta N., Greenberg G., de Tilly L.N., Gray B., Polemidiotis M., Yucel Y.H. Atrophy of the lateral geniculate nucleus in human glaucoma detected by magnetic resonance imaging. British Journal of Ophthalmology 2009, 93(1):56-60.
29. Harris, R. N. W. a. A. (2009). Ocular blood flow in glaucoma. Amsterdam, The Netherlands: Kugler Publications.
30. He Z., Vingrys A.J., Armitage J.A., Bui B.V. The role of blood pressure in glaucoma. Clinical and Experimental Optometry 2011, 94(2):133-149.
31. Henderson A.R. The bootstrap: A technique for data-driven statistics. Using computer-intensive analyses to explore experimental data. Clinica Chimica Acta 2005, 359(1-2):1-26.
32. Hesterberg, T., Moore, D. S., Monaghan, S., Clipson, A., & Epstein, R. (2005). Bootstrap methods and permutation tests. New York: W. H. Freeman.
33. Hoge R.D., Atkinson J., Gill B., Crelier G.R., Marrett S., Pike G.B. Linear coupling between cerebral blood flow and oxygen consumption in activated human cortex. Proceedings of the National Academy of Sciences of the United States of America 1999, 96(16):9403-9408.
34. Iwata F., Patronas N.J., Caruso R.C., Podgor M.J., Remaley N.A., Kupfer C., et al. Association of visual field, cup-disc ratio, and magnetic resonance imaging of optic chiasm. Archives of Ophthalmology 1997, 115(6):729-732.
35. Kashiwagi K., Okubo T., Tsukahara S. Association of magnetic resonance imaging of anterior optic pathway with glaucomatous visual field damage and optic disc cupping. Journal of Glaucoma 2004, 13(3):189-195.
36. Kim S.G. Quantification of relative cerebral blood flow change by flow-sensitive alternating inversion recovery (FAIR) technique: Application to functional mapping. Magnetic Resonance in Medicine 1995, 34(3):293-301.
37. Kitajima M., Korogi Y., Hirai T., Hamatake S., Ikushima I., Sugahara T., et al. MR changes in the calcarine area resulting from retinal degeneration. AJNR. American Journal of Neuroradiology 1997, 18(7):1291-1295.
38. Kitsos G., Zikou A.K., Bagli E., Kosta P., Argyropoulou M.I. Conventional MRI and magnetisation transfer imaging of the brain and optic pathway in primary open-angle glaucoma. British Journal of Radiology 2009, 82(983):896-900.
39. Krauzlis R.J., Miles F.A. Initiation of saccades during fixation or pursuit: Evidence in humans for a single mechanism. Journal of Neurophysiology 1996, 76(6):4175-4179.
40. Lagreze W.A., Gaggl M., Weigel M., Schulte-Monting J., Buhler A., Bach M., et al. Retrobulbar optic nerve diameter measured by high-speed magnetic resonance imaging as a biomarker for axonal loss in glaucomatous optic atrophy. Investigative Ophthalmology & Visual Science 2009, 50(9):4223-4228.
41. Leske M.C. Ocular perfusion pressure and glaucoma: Clinical trial and epidemiologic findings. Current Opinion in Ophthalmology 2009, 20(2):73-78.
42. Li Y., Cheng H., Duong T.Q. Blood-flow magnetic resonance imaging of the retina. Neuroimage 2008, 39(4):1744-1751.
43. Liu T.T., Wong E.C. A signal processing model for arterial spin labeling functional MRI. Neuroimage 2005, 24(1):207-215.
44. Lu K., Perthen J.E., Duncan R.O., Zangwill L.M., Liu T.T. Noninvasive measurement of the cerebral blood flow response in human lateral geniculate nucleus with arterial spin labeling fMRI. Human Brain Mapping 2008, 29(10):1207-1214.
45. Luh W.M., Wong E.C., Bandettini P.A., Ward B.D., Hyde J.S. Comparison of simultaneously measured perfusion and BOLD signal increases during brain activation with T(1)-based tissue identification. Magnetic Resonance in Medicine 2000, 44(1):137-143.
46. Martinez G.A., Sample P.A., Weinreb R.N. Comparison of high-pass resolution perimetry and standard automated perimetry in glaucoma. American Journal of Ophthalmology 1995, 119(2):195-201.
47. Ong K., Farinelli A., Billson F., Houang M., Stern M. Comparative study of brain magnetic resonance imaging findings in patients with low-tension glaucoma and control subjects. Ophthalmology 1995, 102(11):1632-1638.
48. Pelli D.G. The VideoToolbox software for visual psychophysics: Transforming numbers into movies. Spatial Vision 1997, 10(4):437-442.
49. Racette L., Sample P.A. Short-wavelength automated perimetry. Ophthalmology Clinics of North America 2003, 16(2):227-236. (vi-vii).
50. Racette L., Medeiros F.A., Zangwill L.M., Ng D., Weinreb R.N., Sample P.A. Diagnostic accuracy of the Matrix 24-2 and original N-30 frequency-doubling technology tests compared with standard automated perimetry. Investigative Ophthalmology & Visual Science 2008, 49(3):954-960.
51. Restom K., Behzadi Y., Liu T.T. Physiological noise reduction for arterial spin labeling functional MRI. Neuroimage 2006, 31(3):1104-1115.
52. Sample P.A., Medeiros F.A., Racette L., Pascual J.P., Boden C., Zangwill L.M., et al. Identifying glaucomatous vision loss with visual-function-specific perimetry in the diagnostic innovations in glaucoma study. Investigative Ophthalmology & Visual Science 2006, 47(8):3381-3389.
53. Schmidl D., Garhofer G., Schmetterer L. The complex interaction between ocular perfusion pressure and ocular blood flow - Relevance for glaucoma. Experimental Eye Research 2011, 93(2):141-155.
54. Sereno M.I., Dale A.M., Reppas J.B., Kwong K.K., Belliveau J.W., Brady T.J., et al. Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging. Science 1995, 268(5212):889-893.
55. Shen Q., Ren H., Cheng H., Fisher M., Duong T.Q. Functional, perfusion and diffusion MRI of acute focal ischemic brain injury. Journal of Cerebral Blood Flow and Metabolism 2005, 25(10):1265-1279.
56. Stefanovic B., Warnking J.M., Rylander K.M., Pike G.B. The effect of global cerebral vasodilation on focal activation hemodynamics. Neuroimage 2006, 30(3):726-734.
57. Stroman G.A., Stewart W.C., Golnik K.C., Cure J.K., Olinger R.E. Magnetic resonance imaging in patients with low-tension glaucoma. Archives of Ophthalmology 1995, 113(2):168-172.
58. Sugiyama T., Utsunomiya K., Ota H., Ogura Y., Narabayashi I., Ikeda T. Comparative study of cerebral blood flow in patients with normal-tension glaucoma and control subjects. American Journal of Ophthalmology 2006, 141(2):394-396.
59. Suzuki J., Tomidokoro A., Araie M., Tomita G., Yamagami J., Okubo T., et al. Visual field damage in normal-tension glaucoma patients with or without ischemic changes in cerebral magnetic resonance imaging. Japanese Journal of Ophthalmology 2004, 48(4):340-344.
60. Tjandra T., Brooks J.C., Figueiredo P., Wise R., Matthews P.M., Tracey I. Quantitative assessment of the reproducibility of functional activation measured with BOLD and MR perfusion imaging: Implications for clinical trial design. Neuroimage 2005, 27(2):393-401.
61. Tootell R.B., Hadjikhani N.K., Vanduffel W., Liu A.K., Mendola J.D., Sereno M.I., et al. Functional analysis of primary visual cortex (V1) in humans. Proceedings of the National Academy of Sciences of the United States of America 1998, 95(3):811-817.
62. Turpin A., McKendrick A.M., Johnson C.A., Vingrys A.J. Performance of efficient test procedures for frequency-doubling technology perimetry in normal and glaucomatous eyes. Investigative Ophthalmology & Visual Science 2002, 43(3):709-715.
63. Venkataraman S.T., Flanagan J.G., Hudson C. Vascular reactivity of optic nerve head and retinal blood vessels in glaucoma - A review. Microcirculation 2010, 17(7):568-581.
64. Vickers J.C., Hof P.R., Schumer R.A., Wang R.F., Podos S.M., Morrison J.H. Magnocellular and parvocellular visual pathways are both affected in a macaque monkey model of glaucoma. Australian and New Zealand Journal of Ophthalmology 1997, 25(3):239-243.
65. Wang J., Aguirre G.K., Kimberg D.Y., Roc A.C., Li L., Detre J.A. Arterial spin labeling perfusion fMRI with very low task frequency. Magnetic Resonance in Medicine 2003, 49(5):796-802.
66. Weber A.J., Chen H., Hubbard W.C., Kaufman P.L. Experimental glaucoma and cell size, density, and number in the primate lateral geniculate nucleus. Investigative Ophthalmology & Visual Science 2000, 41(6):1370-1379.
67. Weinreb R.N., Khaw P.T. Primary open-angle glaucoma. Lancet 2004, 363(9422):1711-1720.
68. Wong E.C., Buxton R.B., Frank L.R. Quantitative imaging of perfusion using a single subtraction (QUIPSS and QUIPSS II). Magnetic Resonance in Medicine 1998, 39(5):702-708.
69. Xu J., Sun S.W., Naismith R.T., Snyder A.Z., Cross A.H., Song S.K. Assessing optic nerve pathology with diffusion MRI: From mouse to human. NMR in Biomedicine 2008, 21(9):928-940.
70. Yanagi M., Kawasaki R., Wang J.J., Wong T.Y., Crowston J., Kiuchi Y. Vascular risk factors in glaucoma: A review. Clinical & Experimental Ophthalmology 2011, 39(3):252-258.
71. Yoshida Y., Sugiyama T., Sugasawa J., Nakajima M., Ikeda T., Utsunomiya K. A case of normal-tension glaucoma with impaired eye movements in a young patient. Nippon Ganka Gakkai Zasshi 2006, 110(6):477-483.
72. Yoshida Y., Sugiyama T., Utsunomiya K., Ogura Y., Ikeda T. A pilot study for the effects of donepezil therapy on cerebral and optic nerve head blood flow, visual field defect in normal-tension glaucoma. Journal of Ocular Pharmacology and Therapeutics 2010, 26(2):187-192.
73. Yucel Y.H., Zhang Q., Gupta N., Kaufman P.L., Weinreb R.N. Loss of neurons in magnocellular and parvocellular layers of the lateral geniculate nucleus in glaucoma. Archives of Ophthalmology 2000, 118(3):378-384.
74. Yucel Y.H., Zhang Q., Weinreb R.N., Kaufman P.L., Gupta N. Atrophy of relay neurons in magno- and parvocellular layers in the lateral geniculate nucleus in experimental glaucoma. Investigative Ophthalmology & Visual Science 2001, 42(13):3216-3222.
75. Yucel Y.H., Zhang Q., Weinreb R.N., Kaufman P.L., Gupta N. Effects of retinal ganglion cell loss on magno-, parvo-, koniocellular pathways in the lateral geniculate nucleus and visual cortex in glaucoma. Progress in Retinal and Eye Research 2003, 22(4):465-481.