Recent progress in high-resolution functional MRI

Current Opinion in Neurology

Volumn 24, Issue 4, 2011, Pages 401-408

  Cheng, Kang ^a  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

columns; high resolution functional MRI; layers; microvasculature; modular representations; multivariate pattern analysis

Indexed keywords

BOLD SIGNAL; BRAIN DEPTH STIMULATION; BRAIN FUNCTION; BRAIN STEM; EYE DOMINANCE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; LATERAL GENICULATE NUCLEUS; MICROVASCULATURE; OUTCOME ASSESSMENT; REVIEW; VENTRAL TEGMENTUM;

ANIMALS; BRAIN; BRAIN MAPPING; HUMANS; MAGNETIC RESONANCE IMAGING;

EID: 79960789246     PISSN: 13507540     EISSN: 14736551     Source Type: Journal    
DOI: 10.1097/WCO.0b013e3283489711     Document Type: Review

References (157)

1. Turner R. How much cortex can a vein drain? Downstream dilution of activation-related cerebral blood oxygenation changes. Neuroimage 2002; 16:1062-1067.
2. Olman CA, Inati S, Heeger DJ. The effect of large veins on spatial localization with GE BOLD at 3 T: displacement, not blurring. Neuroimage 2007; 34:1126-1135. (Pubitemid 46394465)
3. Engel SA, Glover GH, Wandell BA. Retinotopic organization in human visual cortex and the spatial precision of functional MRI. Cereb Cortex 1997; 7:181-192. (Pubitemid 27120280)
4. Parkes LM, Schwarzbach JV, Bouts AA, et al. Quantifying the spatial resolution of the gradient echo and spin echo BOLD response at 3 Tesla. Magn Reson Med 2005; 54:1465-1472. (Pubitemid 41740776)
5. Shmuel A, Yacoub E, Chaimow D, et al. Spatio-temporal point-spread function of fMRI signal in human gray matter at 7 Tesla. Neuroimage 2007; 35:539-552. (Pubitemid 46400564)
6. Yacoub E, Duong TQ, Van De Moortele PF, et al. Spin-echo fMRI in humans using high spatial resolutions and high magnetic fields. Magn Reson Med 2003; 49:655-664. (Pubitemid 36389975)
7. Yacoub E, Van De Moortele PF, Shmuel A, et al. Signal and noise characteristics of Hahn SE and GE BOLD fMRI at 7 T in humans. Neuroimage 2005; 24:738-750. (Pubitemid 40094556)
8. Yacoub E, Shmuel A, Logothetis N, et al. Robust detection of ocular dominance columns in humans using Hahn Spin Echo BOLD functional MRI at 7 Tesla. Neuroimage 2007; 37:1161-1177. (Pubitemid 47385267)
9. Yacoub E, Harel N, Ugurbil K. High-field fMRI unveils orientation columns in humans. Proc Natl Acad Sci USA 2008; 105:10607-10612.
10. Kim T, Kim SG. Temporal dynamics and spatial specificity of arterial and venous blood volume changes during visual stimulation: implication for BOLD quantification. J Cereb Blood Flow Metab 2011; 31:1211-1222.
11. Qian Y, Zhao T, Hue YK, et al. High-resolution spiral imaging on a whole-body 7T scanner with minimized image blurring. Magn Reson Med 2010; 63:543-552.
12. Carr VA, Rissman J, Wagner AD. Imaging the human medial temporal lobe with high-resolution fMRI. Neuron 2010; 65:298-308.
13. Hoffmann MB, Stadler J, Kanowski M, et al. Retinotopic mapping of the human visual cortex at a magnetic field strength of 7T. Clin Neurophysiol 2009; 120:108-116.
14. Olman CA, Van de Moortele PF, Schumacher JF, et al. Retinotopic mapping with spin echo BOLD at 7T. Magn Reson Imaging 2010; 28:1258-1269.
15. Formisano E, Kim DS, Di Salle F, et al. Mirror-symmetric tonotopic maps in human primary auditory cortex. Neuron 2003; 40:859-869. (Pubitemid 37431044)
16. Van Der Zwaag W, Gentile G, Gruetter R, et al. Where sound position influences sound object representations: a 7-T fMRI study. Neuroimage 2011; 54:1803-1811.
17. Sanchez-Panchuelo RM, Francis S, Bowtell R, et al. Mapping human somatosensory cortex in individual subjects with 7T functional MRI. J Neurophysiol 2010; 103:2544-2556.
18. Stringer EA, Chen LM, Friedman RM, et al. Differentiation of somatosensory cortices by high-resolution fMRI at 7 T. Neuroimage 2011; 54:1012-1020.
19. Meier JD, Aflalo TN, Kastner S, et al. Complex organization of human primary motor cortex: a high-resolution fMRI study. J Neurophysiol 2008; 100:1800-1812.
20. Menon RS, Ogawa S, Strupp JP, et al. Ocular dominance in human V1 demonstrated by functional magnetic resonance imaging. J Neurophysiol 1997; 77:2780-2787. (Pubitemid 27209238)
21. Menon RS, Goodyear BG. Submillimeter functional localization in human striate cortex using BOLD contrast at 4 Tesla: implications for the vascular point-spread function. Magn Reson Med 1999; 41:230-235. (Pubitemid 29104505)
22. Dechent P, Frahm J. Direct mapping of ocular dominance columns in human primary visual cortex. Neuroreport 2000; 11:3247-3249.
23. Goodyear BG, Menon RS. Brief visual stimulation allows mapping of ocular dominance in visual cortex using fMRI. Hum Brain Mapp 2001; 14:210-217. (Pubitemid 33117499)
24. Cheng K, Waggoner RA, Tanaka K. Human ocular dominance columns as revealed by high-field functional magnetic resonance imaging. Neuron 2001; 32:359-374. (Pubitemid 33030202)
25. Zhang N, Zhu XH, Yacoub E, et al. Functional MRI mapping neuronal inhibition and excitation at columnar level in human visual cortex. Exp Brain Res 2010; 204:515-524.
26. Kim DS, Duong TQ, Kim SG. High-resolution mapping of iso-orientation columns by fMRI. Nat Neurosci 2000; 3:164-169. (Pubitemid 30126332)
27. Duong TQ, Kim DS, Ugurbil K, et al. Localized cerebral blood flow response at submillimeter columnar resolution. Proc Natl Acad Sci USA 2001; 98:10904-10909. (Pubitemid 32878717)
28. Fukuda M, Moon CH, Wang P, et al. Mapping iso-orientation columns by contrast agent-enhanced functional magnetic resonance imaging: reproducibility, specificity, and evaluation by optical imaging of intrinsic signal. J Neurosci 2006; 26:11821-11832. (Pubitemid 44772092)
29. Moon CH, Fukuda M, Park SH, et al. Neural interpretation of blood oxygenation level-dependent fMRI maps at submillimeter columnar resolution. J Neurosci 2007; 27:6892-6902. (Pubitemid 47015897)
30. Sun P, Ueno K, Waggoner RA, et al. A temporal frequency-dependent functional architecture in human V1 revealed by high-resolution fMRI. Nat Neurosci 2007; 10:1404-1406. (Pubitemid 350014674)
31. Duvernoy HM, Delon S, Vannson JL. Cortical blood vessels of the human brain. Brain Res Bull 1981; 7:519-579. (Pubitemid 12189522)
32. Masamoto K, Kurachi T, Takizawa N, et al. Successive depth variations in microvascular distribution of rat somatosensory cortex. Brain Res 2003; 995:66-75. (Pubitemid 37486016)
33. Tsai PS, Kaufhold JP, Blinder P, et al. Correlations of neuronal and microvascular densities in murine cortex revealed by direct counting and colocalization of nuclei and vessels. J Neurosci 2009; 29:14553-14570.
34. Tieman SB, Mollers S, Tieman DG, et al. The blood supply of the cat's visual cortex and its postnatal development. Brain Res 2004; 998:100-112. (Pubitemid 38077130)
35. Zheng D, LaMantia AS, Purves D. Specialized vascularization of the primate visual cortex. J Neurosci 1991; 11:2622-2629.
36. Weber B, Keller AL, Reichold J, et al. The microvascular system of the striate and extrastriate visual cortex of the macaque. Cereb Cortex 2008; 18:2318-2330.
37. Keller AL, Schuz A, Logothetis NK, et al. Vascularization of cytochrome oxidase-rich blobs in the primary visual cortex of squirrel and macaque monkeys. J Neurosci 2011; 31:1246-1253.
38. Lauwers F, Cassot F, Lauwers-Cances V, et al. Morphometry of the human cerebral cortex microcirculation: general characteristics and space-related profiles. Neuroimage 2008; 39:936-948.
39. McCaslin AF, Chen BR, Radosevich AJ, et al. In vivo 3D morphology of astrocyte-vasculature interactions in the somatosensory cortex: implications for neurovascular coupling. J Cereb Blood Flow Metab 2011; 31:795-806.
40. Fukunaga M, Li TQ, van Gelderen P, et al. Layer-specific variation of iron content in cerebral cortex as a source of MRI contrast. Proc Natl Acad Sci USA 2010; 107:3834-3839.
41. Tian P, Teng IC, May LD, et al. Cortical depth-specific microvascular dilation underlies laminar differences in blood oxygenation level-dependent functional MRI signal. Proc Natl Acad Sci USA 2010; 107:15246-15251.
42. Silva AC, Koretsky AP. Laminar specificity of functional MRI onset times during somatosensory stimulation in rat. Proc Natl Acad Sci USA 2002; 99:15182-15187. (Pubitemid 35334630)
43. Weng JC, Chuang KH, Goloshevsky A, et al. Mapping plasticity in the forepaw digit barrel subfield of rat brains using functional MRI. Neuroimage 2011; 54:1122-1129.
44. Harel N, Lin J, Moeller S, et al. Combined imaging-histological study of cortical laminar specificity of fMRI signals. Neuroimage 2006; 29:879-887. (Pubitemid 43121213)
45. Zhao F, Wang P, Hendrich K, et al. Cortical layer-dependent BOLD and CBV responses measured by spin-echo and gradient-echo fMRI: insights into hemodynamic regulation. Neuroimage 2006; 30:1149-1160.
46. Goense JB, Logothetis NK. Laminar specificity in monkey V1 using highresolution SE-fMRI. Magn Reson Imaging 2006; 24:381-392.
47. Ress D, Glover GH, Liu J, et al. Laminar profiles of functional activity in the human brain. Neuroimage 2007; 34:74-84. (Pubitemid 44765242)
48. Koopmans PJ, Barth M, Norris DG. Layer-specific BOLD activation in human V1. Hum Brain Mapp 2010; 31:1297-1304.
49. Polimeni JR, Fischl B, Greve DN, et al. Laminar analysis of 7T BOLD using an imposed spatial activation pattern in human V1. Neuroimage 2010; 52: 1334-1346.
50. Chen W, Kato T, Zhu XH, et al. Mapping of lateral geniculate nucleus activation during visual stimulation in human brain using fMRI. Magn Reson Med 1998; 39:89-96. (Pubitemid 28028343)
51. Kastner S, O'Connor DH, Fukui MM, et al. Functional imaging of the human lateral geniculate nucleus and pulvinar. J Neurophysiol 2004; 91: 438-448. (Pubitemid 38084386)
52. Chen W, Zhu XH, Thulborn KR, et al. Retinotopic mapping of lateral geniculate nucleus in humans using functional magnetic resonance imaging. Proc Natl Acad Sci USA 1999; 96:2430-2434. (Pubitemid 29117932)
53. Schneider KA, Richter MC, Kastner S. Retinotopic organization and functional subdivisions of the human lateral geniculate nucleus: a high-resolution functional magnetic resonance imaging study. J Neurosci 2004; 24:8975-8985. (Pubitemid 39372242)
54. Zhang N, Zhu XH, Zhang Y, et al. High-resolution fMRI mapping of ocular dominance layers in cat lateral geniculate nucleus. Neuroimage 2010; 50:1456-1463.
55. DuBois RM, Cohen MS. Spatiotopic organization in human superior colliculus observed with fMRI. Neuroimage 2000; 12:63-70. (Pubitemid 30602064)
56. Schneider KA, Kastner S. Visual responses of the human superior colliculus: a high-resolution functional magnetic resonance imaging study. J Neurophysiol 2005; 94:2491-2503. (Pubitemid 41324673)
57. Sylvester R, Josephs O, Driver J, et al. Visual FMRI responses in human superior colliculus show a temporal-nasal asymmetry that is absent in lateral geniculate and visual cortex. J Neurophysiol 2007; 97:1495-1502. (Pubitemid 46239523)
58. Schultz W. Predictive reward signal of dopamine neurons. J Neurophysiol 1998; 80:1-27. (Pubitemid 28326237)
59. D'Ardenne K, McClure SM, Nystrom LE, et al. BOLD responses reflecting dopaminergic signals in the human ventral tegmental area. Science 2008; 319:1264-1267. (Pubitemid 351323026)
60. Ungless MA, Magill PJ, Bolam JP. Uniform inhibition of dopamine neurons in the ventral tegmental area by aversive stimuli. Science 2004; 303:2040-2042. (Pubitemid 38393283)
61. Duzel E, Bunzeck N, Guitart-Masip M, et al. Functional imaging of the human dopaminergic midbrain. Trends Neurosci 2009; 32:321-328.
62. Cho ZH, Son YD, Kim HK, et al. A fusion PET-MRI system with a highresolution research tomograph-PET and ultra-high field 7.0 T-MRI for the molecular-genetic imaging of the brain. Proteomics 2008; 8:1302-1323.
63. EapenM, Zald DH, Gatenby JC, et al. Using high-resolution MR imaging at 7T to evaluate the anatomy of the midbrain dopaminergic system. Am J Neuroradiol 2011; 32:688-694.
64. Grill-Spector K, Malach R. The human visual cortex. Annu Rev Neurosci 2004; 27:649-677. (Pubitemid 39050416)
65. Op de Beeck HP, Haushofer J, Kanwisher NG. Interpreting fMRI data: maps, modules and dimensions. Nat Rev Neurosci 2008; 9:123-135.
66. Farah MJ, McMullen PA, Meyer MM. Can recognition of living things be selectively impaired? Neuropsychologia 1991; 29:185-193.
67. Fujita I, Tanaka K, Ito M, et al. Columns for visual features of objects in monkey inferotemporal cortex. Nature 1992; 360:343-346. (Pubitemid 23000671)
68. Saleem KS, Tanaka K, Rockland KS. Specific and columnar projection from area TEO to TE in the macaque inferotemporal cortex. Cereb Cortex 1993; 3:454-464. (Pubitemid 23303422)
69. Fujita I, Fujita T. Intrinsic Connections in the macaque inferior temporal cortex. J Comp Neurol 1996; 368:467-486. (Pubitemid 26137465)
70. Wang G, Tanaka K, Tanifuji M. Optical imaging of functional organization in the monkey inferotemporal cortex. Science 1996; 272:1665-1668. (Pubitemid 26200028)
71. Sergent J, Ohta S, MacDonald B. Functional neuroanatomy of face and object processing. A positron emission tomography study. Brain 1992; 115:15-36.
72. Kanwisher N, McDermott J, Chun MM. The fusiform face area: a module in human extrastriate cortex specialized for face perception. J Neurosci 1997; 17:4302-4311. (Pubitemid 27220621)
73. Aguirre GK, Zarahn E, D'Esposito M. An area within human ventral cortex sensitive to 'building' stimuli: evidence and implications. Neuron 1998; 21:373-383. (Pubitemid 28399697)
74. Epstein R, Kanwisher N. A cortical representation of the local visual environment. Nature 1998; 392:598-601. (Pubitemid 28207715)
75. Downing PE, Jiang Y, Shuman M, et al. A cortical area selective for visual processing of the human body. Science 2001; 293:2470-2473. (Pubitemid 32917331)
76. Peelen MV, Downing PE. Selectivity for the human body in the fusiform gyrus. J Neurophysiol 2005; 93:603-608. (Pubitemid 40626865)
77. Gauthier I, Tarr MJ, Anderson AW, et al. Activation of the middle fusiform 'face area' increases with expertise in recognizing novel objects. Nat Neurosci 1999; 2:568-573. (Pubitemid 30491239)
78. Haxby JV, Gobbini MI, Furey ML, et al. Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 2001; 293:2425-2430. (Pubitemid 32917318)
79. Hanson SJ, Matsuka T, Haxby JV. Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a 'face' area? Neuroimage 2004; 23:156-166. (Pubitemid 39119445)
80. Schwarzlose RF, Baker CI, Kanwisher N. Separate face and body selectivity on the fusiform gyrus. J Neurosci 2005; 25:11055-11059. (Pubitemid 41692635)
81. Tsao DY, Freiwald WA, Tootell RB, et al. A cortical region consisting entirely of face-selective cells. Science 2006; 311:670-674. (Pubitemid 43191313)
82. Grill-Spector K, Sayres R, Ress D. High-resolution imaging reveals highly selective nonface clusters in the fusiform face area. Nat Neurosci 2006; 9:1177-1185. (Pubitemid 44306312)
83. Hanson SJ, Schmidt A. High-resolution imaging of the fusiform face area (FFA) using multivariate nonlinear classifiers shows diagnosticity for nonface categories. Neuroimage 2011; 54:1715-1734.
84. Tsao DY, Freiwald WA, Knutsen TA, et al. Faces and objects in macaque cerebral cortex. Nat Neurosci 2003; 6:989-995. (Pubitemid 37064762)
85. Moeller S, Freiwald WA, Tsao DY. Patches with links: a unified system for processing faces in the macaque temporal lobe. Science 2008; 320:1355-1359. (Pubitemid 351929474)
86. Tsao DY, Moeller S, Freiwald WA. Comparing face patch systems in macaques and humans. Proc Natl Acad Sci USA 2008; 105:19514-19519.
87. Freiwald WA, Tsao DY. Functional compartmentalization and viewpoint generalization within the macaque face-processing system. Science 2010; 330:845-851.
88. Pinsk MA, Arcaro M, Weiner KS, et al. Neural representations of faces and body parts in macaque and human cortex: a comparative FMRI study. J Neurophysiol 2009; 101:2581-2600.
89. Kriegeskorte N, Formisano E, Sorger B, et al. Individual faces elicit distinct response patterns in human anterior temporal cortex. Proc Natl Acad Sci USA 2007; 104:20600-20605.
90. Rajimehr R, Young JC, Tootell RB. An anterior temporal face patch in human cortex, predicted by macaque maps. Proc Natl Acad Sci USA 2009; 106:1995-2000.
91. Weiner KS, Grill-Spector K. Sparsely-distributed organization of face and limb activations in human ventral temporal cortex. Neuroimage 2010; 52:1559-1573.
92. Eger E, Ashburner J, Haynes JD, et al. fMRI activity patterns in human LOC carry information about object exemplars within category. J Cogn Neurosci 2008; 20:356-370. (Pubitemid 351159095)
93. Op de Beeck HP, Brants M, Baeck A, et al. Distributed subordinate specificity for bodies, faces, and buildings in human ventral visual cortex. Neuroimage 2010; 49:3414-3425.
94. Haynes JD, Rees G. Decoding mental states from brain activity in humans. Nat Rev Neurosci 2006; 7:523-534. (Pubitemid 43989773)
95. Norman KA, Polyn SM, Detre GJ, et al. Beyond mind-reading: multivoxel pattern analysis of fMRI data. Trends Cogn Sci 2006; 10:424-430. (Pubitemid 44308461)
96. O'Toole AJ, Jiang F, Abdi H, et al. Theoretical, statistical, and practical perspectives on pattern-based classification approaches to the analysis of functional neuroimaging data. J Cogn Neurosci 2007; 19:1735-1752. (Pubitemid 350043418)
97. Haynes JD. Decoding visual consciousness from human brain signals. Trends Cogn Sci 2009; 13:194-202.
98. Weil RS, Rees G. Decoding the neural correlates of consciousness. Curr Opin Neurol 2010; 23:649-655.
99. Naselaris T, Kay KN, Nishimoto S, et al. Encoding and decoding in fMRI. Neuroimage 2011; 56:400-410.
100. Logothetis NK. What we can do and what we cannot do with fMRI. Nature 2008; 453:869-878. (Pubitemid 351832564)
101. Bartels A, Logothetis NK, Moutoussis K. fMRI and its interpretations: an illustration on directional selectivity in area V5/MT. Trends Neurosci 2008; 31:444-453.
102. Raizada RDS, Kriegeskorte N. Pattern-information fMRI: new questions which it opens up and challenges which face it. Int J Imaging Syst Technol 2010; 20:31-41.
103. Kamitani Y, Tong F. Decoding the visual and subjective contents of the human brain. Nat Neurosci 2005; 8:679-685. (Pubitemid 40594211)
104. Haynes JD, Rees G. Predicting the orientation of invisible stimuli from activity in human primary visual cortex. Nat Neurosci 2005; 8:686-691. (Pubitemid 40594212)
105. Boynton GM. Imaging orientation selectivity: decoding conscious perception in V1. Nat Neurosci 2005; 8:541-542. (Pubitemid 40594186)
106. Gardner JL. Is cortical vasculature functionally organized? Neuroimage 2010; 49:1953-1956.
107. Gardner JL, Sun P, Tanaka K, et al. Classification analysis with high resolution fMRI reveals large draining veins with orientation specific responses. Society for Neuroscience, Atlanta, GA; 2006.
108. Shmuel A, Chaimow D, Raddatz G, et al.Mechanisms underlying decoding at T: ocular dominance columns, broad structures, and macroscopic blood vessels in V1 convey information on the stimulated eye. Neuroimage 2010; 49:1957-1964.
109. Op de Beeck HP. Against hyperacuity in brain reading: spatial smoothing does not hurt multivariate fMRI analyses? Neuroimage 2010; 49:1943-1948.
110. Kamitani Y, Sawahata Y. Spatial smoothing hurts localization but not information: pitfalls for brain mappers. Neuroimage 2010; 49:1949-1952.
111. Kriegeskorte N, Cusack R, Bandettini P. How does an fMRI voxel sample the neuronal activity pattern: compact-kernel or complex spatiotemporal filter? Neuroimage 2010; 49:1965-1976.
112. Swisher JD, Gatenby JC, Gore JC, et al. Multiscale pattern analysis of orientation-selective activity in the primary visual cortex. J Neurosci 2010; 30:325-330.
113. Parkes LM, Marsman JB, Oxley DC, et al. Multivoxel fMRI analysis of color tuning in human primary visual cortex. J Vis 2009; 9:1-13.
114. Seymour K, Clifford CW, Logothetis NK, et al. Coding and binding of color and form in visual cortex. Cereb Cortex 2010; 20:1946-1954.
115. Sterzer P, Haynes JD, Rees G. Fine-scale activity patterns in high-level visual areas encode the category of invisible objects. J Vis 2008; 8:11-12.
116. Howard JD, Plailly J, Grueschow M, et al. Odor quality coding and categorization in human posterior piriform cortex. Nat Neurosci 2009; 12:932-938.
117. Bandettini PA. What's new in neuroimaging methods? Ann N Y Acad Sci 2009; 1156:260-293.
118. Bandettini PA. Seven topics in functional magnetic resonance imaging. J Integr Neurosci 2009; 8:371-403.
119. Triantafyllou C, Hoge RD, Krueger G, et al. Comparison of physiological noise at 1.5 T, 3 T and 7 T and optimization of fMRI acquisition parameters. Neuroimage 2005; 26:243-250. (Pubitemid 40602903)
120. Triantafyllou C, Polimeni JR, Wald LL. Physiological noise and signal-to-noise ratio in fMRI with multichannel array coils. Neuroimage 2011; 55:597-606.
121. Pruessmann KP, Weiger M, Scheidegger MB, et al. SENSE: sensitivity encoding for fast MRI. Magn Reson Med 1999; 42:952-962. (Pubitemid 29521486)
122. Griswold MA, Jakob PM, Heidemann RM, et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn Reson Med 2002; 47:1202-1210. (Pubitemid 34587412)
123. Wiesinger F, Van de Moortele PF, Adriany G, et al. Parallel imaging performance as a function of field strength-an experimental investigation using electrodynamic scaling. Magn Reson Med 2004; 52:953-964. (Pubitemid 39453268)
124. de Zwart JA, van Gelderen P, Golay X, et al. Accelerated parallel imaging for functional imaging of the human brain. NMR Biomed 2006; 19:342-351. (Pubitemid 43811107)
125. Moeller S, Yacoub E, Olman CA, et al. Multiband multislice GE-EPI at 7 tesla, with 16-fold acceleration using partial parallel imaging with application to high spatial and temporal whole-brain fMRI. Magn Reson Med 2010; 63:1144-1153.
126. Poser BA, Koopmans PJ, Witzel T, et al. Three dimensional echo-planar imaging at 7 Tesla. Neuroimage 2010; 51:261-266.
127. Weiger M, Pruessmann KP, Osterbauer R, et al. Sensitivity-encoded singleshot spiral imaging for reduced susceptibility artifacts in BOLD fMRI. Magn Reson Med 2002; 48:860-866. (Pubitemid 35340327)
128. Goense JB, Ku SP, Merkle H, et al. fMRI of the temporal lobe of the awake monkey at 7 T. Neuroimage 2008; 39:1081-1093.
129. Deng W, Yang C, Alagappan V, et al. Simultaneous z-shim method for reducing susceptibility artifacts with multiple transmitters. Magn Reson Med 2009; 61:255-259.
130. Goerke U, Garwood M, Ugurbil K. Functional magnetic resonance imaging using RASER. Neuroimage 2011; 54:350-360.
131. Woolsey TA, Rovainen CM, Cox SB, et al. Neuronal units linked to microvascular modules in cerebral cortex: response elements for imaging the brain. Cereb Cortex 1996; 6:647-660. (Pubitemid 26337836)
132. Harel N, Bolan PJ, Turner R, et al. Recent advances in high-resolution MR application and its implications for neurovascular coupling research. Front Neuroenergetics 2010; 2:130. In this excellent review, the authors emphasize the importance of systematically studying cortical microvasculature for better understanding the neurovascular coupling and argue that it is now possible to obtain in-vivo microvascular information at the level of intracortical arterioles and venules.
133. Duvernoy H, Delon S, Vannson JL. The vascularization of the human cerebellar cortex. Brain Res Bull 1983; 11:419-480. (Pubitemid 14249237)
134. Reina-De La Torre F, Rodriguez-Baeza A, Sahuquillo-Barris J. Morphological characteristics and distribution pattern of the arterial vessels in human cerebral cortex: a scanning electron microscope study. Anat Rec 1998; 251:87-96. (Pubitemid 28193955)
135. Nonaka H, Akima M, Nagayama T, et al. Microvasculature of the human cerebral meninges. Neuropathology 2003; 23:129-135. (Pubitemid 36542416)
136. Plouraboue F, Cloetens P, Fonta C, et al. X-ray high-resolution vascular network imaging. J Microsc 2004; 215:139-148. (Pubitemid 39118330)
137. Cassot F, Lauwers F, Fouard C, et al. A novel three-dimensional computerassisted method for a quantitative study of microvascular networks of the human cerebral cortex. Microcirculation 2006; 13:1-18. (Pubitemid 43050886)
138. Heinzer S, Krucker T, Stampanoni M, et al. Hierarchical microimaging for multiscale analysis of large vascular networks. Neuroimage 2006; 32:626-636. (Pubitemid 44149147)
139. Bolan PJ, Yacoub E, Garwood M, et al. In vivo micro-MRI of intracortical neurovasculature. Neuroimage 2006; 32:62-69.
140. Matthews PM, Honey GD, Bullmore ET. Applications of fMRI in translational medicine and clinical practice. Nat Rev Neurosci 2006; 7:732-744. (Pubitemid 44267497)
141. Calhoun VD, Maciejewski PK, Pearlson GD, et al. Temporal lobe and 'default' hemodynamic brain modes discriminate between schizophrenia and bipolar disorder. Hum Brain Mapp 2008; 29:1265-1275.
142. Szaflarski JP, Holland SK, Jacola LM, et al. Comprehensive presurgical functional MRI language evaluation in adult patients with epilepsy. Epilepsy Behav 2008; 12:74-83. (Pubitemid 350246353)
143. Mechanic-Hamilton D, Korczykowski M, Yushkevich PA, et al. Hippocampal volumetry and functional MRI of memory in temporal lobe epilepsy. Epilepsy Behav 2009; 16:128-138.
144. Shimony JS, Zhang D, Johnston JM, et al. Resting-state spontaneous fluctuations in brain activity: a new paradigm for presurgical planning using fMRI. Acad Radiol 2009; 16:578-583.
145. Voyvodic JT, Petrella JR, Friedman AH. fMRI activation mapping as a percentage of local excitation: consistent presurgical motor maps without threshold adjustment. J Magn Reson Imaging 2009; 29:751-759.
146. LaConte SM, Peltier SJ, Hu XP. Real-time fMRI using brain-state classification. Hum Brain Mapp 2007; 28:1033-1044. (Pubitemid 47549707)
147. Lee JH, Ryu J, Jolesz FA, et al. Brain-machine interface via real-time fMRI: preliminary study on thought-controlled robotic arm. Neurosci Lett 2009; 450:1-6.
148. deCharms RC. Reading and controlling human brain activation using realtime functional magnetic resonance imaging. Trends Cogn Sci 2007; 11:473-481.
149. Weiskopf N, Sitaram R, Josephs O, et al. Real-time functional magnetic resonance imaging: methods and applications. Magn Reson Imaging 2007; 25:989-1003. (Pubitemid 47081352)
150. deCharms RC, Maeda F, Glover GH, et al. Control over brain activation and pain learned by using real-time functional MRI. Proc Natl Acad Sci USA 2005; 102:18626-18631. (Pubitemid 43011276)
151. Goebel et al. Curr Opin Neurol 2011; 24:378-385.
152. Duyn JH, van Gelderen P, Li TQ, et al. High-field MRI of brain cortical substructure based on signal phase. Proc Natl Acad Sci USA 2007; 104:11796-11801. (Pubitemid 47175092)
153. Marques JP, Van Der Zwaag W, Granziera C, et al. Cerebellar cortical layers: in vivo visualization with structural high-field-strength MR imaging. Radiology 2010; 254:942-948.
154. Metcalf M, Xu D, Okuda DT, et al. High-resolution phased-array MRI of the human brain at 7 tesla: initial experience in multiple sclerosis patients. J Neuroimaging 2010; 20:141-147.
155. Abosch A, Yacoub E, Ugurbil K, et al. An assessment of current brain targets for deep brain stimulation surgery with susceptibility-weighted imaging at 7 tesla. Neurosurgery 2010; 67:1745-1756; discussion 1756. This study shows that high-resolution anatomical MRI can be used for targeting of deep brain stimulation.
156. Moser E. Ultra-high-field magnetic resonance: why and when? World J Radiol 2010; 2:37-40.
157. Duyn JH. Study of brain anatomy with high-field MRI: recent progress. Magn Reson Imaging 2010; 28:1210-1215.