Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging

Nature Reviews Neuroscience

Volumn 8, Issue 9, 2007, Pages 700-711

  Fox, Michael D ^a   Raichle, Marcus E ^b  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b WASHINGTON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

OXYGEN;

ALGORITHM; AUDITORY CORTEX; BRAIN ELECTROPHYSIOLOGY; BRAIN OXYGEN CONSUMPTION; ELECTRIC FIELD; ELECTROENCEPHALOGRAPHY; EPISODIC MEMORY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HIPPOCAMPUS; IMAGE ANALYSIS; MAGNETOENCEPHALOGRAPHY; NERVE CELL; NEUROIMAGING; NONHUMAN; PRIORITY JOURNAL; REVIEW; SIGNAL DETECTION; SIGNAL NOISE RATIO; TASK PERFORMANCE; VISUAL CORTEX;

ANIMALS; BRAIN; BRAIN MAPPING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; OXYGEN;

EID: 34548014282     PISSN: 1471003X     EISSN: 14710048     Source Type: Journal    
DOI: 10.1038/nrn2201     Document Type: Review

References (161)

1. Hubel, D. H. & Wiesel, T. N. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J. Physiol. (London) 160, 106-154 (1962).
2. Posner, M. I. & Raichle, M. E. Images of Mind (W. H. Freeman & Company, New York, 1994).
3. Buzsaki, G. & Draguhn, A. Neuronal oscillations in cortical networks. Science 304, 1926-1929 (2004). An excellent introduction to the role of oscillations over a wide frequency range in supporting cortical network structure.
4. Varella, F., Lachaux, J.-P., Rodriguez, E. & Martinerie, J. The brainweb: phase synchronization and large-scale integration. Nature Rev. Neurosci. 2, 229-239 (2001).
5. Shulman, R. G., Rothman, D. L., Behar, K. L. & Hyder, F. Energetic basis of brain activity: implications for neuroimaging. Trends Neurosci. 27, 489-495 (2004).
6. Attwell, D. & Laughlin, S. B. An energy budget for signalling in the grey matter of the brain. J. Cereb. Blood Flow Metab. 21, 1133-1145 (2001).
7. Ames, A. I. CNS energy metabolism as related to function. Brain Res. Rev. 34, 42-68 (2000).
8. Lennie, P. The cost of cortical computation. Curr. Biol. 13, 493-497 (2003).
9. Raichle, M. E. & Mintun, M. A. Brain work and brain imaging. Annu. Rev. Neurosci. 29, 449-76 (2006). A comprehensive review of brain circulation and metabolism, its relationship to neurophysiology and functional brain imaging signals.
10. Cordes, D. et al. Mapping functionally related regions of brain with functional connectivity MR imaging. Am. J. Neuroradiol. 21, 1636-1644 (2000).
11. Lowe, M. J., Mock, B. J. & Sorenson, J. A. Functional connectivity in single and multislice echoplanar imaging using resting-state fluctuations. Neuroimage 7, 119-132 (1998).
12. Cordes, D. et al. Frequencies contributing to functional connectivity in the cerebral cortex in 'resting-state' data. Am. J. Neuroradiol. 22, 1326-1333 (2001).
13. Xiong, J., Parsons, L. M., Gao, J. H. & Fox, P. T. Interregional connectivity to primary motor cortex revealed using MRI resting state images. Hum. Brain Mapp. 8, 151-156 (1999).
14. Fox, M. D., Snyder, A. Z., Zacks, J. M. & Raichle, M. E. Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses. Nature Neurosci. 9, 23-25 (2006).
15. De Luca, M., Smith, S. M., De Stefano, N., Federico, A. & Matthews, P. M. Blood oxygenation level dependent contrast resting state networks are relevant to functional activity in the neocortical sensorimotor system. Exp. Brain Res. 167, 587-594 (2005).
16. Zarahn, E., Aguirre, G. K. & D'Esposito, M. Empirical analyses of BOLD fMRI statistics. I. Spatially unsmoothed data collected under null-hypothesis conditions. Neuroimage 5, 179-197 (1997).
17. Wise, R. J. S., Ide, K., Poulin, M. J. & Tracey, I. Resting state fluctuations in arterial carbon dioxide induce significant low frequency variations in BOLD signal. Neuroimage 21, 1652-1664 (2004).
18. Birn, R. M., Diamond, J. B., Smith, M. A. & Bandettini, P. A. Separating respiratory-variation-related fluctuations from neuronal-activity- related fluctuations in fMRI. Neuroimage 31, 1536-1548 (2006).
19. Lund, T. E., Madsen, K. H., Sidaros, K., Luo, W. & Nichols, T. E. Non-white noise in fMRI: does modelling have an impact? Neuroimage 29, 54-66 (2006).
20. Glover, G. H., Li, T. Q. & Ress, D. Image-based method for retrospective correction of physiological motion artifacts in fMRI: RETROICOR. Magn. Res. Med. 44, 162-167 (2000).
21. Biswal, B., Yetkin, F., Haughton, V. & Hyde, J. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn. Res. Med. 34, 537-541 (1995). The first paper to note the presence of spontaneous, spatially coherent activity in the fMRI BOLD signal.
22. De Luca, M., Beckmann, C. F., De Stefano, N., Matthews, P. M. & Smith, S. M. fMRI resting state networks define distinct modes of long-distance interactions in the human brain. Neuroimage 29, 1359-1367 (2006).
23. Deshpande, G., LaConte, S., Peltier, S. & Hu, X. Tissue specificity of nonlinear dynamics in baseline fMRI. Magn. Res. Med. 55, 626-632 (2006).
24. Rombouts, S. A., Stam, C. J., Kuijer, J. P., Scheltens, P. & Barkhof, F. Identifying confounds to increase specificity during a 'no task condition'. Evidence for hippocampal connectivity using fMRI. Neuroimage 20, 1236-1245 (2003).
25. Bartels, A. & Zeki, S. The chronoarchitecture of the human brain - natural viewing conditions reveal a time-based anatomy of the brain. Neuroimage 22, 419-433 (2004).
26. Beckmann, C. F., DeLuca, M., Devlin, J. T. & Smith, S. M. Investigations into resting-state connectivity using independent component analysis. Philos. Trans R. Soc. Lond. Biol Sci. 360, 1001-1013 (2005).
27. Kiviniemi, V., Kantola, J. H., Jauhiainen, J., Hyvarinen, A. & Tervonen, O. Independent component analysis of nondeterministic fMRI signal sources. Neuroimage 19, 253-260 (2003).
28. Macey, P. M., Macey, K. E., Kumar, R. & Harper, R. M. A method for the removal of global effects from fMRI time series. Neuroimage 22, 360-366 (2004).
29. Fox, M. D. et al. The human brain is intrinsically organized into dynamic, anti-correlated functional networks. Proc. Natl Acad. Sci. USA 102, 9673-9678 (2005).
30. Greicius, M. D., Krasnow, B., Reiss, A. L. & Menon, V. Functional connectivity in the resting brain: a network analysis of the default mode hypothesis. Proc. Natl Acad. Sci. USA 100, 253-258 (2003).
31. Fransson, P. Spontaneous low-frequency BOLD signal fluctuations: An fMRI investigation of the resting-state default mode of brain function hypothesis. Hum. Brain Mapp. 26, 15-29 (2005).
32. Laufs, H. et al. Electroencephalographic signatures of attentional and cogntive default modes in spontaneous brain activity fluctuations at rest. Proc. Natl Acad. Sci. USA 100, 11053-11058 (2003). A simultaneous BOLD/EEG study relating changes in the power of different EEG frequency bands to spontaneous BOLD fluctuations in distinct systems.
33. Vincent, J. L. et al. Coherent spontaneous activity identifies a hippocampal-parietal mnemonic network. J. Neurophysiol. 96, 3517-3531 (2006).
34. Hampson, M., Peterson, B. S., Skudlarski, P., Gatenby, J. C. & Gore, J. C. Detection of functional connectivity using temporal correlations in MR images. Hum. Brain Mapp. 15, 247-262 (2002).
35. Fox, M. D., Corbetta, M., Snyder, A. Z., Vincent, J. L. & Raichle, M. E. Spontaneous neuronal activity distinguishes human dorsal and ventral attention systems. Proc. Natl Acad. Sci. USA 103, 10046-10051 (2006).
36. Vincent, J. L. et al. Intrinsic functional architecture in the anesthetized monkey brain. Nature 447, 83-86 (2007).
37. Cordes, D., Haughton, V. M., Carew, J. D., Arfanakis, K. & Maravilla, K. Hierachical clustering to measure connectivity in fMRI resting-state data. Magn. Reson. Imaging 20, 305-317 (2002).
38. Salvador, R. et al. Neurophysiological architecture of functional magnetic resonance images of human brain. Cereb. Cortex 15, 1332-1342 (2005).
39. Achard, S., Salvador, R., Whitcher, B., Suckling, J. & Bullmore, E. A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs. J. Neurosci. 26, 63-72 (2006).
40. Dosenbach, N. U. et al. Distinct brain networks for adaptive and stable task control in humans. Proc. Natl Acad. Sci. USA 104, 11073-11078 (2007).
41. Bartels, A. & Zeki, S. The chronoarchitecture of the cerebral cortex. Philos. Trans R. Soc. Lond. Biol Sci. 360, 733-750 (2005).
42. Van de Ven, V. G., Formisano, E., Prvulovic, D., Roeder, C. H. & Linden, D. E. J. Functional connectivity as revealed by spatial independent component analysis of fMRI measurements during rest. Hum. Brain Mapp. 22, 165-178 (2004).
43. Damoiseaux, J. S. et al. Consistent resting-state networks across healthy subjects. Proc. Natl Acad. Sci. USA 103, 13848-13853 (2006).
44. Greicius, M. D., Srivastava, G., Reiss, A. L. & Menon, V. Default-mode network activity distinguishes Alzheimer's disease from healthy aging: evidence from functional MRI. Proc. Natl Acad. Sci. USA 101, 4637-4642 (2004).
45. Kiviniemi, V., Kantola, J. H., Jauhiainen, J. & Tervonen, O. Comparison of methods for detecting nondeterministic BOLD fluctuaion in fMRI. Magn. Reson. Imaging 22, 197-203 (2004).
46. Ma, L., Wang, B., Chen, X. & Xiong, J. Detecting functional connectivity in the resting brain: a comparison between ICA and CCA. Magn. Reson. Imaging 25, 47-56 (2007).
47. Peltier, S. J., Polk, T. A. & Noll, D. A. Detecting low-frequency functional connectivity in fMRI using a self-organizing map (SOM) algorithm. Hum. Brain Mapp. 20, 220-226 (2003).
48. Rogers, B. P., Morgan, V. L., Newton, A. T. & Gore, J. C. Assessing functional connectivity in the human brain by fMRI. Magn. Reson. Imaging 10 May 2007 [epub ahead of print].
49. Salvador, R. et al. Frequency based mutual information measures between clusters of brain regions in functional magnetic resonance imaging. Neuroimage 35, 83-88 (2007).
50. Seeley, W. W. et al. Dissociable intrinsic connectivity networks for salience processing and executive control. J. Neurosci. 27, 2349-2356 (2007). A good demonstration that individual differences in resting state correlation patterns relate to individual variability in behaviour.
51. Corbetta, M. & Shulman, G. L. Control of goal-directed and stimulus-driven attention in the brain. Nature Rev. Neurosci. 3, 201-215 (2002).
52. Shulman, G. L. et al. Common blood flow changes across visual tasks: II. Decreases in cerebral cortex. J. Cogn. Neurosci. 9, 648-663 (1997).
53. Maguire, E. A. Neuroimaging studies of autobiographical event memory. Philos. Trans R. Soc. Lond. Biol Sci. 356, 1441-1451 (2001).
54. Cabeza, R. et al. Brain activity during episodic retrieval of autobiographical and laboratory events: an fMRI study using a novel photo paradigm. J. Cogn. Neurosci. 16, 1583-1594 (2004).
55. Hampson, M., Driesen, N. R., Skudlarski, P., Gore, J. C. & Constable, R. T. Brain connectivity related to working memory performance. J. Neurosci. 26, 13338-13343 (2006).
56. He, B. J. et al. Breakdown of functional connectivity in frontoparietal networks underlies behavioral deficits in spatial neglect. Neuron 53, 905-918 (2007).
57. Fox, M.D., Snyder, A.Z., Vincent, J.L. & Raichle, M.E. Intrinsic fluctuations within cortical systems account for inter-trial variability in human behavior. Neuron (in the press).
58. Linkenkaer-Hansen, K., Nikouline, V. V., Palva, J. M. & Llmoniemi, R. J. Long-range temporal correaltions and scaling behavior in human brain oscillations. J. Neurosci. 21, 1370-1377 (2001).
59. Stam, C. J. & de Bruin, E. A. Scale-free dynamics of global functional connectivity in the human brain. Hum. Brain Mapp. 22, 97-109 (2004).
60. Leopold, D. A., Murayama, Y. & Logothetis, N. K. Very slow activity fluctuations in monkey visual cortex: implications for functional brain imaging. Cereb. Cortex 13, 423-433 (2003). Pioneering work on the neurophysiology of slow cortical fluctuations and their potential relevance for functional brain imaging.
61. Gilden, D. L. Cognitive emissions of 1/f noise. Psychol. Rev. 108, 33-56 (2001).
62. Gilden, D. L., Thornton, T. & Mallon, M. W. 1/f noise in human cognition. Science 267, 1837-1839 (1995).
63. α noise in human cognition. Psychon. Bull. Rev. 11, 579-615 (2004).
64. Sun, F. T., Miller, L. M. & D'Esposito, M. Measuring temporal dynamics of functional networks using phase spectrum of fMRI data. Neuroimage 28, 227-237 (2005).
65. Nir, Y., Hasson, U., Levy, I., Yeshurun, Y. & Malach, R. Widespread functional connectivity and fMRI fluctuations in human visual cortex in the absence of visual stimulation. Neuroimage 30, 1313-1324 (2006).
66. Biswal, B., Hudetz, A. G., Yetkin, F. Z., Haughton, V. M. & Hyde, J. S. Hypercapnia reversibly suppresses low-frequency fluctuations in the human motor cortex during rest using echo-planar MRI. J. Cereb. Blood Flow Metab. 17, 301-308 (1997).
67. Li, S. et al. Cocaine administration decreases functional connectivity in the human primary visual and motor cortex as detected by MRI. Magn. Reson. Med. 43, 45-51 (2000).
68. Peltier, S. J. et al. Functional connectivity changes with concentration of sevoflurane anaesthesia. Neuroreport 16, 285-288 (2005).
69. Kiviniemi, V. et al. Midazolam sedation increases fluctuation and synchrony of the resting brain BOLD signal. Magn. Reson. Imaging 23, 531-537 (2005).
70. Yang, H. et al. Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI. Neuroimage 36, 144-152 (2007).
71. Greicius, M. D. & Menon, V. Default-mode activity during a passive sensory task: uncoupled from deactivation but impacting activation. J. Cogn. Neurosci. 16, 1484-1492 (2004).
72. Arfanakis, K. et al. Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets. Magn. Reson. Imaging 18, 921-930 (2000).
73. Fransson, P. How default is the default mode of brain function? Further evidence from intrinsic BOLD signal fluctuations. Neuropsychologia 44, 2836-2845 (2006).
74. Arieli, A., Sterkin, A., Grinvald, A. & Aertsent, A. Dynamics of ongoing activity: explanation of the large variability in evoked cortical responses. Science 273, 1868-1871 (1996).
75. Tsodyks, M., Kenet, T., Grinvald, A. & Arieli, A. Linking spontaneous activity of single cortical neurons and the underlying functional architecture. Science 286, 1943-1946 (1999).
76. Ress, D. & Heeger, D. J. Neural correlates of perception in early visual cortex. Nature Neurosci. 6, 414-420 (2003).
77. Pessoa, L. & Padmala, S. Quantitative prediction of perceptual decisions during near-threshold fear detection. Proc. Natl Acad. Sci. USA 102, 5612-5617 (2005).
78. Wagner, A. D. et al. Building memories: remembering and forgetting of verbal experiences as predicted by brain activity. Science 281, 1188-1191 (1998).
79. Pessoa, L., Gutierrez, E., Bandettini, P. A. & Ungerleider, L. G. Neural correlates of visual working memory: fMRI amplitude predicts task performance. Neuron 35, 975-987 (2002).
80. Ress, D., Backus, B. T. & Heeger, D. J. Activity in primary visual cortex predicts performance in a visual detection task. Nature Neurosci. 3, 940-945 (2000).
81. Grill-Spector, K., Knouf, N. & Kanwisher, N. The fusiform face area subserves face perception, not generic within-category indentification. Nature Neurosci. 7, 555-562 (2004).
82. Sapir, A., D'Avossa, G., McAvoy, M., Shulman, G. I. & Corbetta, M. BOLD signals for spatial attention predict performance in a motion discrimination task. Proc. Natl Acad. Sci. USA.102, 17810-17815 (2005).
83. Marder, E. & Weimann, J. M. Neurobiology of Motor Program Selection: New Approaches to Mechanisms of Behavioral Choice (eds. Kien, J., McCrohan, C. & Winlow, B.) 3-19 (Manchester University Press, Manchester, UK, 1991).
84. Engel, A. K., Fries, P. & Singer, W. Dynamic predictions: oscillations and synchrony in top-down processing. Nature Rev. Neurosci. 2, 704-716 (2001).
85. Hampson, M., Olson, I. R., Leung, H.-C., Skudlarski, P. & Gore, J. C. Changes in functional connectivity of human MT/V5 with visual motion input. Neuroreport 15, 1315-1319 (2004).
86. Lowe, M. J., Dzemidzic, M., Lurito, J. T., Mathews, V. P. & Phillips, M. D. Correlations in low-frequency BOLD fluctuations reflect cortico-cortical connections. Neuroimage 12, 582-587 (2000).
87. Morgan, V. L. & Price, R. R. The effect of sensorimotor activation on functional connectivity mapping with fMRI. Magn. Reson. Med. 22, 1069-1075 (2004).
88. Jiang, T., He, Y., Zang, Y. & Weng, X. Modulation of functional connectivity during the resting state and the motor task. Hum. Brain Mapp. 22, 63-71 (2004).
89. Bartels, A. & Zeki, S. Brain dynamics during natural viewing conditions. A new guide for mapping connectivity in vivo. Neuroimage 24, 339-349 (2005).
90. Sun, F. T., Miller, L. M., Rao, A. A. & D'Esposito, M. Functional connectivity of cortical networks involved in bimanual motor sequence learning. Cereb. Cortex 17, 1227-1234 (2006).
91. Waites, A. B., Stanislavsky, A., Abbott, D. F. & Jackson, G. D. Effect of prior cognitive state on resting state networks measured with functional connectivity. Hum. Brain Mapp. 24, 59-68 (2005).
92. Peltier, S. J. et al. Reductions in interhemispheric motor cortex functional connectivity after muscle fatigue. Brain Res. 1057, 10-16 (2005).
93. Fair, D. A. et al. A method for using blocked and event-related fMRI data to study 'resting state' functional connectivity. Neuroimage 35, 396-405 (2007).
94. Foster, D. J. & Wilson, M. A. Reverse replay of behavioral sequences in hippocampal place cells during the awake state. Nature 440, 680-683 (2006).
95. Quigley, M. A. et al. Role of the corpus callosum in functional connectivity. Am. J. Neuroradiol. 24, 208-212 (2003).
96. Koch, M. A., Norris, D. G. & Hund-Georgiadis, M. An investigation of functional and anatomical connectivity using magnetic resonance imaging. Neuroimage 16, 241-250 (2002).
97. Stark, C. E. L. & Squire, L. R. When zero is not zero: The problem of ambiguous baseline conditions in fMRI. Proc. Natl Acad. Sci. USA 98, 12760-12766 (2001).
98. Horovitz, S.G. et al. Low frequency fluctuations during resting wakefulness and light sleep: a simultaneous EEG-fMRI study. Hum. Brain Mapp. 27 Jun 2007 (epub ahead of print)
99. Fukunaga, M. et al. Large-amplitude, spatially correlated fluctuations in BOLD fMRI signals during extended rest and light sleep. Magn. Reson. Imaging 24, 979-992 (2006).
100. Raichle, M. E. et al. A default mode of brain function. Proc. Natl Acad. Sci. USA 98, 676-682 (2001).
101. Moosmann, M. et al. Correlates of alpha rhythm in functional magnetic resonance imaging and near infrared spectroscopy. Neuroimage 20, 145-158 (2003).
102. Goldman, R. I., Stern, J. M., Engel, J. J. & Cohen, M. S. Simultaneous EEG and fMRI of the alpha rhythm. NeuroReport 13, 2487-2492 (2002).
103. Laufs, H. et al. EEG-correlated fMRI of human alpha activity. Neuroimage 19, 1463-1476 (2003).
104. Laufs, H. et al. Where the BOLD signal goes when alpha EEG leaves. Neuroimage 31, 1408-1418 (2006).
105. Shmuel, A., Augath, M., Oeltermann, A. & Logothetis, N. K. Spontaneous fluctuations in functional MRI signal reflect fluctuations in the underlying neuronal activity. Neuroimage: 13th Annual meeting of the organization for human brain mapping 36, S58 (2007).
106. Vanhatalo, S. et al. Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep. Proc. Natl Acad. Sci. USA 101, 5053-5057 (2004). An important paper addressing the role of infra-slow brain oscillations as seen from the EEG perspective.
107. Bruns, A., Eckhorn, R., Jokeit, H. & Ebner, A. Amplitude envelope correlation detects coupling amoung incoherent brain signals. Neuroreport 11, 1509-1514 (2000). A nice discussion of the role of amplitude modulation (power) in establishing patterns of spatially coherent brain activity.
108. Steriade, M. Impact of network activities on neuronal properties in corticothalamic systems. J. Neurophysiol. 86, 1-39 (2001).
109. MacLean, J. N., Watson, B. O., Aaron, G. B. & Yuste, R. Internal dynamics determine the cortical response to thalamic stimulation. Neuron 48, 811-823 (2005).
110. Logothetis, N. K. & Wandell, B. A. Interpreting the BOLD signal. Annu. Rev. Physiol. 66, 735-769 (2004).
111. Golanov, E. V., Yamamoto, S. & Reis, D. J. Spontaneous waves of cerebral blood flow associated with a pattern of electrocortical activity. Am. J. Physiol. 266, R204-R214 (1994).
112. Hua, S. Y., Raciborska, D. A., Trimble, W. S. & Charlton, M. P. Different VAMP/synaptobrevin complexes for spontaneous and evoked transmitter release at the crayfish neuromuscular junction. J. Neurophysiol. 80, 3233-3246 (1998).
113. Deitcher, D. L. et al. Distinct requirements for evoked and spontaneous release of neurotransmitter are revealed by mutations in the Drosphila gene neuronal-synaptobrevin. J. Neurosci. 18, 2028-2039 (1998).
114. 2* dependence of low frequency functional connectivity. Neuroimage 16, 985-992 (2002).
115. Fiser, J., Chiu, C. & Weliky, M. Small modulation of ongoing cortical dynamics by sensory input during natural vision. Nature 431, 573-578 (2004).
116. Yuste, R., MacLean, J. N., Smith, J. & Lanser, A. The cortex as a central patern generator. Nature Rev. Neurosci. 6, 477-483 (2005).
117. Llinas, R. The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function. Science 242, 1654-1664 (1988). An early paper by one of the long term advocates of the importance of intrinsic activity for brain function.
118. Berger, H. Uber das elektrenkephalogramm des menschen. Arch.Psychiatr.Nervenkr. 87, 527-580 (1929).
119. Grinvald, A., Arieli, A., Tsodyks, M. & Kenet, T. Neuronal assemblies: single cortical neurons are obedient members of a huge orchestra. Biopolymers 68, 422-436 (2003).
120. Kenet, T., Bibitchkov, D., Tsodyks, M., Grinvald, A. & Arieli, A. Spontaneously emerging cortical representations of visual attributes. Nature 425, 954-956 (2003).
121. Wang, L. et al. Changes in hippocampal connectivity in the early stages of Alzheimer's disease: Evidence from resting state fMRI. Neuroimage 31, 496-504 (2006).
122. Wang, K. et al. Discriminative analysis of early Alzheimer's disease based on two intrinsically anticorrelated networks with resting-state fMRI. Med. Image Comput. Comput. Assist. Interv. Int. Conf. Med. Image Comput. Comput. Assist. Interv. 9, 340-347 (2006).
123. Wang, K. et al. Altered functional connectivity in early Alzheimer's disease: A resting-state fMRI study. Hum. Brain Mapp. 28 Nov 2006 (epub ahead of print).
124. Lowe, M. J. et al. Multiple sclerosis: low-frequency temporal blood oxygen level-dependent fluctuations indicate reduced functional connectivity-initial results. Radiology 224, 184-192 (2002).
125. Anand, A. et al. Activity and connectivity of brain mood regulating circuit in depression: a functional magnetic resonance study. Biol. Psychiatry 57, 1079-1088 (2005).
126. Anand, A. et al. Antidepressant effect on connectivity of the mood-regulating circuit: An fMRI study. Neuropsychopharmacology 30, 1334-1344 (2005).
127. Greicius, M. D. et al. Resting-state functional connectivity in major depression: abnormally increased contributions from subgenual cingulate cortex and thalamus. Biol. Psychiatry 8 Jan 2007 [epub ahead of print].
128. Liu, H. et al. Decreased regional homogeneity in schizophrenia: a resting state functional magnetic resonance imaging study. Neuroreport 17, 19-22 (2006).
129. Liang, M. et al. Widespread functional disconnectivity in schizophrenia with resting-state functional magnetic resonance imaging. Neuroreport 17, 209-213 (2006).
130. Zhou, Y. et al. Functional dysconnectivity of the dorsolateral prefrontal cortex in first-episode schizophrenia using resting-state fMRI. Neurosci. Lett. 417, 297-302 (2007).
131. Bluhm, R. L. et al. Spontaneous low-frequency fluctuations in the BOLD signal in schizophrenic patients: anomalies in the default network. Schizophr. Bull. 33, 1004-1012 (2007).
132. Tian, L. et al. Altered resting-state functional connectivity patterns of anterior cingulate cortex in adolescents with attention deficit hyperactivity disorder. Neurosci. Lett. 400, 39-43 (2006).
133. Cao, Q. et al. Abnormal neural activity in children with attention deficit hyperactivity disorder: a resting-state functional magnetic resonance imaging study. Neuroreport 17, 1033-1036 (2006).
134. Cherkassky, V. L., Kana, R. K., Keller, T. A. & Just, M. A. Functional connectivity in a baseline resting-state network in autism. Neuroreport 17, 1687-1690 (2006).
135. Waites, A. B., Briellman, R. S., Saling, M. M., Abbott, D. F. & Jackson, G. D. Functional connectivity networks are disrupted in left temporal lobe epilepsy. Ann. Neurol. 59, 335-343 (2006).
136. Liu, Y. et al. Whole brain functional connectivity in the early blind. Brain 130, 2085-2096 (2007).
137. Oakes, T. R. et al. Integrating VBM into the General Linear Model with voxelwise anatomical covariates. Neuroimage 34, 500-508 (2007).
138. Fair, D. A. et al. Development of distinct task control networks through segregation and integration. Proc. Natl Acad. Sci. USA (in the press).
139. Achard, S. & Bullmore, E. Efficiency and cost of economical brain functional networks. PLoS Comput. Biol. 3, e17 (2007).
140. Fox, M.D., Marcus, D.M., Snyder, A.Z. & Raichle, M.E. BrainSCAPE: an online spontaneous correlation analysis processing environment for fMRI BOLD data. Neuroimage: 13th Annual meeting of the Organization for Human Brain Mapping 36, S43 (2007).
141. Shatz, C. J. Emergence of order in visual system development. Proc. Natl Acad. Sci. USA 93, 602-608 (1996).
142. Salinas, E. & Sejnowski, T. J. Correlated neuronal activity and the flow of neural information. Nature Rev. Neurosci. 2, 539-550 (2001).
143. Olshausen, B. A. The Visual Neurosciences (eds. Chalupa, L. M. & Werner, J. S.) 1603-1615 (MIT Press, Cambridge, Massachusetts, 2003).
144. Pouget, A., Dayan, P. & Zemel, R. S. Inference and computation with population codes. Annu. Rev. Neurosci. 26, 381-410 (2003).
145. Kording, K. P. & Wolpert, D. M. Bayesian decision theory in sensorimotor control. Trends Cogn. Sci. 10, 319-326 (2006).
146. Friston, K. J., Frith, C. D., Liddle, P. F. & Frackowiak, R. S. J. Functional connectivity: the pricipal component analysis of large (PET) data sets. J. Cereb. Blood Flow Metab. 13, 5-14 (1993).
147. Horwitz, B. The elusive concept of brain connectivity. Neuroimage 19, 466-470 (2003).
148. Ranganeth, C., Heller, A., Cohen, M. X., Brozinsky, C. J. & Rissman, J. Functional connectivity with the hippocampus during successful memory formation. Hippocampus 15, 997-1005 (2005).
149. Hampson, M. et al. Connectivity-behavior analysis reveals that functional connectivity between left BA39 and Broca's area varies with reading ability. Neuroimage 31, 513-519 (2006).
150. Pezawas, L. et al. F-HTTLPR polymorphism impacts human cingulate-amygdala interactions: a genetic susceptibility mechanism for depression. Nature Neurosci. 8, 828-834 (2005).
151. Clark, L. C., Mishray, G. & Fox, R. P. Chronically implanted polargraphic electrodes. J. Appl. Physiol. 13, 85-91 (1958).
152. Cooper, R., Crow, H. J., Walter, W. G. & Winter, A. L. Regional control of cerebral vascular reactivity and oxygen supply in man. Brain Res. 3, 174-191 (1966).
153. Manil, J. et al. Properties of the spontaneous fluctuations in cortical oxygen pressure. Adv. Exp. Med. Biol. 169, 231-239 (1984).
154. Dora, E. & Kovach, A. G. B. Metabolic and vascular volume oscillations in the cat brain cortex. Acta Physiol. Acad. Sci. Hung. 57, 261-275 (1981).
155. Vern, B. A., Schuette, W. H., Leheta, B., Juel, V. C. & Radulovacki, M. Low-frequency oxcillations of cortical oxidative metabolism in waking and sleep. J. Cereb. Blood Flow Metab. 8, 215-226 (1988).
156. Vern, B. A. et al. Interhemispheric synchrony of slow oscillations of cortical blood volume and cytochrome aa3 redox state in unanesthetized rabbits. Brain Res. 775, 233-239 (1997). A useful paper that addresses slow, coherent oscillations in blood vessels and metabolism and provides a comprehensive source of references to early work.
157. Obrig, H. et al. Spontaneous low frequency oscillations of cerebral hemodynamics and metabolism in human adults. NeuroImage 12, 623-639 (2000).
158. Biswal, B. B., van Kylen, J. & Hyde, J. S. Simultaneous assessment of flow and BOLD signals in resting-state functional connectivity. NMR Biomed. 10, 165-170 (1997).
159. Katura, T., Tanaka, N., Obata, A., Sato, H. & Maki, A. Quantitative evaluation of interrelations between spontaneous low-requency oscillations in cerebral hemodynamics and systemic cardiovascular dynamics. Neuroimage 31, 1592-1600 (2006).
160. Bouron, A. Modualtion of spontaneous quantal release on neurotransmitters in the hippocampus. Prog. Neuorobiol. 63, 613-635 (2001).
161. Lowen, S. B., Cash, S. S., Poo, M. & Teich, M. C. Quantal neurotransmitter secretion rate exhibits fractal behavior. J. Neurosci. 17, 5666-5677 (1997).