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References and Readings
Beckmann, C. F., DeLuca, M., Devlin, J. T., & Smith, S. M. (2005). Investigations into resting-state connectivity using independent component analysis. Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 360(1457), 1001–1013. https://doi.org/10.1098/rstb.2005.1634.
Belliveau, J. W., Kennedy, D. N., Jr., McKinstry, R. C., Buchbinder, B. R., Weisskoff, R. M., Cohen, M. S., et al. (1991). Functional mapping of the human visual cortex by magnetic resonance imaging. Science, 254(5032), 716–719.
Biswal, B. B. (2012). Resting state fMRI: A personal history. NeuroImage, 62(2), 938–944. https://doi.org/10.1016/j.neuroimage.2012.01.090.
Biswal, B. B. (2015). Resting-state functional connectivity. In A. W. Toga (Ed.), Brain mapping (pp. 581–585). Waltham: Academic Press.
Buckner, R. L. (2012). The serendipitous discovery of the brain’s default network. NeuroImage, 62(2), 1137–1145. https://doi.org/10.1016/j.neuroimage.2011.10.035.
Buckner, R. L., Andrews-Hanna, J. R., & Schacter, D. L. (2008). The brain’s default network: Anatomy, function, and relevance to disease. Annals of the New York Academy of Sciences, 1124, 1–38. https://doi.org/10.1196/annals.1440.011.
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. (2011). The organization of the human cerebellum estimated by intrinsic functional connectivity. Journal of Neurophysiology, 106(5), 2322–2345. https://doi.org/10.1152/jn.00339.2011.
Buckner, R. L., Krienen, F. M., & Yeo, B. T. (2013). Opportunities and limitations of intrinsic functional connectivity MRI. Nature Neuroscience, 16(7), 832–837. https://doi.org/10.1038/nn.3423.
Calhoun, V. D., Adali, T., Pearlson, G. D., & Pekar, J. J. (2001). A method for making group inferences from functional MRI data using independent component analysis. Human Brain Mapping, 14(3), 140–151.
Choi, E. Y., Yeo, B. T., & Buckner, R. L. (2012). The organization of the human striatum estimated by intrinsic functional connectivity. Journal of Neurophysiology, 108(8), 2242–2263. https://doi.org/10.1152/jn.00270.2012.
Corbetta, M., & Shulman, G. L. (2002). Control of goal-directed and stimulus-driven attention in the brain. Nature Reviews: Neuroscience, 3(3), 201–215. https://doi.org/10.1038/nrn755.
Dosenbach, N. U., Fair, D. A., Miezin, F. M., Cohen, A. L., Wenger, K. K., Dosenbach, R. A., et al. (2007). Distinct brain networks for adaptive and stable task control in humans. Proceedings of the National Academy of Sciences of the United States of America, 104(26), 11073–11078. https://doi.org/10.1073/pnas.0704320104.
Fox, M. D., & Greicius, M. (2010). Clinical applications of resting state functional connectivity. Frontiers in Systems Neuroscience, 4, 19. https://doi.org/10.3389/fnsys.2010.00019.
Fox, M. D., & Raichle, M. E. (2007). Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging. Nature Reviews: Neuroscience, 8(9), 700–711. https://doi.org/10.1038/nrn2201.
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005). The human brain is intrinsically organized into dynamic, anticorrelated functional networks. Proceedings of the National Academy of Sciences of the United States of America, 102(27), 9673–9678. https://doi.org/10.1073/pnas.0504136102.
Friston, K. J. (2011). Functional and effective connectivity: A review. Brain Connectivity, 1(1), 13–36. https://doi.org/10.1089/brain.2011.0008.
Gozzi, A., & Schwarz, A. J. (2016). Large-scale functional connectivity networks in the rodent brain. NeuroImage, 127, 496–509. https://doi.org/10.1016/j.neuroimage.2015.12.017.
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009). Predicting human resting-state functional connectivity from structural connectivity. Proceedings of the National Academy of Sciences of the United States of America, 106(6), 2035–2040. https://doi.org/10.1073/pnas.0811168106.
Hutchison, R. M., & Everling, S. (2012). Monkey in the middle: Why non-human primates are needed to bridge the gap in resting-state investigations. Frontiers in Neuroanatomy, 6, 29. https://doi.org/10.3389/fnana.2012.00029.
Leopold, D. A., & Maier, A. (2012). Ongoing physiological processes in the cerebral cortex. NeuroImage, 62(4), 2190–2200. https://doi.org/10.1016/j.neuroimage.2011.10.059.
Logothetis, N. K. (2008). What we can do and what we cannot do with fMRI. Nature, 453(7197), 869–878. https://doi.org/10.1038/nature06976.
Ogawa, S., Lee, T. M., Nayak, A. S., & Glynn, P. (1990). Oxygenation-sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields. Magnetic Resonance in Medicine, 14(1), 68–78.
Poldrack, R. A., Mumford, J. A., & Nichols, T. E. (2011). Handbook of functional MRI data analysis. Cambridge: Cambridge University Press.
Shulman R. G., Douglas L. R., Kevin L. B., Fahmeed H. (2004). Energetic basis of brain activity: implications for neuroimaging. Trends in Neurosciences, 27(8), 489–495.
Shehzad, Z., Kelly, A. M., Reiss, P. T., Gee, D. G., Gotimer, K., Uddin, L. Q., et al. (2009). The resting brain: Unconstrained yet reliable. Cerebral Cortex, 19(10), 2209–2229. https://doi.org/10.1093/cercor/bhn256.
Snyder, A. Z., & Raichle, M. E. (2012). A brief history of the resting state: The Washington University perspective. NeuroImage, 62(2), 902–910. https://doi.org/10.1016/j.neuroimage.2012.01.044.
Van Dijk, K. R., Hedden, T., Venkataraman, A., Evans, K. C., Lazar, S. W., & Buckner, R. L. (2010). Intrinsic functional connectivity as a tool for human connectomics: Theory, properties, and optimization. Journal of Neurophysiology, 103(1), 297–321. https://doi.org/10.1152/jn.00783.2009.
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011). Large-scale automated synthesis of human functional neuroimaging data. Nature Methods, 8(8), 665–670. https://doi.org/10.1038/nmeth.1635.
Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., et al. (2011). The organization of the human cerebral cortex estimated by intrinsic functional connectivity. Journal of Neurophysiology, 106(3), 1125–1165. https://doi.org/10.1152/jn.00338.2011.
Zhang, D., & Raichle, M. E. (2010). Disease and the brain’s dark energy. Nature Reviews: Neurology, 6(1), 15–28. https://doi.org/10.1038/nrneurol.2009.198.
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Nielsen, J.A., Hutchison, R.M. (2018). Resting-State Functional Connectivity MRI (fcMRI). In: Kreutzer, J.S., DeLuca, J., Caplan, B. (eds) Encyclopedia of Clinical Neuropsychology. Springer, Cham. https://doi.org/10.1007/978-3-319-57111-9_9077
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