Possible Clinical Use of Big Data: Personal Brain Connectomics
Publisher
Springer Singapore
Reference36 articles.
1. Ahn, Y. Y., Bagrow, J. P., & Lehmann, S. (2010). Link communities reveal multiscale complexity in networks. Nature, 466(7307), 761–4. 2. Bassett, D. S., Nelson, B. G., Mueller, B. A., Camchong, J., & Lim, K. O. (2012). Altered resting state complexity in schizophrenia. Neuroimage, 59(3), 2196–207. 3. Batson, J., Spielman, D. A., Srivastava, N., & Teng, S. H. (2013). Spectral sparsification of graphs: Theory and algorithms. Communications of the ACM, 56(8), 87–94. 4. Bullmore, E., & Sporns, O. (2009). Complex brain networks: graph theoretical analysis of structural and functional systems. Nature Reviews Neuroscience, 10(3), 186–98. 5. Choi, H., Kim, Y. K., Kang, H., Lee, H., Im, H. J., Hwang, D. W., et al. (2014). Abnormal metabolic connectivity in the pilocarpine-induced epilepsy rat model: A multiscale network analysis based on persistent homology. Neuroimage, 1(99), 226–36.
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