[1] K. J. Friston and C. D. Frith, “Schizophrenia: a disconnection syndrome,” Clin Neurosci, vol. 3, no. 2, pp. 89–97, 1995.
[2] K. L. Hamilton, L. S., Altshuler, L. L., Townsend, J., Bookheimer, S. Y., Phillips, O. R., Fischer, J., Woods, R. P., Mazziotta, J. C., Toga, A. W., Nuechterlein, K. H., and Narr, “Alterations in Functional Activation in Euthymic Bipolar Disorder and Schizophrenia During a Working Memory Task,” Brain, vol. 30, no. 12, pp. 3958–3969, 2009.
[3] A. Fornito, A. Zalesky, C. Pantelis, and E. T. Bullmore, “Schizophrenia, neuroimaging and connectomics,” Neuroimage, vol. 62, no. 4, pp. 2296–2314, 2012.
[4] R. E. Gur and R. C. Gur, “The application of functional magnetic resonance imaging in neuroscience research Functional magnetic resonance imaging in schizophrenia,” pp. 333–343, 2010.
[5] M. Kubicki, C.-F. Westin, R. W. McCarley, and M. E. Shenton, “The Application of DTI to Investigate White Matter Abnormalities in Schizophrenia,” NIH Public Access, vol. 54, no. 5, pp. 134–148, 2005.
[6] Jessika E Sussmann et al., “White matter abnormalities in bipolar disorder and schizophrenia detected using diffusion tensor magnetic resonance imaging,” Bipolar Disord., vol. 68, no. 6, pp. 560–7, Sep. 2009.
[7] J. Sui, Q. Yu, H. He, G. D. Pearlson, and V. D. Calhoun, “A Selective Review of Multimodal Fusion Methods in Schizophrenia,” Front. Hum. Neurosci., vol. 6, no. February, pp. 1–11, 2012.
[8] M. D. Greicius, K. Supekar, V. Menon, and R. F. Dougherty, “Resting-state functional connectivity reflects structural connectivity in the default mode network,” Cereb. Cortex, vol. 19, no. 1, pp. 72–78, 2009.
[9] P. Skudlarski, K. Jagannathan, V. D. Calhoun, M. Hampson, B. a. Skudlarska, and G. Pearlson, “Measuring brain connectivity: Diffusion tensor imaging validates resting state temporal correlations,” Neuroimage, vol. 43, no. 3, pp. 554–561, 2008.
[10]C. J. Honey, J. P. Thivierge, and O. Sporns, “Can structure predict function in the human brain?,” NeuroImage, vol. 52, no. 3. Elsevier Inc., pp. 766–776, 2010.
[11]P. Hagmann et al., “Mapping the structural core of human cerebral cortex,” PLoS Biol., vol. 6, no. 7, pp. 1479–1493, 2008.
[12]J. M. and V. A. Bousquet J, Jeffery PK, Buse WW, V. AM., S. Of, and T. H. E. Art, “Data-driven approaches for identifying links between brain structure and function in health and disease,” Dialogues Clin. Neurosci., vol. 36, pp. 20–23, 2017.
[13]J. Sui, R. Huster, Q. Yu, J. M. Segall, and V. D. Calhoun, “Function-structure associations of the brain: Evidence from multimodal connectivity and covariance studies,” Neuroimage, vol. 102, pp. 11–23, 2013.
[14]V. D. Calhoun and J. Sui, “Multimodal Fusion of Brain Imaging Data : A Key to Finding the Missing Link(s) in Complex Mental Illness,” Biol. Psychiatry Cogn. Neurosci. Neuroimaging, no. 8, pp. 1–8, 2016.
[15]V. D. Calhoun, T. Adali, K. a. Kiehl, R. Astur, J. J. Pekar, and G. D. Pearlson, “A method for multitask fMRI data fusion applied to schizophrenia,” Hum. Brain Mapp., vol. 27, no. 7, pp. 598–610, 2006.
[16]V. D. Calhoun, T. Adali, N. R. Giuliani, J. J. Pekar, K. a. Kiehl, and G. D. Pearlson, “Method for multimodal analysis of independent source differences in schizophrenia: Combining gray matter structural and auditory oddball functional data,” Hum. Brain Mapp., vol. 27, no. 1, pp. 47–62, 2006.
[17]J. Sui et al., “Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model,” Neuroimage, vol. 57, no. 3, pp. 839–855, 2011.
[18]B. Mišić et al., “Network-Level Structure-Function Relationships in Human Neocortex,” Cereb. Cortex, no. April, p. bhw089, 2016.
[19]A. Ponce-Alvarez, G. Deco, P. Hagmann, G. L. Romani, D. Mantini, and M. Corbetta, “Resting-State Temporal Synchronization Networks Emerge from Connectivity Topology and Heterogeneity,” PLoS Comput. Biol., vol. 11, no. 2, pp. 1–23, 2015.
[20]A. Haimovici, E. Tagliazucchi, P. Balenzuela, and D. R. Chialvo, “Brain organization into resting state networks emerges at criticality on a model of the human connectome,” Phys. Rev. Lett., vol. 110, no. 17, pp. 1–4, 2013.
[21]L. Cammoun et al., “Mapping the human connectome at multiple scales with diffusion spectrum MRI,” J. Neurosci. Methods, vol. 203, no. 2, pp. 386–397, 2012.
[22]D. K. Jones, “Studying connections in the living human brain with diffusion MRI,” cortex, vol. 44, no. 8, pp. 936–952, 2008.
[23]M. Jenkinson, C. F. Beckmann, T. E. J. Behrens, M. W. Woolrich, and S. M. Smith, “Fsl,” Neuroimage, vol. 62, no. 2, pp. 782–790, 2012.
[24]M. Jenkinson, P. Bannister, M. Brady, and S. Smith, “Improved optimization for the robust and accurate linear registration and motion correction of brain images,” Neuroimage, vol. 17, no. 2, pp. 825–841, 2002.
[25]A. J. Bell and T. J. Sejnowski, “An Information-Maximization Approach to Blind Separation and Blind Deconvolution,” Neural Comput., vol. 7, no. 6, pp. 1129–1159, 1995.
[26]Z. Yang, S. LaConte, X. Weng, and X. Hu, “Ranking and averaging independent component analysis by reproducibility (RAICAR).,” Hum. Brain Mapp., vol. 29, no. 6, pp. 711–25, 2008.
[27]J. Sui et al., “Combination of Resting State fMRI, DTI, and sMRI Data to Discriminate Schizophrenia by N-way MCCA + jICA.,” Front. Hum. Neurosci., vol. 7, no. May, p. 235, 2013.
[28]J. Sui et al., “Three-way (N-way) fusion of brain imaging data based on mCCA+jICA and its application to discriminating schizophrenia,” Neuroimage, vol. 66, pp. 119–132, 2013.
[29]R. G. M. Schlösser et al., “White matter abnormalities and brain activation in schizophrenia: a combined DTI and fMRI study.,” Schizophr. Res., vol. 89, no. 1–3, pp. 1–11, Jan. 2007.
[30]E. Amico and J. Goñi, “Mapping hybrid functional-structural connectivity traits in the human connectome,” Neurons Cogn., 2017.
[31]M. Lynall et al., “Functional Connectivity and Brain Networks in Schizophrenia,” vol. 30, no. 28, pp. 9477–9487, 2010.
[32]Y. Liu et al., “Disrupted small-world networks in schizophrenia,” Brain, vol. 131, no. 4, pp. 945–961, 2008.
[33]S. Micheloyannis, “Graph-based network analysis in schizophrenia,” World J. Psychiatry, vol. 2, no. 1, 2012.
[34]Q. Yu et al., “Altered topological properties of functional network connectivity in schizophrenia during resting state: A small-world brain Network study,” PLoS One, vol. 6, no. 9, 2011.
[35]G. Collin, R. S. Kahn, M. A. De Reus, W. Cahn, and M. P. Van Den Heuvel, “Impaired rich club connectivity in unaffected siblings of schizophrenia patients,” Schizophr. Bull., vol. 40, no. 2, pp. 438–448, 2014.
[36]M. P. Van Den Heuvel et al., “Abnormal rich club organization and functional brain dynamics in schizophrenia,” JAMA Psychiatry, vol. 70, no. 8, pp. 783–792, 2013.
[37]M. P. van den Heuvel, R. C. W. Mandl, C. J. Stam, R. S. Kahn, and H. E. Hulshoff Pol, “Aberrant frontal and temporal complex network structure in schizophrenia: a graph theoretical analysis.,” J. Neurosci., vol. 30, no. 47, pp. 15915–15926, 2010.