Network-based statistic: Identifying differences in brain networks

Achard, 2006, A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs, J. Neurosci., 26, 63, 10.1523/JNEUROSCI.3874-05.2006 Ahuja, 1993 Albert, 2002, Statistical mechanics of complex networks, Rev. Mod. Phys., 74, 47, 10.1103/RevModPhys.74.47 Basser, 2000, In vivo fiber tractography using DT-MRI data, Magn. Reson. Med., 44, 625, 10.1002/1522-2594(200010)44:4<625::AID-MRM17>3.0.CO;2-O Bassett, 2008, Hierarchical organization of human cortical networks in health and schizophrenia, J. Neurosci., 28, 9239, 10.1523/JNEUROSCI.1929-08.2008 Bassett, 2009, Cognitive fitness of cost-efficient brain functional networks, PNAS, 106, 11747, 10.1073/pnas.0903641106 Bullmore, 2009, Generic aspects of complexity in brain imaging data and other biological systems, Neuroimage, 47, 1125, 10.1016/j.neuroimage.2009.05.032 Bullmore, 2009, Complex brain networks: graph theoretical analysis of structural and functional systems, Nat. Rev. Neurosci., 10, 186, 10.1038/nrn2575 Bullmore, 1999, Global, voxel and cluster tests, by theory and permutation, for differences between two groups of structural MR images of the brain, IEEE Trans. Med. Imaging, 18, 32, 10.1109/42.750253 Conturo, 1999, Tracking neuronal fiber pathways in the living human brain, Proc. Natl Acad. Sci. USA, 96, 10422, 10.1073/pnas.96.18.10422 Deuker, 2009, Reproducibility of graph metrics of human brain functional networks, Neuroimage, 47, 1460, 10.1016/j.neuroimage.2009.05.035 Eguiluz, 2005, Scale-free brain functional networks, Phys. Rev. Lett., 94, 018102, 10.1103/PhysRevLett.94.018102 Ellison-Wright, 2008, The anatomy of first-episode and chronic schizophrenia: an anatomical likelihood estimation meta-analysis, Am. J. Psychiatry, 165, 1015, 10.1176/appi.ajp.2008.07101562 Ellison-Wright, 2009, Meta-analysis of diffusion tensor imaging studies in schizophrenia, Schizophr. Res., 108, 3, 10.1016/j.schres.2008.11.021 Esslinger, 2009, Neural mechanisms of a genome-wide supported psychosis variant, Science, 324, 605, 10.1126/science.1167768 Fair, 2009, Functional brain networks develop from a “local to distributed” organization, PLoS Comput. Biol., 5, e1000381, 10.1371/journal.pcbi.1000381 Fletcher, 1999, Abnormal cingulate modulation of fronto-temporal connectivity in schizophrenia, Neuroimage, 9, 337, 10.1006/nimg.1998.0411 Fornito, 2010, What can spontaneous fluctuations of the blood oxygenation-level-dependent signal tell us about psychiatric disorders?, Curr. Opin. Psychiatry, 23, 239, 10.1097/YCO.0b013e328337d78d Fornito, 2009, Mapping grey matter reductions in schizophrenia: an anatomical likelihood estimation analysis of voxel-based morphometry studies, Schizophr. Res., 108, 104, 10.1016/j.schres.2008.12.011 Fornito, 2010, Disrupted fronto-posterior connectivity during cognitive control in first episode schizophrenia revealed by event-related graph analysis Genovese, 2002, Thresholding of statistical maps in functional neuroimaging using the false discovery rate, Neuroimage, 15, 870, 10.1006/nimg.2001.1037 Gong, 2009, Age- and gender-related differences in the cortical anatomical network, J. Neurosci., 29, 15684, 10.1523/JNEUROSCI.2308-09.2009 Hagmann, 2007, Mapping human whole-brain structural networks with diffusion MRI, PLoS ONE, 2, e597, 10.1371/journal.pone.0000597 Hagmann, 2008, Mapping the structural core of the human cerebral cortex, PLoS Biol., 6, e159, 10.1371/journal.pbio.0060159 Hayasaka, 2004, Combining voxel intensity and cluster extent with permutation test framework, Neuroimage, 23, 54, 10.1016/j.neuroimage.2004.04.035 Hayasaka, 2010, Comparison of characteristics between region- and voxel-based network analyses in resting-state fMRI data, Neuroimage, 50, 499, 10.1016/j.neuroimage.2009.12.051 He, 2007, Small-world anatomical networks in the human brain revealed by cortical thickness from MRI, Cereb. Cortex, 17, 2407, 10.1093/cercor/bhl149 He, 2008, Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease, J. Neurosci., 28, 10.1523/JNEUROSCI.0141-08.2008 He, 2009, Impaired small-world efficiency in structural cortical networks in multiple sclerosis associated with white matter lesion load, Brain, 132, 3366, 10.1093/brain/awp089 Honey, 2009, Predicting human resting-state functional connectivity from structural connectivity, PNAS, 106, 2035, 10.1073/pnas.0811168106 Honey, 2010, Can structure predict function in the human brain?, Neuroimage, 10.1016/j.neuroimage.2010.01.071 Hopcroft, 1973, Efficient algorithms for graph manipulation, Commun. ACM, 16, 372, 10.1145/362248.362272 Itturia-Medina, 2008, Studying the human brain anatomical network via diffusion-weighted MRI and graph theory, Neuroimage, 40, 1064, 10.1016/j.neuroimage.2007.10.060 Li, 2009, Brain anatomical network and intelligence, PLoS Comput. Biol., 5, e1000395, 10.1371/journal.pcbi.1000395 Liu, 2008, Disrupted small-world networks in schizophrenia, Brain, 131, 945, 10.1093/brain/awn018 Nichols, 2001, Nonparametric permutation tests for functional neuroimaging: a primer with examples, Hum. Brain Mapp., 15, 1, 10.1002/hbm.1058 Nichols, 2003, Controlling the familywise error rate in functional neuroimaging: a comparative review, Stat. Meth. Med. Res., 12, 419, 10.1191/0962280203sm341ra Ramani, 2004, New approaches for exploring anatomical and functional connectivity in the human brain, Biol. Psychiatry, 56, 613, 10.1016/j.biopsych.2004.02.004 Robinson, 2010, Identifying population differences in whole-brain structural networks: a machine learning approach, Neuroimage, 50, 910, 10.1016/j.neuroimage.2010.01.019 Rubinov, 2009, Small-world properties of nonlinear brain activity in schizophrenia, Hum. Brain Mapp., 30, 403, 10.1002/hbm.20517 Skudlarski, 2008, Measuring brain connectivity: diffusion tensor imaging validates resting state temporal correlations, Neuroimage, 43, 554, 10.1016/j.neuroimage.2008.07.063 Smith, 2009, Threshold-free cluster enhancement: addressing problems of smoothing, threshold dependence and localisation in cluster inference, Neuroimage, 44, 83, 10.1016/j.neuroimage.2008.03.061 Sporns, 2000, Theoretical neuroanatomy: relating anatomical and functional connectivity in graphs and cortical connection matrices, Cereb. Cortex, 10, 127, 10.1093/cercor/10.2.127 Sporns, 2004, Organization, development and function of complex brain networks, Trends Cogn. Sci., 8, 418, 10.1016/j.tics.2004.07.008 Stam, 2007, Small-world networks and functional connectivity in Alzheimer's disease, Cereb. Cortex, 17, 92, 10.1093/cercor/bhj127 Suckling, 2004, Permutation tests for factorially designed neuroimaging experiments, Hum. Brain Mapp., 22, 193, 10.1002/hbm.20027 Suckling, 2006, Variable precision registration via wavelets: optimal spatial scales for inter-subject registration of functional MRI, Neuroimage, 31, 197, 10.1016/j.neuroimage.2005.11.032 Tzourio-Mazoyer, 2002, Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain, Neuroimage, 15, 273, 10.1006/nimg.2001.0978 van den Heuvel, 2008, Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain, Neuroimage, 43, 528, 10.1016/j.neuroimage.2008.08.010 van den Heuvel, 2009, Efficiency of functional brain networks and intellectual performance, J. Neurosci., 29, 7619, 10.1523/JNEUROSCI.1443-09.2009 Wang, 2010, Age-related changes in topological patterns of large-scale brain functional networks during memory encoding and recognition, Neuroimage, 50, 862, 10.1016/j.neuroimage.2010.01.044 Wang, 2009, Altered small-world brain functional networks in children with attention-deficit/hyperactivity disorder, Hum. Brain Mapp., 30, 638, 10.1002/hbm.20530 Zalesky, 2009, A DTI-derived measure of cortico-cortical connectivity, IEEE Trans. Med. Imaging, 28, 1023, 10.1109/TMI.2008.2012113 Zalesky, 2010, Whole-brain anatomical networks: does the choice of nodes matter?, Neuroimage, 50, 970, 10.1016/j.neuroimage.2009.12.027