Registro:

Referencias:

• Achard, S., Bullmore, E.T., Efficiency and cost of economical brain functional networks (2007) PLoS Comput. Biol, pp. e17. , doi: 10.1371/journal.pcbi.0030017
• Ahnert, S.E., Garlaschelli, D., Fink, T.M.A., Caldarelli, G., Ensemble approach to the analysis of weighted networks (2007) Phys. Rev. E, 76, pp. 016101-016105
• Apkarian, A.V., Sosa, Y., Krauss, B.R., Thomas, P.S., Fredrickson, B.E., Levy, R.E., Harden, R., Chialvo, D.R., Chronic pain patients are impaired on an emotional decision-making task (2004) Pain, 108, pp. 129-136
• Baliki, M.N., Chialvo, D.R., Geha, P.Y., Levy, R.M., Harden, R.N., Parrish, T.B., Apkarian, A.V., Chronic pain and the emotional brain: Specific brain activity associated with spontaneous fluctuations of intensity of chronic back pain (2006) J. Neurosci, 26, pp. 12165-12173
• Baliki, M.N., Geha, P.Y., Apkarian, A.V., Chialvo, D.R., Beyond feeling: Chronic pain hurts the brain, disrupting the default-mode network dynamics (2008) J. Neurosci, 28, pp. 1398-1403
• Beckmann, C.F., Deluca, M., Devlin, J.T., Smith, S.M., Investigations into resting-state connectivity using independent component analysis (2005) Philos. Trans. R. Soc. Lond. B. Biol. Sci, 360, pp. 1001-1013
• Beckmann, C.F., Smith, S.M., Probabilistic independent component analysis for functional magnetic resonance imaging (2004) IEEE Trans. Med. Imag, 23, pp. 137-152
• Boettcher, S., Percus, A.G., Optimization with extremal dynamics (2001) Phys. Rev. Lett, 86, pp. 5211-5214
• Boettcher, S., Percus, A.G., Extremal optimization for graph partitioning (2001) Phys. Rev. E, 64, pp. 026114-026126
• Broyd, S.J., Demanuele, C., Debener, S., Helps, S.K., James, C.J., Sonuga-Barke, E.J.S., Default-mode brain dysfunction in menthal disorders: A systematic review (2009) Neurosci. Biobehav. Rev, 33, pp. 279-296
• Bullmore, E.T., Sporns, O., Complex brain networks: Graph-theoretical analysis of structural and functional systems (2009) Nat. Rev. Neurosci, 10, pp. 186-198
• Clauset, A., Newman, M.E.J., Moore, C., Finding community structure in very large networks (2004) Phys. Rev. E, 70, pp. 066111-066116
• Cordes, D., Haughton, V.M., Arfanakis, K., Carew, J.D., Turski, P.A., Moritz, C.H., Quigley, M.A., Meyerand, M.E., Frequencies contributing to functional connectivity in the cerebral cortex in "resting-state" data (2001) Am. J. Neuroradiol, 22, pp. 1326-1333
• Cordes, D., Haughton, V.M., Arfanakis, K., Wendt, G.J., Turski, P.A., Moritz, C.H., Quigley, M.A., Meyerand, M.E., Mapping functional related regions of brain with functional connectivity MR imaging (2000) Am. J. Neuroradiol, 21, pp. 1636-1644
• Critchley, H.D., Wiens, S., Rotshtein, P., Ohman, A., Dolan, R.J., Neural systems supporting interoceptive awareness (2004) Nat. Neurosci, 7, pp. 189-195
• Damoiseaux, J.S., Rombouts, S.A.R.B., Barkhof, F., Scheltens, P., Stam, C.J., Smith, S.M., Beckmann, C.F., Consistent resting-state networks across healthy subjects (2006) Proc. Natl. Acad. Sci. U.S.A, 103, pp. 13848-13853
• Duch, J., Arenas, A., Community detection in complex networks using extremal optimization (2005) Phys. Rev. E, 72, pp. 027104-027107
• Eguiluz, V.M., Chialvo, D.R., Cecchi, G., Baliki, M., Apkarian, A.V., Scale-free brain functional networks (2005) Phys. Rev. Lett, 94, pp. 018102-018105
• Fox, M.D., Snyder, A.Z., Vincent, J.L., Corbetta, M., van Essen, D.C., Raichle, M.E., From the cover: The human brain is intrinsically organized into dynamic, anticorrelated functional networks (2005) Proc. Natl. Acad. Sci. U.S.A, 102, pp. 9673-9678
• Fox, M.D., Raichle, M.E., Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging (2007) Nat. Rev. Neurosci, 8, pp. 700-711
• Garrity, A.G., Pearlson, G.D., McKiernan, K., Lloyd, D., Kiehl, K.A., Calhoun, V.D., Aberrant "default mode" functional connectivity in schizophrenia (2007) Am. J. Psychiatry, 164, pp. 450-457
• Geha, P.Y., Baliki, M.N., Harden, R.N., Bauer, W.R., Parrish, T.B., Apkarian, A.V., The brain in chronic CRPS pain: Abnormal gray-white matter interactions in emotional and autonomic regions (2008) Neuron, 60, pp. 570-581
• Guimera, R., Amaral, L.A.N., Functional cartography of complex metabolic networks (2005) Nature, 433, pp. 895-900
• He, Y., Chen, Z., Evans, A., Structural insights into aberrant topological patterns of large-scale cortical networks in Alzheimer's disease (2008) J. Neurosci, 28, pp. 4756-4766
• Jezzard, P., Mathews, P., Smith, S.M., (2001) Functional MRI: An Introduction to Methods, , Oxford: Oxford University Press
• Laufs, H., Hamandi, K., Salek-Haddadi, A., Kleinschmidt, A., Duncan, J.S., Lemieux, L., Temporal lobe interictal epileptic discharges affect cerebral activity in default mode brain regions (2007) Hum. Brain. Mapp, 28, pp. 1023-1032
• Lui, S., Ouyang, L., Chen, Q., Huang, X., Tang, H., Chen, H., Zhou, D., Gong, Q., Differential interictal activity of the precuneus/posterior cingulate cortex revealed by resting state fMRI at 3T in generalized versus partial seizure (2008) J. Magn. Res. Imag, 27, pp. 1214-1220
• May, A., Chronic pain may change the structure of the brain (2008) Pain, 137, pp. 7-15
• Meunier, D., Achard, S., Morcom, A., Bullmore, E.T., Age-related changes in modular organization of human brain functional networks (2009) Neuroimage, 44, pp. 715-723
• Meunier, D., Lambiotte, R., Fornito, A., Ersche, K., Bullmore, E.T., Hierarchical modularity in human brain functional networks (2009) Front. Neuroinform, 3, p. 37. , doi: 10.3389/neuro.11.037.2009
• Newman, M.E.J., Analysis of weighted networks (2004) Phys. Rev. E, 70, pp. 056131-056139
• Newman, M.E.J., Girvan, M., Finding and evaluating community structure in networks (2004) Phys. Rev. E, 69, pp. 026113-026127
• Oshiro, Y., Quevedo, A.S., McHaffie, J.G., Kraft, R.A., Coghill, R.C., Brain mechanisms supporting discrimination of sensory features of pain: A new model (2009) J. Neurosci, 29, pp. 14924-14931
• PICA, , http://www.fmrib.ox.ac.uk/analysis/research/melodic
• Rand, W.M., Objective criteria for the evaluation of clustering methods (1971) J. Amer. Stat. Assoc, 66, pp. 846-850
• Raichle, M.E., Macleod, A.M., Snyder, A.Z., Powers, W.J., Gusnard, D.A., Shulman, G.L., A default mode of brain function (2001) Proc. Natl. Acad. Sci. U.S.A, 98, pp. 676-682
• Salvador, R., Suckling, J., Coleman, M.R., Pickard, J.D., Menon, D., Bullmore, E.T., Neurophysiological architecture of functional magnetic resonance images of human brain (2005) Cereb. Cortex, 15, pp. 1332-1342
• Smith, S.M., Fox, P.T., Miller, K.L., Glahn, D.C., Fox, P.M., Mackay, C.E., Filippini, N., Beckmann, C.F., Close correspondence of major functional networks in rest and under task (2009) Proc. Natl. Acad. Sci. U.S.A, 106, pp. 13040-13045
• Soranzo, N., Bianconi, G., Altafini, C., Comparing association network algorithms for reverse engineering of large-scale gene regulatory networks: Synthetic versus real data (2007) Bioinformatics, 23, pp. 1640-1647
• Sporns, O., Chialvo, D.R., Kaiser, M., Hilgetag, C.C., Organization, development and function of complex brain networks (2004) Trends Cogn. Sci, 8, pp. 418-425
• Stanberry, L., Murua, A., Cordes, D., Functional connectivity mapping using the ferromagnetic Potts spin model (2008) Hum. Brain Mapp, 29, pp. 422-440
• Tagliazucchi, E., Balenzuela, P., Fraiman, D., Chialvo, D.R., Brain resting state is disrupted in chronic back pain patients (2010) Neurosci. Lett, 485, pp. 26-31
• Tracey, I., Mantyh, P.W., The cerebral signature for pain perception and its modulation (2007) Neuron, 55, pp. 377-391
• Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., Joliot, M., Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain (2002) Neuroimage, 15, pp. 273-289
• van den Heuven, M.P., Stam, C.J., Boersma, M., Hullshof, P.H.E., Small-world and scale-free organization of voxel-based resting-state functional connectivity in the human brain (2008) Neuroimage, 43, pp. 528-539
• Witting, N., Kupers, R.C., Svensson, P., Jensen, T.S., A PET activation study of brush-evoked allodynia in patients with nerve injury pain (2006) Pain, 120, pp. 145-154
• Zaki, J., Ochsner, K.N., Hanelin, J., Wager, T.D., Mackey, S.C., Different circuits for different pain: Patterns of functional connectivity reveal distinct networks for processing pain in self and others (2007) Soc. Neurosci, 2, pp. 276-291
• Baliki, M.N., Chialvo, D.R., Geha, P.Y., Levy, R.M., Harden, R.N., Parrish, T.B., Apkarian, A.V., Chronic pain and the emotional brain: Specific brain activity associated with spontaneous fluctuations of intensity of chronic back pain (2006) J. Neurosci, 26, pp. 12165-12173
• Baliki, M.N., Geha, P.Y., Apkarian, A.V., Chialvo, D.R., Beyond feeling: Chronic pain hurts the brain, disrupting the default-mode network dynamics (2008) J. Neurosci, 28, pp. 1398-1403
• Fox, M.D., Raichle, M.E., Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging (2007) Nat. Rev. Neurosci, 8, pp. 700-711
• Salvador, R., Suckling, J., Coleman, M.R., Pickard, J.D., Menon, D., Bullmore, E.T., Neurophysiological architecture of functional magnetic resonance images of human brain (2005) Cereb. Cortex, 15, pp. 1332-1342
• Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., Joliot, M., Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain (2002) Neuroimage, 15, pp. 273-289

Citas:

---------- APA ----------

---------- CHICAGO ----------

---------- MLA ----------

---------- VANCOUVER ----------