Brain connectivity: An overview

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5
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bookPart
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2014
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CRC PRESS
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Baccalá L. A.
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Baccalá L. A.; Sameshima, K.. Brain connectivity: An overview. In: . METHODS IN BRAIN CONNECTIVITY INFERENCE THROUGH MULTIVARIATE TIME SERIES ANALYSIS: CRC PRESS, 2014. p.1-9.
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Referências
  1. Akaike, H., On the use of a linear model for the identification of feedback systems (1968) Ann. Inst. Stat. Math., 20, pp. 425-440
  2. Baccalá, L.A., Sameshima, K., Ballester, G., Studying the interaction between brain structures via directed coherence and Granger causality (1998) Appl. Sig. Process., 5, pp. 40-48
  3. Baccalá, L.A., Sameshima, K., Partial directed coherence: A new concept in neural structure determination (2001) Biol. Cybern., 84, pp. 463-474
  4. Baccalá, L.A., Sameshima, K., Overcoming the limitations of correlation analysis for many simultaneously processed neural structures (2001) Prog. Brain Res., 130, pp. 33-47. , (Advances in Neural Population Coding)
  5. Baccalá, L.A., Alvarenga, M., Sameshima, K., Graph theoretical characterization and tracking of the effective neural connectivity during episodes of mesial temporal epileptic seizure (2004) J. Integ. Neurosci., 3, pp. 379-395
  6. Baccalá, L.A., Takahashi, D.Y., Sameshima, K., Computer intensive testing for the influence between time series (2006) Handbook of Time Series Analysis, pp. 411-436. , R. Schelter, M. Winterhalter, and J. Timmer (Eds.), Weinheim: Wiley-VCH
  7. Baccalá, L.A., Takahashi, D.Y., Sameshima, K., Generalized partial directed coherence (2007) 15th International Conference on Digital Signal Processing, pp. 163-166. , (DSP2007), Cardiff, Wales, UK
  8. Başar, E., (2004) Memory and Brain Dynamics: Oscillations Integrating Attention, Perception, Learning, and Memory, , Boca Raton, FL: CRC Press
  9. David, O., fMRI connectivity, meaning and empiricism: Comments on: Roebroeck et al. The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution (2009) NeuroImage, 58, pp. 306-309
  10. de Brito, C., Baccalá, L.A., Takahashi, D.Y., Asymptotic behavior of generalized partial directed coherence (2010) Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE, pp. 1718-1721. , Buenos Aires, Argentina
  11. Friston, K., Harrison, L., Penny, W., Dynamic causal modelling (2003) NeuroImage, 19, pp. 1273-1302
  12. Friston, K., Causal modelling and brain connectivity in functional magnetic resonance imaging (2009) PLoS Biol., 7, p. e1000033
  13. Gersch, W., Epileptic focus location: Spectral analysis method (1970) Science, 169, pp. 701-702
  14. Geweke, J., Testing the exogeneity specification in the complete dynamic simultaneous equation model (1979) J. Econometr., 7, pp. 163-185
  15. Geweke, J., Measurement of linear dependence and feedback between multiple time series (1982) J. Am. Stat. Assoc., 77, pp. 304-324
  16. Geweke, J., Measures of conditional linear dependence and feedback between time series (1984) J. Am. Stat. Assoc., 79, pp. 907-915
  17. Granger, C.W.J., Investigating causal relations by econometric models and cross-spectral methods (1969) Econometrica, 37, pp. 424-438
  18. Grefkes, C., Eickhoff, S.B., Nowak, D.A., Dynamic intra- and interhemispheric interactions during unilateral and bilateral hand movements assessed with fMRI and DCM (2008) NeuroImage, 41, pp. 1273-1302
  19. Kamiński, M., Blinowska, K.J., A new method of the description of the information flow in brain structures (1991) Biol. Cybern., 65, pp. 203-210
  20. Kline, R., (2005) Principles and Practice of Structural Equation Modelling, , (2nd ed.). New York:Guilford Press
  21. Loehlin, J., (2004) Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis, , (4th ed.). Mahwah: Lawrence Erlbaum
  22. Lütkepohl, H., (1993) Introduction to Multiple Time Series Analysis, , New York: Springer
  23. Lütkepohl, H., (2005) New Introduction to Multiple Time Series Analysis, , New York: Springer
  24. Penny, W.D., Friston, K.J., Ashburner, J.T., (2006) Statistical Parametric Mapping:The Analysis of Functional Brain Images, , London: Academic Press
  25. Roebroeck, A., Formisano, E., Goebel, R., The identification of interacting networks in the brain using fMRI: Model selection, causality and deconvolution (2009) NeuroImage, 58, pp. 296-302
  26. Saito, Y., Harashima, H., Tracking of information within multichannel record:Causal analysis in EEG (1981) Recent Advances in EEG and EMG Data Processing, pp. 133-146. , Amsterdam: Elsevier
  27. Schelter, B., Winterhalder, M., Eichler, M., Testing for directed influences among neural signals using partial directed coherence (2005) J. Neurosci. Methods, 152, pp. 210-219
  28. Sims, C.A., Money, income, and causality (1972) Am. Econ. Rev., 62, pp. 540-552
  29. Takahashi, D.Y., Baccalá, L.A., Sameshima, K., Information theoretic interpretation of frequency domain connectivity measures (2010) Biol. Cybern., 103, pp. 463-469