144
J. W. Choi and K. H. Kim
33. C.M. Michel, M.M. Murray, G. Lantz et al., EEG source imaging. Clin. Neurophysiol. 115,
2195–2222 (2004). https://doi.org/10.1016/j.clinph.2004.06.001
34. T. Mima, T. Matsuoka, M. Hallett, Functional coupling of human right and left cortical motor
areas demonstrated with partial coherence analysis. Neurosci. Lett. 287, 93–96 (2000)
35. W. Mumtaz, S. Saad, A. Ali et al., A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD). Med. Biol. Eng. Comput.
(2017). https://doi.org/10.1007/s11517-017-1685-z
36. G. Nolte, O. Bai, L. Wheaton et al., Identifying true brain interaction from EEG data using the
imaginary part of coherency. Clin. Neurophysiol. 115, 2292–2307 (2004). https://doi.org/10.1
016/j.clinph.2004.04.029
37. G. Nolte, A. Ziehe, V.V. Nikulin et al., Robustly Estimating the Flow Direction of Information
in Complex Physical Systems. (2007). https://doi.org/10.1103/physrevlett.100.234101
38. P.L. Nunez, R. Srinivasan, A.F. Westdorp et al., EEG coherency I: statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales.
Electroencephalogr. Clin. Neurophysiol. 103, 499–515 (1997)
39. S. Palva, J.M. Palva, The role of local and large-scale neuronal synchronization in human
cognition, in Multimodal Oscillation-Based Connectivity Theory, ed. by S. Palva (Springer
International Publishing Switzerland, 2016), pp. 51–67
40. R.D. Pascual-Marqui, Review of methods for solving the EEG inverse problem. Int. J. Bioelectromagn. Print Issue ISSN 1:75–86 (1999)
41. R.D. Pascual-Marqui, C.M. Michel, D. Lehmann, Low resolution electromagnetic tomography:
a new method for localizing electrical activity in the brain. Int. J. Psychophysiol. 18, 49–65
(1994)
42. E. Pereda, R. Quian Quiroga, J. Bhattacharya, Nonlinear multivariate analysis of neurophysiological signals. Prog. Neurobiol. 77, 1–37 (2005). https://doi.org/10.1016/j.pneurobio.2005.
10.003
43. F. Perrin, J. Pernier, O. Bertrand, J.F. Echallier, Spherical splines for scalp potential and current
density mapping. Electroencephalogr. Clin. Neurophysiol. 72, 184–187 (1989). https://doi.or
g/10.1016/0013-4694(89)90180-6
44. V. Sakkalis, Review of advanced techniques for the estimation of brain connectivity measured
with EEG/MEG. Comput. Biol. Med. 41, 1110–1117 (2011). https://doi.org/10.1016/j.compb
iomed.2011.06.020
45. P. Sauseng, W. Klimesch, W.R. Gruber, N. Birbaumer, Cross-frequency phase synchronization:
a brain mechanism of memory matching and attention. Neuroimage 40, 308–317 (2008). https://
doi.org/10.1016/j.neuroimage.2007.11.032
46. J.M. Schoffelen, J. Gross, Source connectivity analysis with MEG and EEG. Hum. Brain Mapp.
30, 1857–1865 (2009). https://doi.org/10.1002/hbm.20745
47. A.K. Seth, A.B. Barrett, L. Barnett, Toolbox granger causality analysis in neuroscience and
neuroimaging. J. Neurosci. 35, 3293–3297 (2015). https://doi.org/10.1523/JNEUROSCI.439
9-14.2015
48. C.E. Shannon, A mathematical theory of communication. Bell Syst. Tech. J. 27, 379–423
(1948). https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
49. M. Siegel, T.H. Donner, A.K. Engel, Spectral fingerprints of large-scale neuronal interactions.
Nat. Rev. Neurosci. 13, 121–134 (2012). https://doi.org/10.1038/nrn3137
50. W. Singer, Synchronization of cortical activity and its putative role in information processing
and learning. Annu. Rev. Physiol. 55, 349–374 (1993)
51. C.J. Stam, W. De Haan, A. Daffertshofer et al., Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer’s disease. Brain 132, 213–224 (2009).
https://doi.org/10.1093/brain/awn262
52. C.J. Stam, G. Nolte, A. Daffertshofer, Phase lag index: assessment of functional connectivity
from multi channel EEG and MEG with diminished bias from common sources. Hum. Brain
Mapp. 28, 1178–1193 (2007). https://doi.org/10.1002/hbm.20346
53. C.J. Stam, J.C. Reijneveld, Nonlinear biomedical physics graph theoretical analysis of complex
networks in the brain. Nonlinear Biomed. Phys. 1, 1–19 (2007). https://doi.org/10.1186/17534631-1-3
J. W. Choi and K. H. Kim
33. C.M. Michel, M.M. Murray, G. Lantz et al., EEG source imaging. Clin. Neurophysiol. 115,
2195–2222 (2004). https://doi.org/10.1016/j.clinph.2004.06.001
34. T. Mima, T. Matsuoka, M. Hallett, Functional coupling of human right and left cortical motor
areas demonstrated with partial coherence analysis. Neurosci. Lett. 287, 93–96 (2000)
35. W. Mumtaz, S. Saad, A. Ali et al., A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD). Med. Biol. Eng. Comput.
(2017). https://doi.org/10.1007/s11517-017-1685-z
36. G. Nolte, O. Bai, L. Wheaton et al., Identifying true brain interaction from EEG data using the
imaginary part of coherency. Clin. Neurophysiol. 115, 2292–2307 (2004). https://doi.org/10.1
016/j.clinph.2004.04.029
37. G. Nolte, A. Ziehe, V.V. Nikulin et al., Robustly Estimating the Flow Direction of Information
in Complex Physical Systems. (2007). https://doi.org/10.1103/physrevlett.100.234101
38. P.L. Nunez, R. Srinivasan, A.F. Westdorp et al., EEG coherency I: statistics, reference electrode, volume conduction, Laplacians, cortical imaging, and interpretation at multiple scales.
Electroencephalogr. Clin. Neurophysiol. 103, 499–515 (1997)
39. S. Palva, J.M. Palva, The role of local and large-scale neuronal synchronization in human
cognition, in Multimodal Oscillation-Based Connectivity Theory, ed. by S. Palva (Springer
International Publishing Switzerland, 2016), pp. 51–67
40. R.D. Pascual-Marqui, Review of methods for solving the EEG inverse problem. Int. J. Bioelectromagn. Print Issue ISSN 1:75–86 (1999)
41. R.D. Pascual-Marqui, C.M. Michel, D. Lehmann, Low resolution electromagnetic tomography:
a new method for localizing electrical activity in the brain. Int. J. Psychophysiol. 18, 49–65
(1994)
42. E. Pereda, R. Quian Quiroga, J. Bhattacharya, Nonlinear multivariate analysis of neurophysiological signals. Prog. Neurobiol. 77, 1–37 (2005). https://doi.org/10.1016/j.pneurobio.2005.
10.003
43. F. Perrin, J. Pernier, O. Bertrand, J.F. Echallier, Spherical splines for scalp potential and current
density mapping. Electroencephalogr. Clin. Neurophysiol. 72, 184–187 (1989). https://doi.or
g/10.1016/0013-4694(89)90180-6
44. V. Sakkalis, Review of advanced techniques for the estimation of brain connectivity measured
with EEG/MEG. Comput. Biol. Med. 41, 1110–1117 (2011). https://doi.org/10.1016/j.compb
iomed.2011.06.020
45. P. Sauseng, W. Klimesch, W.R. Gruber, N. Birbaumer, Cross-frequency phase synchronization:
a brain mechanism of memory matching and attention. Neuroimage 40, 308–317 (2008). https://
doi.org/10.1016/j.neuroimage.2007.11.032
46. J.M. Schoffelen, J. Gross, Source connectivity analysis with MEG and EEG. Hum. Brain Mapp.
30, 1857–1865 (2009). https://doi.org/10.1002/hbm.20745
47. A.K. Seth, A.B. Barrett, L. Barnett, Toolbox granger causality analysis in neuroscience and
neuroimaging. J. Neurosci. 35, 3293–3297 (2015). https://doi.org/10.1523/JNEUROSCI.439
9-14.2015
48. C.E. Shannon, A mathematical theory of communication. Bell Syst. Tech. J. 27, 379–423
(1948). https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
49. M. Siegel, T.H. Donner, A.K. Engel, Spectral fingerprints of large-scale neuronal interactions.
Nat. Rev. Neurosci. 13, 121–134 (2012). https://doi.org/10.1038/nrn3137
50. W. Singer, Synchronization of cortical activity and its putative role in information processing
and learning. Annu. Rev. Physiol. 55, 349–374 (1993)
51. C.J. Stam, W. De Haan, A. Daffertshofer et al., Graph theoretical analysis of magnetoencephalographic functional connectivity in Alzheimer’s disease. Brain 132, 213–224 (2009).
https://doi.org/10.1093/brain/awn262
52. C.J. Stam, G. Nolte, A. Daffertshofer, Phase lag index: assessment of functional connectivity
from multi channel EEG and MEG with diminished bias from common sources. Hum. Brain
Mapp. 28, 1178–1193 (2007). https://doi.org/10.1002/hbm.20346
53. C.J. Stam, J.C. Reijneveld, Nonlinear biomedical physics graph theoretical analysis of complex
networks in the brain. Nonlinear Biomed. Phys. 1, 1–19 (2007). https://doi.org/10.1186/17534631-1-3