References

Baccala2001

Baccala L.A. and Sameshima K. Partial directed coherence: a new concept in neural structure determination. Biological Cybernetics. 84. 463-474. https://doi.org/10.1007/PL00007990

Barrett2010

Barrett A.B., Barnett L. and Seth A.K. Multivariate Granger causality and generalized variance. Physical Review E. E81, 041907. http://dx.doi.org/10.1103/PhysRevE.81.041907

Burnham2002

Burnham K.P. and Anderson D.R. Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach. Springer. ISBN: 9780387224565

Chatfield2003

Chatfield C. The Analysis of Time Series: An Introduction. Chapman and Hall. ISBN: 9780429208706

Colclough2015

Colclough G.L., Brookes M.J., Smith S.M., Woolrich M.W. A symmetric multivariate leakage correction for MEG connectomes. NeuroImage. 117. 439-448. http://dx.doi.org/10.1016/j.neuroimage.2015.03.071

Ding2000

Ding M., Bressler S.L., Weiming Y. and Liang H. Short-window spectral analysis of cortical event-related potentials by adaptive multivariate autoregressive modeling: data preprocessing, model validation, and variability assessment. Biological Cybernetics. 83(1) 35-45. https://doi.org/10.1007/s004229900137

Durbin1950

Durbin, J., & Watson, G. S. (1950). Testing For Serial Correlation In Least Squares Regression. I. Biometrika, 37(3–4), 409–428. https://doi.org/10.1093/biomet/37.3-4.409

Durbin1951

Durbin, J., & Watson, G. S. (1951). Testing For Serial Correlation In Least Squares Regression. II. Biometrika, 38(1–2), 159–178. https://doi.org/10.1093/biomet/38.1-2.159

Fasoula2013

Fasoula A, Attal Y and Schwartz D. Comparative performance evaluation of data-driven causality measures applied to brain networks. Journal of Neuroscience Methods. 215(2). 170-189. https://doi.org/10.1016/j.jneumeth.2013.02.021

Kaminski1991

Kaminski M.J. and Blinowska K.J. A new method of the description of the information flow in the brain structures. Biological Cybernetics. 65(3) 203-210. http://dx.doi.org/10.1007/BF00198091

Kasdin1995

Kasdin, N.J. Discrete Simulation of Colored Noise and Stochastic Processes and 1/f^alpha Power Law Noise Generation, Proceedings of the IEEE, Vol. 83, No. 5, 1995, pp. 802-827.

Korzeniewska2003

Korzeniewska A, Mańczakb M, Kamiński M, Blinowska K.J. and Kasicki S. Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method. Journal of Neuroscience Methods. 125(1-2). 195-207. https://doi.org/10.1016/S0165-0270(03)00052-9

Krzywinski2009

Krzywinski M, Schein J, Birol I, Connors J, Gascoyne R, Horsman D, Jones S.J. and Marra M.A. Circos: an Information Aesthetic for Comparative Genomics. Genome Res. 19(9). 1639-1645. http://dx.doi.org/10.1101/gr.092759.109

Lutkephol2006

Lutkepohl H. New Introduction to Multiple Time Series Analysis. Springer. ISBN: 9783540262398

Marple1987

Marple Jr, L.S. Digital Spectral Analysis: With Applications. Prentice-Hall. ISBN: 9780132141499

Neumaier2001

Neumaier A. and Schneider T. Estimation of parameters and eigenmodes of multivariate autoregressive models. ACM Transactions on Mathematical Software. 27(1). 27-57. http://dx.doi.org/10.1145/382043.382304

Pascual-Marqui2014

Pascual-Marqui R.D., Biscay R.J., Bosch-Bayard J., Lehmann D., Kochi K., Kinoshita T., Yamada N. and Sadato N. Assessing direct paths of intracortical causal information flow of oscillatory activity with the isolated effective coherence (iCOH). Frontiers in Human Neuroscience. 8. 448. http://dx.doi.org/10.3389/fnhum.2014.00448

Pascual-Marqui2017

Pascual-Marqui R.D., Biscay R.J., Bosch-Bayard J., Faber P., Kinoshita T., Kochi K., Milz P., Nishida K. and Yoshimura M. Innovations orthogonalization: a solution to the major pitfalls of EEG/MEG “leakage correction”. Biorxiv. https://doi.org/10.1101/178657

Penny2009

Penny W.D. Signal Processing Course. https://www.fil.ion.ucl.ac.uk/~wpenny/course/course.html

Quinn2020

Quinn A.J. and Hymers M. SAILS: Spectral Analysis In Linear Systems. Journal of Open Source Software, 5(47), 1982. https://doi.org/10.21105/joss.01982

Quinn2021

Quinn A.J., Green G.G.R. and Hymers, M. Delineating between-subject heterogeneity in alpha networks with Spatio-Spectral Eigenmodes. NeuroImage, 118330. https://doi.org/10.1016/j.neuroimage.2021.118330

Schelter2006

Schelter B, Winterhalder M, Eichler M, Peifer M, Hellwig B, Guschlbauer B, Hermann-Lucking C, Dahlhaus R and Timmer J. Testing for directed influences among neural signals using partial directed coherence. Journal of Neuroscience Methods. 152(1-2). 210-219. https://doi.org/10.1016/j.jneumeth.2005.09.001

Quirk1983

Quirk M. and Liu B. Improving resolution for autoregressive spectral estimation by decimation. IEEE Transactions on Acoustics, Speech and Signal Processing. 31(3) 630-637. http://dx.doi.org/10.1109/TASSP.1983.1164124

Zhu2006

Zhu M and Ghodsi A. Automatic dimensionality selection from the scree plot via the use of profile likelihood. Computational Statistics & Data Analysis. 51(2) 918-930. https://doi.org/10.1016/j.csda.2005.09.010