Abstract
The aim of this study is to develop a time-frequency method and test its applicability to investigating directional cortical connectivity in the newborn brain considering the effect of volume conduction. We modified time-varying partial directed coherence (tv-PDC) based on orthogonalization of the MVAR model coefficients to deal with the effect of mutual independent sources. The novel measure was then tested using a simulated signal with feature dimensions relevant to EEG activity. From the neonatal EEG responses evoked by flash light stimuli (1Hz), we extracted the directional interactions over time within each hemisphere. The results suggest that the method is able to detect directed information flow within a sub-second time scale in nonstationary multichannel signals (such as newborn EEG) and attenuate the problematic effect of volume conduction for multichannel EEG connectivity analysis.
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References
Fisch, B.J.: Fisch & Spehlmann’s EEG primer: Basic principles of digital and analog EEG. Elsevier, Amsterdam (2005)
Marinazzo, D., Liao, W., Chen, H., Stramaglia, S.: Nonlinear connectivity by Granger causality. Neuroimage 58, 330–338 (2010)
Milde, T., Leistritz, L., Astolfi, L., Miltner, W.H.R., Weiss, T., Babiloni, F., Witte, H.: A new Kalman filter approach for the estimation of high-dimensional time-variant multivariate AR models and its application in analysis of laser-evoked brain potentials. Neuroimage 50, 960–969 (2010)
Lehnertz, K.: Assessing directed interactions from neurophysiological signals-an overview. Physiological Measurement 32, 1715 (2011)
Faes, L., Erla, S., Nollo, G.: Measuring Connectivity in Linear Multivariate Processes: Definitions, Interpretation, and Practical Analysis. Computational and Mathematical Methods in Medicine (2012)
Cheung, B.L.P., Van Veen, B.D.: Estimation of cortical connectivity from E/MEG using nonlinear state-space models. In: 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 769–772 (2011)
Sommerlade, L., Henschel, K., Wohlmuth, J., Jachan, M., Amtage, F., Hellwig, B., Lücking, C.H., Timmer, J., Schelter, B.: Time-variant estimation of directed influences during Parkinsonian tremor. Journal of Physiology-Paris 103, 348–352 (2009)
Geweke, J.: Measurement of Linear Dependence and Feedback Between Multiple Time Series. Journal of the American Statistical Association 77, 304–313 (1982)
Baccalá, L.A., Sameshima, K.: Partial directed coherence: a new concept in neural structure determination. Biological Cybernetics 84, 463–474 (2001)
Kaminski, M., Blinowska, K.: A new method of the description of the information flow in the brain structures. Biological Cybernetics 65, 203–210 (1991)
Korzeniewska, A., Manczak, M., Kaminski, M., Blinowska, K.J., Kasicki, S.: Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method. Journal of Neuroscience Methods 125, 195–207 (2003)
Winterhalder, M., Schelter, B., Hesse, W., Schwab, K., Leistritz, L., Klan, D., Bauer, R., Timmer, J., Witte, H.: Comparison of linear signal processing techniques to infer directed interactions in multivariate neural systems. Signal Processing 85, 2137–2160 (2005)
Nolte, G., Bai, O., Wheaton, L., Mari, Z., Vorbach, S., Hallett, M.: Identifying true brain interaction from EEG data using the imaginary part of coherency. Clinical Neurophysiology 115, 2292–2307 (2004)
Gomez-Herrero, G.: Brain Connectivity Analysis with EEG. Doctoral dissertation, Department of Signal Processing, Tampere University of Technology, Finland (2010)
Hipp, J.F., Hawellek, D.J., Corbetta, M., Siegel, M., Engel, A.K.: Large-scale cortical correlation structure of spontaneous oscillatory activity. Nat. Neurosci. 15, 884–890 (2012)
Yuanqing, L., Cichocki, A., Amari, S.I.: Blind estimation of channel parameters and source components for EEG signals: a sparse factorization approach. IEEE Transactions on Neural Networks 17, 419–431 (2006)
Roche-Labarbe, N., Aarabi, A., Kongolo, G., Gondry-Jouet, C., Dumpelmann, M., Grebe, R., Wallois, F.: High-resolution Electroencephalography and source localization in neonates. Human Brain Mapping 29, 167–176 (2008)
Yan, Z., Gao, X.: Functional connectivity analysis of steady-state visual evoked potentials. Neuroscience Letters 499, 199–203 (2011)
Srinivasan, R., Fornari, E., Knyazeva, M., Meuli, R., Maeder, P.: fMRI responses in medial frontal cortex that depend on the temporal frequency of visual input. Experimental Brain Research 180, 677–691 (2007)
Burkitt, G.R., Silberstein, R.B., Cadusch, P.J., Wood, A.W.: Steady-state visual evoked potentials and travelling waves. Clinical Neurophysiology 111, 246–258 (2000)
Nunez, P.L.: Implications of white matter correlates of EEG standing and traveling waves. Neuroimage 57, 1293–1299 (2010)
Thoresen, M., Hellström-Westas, L., Liu, X., de Vries, L.S.: Effect of Hypothermia on Amplitude-Integrated Electroencephalogram in Infants With Asphyxial. Pediatrics 126, 131–139 (2010)
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Omidvarnia, A.H., Azemi, G., Boashash, B., Toole, J.M.O., Colditz, P., Vanhatalo, S. (2012). Orthogonalized Partial Directed Coherence for Functional Connectivity Analysis of Newborn EEG. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7664. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34481-7_83
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DOI: https://doi.org/10.1007/978-3-642-34481-7_83
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