Abstract
The joint use of total and partial coherence between pairs of EEGs simultaneously recorded in a standard set, is shown to enhance what is caused by direct correlation between cortical subsystems and what is instead related to the spread of the electromagnetic field. A multi-variable autoregressive approach is employed in the computation, giving results even for a very short time window, thus allowing coherence to be investigated at the main cortical latencies of evoked potentials. In particular, when a combined visual and somatosensory stimulation is applied, cortical interactions are captured in the frequency domain.
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References
Akaike, H. (1970): ‘Statistical predictor identification’,Ann. Inst. Statist. Math.,22, pp. 203–217.
Baselli, G., Cerruti, S., Civardi, S., Liberati, D., Lombardi, F., Malliani, A., andPagani, M. (1986): ‘Spectral and cross-spectral analysis of heart rate and arterial blood pressure variability signals’,Comput. Biomed. Res.,19, pp. 520–534.
Bendat, J. andPiersol, A. (1980): ‘Engineering applications of correlation and spectral analysis’ (Wiley).
Box, G. E. P., andJenkins, G. M. (1976): ‘Time series analysis, forecasting and control’ (Holden-Day, San Francisco).
Cerutti, S., Liberati, D., andMascellani, P. (1985): ‘Parameter extraction in EEG processing during riskful neurosurgical operation’,Sig. Proc.,9, pp. 25–35.
Cerruti, S., andLiberati, D. (1985): ‘Autoregressive modeling and filtering of EEG signal generating mechanism in patients under surgical interventions’,Model. Simul. Control.,2 (4), pp. 11–23.
Cerruti, S., Baselli, G., Liberati, D., andPavesi, G. (1987): ‘Single sweep analysis of visual evoked potentials through a model of parametric identification’,Biol. Cybern.,56, pp. 111–120.
Cerruti, S., Chiatenza, G., Liberati, D., Mascellani, andPavesi, G. (1987): ‘A parametric method of identification of the single trial event related potentials in the brain’,IEEE Trans.,BME-35, pp. 701–711.
Comi, G., Locatelli, T., Fornara, C., Bianchi, A., andLiberati, D. (1990): ‘Topographic maps of single sweep long latency median nerve analysis’,EEG Clin. Neurophys.,S41, (4), pp. 28–33.
Gersch, W. (1970): ‘Spectral analysis of EEGs by autorgressive decompositions of time series’,Math. Biosci.,7, pp. 205–222.
Gevins, A. S., andRemond, A. (1987): ‘Methods of analysis of brain electrical and magnetic signalsin ‘Handbook of electroencephalography and clinical neurophysiology, vol. 1’ (Elsevier, Amsterdam).
Haykin, S., andKesler, S. (1979): ‘Prediction-error filtering and maximum-entropy spectral estimation’in Haykin, S. (Ed.), ‘Nonlinear methods of spectral analysis’ (Springer, Berlin).
Hjorth, B. (1983): ‘An on-line transformation of EEG scalp potentials into ortogonal source derivation’,Electroenceph. Clin. Neurophysiol.,56, pp. 501–514.
Isaksson, A., Wennberg, A., andZetterberg, L. H. (1981): ‘Computer analysis of EEG signals with parametric models’,Proc. IEEE,69, pp. 451–461.
Liberati, D., Cerruti, S., Diponsio, E., Ventimiglia, V., andZaninelli, L. (1989): ‘Methodological aspects for the implementation of ARX modeling in single sweep visual evoked potentials analysis’,J. Biomed. Eng.,11, pp. 285–292.
Liberati, D. (1991): ‘Patrial and total coherence analysis of heart rate variability, blood pressure and respiration signals’,Proc. IV Int. Symp. on Biomedical Engineering, Pensicola, USA.
Liberati, D., Bertolini, L., andColombo, D. C. (1991a): ‘A parametric method for the detection of inter and intra-sweep variability in VEP's processing’,Med. Biol. Eng. Comput.,29, pp. 159–166.
Liberati, D., Bedarida, L., Brandazza, P., andCerruti, S. (1991b): ‘A model for the cortico-cortical neural interaction in multisensory evoked potentials’,IEEE Trans.,BME-39(9), pp. 879–890.
Liberati, D., Dicorrado, S., andMandelli, S. (1992): ‘Topographic mapping of single sweep evoked potentials in the brain’,IEEE Trans.,BME-39, pp. 943–951.
Liberati, D., Narici, L., Santoni, A., andCerutti, S. (1992b): ‘The dynamic behaviour of the evoked magneto-encephalogram detected through parametric identification’,J. Biomed. Eng.,14, pp. 57–64.
Marple, L. (1987): ‘Digital spectral analysis with applications’ (Prentice Hall).
Nunez, P. L. (1981): ‘Electric fields of the brain. The neurophysics of EEG’ (Oxford University Press, New York).
Regan, D. (1972): ‘Evoked potential in psychology, sensory physiology, and clinical medicine’ (Chapman and Hall, London).
Zetterberg, L. (1969): ‘Estimation of parameters for a linear differences equation with application to EEG analysis’,Mat. Biosci.,5, pp. 227–275.
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Liberati, D., Cursi, M., Locatelli, T. et al. Total and partial coherence analysis of spontaneous and evoked EEG by means of multi-variable autoregressive processing. Med. Biol. Eng. Comput. 35, 124–130 (1997). https://doi.org/10.1007/BF02534142
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DOI: https://doi.org/10.1007/BF02534142