In this paper we propose the use of an adaptive multivariate approach to define time-varying multivariate estimators based on the Directed Transfer Function (DTF) and the Partial Directed Coherence (PDC). DTF and PDC are frequency-domain estimators that are able to describe interactions between cortical areas in terms of the concept of Granger causality. Time-varying DTF and PDC were obtained by the adaptive recursive fit of an MVAR model with timedependent parameters, by means of a generalized recursive least-square (RLS) algorithm, taking into consideration a set of EEG epochs. Such estimators are able to follow rapid changes in the connectivity between cortical areas during an experimental task. We provide an application to the cortical estimations obtained from high resolution EEG data, recorded from a group of healthy subject during a combined foot-lips movement, and present the time-varying connectivity patterns resulting from the application of both DTF and PDC. Two different cortical networks were detected, one constant across the task and the other evolving during the preparation of the joint movement.

Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement / L. Astolfi; F. Cincotti; D. Mattia; F. De Vico Fallani; A. Colosimo; S. Salinari; M.G. Marciani; M. Ursino; M. Zavaglia; W. Hesse; H. Witte; F. Babiloni. - ELETTRONICO. - (2007), pp. 4402-4405. (Intervento presentato al convegno 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2007 (EMBC 2007) tenutosi a Lyone, France nel 23-26 Agosto 2007).

Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement

URSINO, MAURO;ZAVAGLIA, MELISSA;
2007

Abstract

In this paper we propose the use of an adaptive multivariate approach to define time-varying multivariate estimators based on the Directed Transfer Function (DTF) and the Partial Directed Coherence (PDC). DTF and PDC are frequency-domain estimators that are able to describe interactions between cortical areas in terms of the concept of Granger causality. Time-varying DTF and PDC were obtained by the adaptive recursive fit of an MVAR model with timedependent parameters, by means of a generalized recursive least-square (RLS) algorithm, taking into consideration a set of EEG epochs. Such estimators are able to follow rapid changes in the connectivity between cortical areas during an experimental task. We provide an application to the cortical estimations obtained from high resolution EEG data, recorded from a group of healthy subject during a combined foot-lips movement, and present the time-varying connectivity patterns resulting from the application of both DTF and PDC. Two different cortical networks were detected, one constant across the task and the other evolving during the preparation of the joint movement.
2007
Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2007 (EMBC 2007)
4402
4405
Time-varying cortical connectivity by adaptive multivariate estimators applied to a combined foot-lips movement / L. Astolfi; F. Cincotti; D. Mattia; F. De Vico Fallani; A. Colosimo; S. Salinari; M.G. Marciani; M. Ursino; M. Zavaglia; W. Hesse; H. Witte; F. Babiloni. - ELETTRONICO. - (2007), pp. 4402-4405. (Intervento presentato al convegno 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2007 (EMBC 2007) tenutosi a Lyone, France nel 23-26 Agosto 2007).
L. Astolfi; F. Cincotti; D. Mattia; F. De Vico Fallani; A. Colosimo; S. Salinari; M.G. Marciani; M. Ursino; M. Zavaglia; W. Hesse; H. Witte; F. Babiloni
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/48472
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