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In this study we estimated time-varying cortical connectivity patterns from a group of spinal cord injured (SCI) patients during the attempt to move a paralyzed limb. These data were compared with the time-varying connectivity patterns estimated in a control group during the real execution of the movement by using time-varying partial directed coherence. Connectivity was estimated from high resolution...
In this paper we propose the use of a time-varying multivariate estimator based on the partial directed coherence (PDC), a frequency-domain estimator able to describe interactions between cortical areas in terms of the concept of Granger causality. Time-varying PDC was obtained by the adaptive recursive fit of an MVAR model with time-dependent parameters, by means of a generalized recursive least-square...
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...
The problem of the definition and evaluation of brain connectivity has become a central one in neuroscience during the latest years, as a way to understand the organization and interaction of cortical areas during the execution of cognitive or motor tasks. The method of the directed transfer function (DTF) is a frequency-domain approach to this problem, based on a multivariate autoregressive modeling...
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