In this paper, we applied such advanced approach in combination with the use of state-of-the-art graph theory indexes, computed on the connectivity networks ...
Jan 15, 2021 · In this paper, we applied such advanced approach in combination with the use of state-of-the-art graph theory indexes, computed on the ...
Advanced methods for time-varying effective connectivity estimation in ...
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In this paper, we applied such advanced approach in combination with the use of state-of-the-art graph theory indexes, computed on the connectivity networks.
In this study we applied advanced methodologies for effective connectivity estimation in combination with graph theory approach, to define EEG derived ...
Missing: processes. | Show results with:processes.
Recent advances in brain network analysis are largely based on graph theory methods to assess brain network organization, function, and malfunction.
Sep 10, 2015 · by the use of advanced methods for the estimation of time-varying effective connectivity in conjunction with the knowledge about the.
This article aims to provide a gentle introduction to the application of dFC. We first explain what dFC is and the circumstances under which it can be used.
Our study highlights the importance of developing more advanced methods for measuring IS that account for non-stationarity in physiological systems. ... time ...
This study develops an efficient and reliable technique for the estimation of brain effective connectivity, termed as, ”Efficient Effective Connectivity (EEC)”.
Missing: varying | Show results with:varying
The key to Dynamic Causal Modeling (DCM) technique is that the response of a dynamic system can be modeled by a network of discrete but interacting neuronal ...