scholarly journals Comparison of different cortical connectivity estimators for high-resolution EEG recordings

2007 ◽  
Vol 28 (2) ◽  
pp. 143-157 ◽  
Author(s):  
Laura Astolfi ◽  
Febo Cincotti ◽  
Donatella Mattia ◽  
M. Grazia Marciani ◽  
Luiz A. Baccala ◽  
...  
Keyword(s):  
High Resolution ◽  
Cortical Connectivity ◽  
Eeg Recordings ◽  
High Resolution Eeg

Extracting Information from Cortical Connectivity Patterns Estimated from High Resolution EEG Recordings: A Theoretical Graph Approach

2007 ◽  
Vol 19 (3) ◽  
pp. 125-136 ◽  
Author(s):  
Fabrizio De Vico Fallani ◽  
Laura Astolfi ◽  
Febo Cincotti ◽  
Donatella Mattia ◽  
Andrea Tocci ◽  
...  
Keyword(s):  
High Resolution ◽  
Cortical Connectivity ◽  
Connectivity Patterns ◽  
Eeg Recordings ◽  
High Resolution Eeg

Time-Varying Cortical Connectivity Estimation from Noninvasive, High-Resolution EEG Recordings

2010 ◽  
Vol 24 (2) ◽  
pp. 83-90 ◽  
Author(s):  
Laura Astolfi ◽  
Febo Cincotti ◽  
Donatella Mattia ◽  
Fabrizio De Vico Fallani ◽  
Giovanni Vecchiato ◽  
...  
Keyword(s):  
High Resolution ◽  
Normal Population ◽  
Control Group ◽  
Time Varying ◽  
Cortical Areas ◽  
Eeg Data ◽  
Connectivity Patterns ◽  
Eeg Recordings ◽  
Parietal Cortices ◽  
High Resolution Eeg

Objective: In this paper, we propose a body of techniques for the estimation of rapidly changing connectivity relationships between EEG signals estimated in cortical areas, based on the use of adaptive multivariate autoregressive modeling (AMVAR) for the estimation of a time-varying partial directed coherence (PDC). This approach allows the observation of rapidly changing influences between the cortical areas during the execution of a task, and does not require the stationarity of the signals. Methods: High resolution EEG data were recorded 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. Connectivity was estimated with the use of realistic head modeling and the linear inverse estimation of the cortical activity in a series of regions of interest by using time-varying PDC. Results: The SCI population involved a different cortical network than those generated by the healthy subjects during the task performance. Such a network differs for the involvement of the parietal cortices, which increases in strength near to the movement imagination onset for the SCI when compared to the normal population. Conclusions: The application of time-varying PDC allows tracking the evolution of the connectivity between cortical areas in the analyzed populations during the proposed tasks. Such details about the temporal evolution of the connectivity patterns estimated cannot be obtained with the application of the standard estimators of connectivity.

Estimation of cortical activity from noninvasive high-resolution EEG recordings

2004 ◽  
Vol 1270 ◽  
pp. 245-248 ◽  
Author(s):  
Donatella Mattia ◽  
Marco Mattiocco ◽  
Alessandro Timperi ◽  
Serenella Salinari ◽  
Maria Grazia Marciani ◽  
...  
Keyword(s):  
High Resolution ◽  
Cortical Activity ◽  
Eeg Recordings ◽  
High Resolution Eeg
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