engleski

Cortical neurodynamics estimation

Neuromagnetic recordings provide a real time extracranial measure of neuronal activity. Cortical neurodynamics estimation, however, requires modeling approaches and, as it has been shown by our previous simulation studies, was found to be critically dependent on the location estimation accuracy and the use of an efficient global minimizer. We will present numerical simulations using a semi-automated Calibrated Start Spatio-Temporal (CSST) algorithm assuming up to 7 focal and/or extended cortical sources exploring neurodynamics estimation accuracy and strategies to optimize it. Our latest empirical MEG results using multi-start CSST spatio-temporal localization indicated a distributed cortical network involved in face processing that was face stimulus features and task dependent with a pronounced intersubject variability.

MEG; spatio-temporal source localization; cortical neurodynamics

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