Constructing Surrogate Data to Control for Artifacts of Volume Conduction for Functional Connectivity Measures

The major problem in examining interactions between sources of brain activity from MEG and EEG data are the ‘artifacts of volume conduction’ denoting the fact that the sensors measure a largely unknown superposition of brain activities. In this work we suggest a method to test for artifacts of volume conductions. The test is absolutely general: it is applicable to both linear and nonlinear methods and both on the sensor and source level.