In the study of brain functional or effective connectivity using electroencephalography (EEG) data, it is imperative to work on reconstructed sources rather than sensor data in order to obtain interpretable results (Haufe, 2013). Due to the illposed nature of the EEG inverse problem, however, source estimates highly depend on a method's inherent assumptions, as well as on forward modeling factors such as the choice of the anatomical template and electrical model. In practice, researchers typically make use of the templates and default analysis pipelines offered by publicly available toolboxes. In order to establish source connectivity analyses as a meaningful research tool, consistency across a wide range of standard estimation pipelines would be mandatory. However, no study has yet quantified the variability of results as a function of source reconstruction parameters.

How reproducible are EEG source location and connectivity estimates?

MAHJOORY, KEYVAN;FATO, MARCO MASSIMO;
2016-01-01

Abstract

In the study of brain functional or effective connectivity using electroencephalography (EEG) data, it is imperative to work on reconstructed sources rather than sensor data in order to obtain interpretable results (Haufe, 2013). Due to the illposed nature of the EEG inverse problem, however, source estimates highly depend on a method's inherent assumptions, as well as on forward modeling factors such as the choice of the anatomical template and electrical model. In practice, researchers typically make use of the templates and default analysis pipelines offered by publicly available toolboxes. In order to establish source connectivity analyses as a meaningful research tool, consistency across a wide range of standard estimation pipelines would be mandatory. However, no study has yet quantified the variability of results as a function of source reconstruction parameters.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/863453
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