Affiliation:
1. HUN‐REN Research Centre for Natural Sciences Budapest Hungary
2. Faculty of Electrical Engineering and Informatics, Department of Measurement and Information Systems Budapest University of Technology and Economics Budapest Hungary
Abstract
AbstractElectroencephalography (EEG) functional connectivity (FC) estimates are confounded by the volume conduction problem. This effect can be greatly reduced by applying FC measures insensitive to instantaneous, zero‐lag dependencies (corrected measures). However, numerous studies showed that FC measures sensitive to volume conduction (uncorrected measures) exhibit higher reliability and higher subject‐level identifiability. We tested how source reconstruction contributed to the reliability difference of EEG FC measures on a large (n = 201) resting‐state data set testing eight FC measures (including corrected and uncorrected measures). We showed that the high reliability of uncorrected FC measures in resting state partly stems from source reconstruction: idiosyncratic noise patterns define a baseline resting‐state functional network that explains a significant portion of the reliability of uncorrected FC measures. This effect remained valid for template head model‐based, as well as individual head model‐based source reconstruction. Based on our findings we made suggestions how to best use spatial leakage corrected and uncorrected FC measures depending on the main goals of the study.
Funder
Office of Naval Research
Nemzeti Kutatási Fejlesztési és Innovációs Hivatal
Cited by
1 articles.
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