Original Article
Reliability of event-related EEG functional connectivity during visual entrainment: Magnitude squared coherence and phase synchrony estimates
Vladimir Miskovic,
Andreas Keil,
Corresponding Author
Vladimir Miskovic
Department of Psychology, State University of New York at Binghamton, Binghamton, New York, USA
Address correspondence to: Vladimir Miskovic, Department of Psychology, State University of New York at Binghamton, Clearview Hall, 4400 Vestal Parkway East, Binghamton, NY 13902, USA. E-mail: [email protected]Search for more papers by this authorAndreas Keil
Center for the Study of Emotion and Attention, University of Florida, Gainesville, Florida, USA
Search for more papers by this authorVladimir Miskovic,
Andreas Keil,
Corresponding Author
Vladimir Miskovic
Department of Psychology, State University of New York at Binghamton, Binghamton, New York, USA
Address correspondence to: Vladimir Miskovic, Department of Psychology, State University of New York at Binghamton, Clearview Hall, 4400 Vestal Parkway East, Binghamton, NY 13902, USA. E-mail: [email protected]Search for more papers by this authorAndreas Keil
Center for the Study of Emotion and Attention, University of Florida, Gainesville, Florida, USA
Search for more papers by this authorThis research was supported by grants from the National Institute of Mental Health (R01 MH084932-02 and R01 MH097320) and from the U.S. Army Medical Research Acquisition Activity (USAMRAA) (W81XWH-11-2-0008) awarded to AK and by a fellowship from the Canadian Institutes of Health Research (CIHR) awarded to VM.
Abstract
There is an increasing trend towards using noninvasive electroencephalography (EEG) to quantify functional brain connectivity. However, little is known about the psychometrics of commonly used functional connectivity indices. We examined the internal consistency of two different connectivity metrics: magnitude squared coherence and phase synchrony. EEG was recorded during visual entrainment to elicit a strong oscillatory component of known frequency. We found acceptable to good split-half reliability for the connectivity metrics when computing all possible pairwise interactions and after selecting an a priori seed reference. We also compared reliability estimates when using average referenced sensor versus reference independent current source density EEG data. Additional considerations were given to determining how reliability was influenced by factors including trial number, signal-to-noise ratio, and frequency content.
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