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Reliability of Functional Connectivity of Electroencephalography Applying Microstate-Segmented Versus Classical Calculation of Phase Lag Index.
Journal article

Reliability of Functional Connectivity of Electroencephalography Applying Microstate-Segmented Versus Classical Calculation of Phase Lag Index.

  • Hatz F 1 Department of Neurology, Hospital of the University of Basel , Basel, Switzerland .
  • Hardmeier M 1 Department of Neurology, Hospital of the University of Basel , Basel, Switzerland .
  • Bousleiman H 1 Department of Neurology, Hospital of the University of Basel , Basel, Switzerland .
  • Rüegg S 1 Department of Neurology, Hospital of the University of Basel , Basel, Switzerland .
  • Schindler C 2 Swiss Tropical and Public Health Institute, University of Basel , Basel, Switzerland .
  • Fuhr P 1 Department of Neurology, Hospital of the University of Basel , Basel, Switzerland .
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  • 2016-05-26
Published in:
  • Brain connectivity. - 2016
neuropsychology
quantitative electroencephalography
Adult
Aged
Cerebral Cortex
Connectome
Electroencephalography
Female
Humans
Male
Middle Aged
Reproducibility of Results
Signal Processing, Computer-Assisted
Young Adult
English Connectivity analysis characterizes normal and altered brain function, for example, using the phase lag index (PLI), which is based on phase relations. However, reliability of PLI over time is limited, especially for single- or regional-link analysis. One possible cause is repeated changes of network configuration during registration. These network changes may be associated with changes of the surface potential fields, which can be characterized by microstate analysis. Microstate analysis describes repeating periods of quasistable surface potential fields lasting in the subsecond time range. This study aims to describe a novel combination of PLI with microstate analysis (microstate-segmented PLI = msPLI) and to determine its impact on the reliability of single links, regional links, and derived graph measures. msPLI was calculated in a cohort of 34 healthy controls three times over 2 years. A fully automated processing of electroencephalography was used. Resulting connectomes were compared using Pearson correlation, and test-retest reliability (TRT reliability) was assessed using the intraclass correlation coefficient. msPLI resulted in higher TRT reliability than classical PLI analysis for single or regional links, average clustering coefficient, average shortest path length, and degree diversity. Combination of microstates and phase-derived connectivity measures such as PLI improves reliability of single-link, regional-link, and graph analysis.
Language
  • English
Open access status
closed
Identifiers
Persistent URL
https://sonar.ch/global/documents/260976
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