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Connectivity Analysis

  • Huibin Jia
Chapter

Abstract

The EEG signals could be used to assess the communication between brain regions. Various techniques have been developed in order to quantify the EEG connectivity of scalp-level EEG signals or source-level activities. Briefly speaking, four kinds of EEG connectivity measures are evaluated in literatures, including coherence-based measures, phase synchronization-based measures, generalized synchronization-based measures, and granger causality-based measures. All measures have their own advantages and disadvantages. Here, we illustrated the common sources problem in EEG analysis, the measures in EEG connectivity analysis, how to conduct EEG connectivity analysis using resting-state EEG signals and event-related EEG signals, and source-level connectivity. Moreover, we provided two examples of EEG connectivity, along with the EEG datasets and MATLAB codes, which are focused on the EEG connectivity of resting-state signals and event-related signals, respectively.

Keywords

Functional connectivity Source localization Synchronization Granger causality 

Supplementary material

462234_1_En_12_MOESM1_ESM.zip (9 kb)
Code (ZIP 9 kb)

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Huibin Jia
    • 1
  1. 1.Key Laboratory of Child Development and Learning Science of Ministry of Education, School of Biological Sciences & Medical EngineeringSoutheast UniversityNanjingChina

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