Motif-synchronization: a new method for analysis of dynamic brain networks with EEG

DOI10.1016/j.physa.2015.07.018zbMath1400.92309OpenAlexW2178007511WikidataQ60693305 ScholiaQ60693305MaRDI QIDQ1618809

R. Smith

Publication date: 13 November 2018

Published in: Physica A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.physa.2015.07.018

zbMATH Keywords

EEGtime-varying graphsbrain functional networkchronic paincoupled Rössler oscillatormotif-synchronization

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55)

Related Items (3)

FPGA implementation of motifs-based neuronal network and synchronization analysis ⋮ Ordinal synchronization: using ordinal patterns to capture interdependencies between time series ⋮ Determining the coupling source on a set of oscillators from experimental data

Cites Work

• A signal-processing-based approach to time-varying graph analysis for dynamic brain network identification
• An equation for continuous chaos
• Components in time-varying graphs

This page was built for publication: Motif-synchronization: a new method for analysis of dynamic brain networks with EEG