DST (Dynamic Synchronization Toolbox): A MATLAB Implementation of the Dynamic Phase-Locking Pipeline from Stimulus Transformation into Motor Action: Dynamic Graph Analysis Reveals a Posterior-to-Anterior Shift in Brain Network Communication of Older Subjects

The Dynamic Synchronization Toolbox allows the calculation of dynamic graphs based on phase synchronization in experimental data. This enables an analysis of the time-development of network connectivity between multiple recording sites (e.g. in electroencephalography (EEG) or magnetoencephalography...

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Bibliographic Details
Published inJournal of open research software Vol. 10; no. 1
Main Authors Rosjat, Nils, Daun, Silvia
Format Journal Article
LanguageEnglish
Published Ubiquity Press Ltd 01.08.2022
Ubiquity Press
Subjects
brain networks
connectivity
dynamic graph
Electroencephalography
m/eeg
matlab
phase synchronization
Pipe lines
Social networks
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Summary:The Dynamic Synchronization Toolbox allows the calculation of dynamic graphs based on phase synchronization in experimental data. This enables an analysis of the time-development of network connectivity between multiple recording sites (e.g. in electroencephalography (EEG) or magnetoencephalography (MEG) data) with a high temporal resolution. Optionally, the toolbox offers the possibility to compute several graph metrics (such as cluster dynamics, node degree, HUB nodes) via the Brain Connectivity toolbox. Keywords: M/EEG, Dynamic graph, phase synchronization, brain networks, MATLAB, Connectivity
ISSN:2049-9647
2049-9647
DOI:10.5334/jors.394