Journal Article FZJ-2022-03973

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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

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2022
Ubiquity Press London

Journal of Open Research Software 10, 8 () [10.5334/jors.394]

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Abstract: 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.

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Contributing Institute(s):
  1. Kognitive Neurowissenschaften (INM-3)
Research Program(s):
  1. 5251 - Multilevel Brain Organization and Variability (POF4-525) (POF4-525)

Appears in the scientific report 2022
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Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; DOAJ Seal ; Fees ; SCOPUS
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Open Access

 Datensatz erzeugt am 2022-10-28, letzte Änderung am 2023-01-23


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