Extended Dynamical Causal Modelling for Phase Coupling (eDCM PC)
Azamat Yeldesbay (1,2), Silvia Daun (2,1) ((1) Institute of Zoology,, University of Cologne, Cologne, Germany, (2) Research Centre J\"ulich,, Institute of Neuroscience, Medicine, Cognitive Neuroscience (INM-3),, J\"ulich, Germany)
TL;DR
eDCM PC is a MATLAB-based software tool that estimates effective connectivity between oscillating systems using phase information, capable of analyzing coupling within and between frequency bands.
Contribution
It extends existing DCM methods to include phase coupling analysis for diverse oscillatory systems, enhancing connectivity estimation capabilities.
Findings
Successfully estimates effective connectivity in oscillating systems.
Measures observable independent coupling functions across frequency bands.
Open-source implementation available on GitLab.
Abstract
We present a software tool -- extended Dynamic Causal Modelling for Phase Coupling (eDCM PC) -- that is able to estimate effective connectivity between any kind of oscillating systems, e.g. distant brain regions, using the phase information obtained from experimental signals. With the help of a transformation function eDCM PC can measure observable independent coupling functions within and between different frequency bands. eDCM PC is written in the numerical computing language MATLAB as an extension to Dynamic Causal Modelling (DCM) for phase coupling (Penny et al. 2009). eDCM PC is available on GitLab under the GNU General Public License (Version 3 or later).
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Taxonomy
TopicsFunctional Brain Connectivity Studies · Neural dynamics and brain function · Spectroscopy and Quantum Chemical Studies