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@ARTICLE{Yeldesbay:1049994,
author = {Yeldesbay, Azamat and Daun, Silvia},
title = {{E}xtended {D}ynamical {C}ausal {M}odelling for {P}hase
{C}oupling (e{DCM} {PC})},
journal = {Journal of Open Research Software},
volume = {13},
issn = {2049-9647},
address = {London},
publisher = {Ubiquity Press},
reportid = {FZJ-2025-05708},
pages = {33},
year = {2025},
note = {This work was supported by the DFG Project ID 431549029
SFB1451},
abstract = {We present a software tool: extended Dynamic Causal
Modelling for Phase Coupling(eDCM PC). This framework is
implemented in MATLAB as an extension of the DynamicCausal
Models for phase coupling method. eDCM PC is able to
estimate effectiveconnectivity between oscillating systems
using the phase information obtained fromexperimental
signals, such as oscillatory activities of neuronal
populations in distantbrain regions. With the help of a
transformation function, eDCM PC can measureobservable
independent coupling functions within and between different
frequencybands. This software is available on GitLab under
the GNU General Public License(version 3 or later)},
cin = {INM-3},
ddc = {004},
cid = {I:(DE-Juel1)INM-3-20090406},
pnm = {5252 - Brain Dysfunction and Plasticity (POF4-525) / DFG
project G:(GEPRIS)431549029 - SFB 1451:
Schlüsselmechanismen normaler und krankheitsbedingt
gestörter motorischer Kontrolle (431549029)},
pid = {G:(DE-HGF)POF4-5252 / G:(GEPRIS)431549029},
typ = {PUB:(DE-HGF)16},
doi = {10.5334/jors.412},
url = {https://juser.fz-juelich.de/record/1049994},
}