Journal Article

FZJ-2025-05708

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Extended Dynamical Causal Modelling for Phase Coupling (eDCM PC)

Yeldesbay, A.FZJ* ; Daun, S.FZJ*

2025
Ubiquity Press London

This record in other databases:  

Please use a persistent id in citations: doi:10.5334/jors.412  doi:10.34734/FZJ-2025-05708

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)

Note: This work was supported by the DFG Project ID 431549029 SFB1451

---

Contributing Institute(s):

1. Kognitive Neurowissenschaften (INM-3)

Research Program(s):

1. 5252 - Brain Dysfunction and Plasticity (POF4-525) (POF4-525)
2. DFG project G:(GEPRIS)431549029 - SFB 1451: Schlüsselmechanismen normaler und krankheitsbedingt gestörter motorischer Kontrolle (431549029) (431549029)

Appears in the scientific report 2025

---

Database coverage:
; ; ; ; Article Processing Charges ; DOAJ Seal ; Fees ; SCOPUS

---