Poster (After Call)

FZJ-2023-04125

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Dynamic causal modeling computational pipeline for resting-state fMRI data: the structure and main modules for DCM and PEB analysis

Silchenko, A. (Corresponding author)FZJ* ; Bettazzi, E.FZJ* ; Eickhoff, S.FZJ* ; Tahmasian, M.FZJ* ; Hoffstaedter, F.FZJ*

2023

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Please use a persistent id in citations: doi:10.34734/FZJ-2023-04125

Note: Acknowledgments: This work was supported by the Deutsche Forschungsgemeinschaft (DFG, EI 816/11-1), the National Institute of Mental Health (R01-MH074457), the Helmholtz Portfolio Theme Supercomputing and Modeling for the Human Brain, and the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreements 720270 (HBP SGA1), 785907 (HBP SGA2), and 826421 (VirtualBrainCloud).

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Contributing Institute(s):

1. Gehirn & Verhalten (INM-7)

Research Program(s):

1. 5254 - Neuroscientific Data Analytics and AI (POF4-525) (POF4-525)
2. HBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270) (720270)
3. HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) (785907)
4. VirtualBrainCloud - Personalized Recommendations for Neurodegenerative Disease (826421) (826421)

Appears in the scientific report 2023

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Database coverage:

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