Last modified by roschkoenig on 2023/05/30 17:32
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5 = Structurally informed dynamic causal modelling =
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7 Python-based implementation of DCM inversion for multimodal datafusion of intracranial EEG and diffusion-MRI based structural connectivity information
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15 = This collab contains =
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17 * [[[Drive]>>https://wiki.ebrains.eu/bin/download/Collabs/structurally-informed-dcm/WebHome/HBP_Technical_Note.pdf?rev=1.1]] Manuscript detailing the pipeline and analysis approach integrating structural connectivity data in the inversion of intracranial EEG recordings in patients with focal epilepsy
18 * [[[Bucket]>>https://data-proxy.ebrains.eu/structurally-informed-dcm?prefix=02_Code%2F]] Example Juypter notebook illustrating the analysis approach
19 * [[[Bucket]>>https://data-proxy.ebrains.eu/structurally-informed-dcm?prefix=]] Summary code and test data for inversion of structurally informed connectivity data
20 * [[[Github]>>https://github.com/jameswilsenach/SEEG_Channel_Selection]] Summary code for dimensionality reduction implemented in the analysis
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25 [[[[image:image-20230320215401-2.png]]>>attach:HBP_Technical_Note.pdf]]
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