Changes for page SGA3 D1.2 Showcase 1

Last modified by fousekjan on 2022/07/04 18:31
From version 12.1
edited by fousekjan
on 2022/01/03 09:10
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To version 13.1
edited by fousekjan
on 2022/01/03 09:43
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30 30  1. Dynamics of the model, and execution of a parameter study
31 31  1. Summary of the simulation results for the whole cohort
32 32  
33 +Link to the notebook:
34 +
35 +* [[virtual_ageing/notebooks/1_BNM_for_resting_state.ipynb>>https://lab.ch.ebrains.eu/user-redirect/lab/tree/shared/SGA3%20D1.2%20Showcase%201/virtual_ageing/notebooks/1_BNM_for_resting_state.ipynb]]
36 +
33 33  [[image:image-20220103100841-2.png]]
34 34  
39 +== Virtual ageing trajectories ==
35 35  
41 +The second steps shows the investigation of virtual ageing trajectory for each subject. In this context, we are going to show
42 +
43 +1. What we mean by virtual ageing and what is the empirical basis to investigate this approach
44 +1. How we can virtually age a subject using whole-brain modelling
45 +1. How the increase structure-function relationship relates to virtual ageing
46 +
47 +Link to the notebook:
48 +
49 +* [[virtual_ageing/notebooks/2_virtual_ageing_trajectories.ipynb>>https://lab.ch.ebrains.eu/user-redirect/lab/tree/shared/SGA3%20D1.2%20Showcase%201/virtual_ageing/notebooks/2_virtual_ageing_trajectories.ipynb]]
50 +
51 +[[image:image-20220103101022-3.png]]
52 +
53 +(% class="wikigeneratedid" %)
54 +== Inference with SBI ==
55 +
56 +Last step of the inter-individual variability workflow
57 +
58 +
59 +Link to the notebook:
60 +
61 +* [[virtual_ageing/notebooks/3_inference_with_SBI.ipynb>>https://lab.ch.ebrains.eu/user-redirect/lab/tree/shared/SGA3%20D1.2%20Showcase%201/virtual_ageing/notebooks/3_inference_with_SBI.ipynb]]
62 +
36 36  == Regional variability data ==
37 37  
38 38  The first step of the regional variability workflow loads the data from the Knowledge Graph and defines the regional bias on the model. In this case we require: 1) structural connectivity matrices, 2) GABA and AMPA receptor densities at each region, and 3) empirical resting-state fMRI data for fitting and validation of the simulations. The three datasets shall be characterised in the same parcellation.
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