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31	31	(% class="wikigeneratedid" %)
32	32	The Showcase 1 aimed at investigations related to variability in neuroscience from two perspectives: (a) the interpersonal variability studied by the virtual ageing study, and (b) the variability across different cortical regions within an individual brain.
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35		-== (a) Interpersonal variability—virtual ageing ==
	34	+== a. Interpersonal variability—virtual ageing ==
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37	37	(% class="wikigeneratedid" %)
38	38	See the details of the first study in the following publication:
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79	79	* [[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]]
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82		-== (b) Regional variability ==
	80	+== b. Regional variability ==
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84		-Aims at demonstrating the construction of whole-brain network models of the brain's activity accounting for differences in receptor densities across cortical regions.
	82	+Aims at demonstrating the construction of whole-brain network models of the brain's activity, accounting for differences in receptor densities across cortical regions.
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86	86	=== Loading the data from EBRAINS ===
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90	90	1. Structural connectivity matrices,
91	91	1. GABAa and AMPA receptor densities for each brain region, and
92		-1. empirical resting-state fMRI data for fitting and validation of the simulations. The three datasets shall be characterised in the same parcellation.
	90	+1. empirical resting-state fMRI data for fitting and validation of the simulations.
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94		-Link to the notebook:
	92	+The three datasets shall be characterised in the same parcellation. Link to the notebook:
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96	96	* [[regional_variability/notebooks/1_load_data.ipynb>>https://lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/SGA3%20D1.2%20Showcase%201/regional_variability/notebooks/1_load_data.ipynb]]
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99	99	[[image:download - 2022-02-10T130815.902.png||alt="region-wise gene expression heterogeneity"]]
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101		-== Fitting model parameters for models with regional bias ==
	99	+=== Fitting model parameters for models with regional bias ===
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103		-A series of simulations of the whole-brain network model are launched in the EBRAINS HPC facilities in order to identify the optimal model parameters leading to simulated resting-state brain activity that best resembles the empirically observed activity. In this branch of the showcase, brain regions are simulated using the Balanced Excitation-Inhibition model which allows to tune the E-I balance for every region individually, according to the empirically observed GABA and AMPA neuroreceptor densities.
	101	+A series of simulations of the whole-brain network model are launched in the EBRAINS HPC facilities in order to identify the optimal model parameters leading to simulated resting-state brain activity that best resembles the empirically observed activity. In this branch of the showcase, brain regions are simulated using the mean-field AdEx population model; specifically modified to account for the regional densities of GABAa and AMPA neuroreceptors. See the details following document.
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105	105	Link to the notebook:
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