In this lesson you will learn how to simulate seizure events and epilepsy in The Virtual Brain. We will look at the paper On the Nature of Seizure Dynamics, which describes a new local model called the Epileptor, and apply this same model in The Virtual Brain. This is part 1 of 2 in a series explaining how to use the Epileptor. In this part, we focus on setting up the parameters.

In this lecture we will focus on a paper called The Virtual Epileptic Patient: Individualized whole-brain models of epilepsy spread. We will have a closer look at the equations of the epileptor model and particular the epileptogenicity index, which controls the excitability of each brain region. Subsequently, we will begin to setup the epileptogenic zone in our own brain network model with TVB.

After introducing the local epileptor model in the previous two videos, we will now use it in a large-scale brain simulation. We again focus on the paper The Virtual Epileptic Patient: Individualized whole-brain models of epilepsy spread. Two simulations with different epileptogenicity across the network are visualized to show the difference in seizure spread across the cortex.

This lecture gives an overview on the article Individual brain structure and modelling predict seizure propagation, in which 15 subjects with epilepsy were modelled to predict individual epileptogenic zones. With the TVB GUI we will model seizure spread and the effect of lesioning the connectome. The impact of cutting edges in the network on seizure spreading will be visualized.

This lecture presents the Graphical (GUI) and Command Line (CLI) User Interface of TVB. Alongside with the speakers, explore and interact with all means necessary to generate, manipulate and visualize connectivity and network dynamics.

This tutorial demonstrates how to use the image processing pipeline with the HBP collab.

This tutorial provides instruction on how to use the TVB-NEST toolbox co-simulation in HBP collab.

In this tutorial, you will learn how to use TVB-NEST toolbox on your local computer.

This tutorial provides instruction on how to perform multi-scale simulation of Alzheimer's disease on The Virtual Brain Simulation Platform.

This presentation accompanies the paper entitled: An automated pipeline for constructing personalized virtual brains from multimodal neuroimaging data (see link below to download publication). 

This lesson consists of a supplementary video for the publication: Inferring multi-scale neural mechanisms with brain network modelling.

This lesson provides a demonstration of GeneWeaver, a system for the integration and analysis of heterogeneous functional genomics data.

This tutorial shows how to use the UCSC genome browser to find a list of genes in a given genomic region.

This tutorial shows how to find all the single nucleotide polymorphisms (SNPs) upstream from genes using the UCSC Genome Browser.

This tutorial demonstrates how to find all the single nucleotide polymorphisms (SNPs) in a gene using the UCSC Genome Browser.

The Saved Sessions feature of the Browser has been around for quite some time, but many of our users have not made full use of it. This feature offers a great way to keep track of your thinking on a particular topic.

The Track Collection Builder is a new tool in the UCSC Genome Browser that provides a way to create grouped collections of sub-tracks with native tracks, custom tracks, or hub tracks of continuous value graphing data types.

This tutorial demonstrates the visibility controls on the Genome Browser, showing the effect on BED tracks, wiggle tracks, and Conservation tracks. It also discusses supertracks and composite tracks.

This tutorial describes the isPCR tool and demonstrates how to use it for predicting the size and location of PCR products and visualizing the genomic location on the genome. The tool operates on DNA templates for all organisms, and on human and mouse DNA/RNA. It also demonstrates how to use the Browser to obtain DNA sequences from the genome.

This tutorial describes the dbSNP resources in the UCSC Genome Browser, including display conventions and the subdivision of the data into several useful subset tracks, especially the Common SNPs. There is also a discussion about changes to the genome assemblies from one version to another, and of two ways to navigate between different assemblies of the human genome in the Browser.