Fall School 2023: The Virtual Brain in Clinical Research
Online Event
Early this fall, we are offering a virtual course series: The Virtual Brain in Clinical Research: An Introduction.
This course introduces the open-source neuroinformatics platform The Virtual Brain and supporting tools such as the Charité/BIH Virtual Research Environment, workflows and build interfaces to related tools via APIs, to address medical problems.
Dates: From Sept 5th, 2023 to November 21st, 2023
Every Tuesday from 4.30pm to 6.30pm (CEST)
Registration: The course is FREE but online registration is required here.
Registration remains open throughout the duration of the course.
Access online course: A join link is sent to the participants before each session to join the virtual online meeting space.
BCCN Website: Elective course description for BCCN students here.
Charité Website: PhD course description for Charité students here.
Language: English
Training type: Webinar
Credits: 2 ECTS for Master students at the Bernstein Center Computational Neuroscience Berlin (BCCN) and 3 ECTS for PhD students at the Charité (Promotionsumgebung).
Location: Online
Responsible Person: Prof. Dr. Petra Ritter
Affiliation: Charité
Office: Robert-Koch Platz 4, Charité Campus Mitte
Content
This module provides basic knowledge on personalized brain network modeling for state-of-the-art clinical research. Required interdisciplinary methods will be introduced. A focus will be set on the open-source simulation platform The Virtual Brain.
Theoretical background of large-scale brain network modeling
Personalization pipelines: Processing of brain images for individualization of brain network modeling
Concepts of nonlinear dynamics
Running workflows on high-performance computers
Parameter optimization and model inference
Introduction to the medical condition targeted through brain simulation: dementias, psychosis
Visualizations of multimodal brain dynamics, ontologies, machine learning, graph theory
Making use of digital Research Infrastructures used for data integration and simulation in compliance with the EU general Data Protection Regulations (GDPR)
Description of Teaching and Learning Methods
The lecture part consists of weekly virtual teaching using the free tool GoToMeeting. In addition to the presentation of theoretical concepts, it comprises several demonstrations of how to operate workflows, simulation engines, high performance computers and collaborative platforms. Participants are expected to rehearse content after class, using their class notes, digital jupyter notebooks, video tutorials and recommended literature.
Requirements for Participation
Good english language skills
Basic programming expertise
Complete description of the virtual course can be found in the information sheet, which shall be posted here shortly!