Programme Managers

Dr. Susanne Elpers
Officer for Early Career Researchers with a focus on Postdocs and Equal Opportunities

+49 (0)441-798 2939

Dr. Julia Anna Matz
Officer for Early Career Researchers with a focus on Doctoral Candidates and International Issues

+49 (0)441-798 4286


Susanne Bartel

Tel.: +49 (0)441-798 4628



Neurophysiological Imaging and Data Analysis - Complex network analyses of fMRI data


Online Workshop with Dr. Carsten Gießing

During last years there has been a growing interest in analysing the human brain as a complex system of interconnected processing nodes. Such analyses have provided important new insights into the correlation between the organization, dynamics and functions of brain networks and human behaviour. During the course an introduction will be given how to analyse an fMRI data as complex network using graph theory. The course will focus on the analysis of ‘fMRI’ data which need specific analysis approaches to deal with the requirements inherent to the quality of the measured data.

Literature: Bullmore, E., Sporns, O., 2009. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat Rev Neurosci 10, 186-198.

Profound knowledge in programming (MATLAB, C, r-statistics, or comparable languages) is required.

A headset and a computer with the softare MATLAB is also required. Participants have to register via Stud.IP. Please register at least one week before the beginning of the course in order to receive further instructions by email.

Registration: Stud.IP

Registration deadline: 28.09.2020

Participants: max. 12

Credit Points: 3 KP

Modules: olt203, olt705


Mon, 05.10.2020 09:00 - 14:00
Tue, 06.10.2020 09:00 - 14:00
Wed, 07.10.2020 09:00 - 14:00

Start Time

05. October 2020, 09:00 – End date: 07. October 2020, 14:00

Wekzbmaster (graduieryncbtenakahaxdembkie@umxgcuol.dextf) (Changed: 2020-07-03)