Seminar: 6.02.141_3 Complex network analysis of fMRI data - Details

Seminar: 6.02.141_3 Complex network analysis of fMRI data - Details

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General information

Course name Seminar: 6.02.141_3 Complex network analysis of fMRI data
Subtitle
Course number 6.02.141_3
Semester WiSe24/25
Current number of participants 2
maximum number of participants 20
Home institute Department of Psychology
participating institutes Graduate School Science, Medicine and Technology (Oltech)
Courses type Seminar in category Teaching
First date Monday, 23.09.2024 09:15 - 17:45, Room: A07 0-031
Type/Form PhD Student Course, Minor for Neurocognitive Psychology
Pre-requisites Profound knowledge in programming (MATLAB, C, r-statistics, or comparable languages)
Lehrsprache englisch
ECTS points 3

Rooms and times

A07 0-031
Monday, 23.09.2024 09:15 - 17:45
Tuesday, 24.09.2024 09:15 - 14:45
Monday, 30.09.2024 09:15 - 17:45
Tuesday, 01.10.2024 09:15 - 14:45

Comment/Description

Students are asked to bring their own computer with MATLAB installed.

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.

Admission settings

The course is part of admission "6.02.141_3 WS24/25".
The following rules apply for the admission:
  • At least one of these conditions must be fulfilled for enrolment:
    • Subject is Neurosensory Science and Systems
    • Subject is Neurocognitive Psychology
  • A defined number of seats will be assigned to these courses.
    The seats will be assigned in order of enrolment.