Event
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Event
Semester:
Winter term
2024
6.02.141_3 Complex network analysis of fMRI data -
Event date(s) | room
- Montag, 23.9.2024 9:15 - 17:45 | A07 0-031
- Dienstag, 24.9.2024 9:15 - 14:45 | A07 0-031
- Montag, 30.9.2024 9:15 - 17:45 | A07 0-031
- Dienstag, 1.10.2024 9:15 - 14:45 | A07 0-031
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.
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.
lecturer
Study fields
- Interdisziplinäre Veranstaltungen / Interdisciplinary courses
- Neurocognitive Psychology
- olt703 - Clinical Epidemiology and Biometry
- olt705 - Research methods and techniques
SWS
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Lehrsprache
englisch