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23.05.2022 22:14:27
Practical training: 6.02.141_3 Neurophysiological Imaging and Data Analysis - Details
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General information

Course name Practical training: 6.02.141_3 Neurophysiological Imaging and Data Analysis
Subtitle Complex network analyses of fMRI data
Course number 6.02.141_3
Semester Wintersemester 2021/2022
Current number of participants 3
maximum number of participants 12
Home institute Department of Psychology
participating institutes Graduate School Science, Medicine and Technology (Oltech)
Courses type Practical training in category Teaching
Preliminary discussion Mon., 14.02.2022 09:15 - 17:45, Room: A07 0-025
First date Mon., 14.02.2022 09:15 - 17:45, Room: A07 0-025
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

Course location / Course dates

A07 0-025 Monday. 14.02.22, Wednesday. 16.02.22 - Thursday. 17.02.22 09:15 - 17:45

Comment/Description

presence

The course takes place as classroom teaching. If this is not possible, as online lessons. 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 "Beschränkte Teilnehmendenanzahl: Neurophysiological Imaging and Data Analysis".
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  • At least one of these conditions must be fulfilled for enrolment:
    • Degree is Strukturierte Promotion
    • Subject is Neurocognitive Psychology
    • Subject is Neurosensory Science and Systems
  • A defined number of seats will be assigned to these courses.
    The seats will be assigned in order of enrolment.