htw saar Piktogramm QR-encoded URL
Back to Main Page Choose Module Version:
XML-Code

flag

Functional Imaging in Neuroscience

(course inactive since 01.10.2024)

Module name (EN):
Name of module in study programme. It should be precise and clear.
Functional Imaging in Neuroscience
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Neural Engineering, Master, SO 01.10.2025
Module code: NE2112.FIN
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
4V (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: according to optional course list
Mandatory course: no
Language of instruction:
English
Assessment:


[still undocumented]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

NE2112.FIN Neural Engineering, Master, ASPO 01.04.2020 , optional course, medical/technical, course inactive since 01.10.2024
NE2112.FIN Neural Engineering, Master, SO 01.10.2025 , optional course, medical/technical, course inactive since 01.10.2024
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 150 hours (equivalent to 5 ECTS credits).
There are therefore 105 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Michael Möller
Lecturer: Prof. Dr. Michael Möller

[updated 29.11.2024]
Learning outcomes:
Students can assess the various properties of (functional) imaging modalities in neurology:
- Imaged function: hemodynamics, metabolism or neural activity
- Spatial and temporal resolution
- Reliability, precision and sensitivity to artifacts
- Cost and complexity, safety, possibility for multimodal imaging
 

[updated 25.04.2021]
Module content:
LECTURE (Prof. Möller, htwsaar)
Overview
- functional imaging in general
- functional imaging in neurology
Metabolism imaging using radioactive markers
- positron-emission tomography (PET)
- single-photon-emission computerized tomography (SPECT)
Hemodynamic imaging
- functional magnetic resonance imaging (fMRI),
  - introduction to the relevant properties and methods of MRI itself
  - blood-oxygen-level-dependend contrast (BOLD)
  - contrast-enhanced perfusion imaging
  - diffusion weighted imaging (DWI), diffusion tensor imaging (DTI)
- near-infrared spectroscopic imaging (NIRS)
Imaging of neural activity
- Magnetoencephalograpy (MEG)
- fluorescence imaging using voltage-sensitive dyes (VSD)
Multimodal imaging
 
CLINICAL DEMONSTRATION (Dr. Krick, Saarland University Medical Center, Clinic for Diagnostic and Interventional Radiology)


[updated 27.04.2021]
Recommended or required reading:


[still undocumented]
 
[Sun Dec 22 06:25:13 CET 2024, CKEY=nfiin, BKEY=nem2, CID=NE2112.FIN, LANGUAGE=en, DATE=22.12.2024]