| Date and time: | Monday, 20th through Friday, January 31st 2020 |
| 11:00 to 18:00, times may vary depending on availability of rooms and equipment | |
| Schedule: | Block course, 10 days |
Everyone is invited to attend the talks.
Limited number of seats available for the practicals, please register by email to neuroimaging@med.uni-muenchen.de.
An introduction to the theory and practice of functional and structural neuroimaging, with a combination of lectures, hands on experience with MRI, and data analysis methods including: functional magnetic resonance imaging (fMRI), morphometry and structural imaging including diffusion tensor imaging, simultaneous electroencephalography (EEG), and data analysis with e.g. SPM12. This is a unique opportunity to get to know the newest techniques in the field of neuroimaging, and learn about the type of research that is being done in this area in a number of different faculties around Munich.
A summary of the course, together with the course objectives and the time plan can be found here (PDF)
| An upload link for the final projects has been added to the restricted access section. |
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Read more about attendance, ECTS credits and missed hour/afternoons/weeks in our list of frequently asked questions.
Arbeitsgruppe fuer funktionelle, strukturelle und molekulare Bildgebung
Neurologie und DSGZ-LMU
Klinikum der Universität München – Großhadern
Fraunhoferstr. 20
82152 Planegg/Martinsried
neuroimaging@med.uni-muenchen.de
Human Brain Function, 2nd Edition – PDF drafts of book chapters
COBIDAS Report (The part on preprocessing starts around pg. 53)
Some Publications on MR Basics. Find the book magnets, spins, and resonances and other publications by Siemens for download on this webpage.
ReviseMRI.com – Study material on MRI
The basics of MRI – introduction to MRI by Joseph P. Hornak
FSL – a software package for functional neuroimaging
SPM – a software package for functional neuroimaging
MRIcro/MRIcron – a software tool for image viewing and conversion
Matlab – Commercial, programming language and environment for data analysis and computation