Processing and statistical analysis of Brain-PET and (f)MRI data
October 4.-5. 2017 @Turku PET Centre
Turku PET Centre neuroscientists are happy to annoucnce the first-ever PET-MRI neuroimaging course. This course will give a hands-on overview on the basic brain imaging analysis techniques applicable to PET as well as structural and functional MRI data. The course is aimed for PhD students, post-docs, and scientists working on medical, cognitive, and computational neuroimaging. Participants are assumed to have rudimentary knowledge of neuroimaging and working with PET and MRI data, but this is not strictly necessary. After the course, the participants should be able to process and analyze the data that has been retrieved from MRI scanner / PET camera independently. Analytic pipeline will focus on the PET Centre data analysis framework but can be adopted to any MRI / PET analysis platform.
The course is free but registration is mandatory. Registration is on first-come-first-served basis with priority to Turku PET Centre scientists and students. We can accommodate a maximum of 40 participants.
Please register by sending an email with subject “Turku PET Centre Brain Imaging Course” to email@example.com. In the message body, provide your name, degree information, and the university, research group & topic you are working on. Registration is open until September 8h. In the unfortunate case of overbooking we will inform everyone regarding their admission by September 13th. For further information please contact Lauri Nummenmaa (firstname.lastname@example.org).
Wednesday October 4th: Brain imaging theory and preprocessing
09:00-10:00: Basics principles of human neuroimaging (Lauri Nummenmaa)
10:00-11:00: Quantifying brain structure and function with MRI (Virva Saunavaara)
11:00-12:00: Pharmacokinetic modelling of PET data (Jussi Hirvonen)
12:00-13:00: Lunch break
13:00-14:00: Preprocessing PET data with the PET Center pipeline (Tomi Karjalainen)
14:00-14:45: Preprocessing structural MRI: data with VBM and Freesurfer (Marco Bucci)
14:45-15:15: Coffee break
15:15-16:00: fMRI preprocessing (Enrico Glerean)
16:00-17:00: Preprocessing Diffusion Tensor Imaging data (Virva Saunavaara)
Thursday October 5th: Statistical analysis of brain imaging data
09:00-10:00: Statistical analysis of volume and surface-based data (Lauri Nummenmaa)
10:00-12:00: General Linear Model for random-effects fMRI (Linda Henriksson)
12:00-13:00: Lunch break
13:00-14:00: Connectivity analysis (Enrico Glerean)
14:00-15:00: Visualizing volume and surface based data (Tomi Karjalainen & Jouni Tuisku)
15:00-16:00: Wrap-up & General Q/A with coffee