FMRI school 2011
fMRI school 2011
Time: April 4-5 (Mon-Tue), 2011
Place: Aalto Otaniemi campus (Map of Otaniemi), Main Building, Otakaari 1, Lecture hall E
Organizers
Brain Research Unit, Low Temperature Laboratory, Aalto University School of Science
Advanced Magnetic Imaging Centre, Aalto University School of Science
Finnish Graduate School of Neuroscience
Contact persons
Linda Henriksson, henriksson [at] neuro.hut.fi
Simo Vanni, vanni [at] neuro.hut.fi
Register to
Marita Kattelus, marita.kattelus [at] tkk.fi, please register by March 28, 2011 (Monday).
Aim
This course is directed to undergraduate and graduate students, postdocs, and more advanced research personnel who are interested in applying functional magnetic resonance imaging in their research. This year we have also two lectures about diffusion tensor imaging, a rapidly growing field of anatomical MRI imaging. This is an introductory course, and thus no own experience in brain imaging is required.
Program
Monday, 4th April
10.00 Simo Vanni: What is BOLD signal?
10.45 Simo Vanni: Study design
11.30 Lunch
12.30 Toni Auranen: MRI @AMI
13.15 Linda Henriksson: Image data formats and preprocessing
- Preprocessing script for SPM8: conv_sli_rea_data_example.m
- DICOM to NIFTI image format conversion for SPM8: spm_vision_dicom_convert.m, spm_vision_dicom.m
14.00 Coffee break
14.15 Lauri Nurminen: General linear model applied to fMRI analysis I
15.00 Simo Vanni: General linear model applied to fMRI analysis II
15.45 Lauri Nummenmaa. Statistical inference
Tuesday, 5th April
10.00 Linda Henriksson: Visualization and quantification of fMRI results
10.45 Irtiza Gilani: NMR, RF excitation, and contrast mechanisms in MRI
11.30 Lunch
12.30 Ville Renvall: Physics of functional MRI
13.15 Sanna Malinen: ICA applied to fMRI analysis
14.00 Coffee break
14.15 Miika Koskinen, with intro by Simo Vanni: Principles of multivariate methods in fMRI signal analysis
15.00 Jaana Hiltunen: Basics for diffusion tensor imaging
15.45 Jaana Hiltunen: DTI analysis