Mapping brain functions by fMRI with stimulus driven BOLD and MEMRI techniques
In this webinar, Prof. Andreas Hess from the Friedrich-Alexander-University of Erlangen-Nürnberg, will provide an excellent overview of current brain fMRI techniques. He will compare classical stimulus driven BOLD detection with manganese enhanced MRI (MEMRI) exemplified on applications for mice and rats. The pros and cons of the fMRI techniques and different analysis strategies (i.e. different multisubject analyses) will be discussed. Hess will also elaborate on graph theoretical analyses tailored to network dynamics. As prerequisite he will introduce several rodent brain atlases currently available. Finally, future trends, like novel algorithms predicting functional maps from underlying behavioural traits, will be demonstrated.
What to expect
In this webinar, Prof. Hess will discuss several facets of fMRI. Covering whole analysis pipeline from stimulation to evaluation, he will compare detection methods for BOLD and MEMRI, address graph theory, review available brain atlas, and give insight into novel algorithms for predicting functional maps with underlying behavioural traits.
- Brain networks
- Stimulus BOLD fMRI
- Brain atlases
- BOLD vs manganese enhanced MRI (MEMRI)
- Model criteria
- Applications within ParaVision
- Atlas mapping
- Graph Theory
- Network analyses
Future of fMRI
- Algorithm for map prediction
Who should attend?
This webinar is of interest for all researchers wishing to solidify their knowledge about fMRI as well as those interested in alternatives to the common BOLD approach, advances in analysis, and future developments.