Description
Alexandre Savio - Nipy on functional brain MRI [EuroPython 2016] [22 July 2016] [Bilbao, Euskadi, Spain] (https://ep2016.europython.eu//conference/talks/nipy-on-functional-brain-mri)
This is an introductory talk to modern brain image analysis tools. I will show how to use nipy tools to process one resting-state fMRI subject, perform intra-subject registration, ICA analysis to extract and visualize resting-state networks. If the time allows me I will introduce an anatomical brain atlas and how to perform non-linear registration to do atlas-based segmentation.
This is an introductory talk to modern brain image analysis tools. I will show how to use nipy tools to process one resting-state fMRI subject, perform intra-subject registration, ICA analysis to extract and visualize resting-state networks. If the time allows me I will introduce how to perform non-linear registration to to atlas-based segmentation.
The outline of the talk:
- Present the COBRE dataset and show its characteristics.
- Use nibabel to open a NifTI file and see the matrix/volume parameters.
- Use nilearn.plotting to show the anatomical image.
- Use nipy to co-register the anatomical image to the fMRI image.
- Use nilearn to perform CanICA and plot ICA spatial segmentations.
If time allows:
- Present a brain anatomical atlas and its template.
- Present the tools needed for non-linear registration.
- Show the result of an atlas-based segmentation result.
- Use nilearn to calculate the resting-state functional connectivity matrix of the subject.
- Plot it with Bokeh.