Hi list, We're working on FMRIPREP <https://fmriprep.readthedocs.io/en/stable/>, a pipeline aimed at performing baseline preprocessing, and producing cleaned structural and functional data which can be fed into any of a number of analysis pipelines.
We've recently begun incorporating surface reconstruction and surface-mapped functionals, and we'd like to get feedback on what outputs would be most valuable to people, in terms of formats, spaces and sampling strategies. 1) What surfaces do you use for sampling functional data and visualization? If you use down-sampled surfaces, do you have a preferred down-sampling strategy or target mesh? 2) What statistical analyses and model-fitting tools do you use for surface-based analyses? And are there any particular considerations you have for preparing your data for use by these tools? I appreciate your time and any input you may have to help us build a tool that fits the needs of the community. Thanks, -- Chris Markiewicz Center for Reproducible Neuroscience Stanford University _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
