Dear Felix, Could you try and explain why you think you need this conversion? The transformation to MNI space is a non-linear one, which invalidates any subsequent analyses on the MEG data. If you think you need it for visualization purposes, the transformation should also not be needed, since the individual vertices are surface realigned across subjects, which mean that you can directly average/combine across subjects. If you still think you want to do the conversion, you probably would need to surface-resample (using wb_command -surface-resample) the high-resolution surfaces (from the MNInonlinear ones in the structural preprocessing package) to the 4k/8k resolution representation. For this you’d need the spherical meshes that are in the megconnectome/template directory.
Best wishes, Jan-Mathijs > On 18 Jun 2018, at 07:26, Felix Yuan > <[email protected]> wrote: > > Hi, HCP experts, > Sorry to bother you! > I know the anatomy data and MEG sensors are in the bti space of the MEG > preprocessed data. > But now I want to convert the anatomy T1w data space and MEG sensor space > toMNI space, how can I do this? > > I also want to get the surface (vertices and faces) of MEG data on MNI space, > could you help me with this? > > Best wishes, > Felix > _______________________________________________ > HCP-Users mailing list > [email protected] <mailto:[email protected]> > http://lists.humanconnectome.org/mailman/listinfo/hcp-users > <http://lists.humanconnectome.org/mailman/listinfo/hcp-users> _______________________________________________ HCP-Users mailing list [email protected] http://lists.humanconnectome.org/mailman/listinfo/hcp-users
