Dear Davide,
I must admit that I was not aware that multimodal analysis with FLICA is
possible across different dimensions, which is very helpful, by the way.
Since I am not familiar with the FSL tools, you will probably get better
answers on the FSL mailing list on how to handle the surface data.
Best,
Christian
On 12 Feb 2020, at 16:26, Davide Fedeli wrote:
> Dear Christian, thank you for your fast reply.
>
> From the paper by Maglanoc et al., (2020) it seems possible to combine
> multimodal data in FLICA (https://doi.org/10.1002/hbm.24802) (e.g they
> used grey matter volume, cortical thickness, surface area, mean
> diffusivity, radial diffusivity, fractional anisotropy and
> resting-state data).
> In their paper GMV is extracted with CAT, while the surface data are
> obtained from freesurfer's processing pipeline (and it seems to me
> that surface maps are then registered to fsaverage template)
> We have used CAT12 (we love CAT12!) for our cortical processing. Our
> problem is that we cannot find how to convert CAT12 .gii surface data
> (e.g. cortical thickness and gyrification) into .mgh surfaces in
> FreeSurfer. In fact, when we use the mris_convert function, the output
> is not correctly read by FLICA.
>
> Do you have any thoughts on how to solve this problem? Does this
> "joint" metodology seems to be reliable?
>
> Many thanks and best whishes
> Davide
>
> ========
> Maglanoc, L. A., Kaufmann, T., Jonassen, R., Hilland, E., Beck, D.,
> Landrø, N. I., & Westlye, L. T. (2020). Multimodal fusion of
> structural and functional brain imaging in depression using linked
> independent component analysis. Human Brain Mapping, 41(1), 241-255.
> https://doi.org/10.1002/hbm.24802
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