Yes, that would be an ROI analysis

On 1/13/2024 1:00 PM, Mirsol Choi wrote:

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Hello,

My goal is to compare the FA and MD values of hippocampal subfields (only inside the hippocampus) between cognitively normal, MCI, and AD subjects. I am unsure if this would require a voxel wise analysis or an ROI analysis… to my understanding this is more of a ROI analysis between subjects - is this assumption incorrect?

Thank you,
Peter

On Sat, Jan 13, 2024 at 10:44 AM Douglas N. Greve <dgr...@mgh.harvard.edu> wrote:

    So this is where I get confused on your intentions because you say
    that you want to do a voxel-wise analysis of an ROI. Do you mean
    you want to do a voxelwise analysis but only inside, eg, whole
    hippocampus?

    On 1/12/2024 6:07 PM, Mirsol Choi wrote:

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    Hello,

    Sorry I should have clarified. Yes, I would like to perform
    voxelwise analysis of FA and MD values of hippocampal subfield
    between subjects. Is this possible with free surfer?

    Thank you again for your time.

    M

    On Fri, Jan 12, 2024 at 4:05 PM Douglas N. Greve
    <dgr...@mgh.harvard.edu> wrote:

        oh, I thought you wanted to do an ROI analysis. You mean for
        a voxelwise analysis?

        On 1/12/2024 5:46 PM, Mirsol Choi wrote:

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        Hi there,


        Following the first registration step, should I also run
        another registration command to put all fa-in-subfields.mgz
        for each subject onto the same space for inter subject
        analysis of FA values?

        Thanks again,
        M

        On Fri, Jan 12, 2024 at 3:00 PM Douglas N. Greve
        <dgr...@mgh.harvard.edu> wrote:

            Map the diffusion data to the subfield space, eg,
            mri_vol2vol --mov fa.nii.gz --reg register.lta --targ
            subfields.mgz --o fa-in-subfields.mgz
            Then run mri_segstats
            mri_segstats  --ctab-default --i fa-in-subfields.mgz
            --seg subfields.mgz --sum fa-in-subfields.dat



            On 1/12/2024 4:53 PM, Mirsol Choi wrote:

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            Hi there,

            Is there a way to successfully obtain FA/MD values from
            the hippocampus subfields?

            Thank you,
            M

            On Fri, Jan 12, 2024 at 2:23 PM Douglas N. Greve
            <dgr...@mgh.harvard.edu> wrote:

                I'm not sure what you mean. The subfields are an
                ROI-based analysis. Are you saying you want to do a
                voxel-based analysis (without reference to ROIs)?

                On 1/9/2024 12:05 PM, Mirsol Choi wrote:

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                Hi there Freesurfer,

                I am currently using freesurfer to take DTI
                metrics (FA, MD) from hippocampal subfields.
                At this point of my exploration with freesurfer, I
                am able to correctly register the hippocampal
                subfields and diffusion data, and obtain my FA
                values from the subfields. However, this is at the
                individual subject level.

                I will eventually need to register all of my
                samples in the same space for me to do a group
                analysis. However I am unsure what the order of
                registration should be for this process to be
                feasible.

                Does this order seem feasible for accurate analysis?

                1) recon-all all of my subjects
                2) dt_recon all of my subjects (one of the outputs
                is a registration file, which has registered the
                DTI data to outputs of recon-all)
                3) run the hippocampus segmentation command on all
                subjects (segmentHA_T1.sh) to obtain hippocampal
                subfield segmentation
                4) register the segmentation file to the FA maps
                (output of dt_recon) using vol2subfield command
                5) After creating a subfield-FA map for each
                subject, spatial normalize the samples onto the
                same space using *mri_vol2vol*
                *
                *
                Thank you so much for taking the time reading my
                question. If there is a different method to
                spatially normalizing my datasets, or if there is
                a more optimal order of registration, I'd be happy
                to hear from you.

                Thank you,
                M

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