Re: [Freesurfer] feeding data not processed with longitudinal pipeline into Linear Mixed Effects (LME) model

[Martin Reuter]

Hi Lara,

yes that is possible (and it also makes sense in early childhood as the 
longitudinal stream assumes no (or only minimal) head growing).

Best, Martin


Am 14.11.2017 um 19:03 schrieb Lara Foland-Ross:
> Hello Freesurfer experts,
>
> I have two longitudinal datasets. In each dataset, some participants have 
> only a single timepoint. For this reason, I aim to run the Linear Mixed 
> Effects (LME) Model described at 
> https://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels.
>
> I understand that it is recommended that before running LME, I process my 
> data using the longitudinal stream (e.g., 
> https://surfer.nmr.mgh.harvard.edu/fswiki/LongitudinalProcessing). However:
>
> 1. in one dataset, some participants were scanned several years apart in 
> early childhood, which caused the intra-subject registration to fail in the 
> longitudinal processing stream
>
> and
>
> 2. in the second dataset, editing of longitudinal timepoints was time 
> prohibitive - several hours of edits were spent per brain at the 
> cross-sectional level due to the use of an older sub-optimal pulse sequence. 
> And, several more hours are required for the editing of each base or 
> longitudinal timepoint.
>
> Given each of these circumstances, is it feasible/appropriate to run LME 
> using data that was not initially processed using the longitudinal processing 
> stream within Freesurfer?
>
> Thanks in advance!
> Lara
>
> Lara Foland-Ross, Ph.D.
> Research Associate and Imaging Lab Manager
> Center for Interdisciplinary Brain Sciences Research
> Stanford University School of Medicine
> 401 Quarry Road, Room 1356
> Stanford, CA 94305-5795
>
>
> ___
> Freesurfer mailing list
> Freesurfer@nmr.mgh.harvard.edu
> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
>
>

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[Freesurfer] feeding data not processed with longitudinal pipeline into Linear Mixed Effects (LME) model

[Lara Foland-Ross]

Hello Freesurfer experts,

I have two longitudinal datasets. In each dataset, some participants have only 
a single timepoint. For this reason, I aim to run the Linear Mixed Effects 
(LME) Model described at 
https://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels.

I understand that it is recommended that before running LME, I process my data 
using the longitudinal stream (e.g., 
https://surfer.nmr.mgh.harvard.edu/fswiki/LongitudinalProcessing). However:

1. in one dataset, some participants were scanned several years apart in early 
childhood, which caused the intra-subject registration to fail in the 
longitudinal processing stream 

and

2. in the second dataset, editing of longitudinal timepoints was time 
prohibitive - several hours of edits were spent per brain at the 
cross-sectional level due to the use of an older sub-optimal pulse sequence. 
And, several more hours are required for the editing of each base or 
longitudinal timepoint.

Given each of these circumstances, is it feasible/appropriate to run LME using 
data that was not initially processed using the longitudinal processing stream 
within Freesurfer?

Thanks in advance!
Lara

Lara Foland-Ross, Ph.D.
Research Associate and Imaging Lab Manager
Center for Interdisciplinary Brain Sciences Research
Stanford University School of Medicine
401 Quarry Road, Room 1356
Stanford, CA 94305-5795


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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.