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Hi Jian,

The latter: arguably one of the main benefits of carrying out a FLICA analysis on the images is that it is precisely agnostic to any demographic measures of the subjects (age, sex, diagnosis, etc.).

Then of course, depending on your question of interest, you can run post-hoc tests, making sure you correct for multiple comparisons across the ICs.

Cheers,Gwenaëlle
 
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Gwenaëlle Douaud, PhD
Associate Professor & MRC Career Development Fellow

FMRIB Centre, University of Oxford
John Radcliffe Hospital, Headington
OX3 9DU Oxford UK
Switchboard: +44 (0) 1865 222 493
Fax: +44 (0) 1865 222 717

www.fmrib.ox.ac.uk/team/principal-investigators/gwenaelle-douaud
www.fmrib.ox.ac.uk/research/translational-image-analysis-group
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De : Jian Zhang <[log in to unmask]>
À : [log in to unmask]
Envoyé le : Mercredi 18 mai 2016 16h33
Objet : [FSL] FLICA：setting for groups diffenence comparison

Dear FSL Experts,

We try to use FLICA to find the co-alterations across TBSS, VBM and resting MRI, for comparing the difference of co-alterations between patients and normal controls (2 groups), where can we set the group variable? Via the opts.Rgroups set in flica_parseoptions.m before running the analysis? Or run the analysis firstly, treating the 2 groups as 1 group, and then run post-hoc correlation analysis, set group as categorical variable(1 for patients, 2 for normal controls in the EV)?

EV(group)
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We check the flica_lars484_WMGM.m file, but it seem that the example was written for 1 group analysis, we are not clear how it would be modified for our goal. Can you give us some hints?

Kind regards,
Jian