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Thank you so much Best, Danielle Enviado do Outlook<http://aka.ms/weboutlook> ________________________________ De: FSL - FMRIB's Software Library <[log in to unmask]> em nome de Anderson M. Winkler <[log in to unmask]> Enviado: terça-feira, 14 de fevereiro de 2017 08:23 Para: [log in to unmask] Assunto: Re: [FSL] TBSS and stroke group Hi Danielle, Regarding the analysis using randomise, this can be done, i.e., comparing the two timepoints between the two groups. See for example this earlier message in the list: https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=FSL;3cee56eb.1510 Regarding the lesions, you'd probably want to mask them out before doing registration (to avoid the lesions driving the alignment). In any case, if the lesions are large and with varied topography, this will certainly impact the ability of doing a meaningful voxelwise analysis. All the best, Anderson On 11 February 2017 at 16:47, Danielle de Sa Boasquevisque <[log in to unmask]<mailto:[log in to unmask]>> wrote: Dear FSL experts, I was wondering whether anyone has any advice about the possibility of analysing stroke DTI data using TBSS and randomise. We are interested in measuring the changes in FA after a brain stimulation intervention, in a paired dependent sample ( I mean same subjects in different moments : before stimulation and after stimulation ) but also comparing different and independent groups using TBSS. I want to see the effect of stimulation in FA considering different time-points ( pre-stimulation and post-stimulation point) and between the sham and active group. I have two groups ( sham-group and active-group) and each group is very heterogenous considering that stroke lesions occur in different anatomical locations, size etc. Is it possible to analyse changes in FA after stimulation in the same paired-group ( same subjects before and after intervention) using randomise and also comparing different independent groups ? If so any advice regarding generation of design and contrast files would be much appreciated. Thank you for your attention, Danielle de Sá Boasquevisque Health Sciences PhD Candidate Instituto Israelita de Ensino e Pesquisa Albert Einstein São Paulo, Brazil.