Hi
We don;t recommend using the melodic_mix for obtaining subject-
specific maps. Instead, we suggest using a dual regression approach as
described in this year's HBM abstract. Let me know if you want to be
added to the list of code testers.
Best
Christian
On 20 Oct 2009, at 22:04, Philipp G. Saemann wrote:
> Dear FSL experts,
>
> we are seeking to reconsrtruct individual component maps from a group
> melodic result (time concatenation mode), via the melodic_mix file
> that
> contains the individual time courses.
>
> What approach is recommended for this? The simpliest solution seems
> regression of the filtered_func_data.* on the time course of the
> respective
> component and subject of interest.
>
> From a number of explorative attempts we though that maybe additional
> nuisance regressors (motion?) could be included, but it is of course
> debatable. The goal is to derive maps for 2nd level voxelwise
> comparison in
> a GLM.
>
> We'd appreciate any comments on how to best reconstruct individual
> components,
>
> thanks a lot in advance,
> Philipp
_______________________________________________
Christian F. Beckmann, DPhil
Senior Lecturer, Clinical Neuroscience Department
Division of Neuroscience and Mental Health
Imperial College London, Hammersmith Campus
Rm 419, Burlington Danes Bldg, Du Cane Road, London W12 0NN, UK
Tel.: +44 (0)20 7594 6685 --- Fax: +44 (0)20 7594 6548
Email: [log in to unmask]
http://www.imperial.ac.uk/medicine/people/c.beckmann/
Senior Research Fellow, FMRIB Centre
University of Oxford
JR Hospital - Oxford OX3 9DU
Tel.: +44 (0)1865 222551 --- Fax: +44 (0)1865 222717
Email: [log in to unmask]
http://www.fmrib.ox.ac.uk/~beckmann
|