smoothing sensor data

[Ingrid Nieuwenhuis]

Hi everyone,



Did anyone try smoothing single-subject data on sensor level before? In
source-space I noticed that smoothing my single subjects (MEG)data made the
GA-statistical analysis more sensitive because the source-locations were a
bit shifted over subjects (MEG spatial resolution apparently isn't that bad
after all ;) ). There I used a spm_smooth function on my volume data. But
now I want to try the same on sensor level, I have pretty focal blobs, and
cluster-analysis "looses" the cluster over time in the GA.



Now I wonder how to do this. I could use the sensor locations in the grad
and then adjust the values according to distance in 3D space. Before making
this myself I was just wondering if anyone already made code to do the same.
Ideas on how to do it are also much appreciated ;)



Best regards,

Ingrid



___________________________________

Ingrid Nieuwenhuis

PhD student

Donders Institute for Brain, Cognition and Behaviour,

Centre for Cognitive Neuroimaging

Radboud University Nijmegen, The Netherlands

Email: ingrid.nieuwenhuis at fcdonders.ru.nl

Tel: 0031 (0)24 - 36 10887




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The aim of this list is to facilitate the discussion between users of the FieldTrip  toolbox, to share experiences and to discuss new ideas for MEG and EEG analysis. See also http://listserv.surfnet.nl/archives/fieldtrip.html and http://www.ru.nl/fcdonders/fieldtrip.
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