Positron Emission Tomography (PET), while at the Medical The SPM suite and associated theory was originally developedīy Karl Friston for the routine statistical analysis of functional neuroimaging data from
Finally, once you've mastered SPM youĬan learn about the various Extensions provided by experts in the wider community. If there isn't one in yourĬountry this year then there's always the annual short course in London. You should also be aware of the many Courses on SPM. If you still can't find what you need, you could send an email to the SPM Email list, which gives you access to our community of experts. If you're looking for help on a particular topic you can find the relevant papers from the Online Bibliography.Īlternatively, you can search the SPM pages using the search facility that appears at the top of every page.Īlso browse and search the SPM WikiBook and please feel free toĮdit it if you can. This groupsĭocumentation according to year, category, author and keyword. Papers which are available from our Online Bibliography.
Our methods have been written up in books, technical reports and journal These tutorials therefore give practical instructions on how to Instructions on how to use SPM to analyse them. If you're new to imaging, perhaps an epoch fMRI dataset would be appropriate. Step-by-step instructions for this analysis are You could then Download the latest version of the software and a Dataset to analyse. The best starting point is to read the introductory article on SPM. The current release is designed for the analysis of fMRI, PET, SPECT, EEG and MEG. The sequences can be a series of images fromĭifferent cohorts, or time-series from the same subject. The SPM software package has been designed for theĪnalysis of brain imaging data sequences. In a free and open source software that is called SPM. Statistical processes used to test hypotheses about functional imaging data. Statistical Parametric Mapping refers to the construction and assessment of spatially extended Statistical Parametric Mapping Introduction
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