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afni_singlesubject [2014/07/13 09:39]
pmolfese
afni_singlesubject [2014/07/13 09:42]
pmolfese
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 After these steps, fMRI data acquired during along with a functional task are fit to a linear regression model representing the onsets and durations of each condition. ​ It is this last step that finally generates the "​pretty pictures"​ of activation on the brain.  ​ After these steps, fMRI data acquired during along with a functional task are fit to a linear regression model representing the onsets and durations of each condition. ​ It is this last step that finally generates the "​pretty pictures"​ of activation on the brain.  ​
  
-===== Single Subject Processing in AFNI =====+====== Single Subject Processing in AFNI ======
  
 AFNI has both a Graphical User Interface (GUI) and Command-Line Interface (CLI) for performing all of these single-subject processing steps. ​ The GUI option is uber_subject.py and requires the installation of PyQT, whereas the CLI option is afni_proc.py,​ which should run on most computers with a fresh install of AFNI.  ​ AFNI has both a Graphical User Interface (GUI) and Command-Line Interface (CLI) for performing all of these single-subject processing steps. ​ The GUI option is uber_subject.py and requires the installation of PyQT, whereas the CLI option is afni_proc.py,​ which should run on most computers with a fresh install of AFNI.  ​
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     - uber_ttest.py     - uber_ttest.py
     - uber_align_test.py     - uber_align_test.py
 +
 +====== Specify uber_subject.py ======
  
  
afni_singlesubject.txt ยท Last modified: 2014/07/13 10:19 by pmolfese