After running 3dDeconvolve, an 'all_runs' dataset is created by concatenating the 9 scaled EPI time series datasets, using program 3dTcat.

• After running 3dDeconvolve, an 'all_runs' dataset is created by concatenating the 9 scaled EPI time series datasets, using program 3dTcat.

• • • 3dTcat -prefix all_runs.$subj pb04.$subj.r??.scale+orig.HEAD
  • Now we can use the Double Plot graph feature to plot the all_runs dataset, along with the fitts dataset, in the same graph window
  • • this shows how well we have modeled the data, at a given voxel location
    • • the fit time series is the sum of each regressor (X matrix column), multiplied by its corresponding beta weight
      • the fit time series is the same as the input time series, minus the error
    • note that different locations in the brain respond better to some stimulus classes than others, generally, so the fit time series may overlap better after one type of stimulus than after another
    • We will focus on voxel 22 43 12 (ijk), which has the largest F-stat in the dataset