Hi,


I use Matlab 2017b.

P =

struct with fields:
subject: 'sampleData_Study'
directory: '/home/bromis/gppi/NITRC-gppi-Downloads/running_gPPI_generic/running_gPPI_generic/sampleData/stats'
VOI: '/home/bromis/gppi/NITRC-gppi-Downloads/running_gPPI_generic/running_gPPI_generic/rmedPrecCing.nii'
Region: 'rmedPrec'
analysis: 'psy'
method: 'cond'
Estimate: 1
contrast: 0
extract: 'eig'
Tasks: {1×13 cell}
Weights: []
equalroi: 1
FLmask: 0
CompContrasts: 1
Contrasts: [1×2 struct]

Parameters used:
Processing subject: sampleData_Study
VOI file : /home/bromis/gppi/NITRC-gppi-Downloads/running_gPPI_generic/running_gPPI_generic/rmedPrecCing.nii
Output file will be: sampleData_Study_rmedPrec_session#_cond_PPI_regressors.txt
Contrast : No adjustment
Analysis : Psychophysiological Interactions
Extraction : eigenvariate
Tasks : _0_etoh_on_onsets_run1_etoh_off_onsets_run1_etoh_urge_onsets_run1_attn_on_onsets_run1_attn_off_onsets_run1_attn_urge_onsets_run1_etoh_on_onsets_run2_etoh_off_onsets_run2_etoh_urge_onsets_run2_attn_on_onsets_run2_attn_off_onsets_run2_attn_urge_onsets_run2
Method : Condition Specific


I have changed the arguments in the spm_estimate_PPI function as you proposed but nothing changed.