function conn_batchexample_Results;
% example batch process for ANALYSES step. Edit the fields below
% this example is a paired t-test on connectivity differences between 
two sources across all of the subjects during the rest condition)

rootfolder=pwd;
batch.filename=...                   % conn_* project file to be modified
     fullfile(rootfolder,'conn_attention.mat');

batch.Results.analysis_number=1;                                % 
What set of first-level analyses is this second-level analyses based 
on? (Sequential number identifying each set of independent 
first-level analyses)
batch.Results.foldername=...                                    % 
foldername where second-level results will be stored (this folder 
will be located in the results/secondlevel/ folder within the project 
folder)
     'V2_connectivitydifferences_att-vs.no-att.allsubjects';

batch.Results.between_subjects.effect_names={'all subjects'};   % 
second-level between-subject effect names: cell array of strings (one 
per effect)
batch.Results.between_subjects.effects=...                      % 
second-level effects (subjects by effects matrix)
     [ones(CONN_x.Setup.nsubjects,1)];
batch.Results.between_subjects.contrast=1;                      % 
between-subjects contrast (vector of 1 by effects-defined-above 
values)

batch.Results.between_conditions.effect_names={'att','natt'};   % 
list of condition names: cell array of strings (one per condition), 
these should correspond to the conditions names defined in the 
experiment setup
batch.Results.between_conditions.contrast=[1,-1];               % 
between-condition contrast (vector of 1 by conditions-defined-above 
values)

batch.Results.between_sources.effect_names={'MPFC_1_1'};        % 
list of seed names: cell array of strings (one per source). these 
should correspond to the ROI file names -or label names for atlas 
ROIs- imported in the experiment setup. If in doubt display the 
"CONN_x.Analyses(ianalysis).sources" variable to see a list of 
available names for this experiment. note: the _1_1 part indicates 
the first derivative order/dimension extracted (you would only need 
to change this if multivariate extraction for a given ROI is 
performed)
batch.Results.between_sources.contrast=[1];                     % 
between-source contrast (vector of 1 by sources-defined-above values)

batch.Results.done=1;

conn_batch(batch);