# Confidence of probabilistic predictions modulates the cortical response to pain: data
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[Article preprint][1]
[Codes][2] to load and analyze the data
## /ratings/ folder
- behavioral data of the study
- all_subj.zip contains one folder for each recruited participant /subj{ii}/ with {ii} the subject index
- within each subject's folder:
* Cond_TCS_subj{i}.mat gives the generative transition probabilities used
* Staircase_TCS_subj{i}_1.mat: outcomes of the staircase procedure to determine the Adelta threshold of subject {i}
* Pre_check_TCS_subj{i}_1.mat: outcomes of the pre-check session assessing the discrimination of the 2 stimuli
* Train_TCS_subj{i}_TP70_40_50stim_1.mat: outcomes of the training session
* Test_cond{j}_TCS_subj{i}_TP{aa}_{bb}_100stim_1.mat: outcomes of the {j}th test session for subject {i} using the sequence transition probabilities [p(I1|I2), p(I2|I1)] = [{aa}, {bb}]
* Post_check_TCS_subj{i}_1.mat: outcomes of the post-check session assessing the discrimination of the 2 stimuli
## /EEG/ folder
- EEG recordings of the study
- all_EEG.zip contains one file for each recruited participant subj{ii}.mat with {ii} the subject index
- each subject's file contains a 1x10 structure 'lwdata' of data with the [Letswave][3] format. The {j}th structure entry corresponds to the {j}th testing block. Each structure entry has 2 fields:
* data: 6D matrix containing the EEG time courses
with epochs along the 1st dimension
with channels along the 2nd dimension
with time along the 6th dimension
* header: cell array containing information about
- the block name ("name" field, with the format Test{jj}_TP{aa}_{bb}-S{ii})
- channel names & positions ("chanlocs" field)
- sampling frequency ("xstep" field)
- stimulus timings ("events" field)
[1]: https://doi.org/10.1101/2022.08.11.503296
[2]: https://github.com/dmulders/pain_TSL_EEG
[3]: https://www.letswave.org/
