Dataset for 'Self-processing in relation to emotion and reward processing in depression'

Data collection method:

We recruited participants aged 18 to 65, fluent in English, with normal or corrected to normal vision, through campus advertising at the University of Bath. As depression severity is positively skewed within the general population (Tomitaka et al., 2015), to ensure balanced levels of depression we screened participants using the Patient Health Questionnaire (PHQ-9; Kroenke et al., 2001). We recruited an equal number of participants with no depression (PHQ-9 less than or equal to 4), mild depression (PHQ-9 5-9) and moderate to severe depression (PHQ-9 greater than or equal to 10). Participants completed self-report depression measures (PHQ-9, BDI-II) across two sessions approximately one week apart. We measured self, emotion, and reward processing, separately and in combination, using three cognitive tasks. This included simple associative learning task, a self-esteem go/no-go task, and a social evaluation learning task.

Data processing and preparation activities:

Data was anonymised prior to cleaning, through random re-assignment of unique IDs and removal of potentially identifying variables (e.g. exact date of sessions). Aside from the anonymisation changes, the raw data is provided as well as the code used to clean data to produce the aggregate data used for analysis. For clarity the code used for anonymisation is provided in the R scripts for cleaning raw data in comments.

Technical details and requirements:

The data was cleaned and analysed using R version 3.6. Data is provided in .CSV, .XLSX and .RDA files which can be opened with a variety of software.

Additional information:

A data dictionary is provided outlining the organisation of data and describing individual variables.