# Cold Face Test Data ## Overview This repository contains data collected during the "Cold Face Test" Study in November 2019. The data in this repository are used for the following projects: * Paper [Vagus Activation by Cold Face Test Reduces Acute Psychosocial Stress Responses](https://www.nature.com/articles/s41598-022-23222-9), published in *Scientific Reports*. ## Changelog ### v1.1.0 (2023-04-04) * Corrected error in questionnaire data - conditions for VP17, VP18, VP19, VP20 were mixed up: *WRONG*: VP17 CFT, VP18 Control, VP19 CFT, VP20 Control *CORRECT*: VP17 Control, VP18 CFT, VP19 Control, VP20 CFT NOTE: This only affects the outcomes of the questionnaire analyses, NOT the outcomes of HR(V) and cortisol! Conditions for these data were assigned based on the file ``condition_list.csv`` in which the conditions were entered correctly. ### v1.0.0 (2022-03-08) * Initial release ## How to Work with the Data ### Download from OSF The easiest way to get the dataset is to download the dataset from [OSF](https://osf.io/8fb6n/). ### Install the CFT Analysis Package (optional) If you want to use this dataset it is recommended to install the [`cft-analysis`](https://github.com/mad-lab-fau/cft-analysis) package. This package contains various helper functions to work with the dataset (including [`tpcp`](https://github.com/mad-lab-fau/tpcp) `Dataset` representations), process data, and different analysis experiments performed with the dataset. See the [`cft-analysis`](https://github.com/mad-lab-fau/cft-analysis) package for further information. ## How the Data are Structured The repository is structured as follows: ```bash ├── documents/ │ └── codebook_unipark.xlsx # Export of questionnaire project from Unipark ├── ecg/ # ECG data stuctured in separate subfolders per participant │ ├── Vp01/ │ │ ├── raw/ │ │ │ ├── NilsPodX-<sensor-id>_YYYYMMDD_HHMMSS.bin # Raw sensor data as binary file for each individual phase │ │ │ └── ... │ │ └── processed/ │ │ ├── hr_result_Vp01.xlsx # Heart rate extracted from raw ECG data │ │ ├── hrv_continuous_Vp01.xlsx # Continuous heart rate variability extracted from ECG data (window size: 10 samples, overlap: 1 sample) │ │ └── rpeaks_result_Vp01.xlsx # R peaks (indices and RR intervals) extracted from raw ECG data │ ├── Vp02/ │ └── .../ ├── questionnaire/ # Questionnaire data stored as tabular data │ ├── cleaned/ │ │ └── questionnaire_data_cleaned.xlsx # Questionnaire data cleaned after export from Unipark │ ├── processed/ │ │ └── questionnaire_data.csv # Processed questionnaire data with computed scores │ └── codebook.csv # Codebook with mapping of nominal and ordinal scales to numerical values ├── saliva/ # Saliva data stored as tabular data │ ├── raw/ │ │ ├── cft_amylase_data.xlsx # Alpha-amylase in raw data format │ │ └── cft_cortisol_data.xlsx # Cortisol in raw data format │ └── processed/ │ ├── cortisol_samples.csv # Cortisol raw samples in long-format │ └── cortisol_features.csv # Computed cortisol features in long-format └── condition_list.csv # Mapping of Subject ID and Condition ``` ### What Data are Missing No data are missing in this dataset, however, for some participants (e.g., `Vp01` and `Vp06`) sensor data for some phases were accidentally recorded as `.csv` files instead of `.bin` files. Thus, to facilitate data import it is recommended to load the data folder of one subject via the helper function provided in the [`cft-analysis`](https://github.com/mad-lab-fau/cft-analysis) package: `cft_analysis.datasets.helper.load_ecg_raw_data_folder()`. ## How the Data were Acquired In this study, 28 healthy participants were exposed to acute stress by the Montreal Imaging Stress Task (MIST) while ECG, salivary cortisol, and self-reported were recorded. The study took place on several days between 11:00 a.m. - 5:30 p.m. Individuals were randomly assigned to either the Control group or the group that was exposed to the CFT. The following data were collected for each participant: * **ECG**: 1-channel ECG according to Lead I of Einthoven's triangle using a wearable sensor node (Portabiles GmbH, Erlangen, Germany), split into the following phases: * *Pre* (also denoted as *Global Baseline*): duration ~15 min * *MIST Phase 1*: duration ~10 min * *MIST Phase 2*: duration ~10 min * *MIST Phase 3*: duration ~10 min * *Post*: duration ~45 min Each *MIST* phase was further divided into the following subphases: * Baseline (BL): duration 60s * Resting Period / Cold Face Intervention (RP/CFI): duration 120s * Arithmetic Tasks (AT): duration 240s * Feedback (FB): variable duration * **Saliva**: During the study a total of seven saliva samples (S0-S6) were collected along with the study procedure -30, 0, 30, 40, 50, 60, 70 min relative to MIST start. S0 was only collected to scan for (and possibly exclude) individuals with high cortisol baseline levels while S1-S6 were used for further analysis. * **Self-Reports**: Self-reports, assessed via questionnaire, were assessed before (pre) and after (post) the MIST. To assess mood state the "Multidimensionale Befindlichkeitsfragebogen" (MDBF), the German version of the "Mood State Questionnaire", was used.