PsPM-FR dataset ================ Repository Version: 2018.07.12 This dataset includes skin conductance response (SCR), electrocardiogram (ECG) and respiration measurements. Also included are CS and US information, keypress responses and keypress response times for 23 healthy unmedicated participants (06 males and 17 females aged 23.43+/-3.79 years) participating in a classical (Pavlovian) discriminant delay fear conditioning task. CS were a red and a blue rectangle. US consisted of 0.5 s square electric pulses with 0.2-ms duration and 10 Hz frequency. SOA between the CS onset and US was 3.5 s. CS and US co-terminated. During extinction phase, an auditory startle probe (ST) was delivered 3.8 s after CS onset via headphones (100 dB, 50 ms duration with 2ms on- and offset ramp). The ITI was randomly determined on each trial to be 7, 9, or 11 s. -------------------------------------------------------------------------------- This repository is curated by the PsPM team, pspm.sourceforge.net -------------------------------------------------------------------------------- Dataset is described and used in following references: - Giuseppe Castegnetti & Athina Tzovara & Matthias Staib & Philipp C. Paulus & Nicolas Hofer & Dominik R. Bach (2016) Modeling fear-conditioned bradycardia in humans. Psychophysiology, 53:6, pp 930-939. DOI:10.1111/psyp.12637 - Saurabh Khemka & Athina Tzovara & Samuel Gerster & Boris B. Quednow & Dominik R. Bach (2016) Modeling startle eyeblink electromyogram to assess fear learning. Psychophysiology, 54:2, pp 204-214, Psychophysiology. DOI:10.1111/psyp.12775 - Giuseppe Castegnetti & Athina Tzovara & Matthias Staib & Samuel Gerster & Dominik R. Bach (2017) Assessing fear learning via conditioned respiratory amplitude responses. Psychophysiology, 54:2, pp 215-223. DOI:10.1111/psyp.12778 - Athina Tzovara & Christoph W. Korn & Dominik R. Bach (2018) Human Pavlovian fear conditioning conforms to probabilistic learning. PLoS Computational Biology. -------------------------------------------------------------------------------- File Structure: -README.txt // This document -+Data // Folder Containing all data files |-FR_wdq_XX_snY.mat // 23 files holding measurements for SCR, ECG and respiration |-FR_cogent_XX.mat // 23 files holding keyboard presses and CS/US/ST information |-... ------------------------------------------------------------------------------- Data Files: - Files holding SCR, ECG, respiration traces and time markers, recorded with WDQ software. - Skin conductance (channel 1) - Electrocardiogram (channel 2) - Respiration (channel 3) - Event markers used for synchronization with Cogent files, markers are set at CS presentation onset (channel 4) - Files holding keyboard presses and CS/US information, recorded with Cogent 2000 software. The data file name is composed of: - FR The dataset name - wdq/cogent The type of data recorded (see above) - XX The subject number - Y The session number Data are stored as .mat files for use with MATLAB (The MathWorks Inc., Natick, USA) in a format readable by the PsPM toolbox (pspm.sourceforge.net). All Matlab files are saved in MATLAB 9.2 (R2017a) format.