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Published November 6, 2021 | Version 1.1.0
Dataset Open

PsPM-SC4B: SCR, ECG, EMG, PSR and respiration measurements in a delay fear conditioning task with auditory CS and electrical US

  • 1. University of Zurich, Zurich, Switzerland
  • 2. University College London, United Kingdom

Contributors

  • 1. University of Zurich, Zurich, Switzerland

Description

This dataset includes pupil size response (PSR), skin conductance response (SCR), electrocardiogram (ECG), electromyogram (EMG) and respiration measurements. Also included are CS and US information, keypress responses, keypress response times, key correctness and shock ratings for each of 21 healthy unmedicated participants (10 males and 11 females aged 22.9+/-3.0 years; discrepancies to published studies are due to misprints and exclusion of a subject with incomplete data, which was excluded in all conducted studies as well as here) participating in a classical (Pavlovian) discriminant delay fear conditioning task. Two pairs of CS+ and CS-, either complex or simple, were delivered with headphones (HD518, Sennheiser, Wedemark-Wennebostel, Germany) at about 68 dB. Complex stimuli were a sequence of four rising (400 to 800 Hz) or falling (800 to 400 Hz) sounds lasting 1 s each. Simple stimuli were tones with constant frequency (400 or 800 Hz) presented for 4 s. US consisted of square electric pulses with 0.2-ms duration and 10 Hz frequency, resulting in a total US duration of 0.5 s. SOA betwen the CS and US was 3.5 s. The ITI was randomly determined on each trial to be 7, 9, or 11 s.

Notes

Raw data are contained in data.zip and described in readme.txt. Pre-processed data are contained in data_pp.zip and described in readme_pp.txt. Data are stored as .mat files for use with MATLAB (The MathWorks Inc., Natick, USA) in a format readable by the PsPM toolbox (bachlab.org/pspm). All raw data files are saved in MATLAB 9.2 (R2017a) format, and all pre-processed data files are saved in MATLAB 9.6 (R2019a) format. This research was supported by Wellcome Trust grant 091593/Z/10/Z, and Swiss National Science Foundation grant 320030_149586/1. Data pre-processing was supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant agreement No. ERC-2018 CoG-816564 ActionContraThreat).

Files

CHANGES.txt

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Additional details

Funding

Distributed fear learning systems in the human brain 320030_149586
Swiss National Science Foundation
Core support for the Wellcome Trust Centre for Neuroimaging 091593
Wellcome Trust
ActionContraThreat – Action selection under threat: the complex control of human defense 816564
European Commission