Dataset Open Access

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

Korn, Christoph W.; Staib, Matthias; Tzovara, Athina; Castegnetti, Giuseppe; Bach, Dominik R.


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1288494", 
  "language": "eng", 
  "title": "PsPM-LI: SCR, ECG,  PSR and respiration measurements in a delay fear conditioning task with auditory CS and electrical US.", 
  "issued": {
    "date-parts": [
      [
        2018, 
        6, 
        13
      ]
    ]
  }, 
  "abstract": "<p>This dataset includes pupil size response (PSR), skin conductance response(SCR), electrocardiogram (ECG) and respiration measurements for each of 20 healthy unmedicated participants (8 males and 12 females aged 22.8+/-3.3 years) participating in a classical (Pavlovian) discriminant delay fear conditioning task. (One additional participant in the initial sample in Korn et al. (2017) - but who did not finish the experiment and was not included into the analysis - is not contained in this dataset.) The acquisition data is separated into two sessions which were recorded consecutively with a break of approximately 5 min. CS consist of two sine tones with constant frequency (220 Hz or 440 Hz, 50-ms onset and offset ramp) and last for 6.5 s. US is a 0.5 s train of electric square pulses delivered with a constant current stimulator (Digitimer DS7A, Digitimer, Welwyn Garden City, UK) on participants&#39; dominant forearm through a pin-cathode/ring-anode configuration. SOA betwen the CS and US is 6 s. The ITI is randomly determined on each trial to be 7, 9, or 11 s.</p>", 
  "author": [
    {
      "family": "Korn, Christoph W."
    }, 
    {
      "family": "Staib, Matthias"
    }, 
    {
      "family": "Tzovara, Athina"
    }, 
    {
      "family": "Castegnetti, Giuseppe"
    }, 
    {
      "family": "Bach, Dominik R."
    }
  ], 
  "note": "See the readme file for more detail. \nData 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 9.3 (R2017b) format.\nThis research was supported by Wellcome Trust grant 091593/Z/10/Z, and Swiss National Science Foundation grant 320030_149586/1.", 
  "version": "1.0.0", 
  "type": "dataset", 
  "id": "1288494"
}
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