Literature DB >> 33075429

Cardiac defensive reactions and orienting responses correspond to virtual withdrawal behavior choices in a virtual T-maze.

Johannes Rodrigues1, Mathias Müller2, Johannes Hewig2.   

Abstract

Trait or stimulus valence related differences in heart rate change have often been investigated in psychophysiological research. However, the influence of different behavioral responses during motivational contexts on cardiac response patterns has been neglected so far. In this manuscript, HR change during movement via joystick during the negatively valent motivational condition of a virtual T-maze was investigated in two studies. Concerning the behavior, two specific avoidance response types could be identified in previous studies: a backwards withdrawal and an approach to safety. HR change and skin conductance response were hypothesized to be differentially related to these response patterns. For HR changes, the proposed difference was found. Participants facing the safety zone during their avoidance showed cardiac responses associated with the defensive response. In contrast, participants facing the negative entity of the virtual T-maze during their backwards withdrawal yielded cardiac responses associated with orienting reactions. Interestingly, these differences were found independently of the stimuli used in the two paradigms (monster vs. man). These findings lead to the conclusion that the execution of different behavioral responses during motivational conditions is an important factor in analyzing psychophysiological patterns, because they change according to the executed behavior and the linked visual and motivational properties.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Behavior dependent cardiac response patterns; Defensive response; HR-changes; Orienting reaction; Virtual T-maze

Mesh:

Year:  2020        PMID: 33075429     DOI: 10.1016/j.ijpsycho.2020.08.010

Source DB:  PubMed          Journal:  Int J Psychophysiol        ISSN: 0167-8760            Impact factor:   2.997


  2 in total

1.  Standardizing continuous data classifications in a virtual T-maze using two-layer feedforward networks.

Authors:  Johannes Rodrigues; Philipp Ziebell; Mathias Müller; Johannes Hewig
Journal:  Sci Rep       Date:  2022-07-27       Impact factor: 4.996

2.  EPOS: EEG Processing Open-Source Scripts.

Authors:  Johannes Rodrigues; Martin Weiß; Johannes Hewig; John J B Allen
Journal:  Front Neurosci       Date:  2021-06-07       Impact factor: 4.677

  2 in total

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