Literature DB >> 1876666

Evaluation of a psychophysiological model of classical fear conditioning in anxious patients.

K R Ashcroft1, F S Guimarães, M Wang, J F Deakin.   

Abstract

Skin conductance variables have been compared in 30 anxious patients and 30 controls to investigate the extent to which anxiety is associated with increased autonomic arousal, reduced habituation or enhanced aversive conditioning. Skin conductance level, variability (spontaneous fluctuations) and response amplitudes to tones were significantly greater in patients than controls. Habituation of skin conductance responses to a series of ten innocuous tones (80 dB, 1 s) did not differ between the groups. Aversively conditioned skin conductance responses were measured to a further series of ten tones after a conditioning trial in which a loud white noise (100 dB) followed tone 11. All subjects showed enhanced (conditioned) responses to the tones after the conditioning trial, but patients did not show greater conditioning than controls. The results indicate that anxious neurotic out-patients have greater sweat gland activity and reactivity than controls but fail to demonstrate differences in central mechanisms of habituation or conditioning.

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Year:  1991        PMID: 1876666     DOI: 10.1007/bf02244181

Source DB:  PubMed          Journal:  Psychopharmacology (Berl)        ISSN: 0033-3158            Impact factor:   4.530


  8 in total

1.  GSR conditioning in anxiety states, normals, and chronic functional schizophrenic subjects.

Authors:  E S HOWE
Journal:  J Abnorm Psychol       Date:  1958-03

2.  Conditioning and extinction of the galvanic skin response as a function of anxiety.

Authors:  M E BITTERMAN; W H HOLTZMAN
Journal:  J Abnorm Psychol       Date:  1952-07

3.  Susceptibility to the acquisition of a conditioned response in relation to the menstrual cycle.

Authors:  D Asso; H R Beech
Journal:  J Psychosom Res       Date:  1975       Impact factor: 3.006

4.  Characterization of a psychophysiological model of classical fear conditioning in healthy volunteers: influence of gender, instruction, personality and placebo.

Authors:  F S Guimarães; J Hellewell; R Hensman; M Wang; J F Deakin
Journal:  Psychopharmacology (Berl)       Date:  1991       Impact factor: 4.530

5.  Test of the conditioning model of neurosis: differential aversive conditioning of angry and neutral facial expressions in anxiety disorder patients.

Authors:  R K Pitman; S P Orr
Journal:  J Abnorm Psychol       Date:  1986-08

6.  A correlational analysis of the relationships between personality and perceptual variables and discriminant GSR conditioning.

Authors:  G A Clum
Journal:  J Clin Psychol       Date:  1969-01

7.  Electrodermal reactivity: an analysis by age and sex.

Authors:  C Eisdorfer; H O Doerr; W Follette
Journal:  J Human Stress       Date:  1980-12

8.  Vulnerability and conditioning in relation to the human menstrual cycle.

Authors:  J Vila; H R Beech
Journal:  Br J Soc Clin Psychol       Date:  1977-02
  8 in total
  6 in total

1.  Color and emotion: effects of hue, saturation, and brightness.

Authors:  Lisa Wilms; Daniel Oberfeld
Journal:  Psychol Res       Date:  2017-06-13

2.  The allocation of attention during locomotion is altered by anxiety.

Authors:  William H Gage; Ryan J Sleik; Melody A Polych; Nicole C McKenzie; Lesley A Brown
Journal:  Exp Brain Res       Date:  2003-04-18       Impact factor: 1.972

3.  Effects of ritanserin on aversive classical conditioning in humans.

Authors:  R Hensman; F S Guimarães; M Wang; J F Deakin
Journal:  Psychopharmacology (Berl)       Date:  1991       Impact factor: 4.530

4.  Modelling anxiety in humans for drug development.

Authors:  Martin Siepmann; Peter Joraschky
Journal:  Curr Neuropharmacol       Date:  2007-03       Impact factor: 7.363

5.  Threat affects risk preferences in movement decision making.

Authors:  Megan K O'Brien; Alaa A Ahmed
Journal:  Front Behav Neurosci       Date:  2015-06-09       Impact factor: 3.558

6.  Take a stand on your decisions, or take a sit: posture does not affect risk preferences in an economic task.

Authors:  Megan K O'Brien; Alaa A Ahmed
Journal:  PeerJ       Date:  2014-07-17       Impact factor: 2.984

  6 in total

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