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Critical evaluation of current data analysis strategies for psychophysiological measures of fear conditioning and extinction in humans

Citation

Ney, LJ and Wade, M and Reynolds, A and Zuj, DV and Dymond, S and Matthews, A and Felmingham, KL, Critical evaluation of current data analysis strategies for psychophysiological measures of fear conditioning and extinction in humans, International Journal of Psychophysiology, 134 pp. 95-107. ISSN 0167-8760 (2018) [Refereed Article]

Copyright Statement

© 2018 Elsevier B.V. All rights reserved.

DOI: doi:10.1016/j.ijpsycho.2018.10.010

Abstract

Fear conditioning and extinction is a construct integral to understanding trauma-, stress- and anxiety-related disorders. In the laboratory, associative learning paradigms that pair aversive with neutral stimuli are used as analogues to real-life fear learning. These studies use physiological indices, such as skin conductance, to sensitively measure rates and intensity of learning and extinction. In this review, we discuss some of the potential limitations in interpreting and analysing physiological data during the acquisition or extinction of conditioned fear. We argue that the utmost attention should be paid to the development of modelling approaches of physiological data in associative learning paradigms, by illustrating the lack of replicability and interpretability of results in current methods. We also show that statistical significance may be easily achieved in this paradigm without more stringent data and data analysis reporting requirements, leaving this particular field vulnerable to misleading conclusions. This review is written so that issues and potential solutions are accessible to researchers without mathematical training. We conclude the review with some suggestions that all laboratories should be able to implement, including visualising the full data set in publications and adopting modelling, or at least regression-based, approaches.

Item Details

Item Type:Refereed Article
Keywords:fear learning, extinction, methods, data analysis, return of fear, replicability crisis, conditioning, skin conductance responses (SCR), physiological responding, anxiety
Research Division:Psychology
Research Group:Biological psychology
Research Field:Behavioural neuroscience
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in psychology
UTAS Author:Ney, LJ (Mr Luke Ney)
UTAS Author:Wade, M (Mr Matthew Wade)
UTAS Author:Reynolds, A (Associate Professor Adrian Reynolds)
UTAS Author:Matthews, A (Dr Allison Matthews)
UTAS Author:Felmingham, KL (Professor Kim Felmingham)
ID Code:129079
Year Published:2018
Web of Science® Times Cited:34
Deposited By:Psychology
Deposited On:2018-11-08
Last Modified:2019-08-14
Downloads:0

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