Navigating the garden of forking paths for data exclusions in fear conditioning research

被引:100
|
作者
Lonsdorf, Tina B. [1 ]
Klingelhoefer-Jens, Maren [1 ]
Andreatta, Marta [2 ,3 ]
Beckers, Tom [4 ,5 ]
Chalkia, Anastasia [4 ,5 ]
Gerlicher, Anna [6 ]
Jentsch, Valerie L. [7 ]
Drexler, Shira Meir [7 ]
Mertens, Gaetan [8 ]
Richter, Jan [9 ]
Sjouwerman, Rachel [1 ]
Wendt, Julia [10 ]
Merz, Christian J. [7 ]
机构
[1] Univ Med Ctr Hamburg Eppendorf, Dept Syst Neurosci, Hamburg, Germany
[2] Univ Wurzburg, Dept Psychol Biol Psychol Clin Psychol & Psychoth, Wurzburg, Germany
[3] Erasmus Univ, Instutute Psychol Educ & Child Studies, Rotterdam, Netherlands
[4] Katholieke Univ Leuven, Ctr Psychol Learning & Expt Psychopathol, Leuven, Belgium
[5] Katholieke Univ Leuven, Leuven Brain Inst, Leuven, Belgium
[6] Univ Amsterdam, Fac Social & Behav Sci, Programme Grp Clin Psychol, Amsterdam, Netherlands
[7] Ruhr Univ Bochum, Dept Cognit Psychol, Inst Cognit Neurosci, Bochum, Germany
[8] Univ Utrecht, Dept Psychol, Utrecht, Netherlands
[9] Univ Greifswald, Dept Physiol & Clin Psychol Psychotherapy, Greifswald, Germany
[10] Univ Potsdam, Biol Psychol & Affect Sci, Potsdam, Germany
来源
ELIFE | 2019年 / 8卷
关键词
EXTINCTION; RETURN; RECONSOLIDATION; ACQUISITION; CONTEXT; STARTLE; HUMANS; EXPOSURE; CORTISOL; RENEWAL;
D O I
10.7554/eLife.52465
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this report, we illustrate the considerable impact of researcher degrees of freedom with respect to exclusion of participants in paradigms with a learning element. We illustrate this empirically through case examples from human fear conditioning research, in which the exclusion of 'non-learners' and 'non-responders' is common - despite a lack of consensus on how to define these groups. We illustrate the substantial heterogeneity in exclusion criteria identified in a systematic literature search and highlight the potential problems and pitfalls of different definitions through case examples based on re-analyses of existing data sets. On the basis of these studies, we propose a consensus on evidence-based rather than idiosyncratic criteria, including clear guidelines on reporting details. Taken together, we illustrate how flexibility in data collection and analysis can be avoided, which will benefit the robustness and replicability of research findings and can be expected to be applicable to other fields of research that involve a learning element.
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页数:36
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