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Review
. 2023 May:148:105146.
doi: 10.1016/j.neubiorev.2023.105146. Epub 2023 Mar 27.

Consensus design of a calibration experiment for human fear conditioning

Affiliations
Review

Consensus design of a calibration experiment for human fear conditioning

Dominik R Bach et al. Neurosci Biobehav Rev. 2023 May.

Abstract

Fear conditioning is a widely used laboratory model to investigate learning, memory, and psychopathology across species. The quantification of learning in this paradigm is heterogeneous in humans and psychometric properties of different quantification methods can be difficult to establish. To overcome this obstacle, calibration is a standard metrological procedure in which well-defined values of a latent variable are generated in an established experimental paradigm. These intended values then serve as validity criterion to rank methods. Here, we develop a calibration protocol for human fear conditioning. Based on a literature review, series of workshops, and survey of N = 96 experts, we propose a calibration experiment and settings for 25 design variables to calibrate the measurement of fear conditioning. Design variables were chosen to be as theory-free as possible and allow wide applicability in different experimental contexts. Besides establishing a specific calibration procedure, the general calibration process we outline may serve as a blueprint for calibration efforts in other subfields of behavioral neuroscience that need measurement refinement.

Keywords: Calibration design; Experiment-based calibration; Experimental design; Human fear conditioning; Measurement theory; Metrology; Multi-laboratory consensus.

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Figures

Fig. 1
Fig. 1
Illustration of the calibration approach. An established experimental procedure is used to generate true values of a latent attribute, which are measured with some measurement error. Ranking measurements by their retrodictive validity corresponds to their ranking by measurement error.
Fig. 2
Fig. 2
Illustration of the consensus process. Fundamental questions and survey options were decided in a steering committee, and then the wider expert community was surveyed about the validity conditions and other design variables. The calibration design was finalized by the steering committee.
Fig. 3
Fig. 3
Illustration of the proposed calibration experiment.
Fig. 4
Fig. 4
Preferred type of instructions (left) and reinforcement rate (right) was heterogeneous in the surveyed expert community.

References

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