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Consensus design of a calibration experiment for human fear conditioning

Consensus design of a calibration experiment for human fear conditioning
Consensus design of a calibration experiment for human fear conditioning
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.
Calibration design, Experiment-based calibration, Experimental design, Human fear conditioning, Measurement theory, Metrology, Multi-laboratory consensus
0149-7634
Bach, Dominik R
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Sporrer, Juliana
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Abend, Rany
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Beckers, Tom
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Dunsmoor, Joseph E
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Fullana, Miquel A
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Gamer, Matthias
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Gee, Dylan G
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Hamm, Alfons
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Hartley, Catherine A
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Herringa, Ryan J
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Jovanovic, Tanja
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Kalisch, Raffael
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Knight, David C
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Lissek, Shmuel
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Lonsdorf, Tina B
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Merz, Christian J
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Milad, Mohammed
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Morriss, Jayne
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Phelps, Elizabeth A
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Pine, Daniel S
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Olsson, Andreas
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van Reekum, Carien M
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Schiller, Daniela
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et al.
Bach, Dominik R
0fb7b7de-72e8-4930-8550-04970e4c73b8
Sporrer, Juliana
42e1aadc-1a86-44b3-881a-266caa3e5738
Abend, Rany
dd4a0930-5d08-45ff-8058-6f74ee183552
Beckers, Tom
d024b28d-2e35-4b03-a4e6-cad137434a5b
Dunsmoor, Joseph E
39d2d931-18e2-418c-8b55-c8ab5b3d8d31
Fullana, Miquel A
894d60a4-5fed-4efa-9bb3-508f150d04b9
Gamer, Matthias
57ee9bcc-aec7-40d2-8e46-e945796040e3
Gee, Dylan G
83c07607-5fd7-47d9-a0d6-0bb8e6a87360
Hamm, Alfons
d9a87030-1802-4345-a254-0b025425cac9
Hartley, Catherine A
60342f9e-2a79-4ca0-a693-1d8eb834d724
Herringa, Ryan J
24689af9-11e0-4198-8a3e-0d8e4f264c99
Jovanovic, Tanja
24092a8f-4421-4944-a43f-5d976cafdb73
Kalisch, Raffael
61d2ed87-2101-438e-8bec-c98c93646a25
Knight, David C
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Lissek, Shmuel
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Lonsdorf, Tina B
463a4e71-6feb-467a-9c1b-90ebe44d0d3d
Merz, Christian J
7eaa1b7e-2fe4-43ca-ba5a-46b7c4466496
Milad, Mohammed
b729bdbe-e528-40fa-846a-c17ed07f356c
Morriss, Jayne
a6005806-07cf-4283-8766-900003a7306f
Phelps, Elizabeth A
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Pine, Daniel S
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Olsson, Andreas
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van Reekum, Carien M
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Schiller, Daniela
1038c6b2-58dc-461b-a65f-52d7810a0649

Bach, Dominik R, Sporrer, Juliana, Abend, Rany and Morriss, Jayne , et al. (2023) Consensus design of a calibration experiment for human fear conditioning. Neuroscience and Biobehavioral Reviews, 148 (5), [105146]. (doi:10.1016/j.neubiorev.2023.105146).

Record type: Article

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.

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Accepted/In Press date: 24 March 2023
e-pub ahead of print date: 27 March 2023
Published date: 1 May 2023
Additional Information: Funding Information: DRB receives funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme ( ERC-2018 CoG-816564 ActionContraThreat), and from the National Institute for Health Research (NIHR) UCLH Biomedical Research Centre. The Wellcome Centre for Human Neuroimaging is supported by core funding from the Wellcome ( 203147/Z/16/Z ). RA is supported by the Brain & Behavior Research Foundation (28239). MAF receives funding from the Instituto de Salud Carlos II co-funded by the European Union ( PI 19/00272 ). TJ receives funding from the National Institutes for Health ( R01 MH111682 ) and Brain and Behavior Research Foundation . CJM receives funding from the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation) within the SFB 1280 Extinction Learning (grant number 316803389 - SFB1280; project A09). TBL receives funding from the German Research Foundation ( DFG LO1980/4-1 , LO1980/7-1 , LO1980/10-1 ). DSP is supported by NIMH-IRP Project ZIA-MH002781 . DS is supported by NIH ( R01MH122611 , R01MH123069 ). Funding Information: DRB receives funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (ERC-2018 CoG-816564 ActionContraThreat), and from the National Institute for Health Research (NIHR) UCLH Biomedical Research Centre. The Wellcome Centre for Human Neuroimaging is supported by core funding from the Wellcome (203147/Z/16/Z). RA is supported by the Brain & Behavior Research Foundation (28239). MAF receives funding from the Instituto de Salud Carlos II co-funded by the European Union (PI 19/00272). TJ receives funding from the National Institutes for Health (R01 MH111682) and Brain and Behavior Research Foundation. CJM receives funding from the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation) within the SFB 1280 Extinction Learning (grant number 316803389 - SFB1280; project A09). TBL receives funding from the German Research Foundation (DFG LO1980/4-1, LO1980/7-1, LO1980/10-1). DSP is supported by NIMH-IRP Project ZIA-MH002781. DS is supported by NIH (R01MH122611, R01MH123069). Publisher Copyright: © 2023 The Authors
Keywords: Calibration design, Experiment-based calibration, Experimental design, Human fear conditioning, Measurement theory, Metrology, Multi-laboratory consensus
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Identifiers

Local EPrints ID: 477935
URI: http://eprints.soton.ac.uk/id/eprint/477935
DOI: doi:10.1016/j.neubiorev.2023.105146
ISSN: 0149-7634
PURE UUID: 2eda9f6b-0ad2-4518-8014-a3a70d90fb7f
ORCID for Jayne Morriss: ORCID iD orcid.org/0000-0002-7928-9673

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Date deposited: 16 Jun 2023 16:46
Last modified: 17 Mar 2024 04:14

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Contributors

Author: Dominik R Bach
Author: Juliana Sporrer
Author: Rany Abend
Author: Tom Beckers
Author: Joseph E Dunsmoor
Author: Miquel A Fullana
Author: Matthias Gamer
Author: Dylan G Gee
Author: Alfons Hamm
Author: Catherine A Hartley
Author: Ryan J Herringa
Author: Tanja Jovanovic
Author: Raffael Kalisch
Author: David C Knight
Author: Shmuel Lissek
Author: Tina B Lonsdorf
Author: Christian J Merz
Author: Mohammed Milad
Author: Jayne Morriss ORCID iD
Author: Elizabeth A Phelps
Author: Daniel S Pine
Author: Andreas Olsson
Author: Carien M van Reekum
Author: Daniela Schiller
Corporate Author: et al.

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