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 overco...

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Published inNeuroscience and biobehavioral reviews Vol. 148; p. 105146
Main Authors Bach, Dominik R., Sporrer, Juliana, Abend, Rany, Beckers, Tom, Dunsmoor, Joseph E., Fullana, Miquel A., Gamer, Matthias, Gee, Dylan G., Hamm, Alfons, Hartley, Catherine A., Herringa, Ryan J., Jovanovic, Tanja, Kalisch, Raffael, Knight, David C., Lissek, Shmuel, Lonsdorf, Tina B., Merz, Christian J., Milad, Mohammed, Morriss, Jayne, Phelps, Elizabeth A., Pine, Daniel S., Olsson, Andreas, van Reekum, Carien M., Schiller, Daniela
Format Journal Article
LanguageEnglish
Published United States Elsevier Ltd 01.05.2023
Pergamon Press
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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. •Heterogeneity in human fear conditioning readouts limits comparability of results.•We report a multi-laboratory consensus on evaluation of readouts.•Literature review identifies crucial design elements for calibration experiments.•25 design elements are formulated based on expert survey.•Generic consensus process is translatable to other disciplines.
AbstractList 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. •Heterogeneity in human fear conditioning readouts limits comparability of results.•We report a multi-laboratory consensus on evaluation of readouts.•Literature review identifies crucial design elements for calibration experiments.•25 design elements are formulated based on expert survey.•Generic consensus process is translatable to other disciplines.
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.
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.
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. • Heterogeneity in human fear conditioning readouts limits comparability of results. • We report a multi-laboratory consensus on evaluation of readouts. • Literature review identifies crucial design elements for calibration experiments. • 25 design elements are formulated based on expert survey. • Generic consensus process is translatable to other disciplines.
ArticleNumber 105146
Author Milad, Mohammed
Herringa, Ryan J.
Jovanovic, Tanja
Schiller, Daniela
Lissek, Shmuel
Hamm, Alfons
Lonsdorf, Tina B.
Bach, Dominik R.
Sporrer, Juliana
van Reekum, Carien M.
Fullana, Miquel A.
Knight, David C.
Abend, Rany
Gee, Dylan G.
Morriss, Jayne
Dunsmoor, Joseph E.
Merz, Christian J.
Hartley, Catherine A.
Pine, Daniel S.
Beckers, Tom
Kalisch, Raffael
Olsson, Andreas
Gamer, Matthias
Phelps, Elizabeth A.
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  email: d.bach@uni-bonn.de
  organization: Wellcome Centre for Human Neuroimaging and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, United Kingdom
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  givenname: Juliana
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  organization: Wellcome Centre for Human Neuroimaging and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, United Kingdom
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  surname: Abend
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  organization: KU Leuven, Faculty of Psychology and Educational Sciences/Leuven Brain Institute, Leuven, Belgium
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  organization: Institut d′Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, & Adult Psychiatry and Psychology Department, Institute of Neurosciences, Hospital Clínic, Barcelona, Spain
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  surname: Gee
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  organization: Yale University, Department of Psychology, New Haven, CT, USA
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  surname: Hamm
  fullname: Hamm, Alfons
  organization: Department of Psychology, University of Greifswald, Germany
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  surname: Hartley
  fullname: Hartley, Catherine A.
  organization: New York University, Department of Psychology, New York, NY, USA
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  organization: Department of Psychiatry, University of Wisconsin School of Medicine & Public Health, USA
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  surname: Jovanovic
  fullname: Jovanovic, Tanja
  organization: Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA
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  surname: Kalisch
  fullname: Kalisch, Raffael
  organization: Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), Johannes Gutenberg University Medical Center, Mainz, Germany; and Leibniz Institute for Resilience Research (LIR), Mainz, Germany
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  organization: University of Alabama at Birmingham, Department of Psychology, Birmingham, AL, USA
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  organization: Clinical Science and Psychopathology Research Program, Department of Psychology, University of Minnesota, Minneapolis, MN, USA
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  organization: University Medical Center Hamburg-Eppendorf, Institute of Systems Neuroscience, Hamburg, Germany
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  organization: Ruhr University Bochum, Faculty of Psychology, Institute of Cognitive Neuroscience, Department of Cognitive Psychology, Bochum, Germany
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  surname: Milad
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  organization: School of Psychology and Clinical Language Sciences, University of Reading, United Kingdom
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  organization: Department of Psychology, Harvard University, 52 Oxford St., Cambridge, MA, USA
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  organization: National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA
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  givenname: Andreas
  surname: Olsson
  fullname: Olsson, Andreas
  organization: Karolinska Institutet, Department of Clinical Neuroscience, Division of Psychology, Stockholm, Sweden
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  givenname: Carien M.
  surname: van Reekum
  fullname: van Reekum, Carien M.
  organization: School of Psychology and Clinical Language Sciences, University of Reading, United Kingdom
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  givenname: Daniela
  surname: Schiller
  fullname: Schiller, Daniela
  organization: Friedman Brain Institute, Department of Neuroscience, Department of Psychiatry, Icahn School of Medicine at Mt. Sinai, New York, NY, USA
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Keywords Experimental design
Calibration design
Metrology
Experiment-based calibration
Multi-laboratory consensus
Measurement theory
Human fear conditioning
Language English
License This is an open access article under the CC BY license.
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Snippet Fear conditioning is a widely used laboratory model to investigate learning, memory, and psychopathology across species. The quantification of learning in this...
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SubjectTerms Calibration
Calibration design
Experiment-based calibration
Experimental design
Fear
Human fear conditioning
Humans
Learning
Measurement theory
Medicin och hälsovetenskap
Metrology
Multi-laboratory consensus
Title Consensus design of a calibration experiment for human fear conditioning
URI https://dx.doi.org/10.1016/j.neubiorev.2023.105146
https://www.ncbi.nlm.nih.gov/pubmed/36990370
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