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 in | Neuroscience and biobehavioral reviews Vol. 148; p. 105146 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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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. |
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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. |
Author_xml | – sequence: 1 givenname: Dominik R. surname: Bach fullname: Bach, Dominik R. 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 – sequence: 2 givenname: Juliana surname: Sporrer fullname: Sporrer, Juliana organization: Wellcome Centre for Human Neuroimaging and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, United Kingdom – sequence: 3 givenname: Rany surname: Abend fullname: Abend, Rany organization: National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA – sequence: 4 givenname: Tom surname: Beckers fullname: Beckers, Tom organization: KU Leuven, Faculty of Psychology and Educational Sciences/Leuven Brain Institute, Leuven, Belgium – sequence: 5 givenname: Joseph E. surname: Dunsmoor fullname: Dunsmoor, Joseph E. organization: Department of Psychiatry and Behavioral Sciences, University of Texas at Austin, USA – sequence: 6 givenname: Miquel A. surname: Fullana fullname: Fullana, Miquel A. organization: Institut d′Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), CIBERSAM, & Adult Psychiatry and Psychology Department, Institute of Neurosciences, Hospital Clínic, Barcelona, Spain – sequence: 7 givenname: Matthias surname: Gamer fullname: Gamer, Matthias organization: Julius-Maximilians-University of Würzburg, Department of Psychology, Würzburg, Germany – sequence: 8 givenname: Dylan G. surname: Gee fullname: Gee, Dylan G. organization: Yale University, Department of Psychology, New Haven, CT, USA – sequence: 9 givenname: Alfons surname: Hamm fullname: Hamm, Alfons organization: Department of Psychology, University of Greifswald, Germany – sequence: 10 givenname: Catherine A. surname: Hartley fullname: Hartley, Catherine A. organization: New York University, Department of Psychology, New York, NY, USA – sequence: 11 givenname: Ryan J. surname: Herringa fullname: Herringa, Ryan J. organization: Department of Psychiatry, University of Wisconsin School of Medicine & Public Health, USA – sequence: 12 givenname: Tanja surname: Jovanovic fullname: Jovanovic, Tanja organization: Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, USA – sequence: 13 givenname: Raffael 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 – sequence: 14 givenname: David C. surname: Knight fullname: Knight, David C. organization: University of Alabama at Birmingham, Department of Psychology, Birmingham, AL, USA – sequence: 15 givenname: Shmuel surname: Lissek fullname: Lissek, Shmuel organization: Clinical Science and Psychopathology Research Program, Department of Psychology, University of Minnesota, Minneapolis, MN, USA – sequence: 16 givenname: Tina B. surname: Lonsdorf fullname: Lonsdorf, Tina B. organization: University Medical Center Hamburg-Eppendorf, Institute of Systems Neuroscience, Hamburg, Germany – sequence: 17 givenname: Christian J. surname: Merz fullname: Merz, Christian J. organization: Ruhr University Bochum, Faculty of Psychology, Institute of Cognitive Neuroscience, Department of Cognitive Psychology, Bochum, Germany – sequence: 18 givenname: Mohammed surname: Milad fullname: Milad, Mohammed organization: Department of Psychiatry and Neuroscience Institute, NYU Grossman School of Medicine, New York, NY, USA – sequence: 19 givenname: Jayne surname: Morriss fullname: Morriss, Jayne organization: School of Psychology and Clinical Language Sciences, University of Reading, United Kingdom – sequence: 20 givenname: Elizabeth A. surname: Phelps fullname: Phelps, Elizabeth A. organization: Department of Psychology, Harvard University, 52 Oxford St., Cambridge, MA, USA – sequence: 21 givenname: Daniel S. surname: Pine fullname: Pine, Daniel S. organization: National Institute of Mental Health Intramural Research Program, Bethesda, MD, USA – sequence: 22 givenname: Andreas surname: Olsson fullname: Olsson, Andreas organization: Karolinska Institutet, Department of Clinical Neuroscience, Division of Psychology, Stockholm, Sweden – sequence: 23 givenname: Carien M. surname: van Reekum fullname: van Reekum, Carien M. organization: School of Psychology and Clinical Language Sciences, University of Reading, United Kingdom – sequence: 24 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 |
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