Consensus design of a calibration experiment for human fear conditioning

Standard

Consensus design of a calibration experiment for human fear conditioning. / 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.

In: NEUROSCI BIOBEHAV R, Vol. 148, 05.2023, p. 105146.

Research output: SCORING: Contribution to journalSCORING: Review articleResearch

Harvard

Bach, DR, Sporrer, J, Abend, R, Beckers, T, Dunsmoor, JE, Fullana, MA, Gamer, M, Gee, DG, Hamm, A, Hartley, CA, Herringa, RJ, Jovanovic, T, Kalisch, R, Knight, DC, Lissek, S, Lonsdorf, TB, Merz, CJ, Milad, M, Morriss, J, Phelps, EA, Pine, DS, Olsson, A, van Reekum, CM & Schiller, D 2023, 'Consensus design of a calibration experiment for human fear conditioning', NEUROSCI BIOBEHAV R, vol. 148, pp. 105146. https://doi.org/10.1016/j.neubiorev.2023.105146

APA

Bach, D. R., Sporrer, J., Abend, R., Beckers, T., Dunsmoor, J. E., Fullana, M. A., Gamer, M., Gee, D. G., Hamm, A., Hartley, C. A., Herringa, R. J., Jovanovic, T., Kalisch, R., Knight, D. C., Lissek, S., Lonsdorf, T. B., Merz, C. J., Milad, M., Morriss, J., ... Schiller, D. (2023). Consensus design of a calibration experiment for human fear conditioning. NEUROSCI BIOBEHAV R, 148, 105146. https://doi.org/10.1016/j.neubiorev.2023.105146

Vancouver

Bach DR, Sporrer J, Abend R, Beckers T, Dunsmoor JE, Fullana MA et al. Consensus design of a calibration experiment for human fear conditioning. NEUROSCI BIOBEHAV R. 2023 May;148:105146. https://doi.org/10.1016/j.neubiorev.2023.105146

Bibtex

@article{79cd29e717694ba79cf36a21ffe11eb1,
title = "Consensus design of a calibration experiment for human fear conditioning",
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 = "Humans, Calibration, Learning, Fear",
author = "Bach, {Dominik R} and Juliana Sporrer and Rany Abend and Tom Beckers and Dunsmoor, {Joseph E} and Fullana, {Miquel A} and Matthias Gamer and Gee, {Dylan G} and Alfons Hamm and Hartley, {Catherine A} and Herringa, {Ryan J} and Tanja Jovanovic and Raffael Kalisch and Knight, {David C} and Shmuel Lissek and Lonsdorf, {Tina B} and Merz, {Christian J} and Mohammed Milad and Jayne Morriss and Phelps, {Elizabeth A} and Pine, {Daniel S} and Andreas Olsson and {van Reekum}, {Carien M} and Daniela Schiller",
note = "Copyright {\textcopyright} 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.",
year = "2023",
month = may,
doi = "10.1016/j.neubiorev.2023.105146",
language = "English",
volume = "148",
pages = "105146",
journal = "NEUROSCI BIOBEHAV R",
issn = "0149-7634",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - Consensus design of a calibration experiment for human fear conditioning

AU - Bach, Dominik R

AU - Sporrer, Juliana

AU - Abend, Rany

AU - Beckers, Tom

AU - Dunsmoor, Joseph E

AU - Fullana, Miquel A

AU - Gamer, Matthias

AU - Gee, Dylan G

AU - Hamm, Alfons

AU - Hartley, Catherine A

AU - Herringa, Ryan J

AU - Jovanovic, Tanja

AU - Kalisch, Raffael

AU - Knight, David C

AU - Lissek, Shmuel

AU - Lonsdorf, Tina B

AU - Merz, Christian J

AU - Milad, Mohammed

AU - Morriss, Jayne

AU - Phelps, Elizabeth A

AU - Pine, Daniel S

AU - Olsson, Andreas

AU - van Reekum, Carien M

AU - Schiller, Daniela

N1 - Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

PY - 2023/5

Y1 - 2023/5

N2 - 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.

AB - 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.

KW - Humans

KW - Calibration

KW - Learning

KW - Fear

U2 - 10.1016/j.neubiorev.2023.105146

DO - 10.1016/j.neubiorev.2023.105146

M3 - SCORING: Review article

C2 - 36990370

VL - 148

SP - 105146

JO - NEUROSCI BIOBEHAV R

JF - NEUROSCI BIOBEHAV R

SN - 0149-7634

ER -