A multi-sample evaluation of the measurement structure and function of the modified monetary incentive delay task in adolescents.

Autor: Demidenko MI; Department of Psychology, Stanford University, Stanford, United States. Electronic address: demidenm@stanford.edu., Mumford JA; Department of Psychology, Stanford University, Stanford, United States., Ram N; Department of Psychology, Stanford University, Stanford, United States., Poldrack RA; Department of Psychology, Stanford University, Stanford, United States.
Jazyk: angličtina
Zdroj: Developmental cognitive neuroscience [Dev Cogn Neurosci] 2024 Feb; Vol. 65, pp. 101337. Date of Electronic Publication: 2023 Dec 28.
DOI: 10.1016/j.dcn.2023.101337
Abstrakt: Interpreting the neural response elicited during task functional magnetic resonance imaging (fMRI) remains a challenge in neurodevelopmental research. The monetary incentive delay (MID) task is an fMRI reward processing task that is extensively used in the literature. However, modern psychometric tools have not been used to evaluate measurement properties of the MID task fMRI data. The current study uses data for a similar task design across three adolescent samples (N = 346 [Age mean 12.0; 44 % Female]; N = 97 [19.3; 58 %]; N = 112 [20.2; 38 %]) to evaluate multiple measurement properties of fMRI responses on the MID task. Confirmatory factor analysis (CFA) is used to evaluate an a priori theoretical model for the task and its measurement invariance across three samples. Exploratory factor analysis (EFA) is used to identify the data-driven measurement structure across the samples. CFA results suggest that the a priori model is a poor representation of these MID task fMRI data. Across the samples, the data-driven EFA models consistently identify a six-to-seven factor structure with run and bilateral brain region factors. This factor structure is moderately-to-highly congruent across the samples. Altogether, these findings demonstrate a need to evaluate theoretical frameworks for popular fMRI task designs to improve our understanding and interpretation of brain-behavior associations.
Competing Interests: Declaration of Competing Interest The authors declare that they have no conflicts of interest.
(Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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