Why the study?
Interpreting neural responses during task fMRI remains challenging, and modern psychometric tools had not been used to evaluate measurement properties of monetary incentive delay task fMRI data.
The study demonstrates a need to evaluate theoretical frameworks for popular fMRI task designs like the MID task to improve the interpretation of brain-behavior associations.
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MID task fMRI requires psychometric scrutiny in adolescents; leaves open reliable reward-processing interpretation in neurodevelopmental research.
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 [Agemean 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 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.
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Demidenko et al. (2023) studied this question.
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