Interactions Between Methodological and Interindividual Variability: How Monetary Incentive Delay (MID) Task Contrast Maps Vary and Impact Associations with Behavior. Article Swipe
Michael I. Demidenko
,
Gorugantula V S J Karthik
,
Alexander Weigard
,
Hyesue Jang
,
Andrew Jahn
,
Edward D. Huntley
,
Daniel P. Keating
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.31234/osf.io/9fasc
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.31234/osf.io/9fasc
Phenomena related to positive emotional valence and reward responsiveness have been extensively studied in psychology. These constructs have been linked to midbrain dopaminergic pathways central to the literature on psychopathologies and development, and their measurement is a key interest in task-based fMRI. One such task, used for almost twenty years, is the Monetary Incentive Delay (MID) task. By cueing and delivering performance contingent reward, this task has been demonstrated to elicit robust and distinct activation of neural circuits involved in different phases of reward responsiveness (e.g. anticipation and outcome). Despite the broad application of the MID task, systematic evaluations of common task contrasts have been limited to between study comparisons of mean level (or group level) activation maps. In this study, we systematically examine within-task and between-contrast differences in MID task activation maps and how these differences impact inferences about their correlations with psychological characteristics. In a sample of 104 participants (Age Mean = 19.3, SD = 1.3; Female 57%), we evaluate similarities between contrasts in group- and individual-level activation maps, region-of-interest activations and their correlations with psychological characteristics. Our findings demonstrate more similarities than differences between positive and negative cues during the anticipation contrast, dissimilarity between some positive anticipation contrasts, a robust deactivation effect in the outcome phase, and behavioral associations that are less robust than previously thought. This work has practical implications for helping researchers interpret prior MID studies and make more informed a priori decisions about contrasts to focus on in future work. Consistent with other recent findings from large neuroimaging samples, it also suggests that researchers using the MID to identify brain-behavior relationships may have to more carefully specify their contrasts in advance in order to reliably detect small, variable effects.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.31234/osf.io/9fasc
- OA Status
- gold
- References
- 114
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4253554319Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.31234/osf.io/9fascDigital Object Identifier
- Title
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Interactions Between Methodological and Interindividual Variability: How Monetary Incentive Delay (MID) Task Contrast Maps Vary and Impact Associations with Behavior.Work title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-03-31Full publication date if available
- Authors
-
Michael I. Demidenko, Gorugantula V S J Karthik, Alexander Weigard, Hyesue Jang, Andrew Jahn, Edward D. Huntley, Daniel P. KeatingList of authors in order
- Landing page
-
https://doi.org/10.31234/osf.io/9fascPublisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.31234/osf.io/9fascDirect OA link when available
- Concepts
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Anticipation (artificial intelligence), Psychology, Contrast (vision), Task (project management), Cognitive psychology, Incentive, Valence (chemistry), Social psychology, Developmental psychology, Computer science, Artificial intelligence, Management, Physics, Quantum mechanics, Economics, MicroeconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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114Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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