Shared and distinct neural activity during anticipation and outcome of win and loss: A meta-analysis of the monetary incentive delay task

Chen, Yu; Chaudhary, Shefali; Li, Chiang‐Shan R.

doi:10.1016/j.neuroimage.2022.119764

Cited by 22 publications

(26 citation statements)

References 103 publications

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“…However, post-hoc analyses found that observed effects of age, and the interaction between age and MDD, did not significantly differ between reward and loss anticipation contrasts. This is broadly consistent with prior meta-analytic evidence of little or no difference between the main effects of reward and loss anticipation 62–64 . Thus, the present results may instead reflect development of the neural response to outcome magnitude, or of development of cognitive control or attention to salient events, rather than development of the response to cue valence (i.e., reward vs. loss).…”

Section: Discussionsupporting

confidence: 89%

Accelerated neurodevelopment of reward anticipation processing in adolescent girls with depression

Baranger,

Lindenmuth,

Yoon

et al. 2023

Preprint

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Objective To test the hypothesis that depression is associated with differential neurodevelopment of reward circuitry in adolescence. Methods Adolescent girls (N=183, 58 with MDD in early or late adolescence) underwent MRI scans from ages 16-20 (1-4 scans/participant, 477 scans total) and completed a card-guessing fMRI task with monetary rewards. Mixed-effect models tested the effect of age and the moderating effect of MDD on whole-brain regional activation during reward anticipation. Results Eighty of 414 regions showed age effects (pFDR<0.05), consisting primarily of increasing activation with increasing age. Most significant regions were in dorsal attention, salience, and somatomotor networks, and also included the bilateral putamen, pallidum, and right nucleus accumbens. MDD moderated age effects in 40 regions (pFDR<0.05), including the right putamen, medial orbitofrontal cortex, and amygdala, and regions in control and dorsal attention networks. MDD x linear and quadratic age effects were negative, suggesting that MDD was associated with accelerated neurodevelopment. Conclusions Theories of reward processing's contribution to adolescent risk for depression focus primarily on core reward regions, yet a host of regions beyond these continue to develop during late adolescence. Findings demonstrate differing regional patterns of age-related changes in relation to MDD in girls, suggesting that depression involves disruption of a wide range of regions during reward anticipation processing across adolescence. Childhood and adolescent MDD is associated with accelerated neurodevelopment of attention and cognitive control regions during reward anticipation processing, which may have consequences both for cognitive function and the emergence of reward-system-specific disruptions.

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Section: Discussionsupporting

confidence: 89%

Accelerated neurodevelopment of reward anticipation processing in adolescent girls with depression

Baranger,

Lindenmuth,

Yoon

et al. 2023

Preprint

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“…For example, past meta-analyses of fMRI studies on reward anticipation (Diekhof, Kaps, Falkai, & Gruber, 2012;Knutson & Greer, 2008;Liu, Hairston, Schrier, & Fan, 2011;Oldham et al, 2018;Wilson et al, 2018) and loss/punishment processing (Dugré, Dumais, Bitar, & Potvin, 2018;Wilson et al, 2018) showed that both reliably involve the ventral striatum, amygdala, ventral tegmental area, thalamus, insula and anterior midcingulate cortex/pre-supplementary motor area. Indeed, the most recent meta-analysis found no significant differences in the recruitment of such regions between reward and loss anticipation (Chen, Chaudhary, & Li, 2022). Rather than what was previously theorized, findings from meta-analyses on positive emotional stimuli (Lindquist, Satpute, Wager, Weber, & Barrett, 2016;Mende-Siedlecki, Said, & Todorov, 2013;Stevens & Hamann, 2012) and negative emotional stimuli (Lindquist et al, 2016;Pozzi, Vijayakumar, Rakesh, & Whittle, 2021;Ran, Cao, & Chen, 2018;Stevens & Hamann, 2012;Tao, He, Lin, Liu, & Tao, 2021;Vytal & Hamann, 2010) suggest that most of these regions appear to be valence-general (Lindquist et al, 2016).…”

Section: Introductionmentioning

confidence: 78%

“…Over the past few years, several meta-analyses showed that two psychologically distinct constructs may rely on similar (or identical) neural maps (Chen et al, 2022;Lindquist et al, 2016). Using a data-driven method on a large number of published meta-analyses, we sought to identify common brain circuits across fMRI tasks.…”

Section: Comparison With Previous Data-driven Meta-analytic Networkmentioning

confidence: 99%

“…Indeed, across neuroimaging meta-analyses on emotions (in general or in discrete categories), many authors included "viewing emotional facial stimuli" which may have diluted the true effect of emotional response (Kober et al, 2008;Lindquist et al, 2016;Lindquist, Wager, Kober, Bliss-Moreau, & Barrett, 2012;Tao et al, 2021;Vytal & Hamann, 2010). Another possible explanation may be that previous meta-analyses on emotion (Lindquist et al, 2016), reward & punishment anticipation (Chen et al, 2022) as well as positive reward prediction error (Corlett, Mollick, & Kober, 2022) show similar activation in brain circuits involving the vmPFC, aMCC, aINS, dlPFC, basal ganglia, the amygdala as well as the midbrain. This could explain why the Affect/Reward map found by Bolt and colleagues (2020) mostly correlated with both our CN2 -Face Detection & our CN12 -Motivation Network.…”

Section: Comparison With Previous Data-driven Meta-analytic Networkmentioning

confidence: 99%

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Towards a Neurobiologically-driven Ontology of Mental Functions: A Data-driven Summary of the Twenty Years of Neuroimaging Meta-Analyses

Dugré

Potvin

2023

Preprint

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A persistent effort in neuroscience has been to pinpoint the neurobiological substrates that support mental processes. The Research Domain Criteria (RDoC) aims to develop a new framework based on fundamental neurobiological dimensions. However, results from several meta-analysis of task-based fMRI showed substantial spatial overlap between several mental processes including emotion and anticipatory processes, irrespectively of the valence. Consequently, there is a crucial need to better characterize the core neurobiological processes using a data-driven techniques, given that these analytic approaches can capture the core neurobiological processes across neuroimaging literature that may not be identifiable through expert-driven categories. Therefore, we sought to examine the main data-driven co-activation networks across the past 20 years of published meta-analyses on task-based fMRI studies. We manually extracted 19,822 coordinates from 1,347 identified meta-analytic experiments. A Correlation-Matrix-Based Hierarchical Clustering was conducted on spatial similarity between these meta-analytic experiments, to identify the main co-activation networks. Activation likelihood estimation was then used to identify spatially convergent brain regions across experiments in each network. Across 1,347 meta-analyses, we found 13 co-activation networks which were further characterized by various psychological terms and distinct association with receptor density maps and intrinsic functional connectivity networks. At a fMRI activation resolution, neurobiological processes seem more similar than different across various mental functions. We discussed the potential limitation of linking brain activation to psychological labels and investigated potential avenues to tackle this long-lasting research question.

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“…Reward delivers pleasure and drives motivated behaviors. Investigators have employed the monetary incentive delay task (MIDT) or card-guessing task to identify the neural responses to win and loss [ 12 , 13 ]. Individuals with depression relative to controls demonstrated altered reward-related activations [ 14 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Win and Loss Responses in the Monetary Incentive Delay Task Mediate the Link between Depression and Problem Drinking

Chen

Dhingra

et al. 2022

Brain Sciences

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Depression and alcohol misuse, frequently comorbid, are associated with altered reward processing. However, no study has examined whether and how the neural markers of reward processing are shared between depression and alcohol misuse. We studied 43 otherwise-healthy drinking adults in a monetary incentive delay task (MIDT) during fMRI. All participants were evaluated with the Alcohol Use Disorders Identification Test (AUDIT) and Beck’s Depression Inventory (BDI-II) to assess the severity of drinking and depression. We performed whole brain regressions against each AUDIT and BDI-II score to investigate the neural correlates and evaluated the findings at a corrected threshold. We performed mediation analyses to examine the inter-relationships between win/loss responses, alcohol misuse, and depression. AUDIT and BDI-II scores were positively correlated across subjects. Alcohol misuse and depression shared win-related activations in frontoparietal regions and parahippocampal gyri (PHG), and right superior temporal gyri (STG), as well as loss-related activations in the right PHG and STG, and midline cerebellum. These regional activities (β’s) completely mediated the correlations between BDI-II and AUDIT scores. The findings suggest shared neural correlates interlinking depression and problem drinking both during win and loss processing and provide evidence for co-morbid etiological processes of depressive and alcohol use disorders.

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Shared and distinct neural activity during anticipation and outcome of win and loss: A meta-analysis of the monetary incentive delay task

Cited by 22 publications

References 103 publications

Accelerated neurodevelopment of reward anticipation processing in adolescent girls with depression

Accelerated neurodevelopment of reward anticipation processing in adolescent girls with depression

Towards a Neurobiologically-driven Ontology of Mental Functions: A Data-driven Summary of the Twenty Years of Neuroimaging Meta-Analyses

Win and Loss Responses in the Monetary Incentive Delay Task Mediate the Link between Depression and Problem Drinking

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