The Involvement of the Dopaminergic Midbrain and Cortico-Striatal-Thalamic Circuits in the Integration of Reward Prospect and Attentional Task Demands

Krebs, Ruth M.; Boehler, C. Nico; Roberts, Kenneth; Song, Allen W.; Woldorff, Marty G.

doi:10.1093/cercor/bhr134

Cited by 211 publications

(191 citation statements)

References 49 publications

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“…The present study also shows that the motivational stimulus value also modulates DMN deactivation independently of task demands since reward conditions are not cognitively harder than neutral ones. This result is consistent with a previous report which did ROI analyses to show that reward cues and cues anticipating high task demands deactivate specific DMN areas when compared to nonreward and low task demand cues (Krebs et al 2012). Overall, the pattern of the DMN results is consistent with the proposal that the suppression of this network is important for goal-directed externally-oriented cognition (Anticevic et al 2012;Spreng 2012).…”

Section: Discussionsupporting

confidence: 92%

A new window to understanding individual differences in reward sensitivity from attentional networks

et al. 2014

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Revista:Brain Structure and Function, 2014 Abstract:Existing evidence suggests that the presence of reward cues modifies the activity in attentional networks; however, the nature of these influences remains poorly understood. Here, we performed independent component analysis (ICA) in two fMRI datasets corresponding to two incentive delay tasks, which compared the response to reward (money and erotic pictures) and neutral cues, and yielded activations in the ventral striatum using a General Linear Model approach. Across both experiments, ICA revealed that both the right frontoparietal network and default mode network time courses were positively and negatively modulated by reward cues, respectively.Moreover, this dual neural response pattern was enhanced in individuals with strong reward sensitivity. Therefore, ICA may be a complementary tool to investigate the relevant role of attentional networks on reward processing, and to investigate reward sensitivity in normal and pathological populations.

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Section: Discussionsupporting

confidence: 92%

A new window to understanding individual differences in reward sensitivity from attentional networks

et al. 2014

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“…In the current study, the dlPFC encoded individual cue weights as well as combined SoE, indicating that this region may be directly involved in the cue integration process. This is consistent with prior reports demonstrating engagement of the dlPFC in evidence accumulation during perceptual decision-making (Gold and Shadlen, 2007;Heekeren et al, 2008), and encoding of ambiguity or difficulty in multi-attribute decision-making (Kahnt et al, 2011;Krebs et al, 2012). Our results further demonstrate involvement of the fronto-parietal control network in a feature-invariant evidence integration processes, possibly guiding attention to cues according to their weighted importance and tracking uncertainty in choices.…”

Section: Discussionsupporting

confidence: 92%

Probabilistic inference under time pressure leads to a cortical-to-subcortical shift in decision evidence integration

et al. 2017

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A B S T R A C TReal-life decision-making often involves combining multiple probabilistic sources of information under finite time and cognitive resources. To mitigate these pressures, people "satisfice", foregoing a full evaluation of all available evidence to focus on a subset of cues that allow for fast and "good-enough" decisions. Although this form of decision-making likely mediates many of our everyday choices, very little is known about the way in which the neural encoding of cue information changes when we satisfice under time pressure. Here, we combined human functional magnetic resonance imaging (fMRI) with a probabilistic classification task to characterize neural substrates of multi-cue decision-making under low (1500 ms) and high (500 ms) time pressure. Using variational Bayesian inference, we analyzed participants' choices to track and quantify cue usage under each experimental condition, which was then applied to model the fMRI data. Under low time pressure, participants performed nearoptimally, appropriately integrating all available cues to guide choices. Both cortical (prefrontal and parietal cortex) and subcortical (hippocampal and striatal) regions encoded individual cue weights, and activity linearly tracked trial-by-trial variations in the amount of evidence and decision uncertainty. Under increased time pressure, participants adaptively shifted to using a satisficing strategy by discounting the least informative cue in their decision process. This strategic change in decision-making was associated with an increased involvement of the dopaminergic midbrain, striatum, thalamus, and cerebellum in representing and integrating cue values. We conclude that satisficing the probabilistic inference process under time pressure leads to a cortical-to-subcortical shift in the neural drivers of decisions.

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“…This corresponds with recent findings that activity in a network comprising the midbrain, caudate, thalamus, and anterior midcingulate cortex reflects the degree of interaction between reward and difficulty, with greater recruitment of this network during demanding tasks that are rewarding. This circuit likely mediates the dopaminergic system so that attentional resources are allocated towards targets with greater expected personal value (Krebs et al, 2012), and is also involved in mediating general arousal during cognition, a function particularly dependent on the locus coeruleus (Sara and Bouret, 2012). Thus, this circuit may enhance the ability to attend to oneself when the self or selfprocessing is considered rewarding.…”

Section: Subcortical Contributions To Reward-mediated Attentionmentioning

confidence: 99%

Self-awareness in neurodegenerative disease relies on neural structures mediating reward-driven attention

Shany‐Ur

Lin

Rosen

et al. 2014

Brain

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Accurate self-awareness is essential for adapting one's tasks and goals to one's actual abilities. Patients with neurodegenerative diseases, particularly those with right frontal involvement, often present with poor self-awareness of their functional limitations that may exacerbate their already jeopardized decision-making and behaviour. We studied the structural neuroanatomical basis for impaired self-awareness among patients with neurodegenerative disease and healthy older adults. One hundred and twentyfour participants (78 patients with neurodegenerative diseases including Alzheimer's disease, behavioural variant frontotemporal dementia, right-temporal frontotemporal dementia, semantic variant and non-fluent variant primary progressive aphasia, and 46 healthy controls) described themselves on the Patient Competency Rating Scale, rating observable functioning across four domains (daily living activities, cognitive, emotional control, interpersonal). All participants underwent structural magnetic resonance imaging. Informants also described subjects' functioning on the same scale. Self-awareness was measured by comparing self and informant ratings. Group differences in discrepancy scores were analysed using general linear models, controlling for age, sex and disease severity. Compared with controls, patients with behavioural variant frontotemporal dementia overestimated their functioning in all domains, patients with Alzheimer's disease overestimated cognitive and emotional functioning, patients with right-temporal frontotemporal dementia overestimated interpersonal functioning, and patients with non-fluent aphasia overestimated emotional and interpersonal functioning. Patients with semantic variant aphasia did not overestimate functioning on any domain. To examine the neuroanatomic correlates of impaired self-awareness, discrepancy scores were correlated with brain volume using voxel-based morphometry. To identify the unique neural correlates of overlooking versus exaggerating deficits, overestimation and underestimation scores were analysed separately, controlling for age, sex, total intracranial volume and extent of actual functional decline. Atrophy related to overestimating one's functioning included bilateral, right greater than left frontal and subcortical regions, including dorsal superior and middle frontal gyri, lateral and medial orbitofrontal gyri, right anterior insula, putamen, thalamus, and caudate, and midbrain and pons. Thus, our patients' tendency to under-represent their functional decline was related to degeneration of domain-general dorsal frontal regions involved in attention, as well as orbitofrontal and subcortical regions likely involved in assigning a reward value to self-related processing and maintaining accurate self-knowledge. The anatomic correlates of underestimation (right rostral anterior cingulate cortex, uncorrected significance level) were distinct from overestimation and had a substantially smaller effect size. This suggests that underestimation or 'tarnishing' may be influ...

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The Involvement of the Dopaminergic Midbrain and Cortico-Striatal-Thalamic Circuits in the Integration of Reward Prospect and Attentional Task Demands

Cited by 211 publications

References 49 publications

A new window to understanding individual differences in reward sensitivity from attentional networks

A new window to understanding individual differences in reward sensitivity from attentional networks

Probabilistic inference under time pressure leads to a cortical-to-subcortical shift in decision evidence integration

Self-awareness in neurodegenerative disease relies on neural structures mediating reward-driven attention

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