Models of Impulsivity with a Focus on Waiting Impulsivity: Translational Potential for Neuropsychiatric Disorders

Voon, Valerie

doi:10.1007/s40429-014-0036-5

Cited by 45 publications

(36 citation statements)

References 61 publications

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“…SDI demonstrated similar activations but most robustly to drug‐related cues, where they further showed increased activation in brain areas that encode motivation and emotional salience (e.g., amygdala, OFC). Greater activation to drug incentives in these regions was accompanied by elevated premature responding in the active users, suggesting that incentive salience was driving this behavior, consistent with studies in experimental animals and in other addiction‐related clinical populations (Dalley & Ersche, ; Voon, ).…”

Section: Discussionsupporting

confidence: 80%

“…Premature responding predicts the transition to compulsive cocaine‐taking in rodents, suggesting it could also be a vulnerability factor (Belin et al, 2008). Recent studies using a specialized paradigm adapted from the animal literature have begun to make inroads, demonstrating increased premature responding in abstinent SDIs (Voon, ). Greater premature responding has also been reported for tobacco smokers, cannabis users, and binge drinkers (Mechelmans et al, 2017; Morris et al, ; Sanchez‐Roige et al, 2014; Voon et al, 2016) reinforcing the importance of this measure to addiction more broadly.…”

Section: Introductionmentioning

confidence: 99%

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Network failures: When incentives trigger impulsive responses

Zhukovsky

Morein‐Zamir

Meng

et al. 2020

Human Brain Mapping

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Adequate control of impulsive urges to act is demanded in everyday life but is impaired in neuropsychiatric conditions such as stimulant use disorder. Despite intensive research it remains unclear whether failures in impulse control are caused by impaired suppression of behavior or by the over invigoration of behavior by stimuli associated with salient incentives such as drugs, food, and money. We investigated failures in impulse control using functional magnetic resonance imaging (fMRI) to map the neural correlates of premature (impulsive) responses during the anticipation phase of the Monetary Incentive Delay (MID) task in healthy controls (HC), stimulant-dependent individuals (SDIs), and their unaffected first-degree siblings (SIB). We combined task-based fMRI analyses with dynamic causal modeling to show that failures of impulse control were associated with interactions between cinguloopercular and dorsal striatal networks regardless of group status and incentive type.We further report that group-specific incentive salience plays a critical role in modulating impulsivity in SDIs since drug-related incentives specifically increased premature responding and shifted task modulation away from the dorsal striatal network to the cingulo-opercular network. Our findings thus indicate that impulsive actions are elicited by salient personally-relevant incentive stimuli and those such slips of action recruit a distinct fronto-striatal network.

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Section: Discussionsupporting

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Network failures: When incentives trigger impulsive responses

Zhukovsky

Morein‐Zamir

Meng

et al. 2020

Human Brain Mapping

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“…A potential limitation of this study is that while we investigate reflection impulsivity and temporal discounting, we cannot assess all other postulated aspects of impulsivity, such as motor impulsivity and risk taking [36-38]. We have, however, found no correlation between the NoGo scores of the FAB and the beads task, making motor impulsivity as the main trigger for poor performance on the beads task unlikely.…”

Section: Discussionmentioning

confidence: 92%

Jumping to conclusions in untreated patients with Parkinson's disease

et al. 2016

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Background Jumping to conclusions due to impulsivity has been shown to be a sensitive marker for dopamine dysregulation and addictive behaviour patterns in treated patients with Parkinson's disease (PD). It is unknown whether drug naïve PD patients, who have never received dopaminergic therapy also have deficits in information sampling. Methods Twenty five de novo PD patients and twenty matched healthy controls were recruited and tested on the beads task, which is a validated information sampling task to assess reflection impulsivity and a temporal discounting questionnaire. Results Patients gathered significantly less information and made more irrational choices than matched controls. There was, however, no group difference on the temporal discounting questionnaire. Conclusions Poor information sampling and irrational decision making may be an inherent component of the neuropsychological deficit in Parkinson's disease. These findings suggest that underlying impulsivity detected by a metric task is common in de novo PD.

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“…Finally, we do not know whether the findings in relation to ADHD and depressive symptoms are limited to the use of our hypothetical DD task, or whether the same results would have emerged if we had used an experiential DD task, or tasks that tap into other forms of impulsivity, such as waiting impulsivity, or reflection impulsivity (see e.g. Voon, ).…”

Section: Discussionmentioning

confidence: 99%

Planning to make economic decisions in the future, but choosing impulsively now: are preference reversals related to symptoms of ADHD and depression?

Mies

Water

Scheres

2016

Int J Methods Psych Res

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A preference for smaller immediate rewards over larger delayed rewards (delay discounting, DD) is common in attention deficit hyperactivity disorder (ADHD), but rarely investigated in depression. Whether this preference is due to sensitivity to reward immediacy or delay aversion remains unclear. To investigate this, we examined whether ADHD and depressive symptoms are associated with preference reversals: a switch from smaller immediate rewards to larger delayed rewards when smaller rewards are also delayed. We also examined whether these symptoms differentially affect DD of losses. In Study 1 undergraduates completed a questionnaire about ADHD symptoms, and performed a hypothetical DD task. In the NOW condition, participants were presented with choices between a small reward available today and a large reward available after one year. In the FUTURE condition both rewards were delayed with +1 year. In Study 2 undergraduates completed questionnaires about ADHD and depressive symptoms and performed a DD task with gains and losses. Participants showed preference reversals in both studies and tasks. Losses were less steeply discounted than gains. ADHD and depressive symptoms did not influence these effects. Depressive symptoms, but not ADHD symptoms, were associated with less economic choices in general. These findings suggest that impulsive choice in depression is not explained by sensitivity to reward immediacy. Copyright © 2016 John Wiley & Sons, Ltd.

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Models of Impulsivity with a Focus on Waiting Impulsivity: Translational Potential for Neuropsychiatric Disorders

Cited by 45 publications

References 61 publications

Network failures: When incentives trigger impulsive responses

Network failures: When incentives trigger impulsive responses

Jumping to conclusions in untreated patients with Parkinson's disease

Planning to make economic decisions in the future, but choosing impulsively now: are preference reversals related to symptoms of ADHD and depression?

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