Individual Differences in Cognitive Control Circuit Anatomy Link Sensation Seeking, Impulsivity, and Substance Use

Holmes, Avram J.; Hollinshead, Marisa O.; Roffman, Joshua L.; Smoller, Jordan W.; Buckner, Randy L.

doi:10.1523/jneurosci.3206-15.2016

Cited by 132 publications

(125 citation statements)

References 70 publications

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“…the age group we examined) [65]. Further, even in large healthy populations, the association between externalizing traits (and personality traits in general) and brain morphometric features is generally subtle [3],[4]. Third, CT can be adjusted by total brain volume (TBV)/intracranial volume (ICV), grey matter volume or not at all.…”

Section: Discussionmentioning

confidence: 99%

“…It is plausible that the addition of TBV as a covariate decreased our power to detect effects, or that adjusted CT values are more sensitive in revealing a relation between striatal DA responses and cortical morphometry. Indeed, there is little consensus as to whether TBV/ICV should [66] or should not [4],[67],[68] be included as a covariate in CT analyses in the context of substance use research. More broadly, there is limited agreement as to how CT should be analyzed (i.e., absolute vs .…”

Section: Discussionmentioning

confidence: 99%

“…Impulsive novelty seeking (NS) traits have been proposed to reflect individual differences in meso-striatal dopamine (DA) transmission [1],[2] and aspects of cortical morphometry, including grey matter volume and cortical thickness (CT) [3],[4]. The model is compelling.…”

Section: Introductionmentioning

confidence: 99%

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Is there a relation between novelty seeking, striatal dopamine release and frontal cortical thickness?

et al. 2017

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BackgroundNovelty-seeking (NS) and impulsive personality traits have been proposed to reflect an interplay between fronto-cortical and limbic systems, including the limbic striatum (LS). Although neuroimaging studies have provided some evidence for this, most are comprised of small samples and many report surprisingly large effects given the challenges of trying to relate a snapshot of brain function or structure to an entity as complex as personality. The current work tested a priori hypotheses about associations between striatal dopamine (DA) release, cortical thickness (CT), and NS in a large sample of healthy adults.MethodsFifty-two healthy adults (45M/7F; age: 23.8±4.93) underwent two positron emission tomography scans with [11C]raclopride (specific for striatal DA D2/3 receptors) with or without amphetamine (0.3 mg/kg, p.o.). Structural magnetic resonance image scans were acquired, as were Tridimensional Personality Questionnaire data. Amphetamine-induced changes in [11C]raclopride binding potential values (ΔBPND) were examined in the limbic, sensorimotor (SMS) and associative (AST) striatum. CT measures, adjusted for whole brain volume, were extracted from the dorsolateral sensorimotor and ventromedial/limbic cortices.ResultsBPND values were lower in the amphetamine vs. no-drug sessions, with the largest effect in the LS. When comparing low vs. high LS ΔBPND groups (median split), higher NS2 (impulsiveness) scores were found in the high ΔBPND group. Partial correlations (age and gender as covariates) yielded a negative relation between ASTS ΔBPND and sensorimotor CT; trends for inverse associations existed between ΔBPND values in other striatal regions and frontal CT. In other words, the greater the amphetamine-induced striatal DA response, the thinner the frontal cortex.ConclusionsThese data expand upon previously reported associations between striatal DA release in the LS and both NS related impulsiveness and CT in the largest sample reported to date. The findings add to the plausibility of these associations while suggesting that the effects are likely weaker than has been previously proposed.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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Is there a relation between novelty seeking, striatal dopamine release and frontal cortical thickness?

et al. 2017

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“…In morphometric studies, alcohol use is correlated with gray matter shrinkage in the cortical striatal limbic circuits, suggesting chronic, neurotoxic effects of alcohol on cerebral structures (Yang et al, 2016). On the other hand, evidence accumulates that cerebral gray matter volumes may represent neural markers of psychological traits that dispose individuals to problem drinking (Charpentier et al, 2016, Holmes et al, 2016, Luciana et al, 2013, Schilling et al, 2013). Thus, whether changes in cerebral morphometry reflect primarliy the effects of alcohol or may represent a trait marker of individual vulnerability to problem drinking remains to be investigated.…”

Section: Introductionmentioning

confidence: 99%

Sex differences in the interacting roles of impulsivity and positive alcohol expectancy in problem drinking: A structural brain imaging study

Ide

Zhornitsky

et al. 2017

NeuroImage: Clinical

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Alcohol expectancy and impulsivity are implicated in alcohol misuse. However, how these two risk factors interact to determine problem drinking and whether men and women differ in these risk processes remain unclear. In 158 social drinkers (86 women) assessed for Alcohol Use Disorder Identification Test (AUDIT), positive alcohol expectancy, and Barratt impulsivity, we examined sex differences in these risk processes. Further, with structural brain imaging, we examined the neural bases underlying the relationship between these risk factors and problem drinking. The results of general linear modeling showed that alcohol expectancy best predicted problem drinking in women, whereas in men as well as in the combined group alcohol expectancy and impulsivity interacted to best predict problem drinking. Alcohol expectancy was associated with decreased gray matter volume (GMV) of the right posterior insula in women and the interaction of alcohol expectancy and impulsivity was associated with decreased GMV of the left thalamus in women and men combined and in men alone, albeit less significantly. These risk factors mediated the correlation between GMV and problem drinking. Conversely, models where GMV resulted from problem drinking were not supported. These new findings reveal distinct psychological factors that dispose men and women to problem drinking. Although mediation analyses did not determine a causal link, GMV reduction in the insula and thalamus may represent neural phenotype of these risk processes rather than the consequence of alcohol consumption in non-dependent social drinkers. The results add to the alcohol imaging literature which has largely focused on dependent individuals and help elucidate alterations in brain structures that may contribute to the transition from social to habitual drinking.

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“…For instance, despite being etiologically and descriptively heterogenous, clinical diagnoses have been well studied psychometrically and have acceptable to excellent reliability, with notable exceptions (depression, generalized anxiety(92). However, other than structural neural phenotypes, which have evidence of robust reliability (93,94), the reliability of many neuroimaging phenotypes has not been rigorously investigated with inconsistent effects reported and conclusions unclear (95–99). …”

Section: Single Variant Approachesmentioning

confidence: 99%

Imaging Genetics and Genomics in Psychiatry: A Critical Review of Progress and Potential

Bogdan¹,

Salmeron

Carey³

et al. 2017

Biological Psychiatry

150

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Imaging genetics and genomics research has begun to provide insight into the molecular and genetic architecture of neural phenotypes and the neural mechanisms through which genetic risk for psychopathology may emerge. As it approaches its third decade, imaging genetics is confronted by many challenges including the proliferation of studies using small sample sizes and diverse designs, limited replication, problems with harmonization of neural phenotypes for meta-analysis, unclear mechanisms, and evidence that effect sizes may be more modest than originally posited, with increasing evidence of polygenicity. These concerns have encouraged the field to grow in many new directions including the development of consortia and large scale data collection projects as well as the use of novel methods (e.g., polygenic approaches, machine learning), which enhance the quality of imaging genetic studies, but also introduce new challenges. Here, we critically review progress in imaging genetics and offer suggestions and highlight potential pitfalls of novel approaches. Ultimately, the strength of imaging genetics and genomics lies in its translational and integrative potential with other research approaches (e.g., non-human animal models, psychiatric genetics, pharmacologic challenge) to elucidate brain-based pathways that give rise to the vast individual differences in behavior as well as risk for psychopathology.

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Individual Differences in Cognitive Control Circuit Anatomy Link Sensation Seeking, Impulsivity, and Substance Use

Cited by 132 publications

References 70 publications

Is there a relation between novelty seeking, striatal dopamine release and frontal cortical thickness?

Is there a relation between novelty seeking, striatal dopamine release and frontal cortical thickness?

Sex differences in the interacting roles of impulsivity and positive alcohol expectancy in problem drinking: A structural brain imaging study

Imaging Genetics and Genomics in Psychiatry: A Critical Review of Progress and Potential

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