Accumbens functional connectivity during reward mediates sensation-seeking and alcohol use in high-risk youth

Weiland, Barbara J.; Welsh, Robert C.; Yau, Wai Ying Wendy; Zucker, Robert A.; Zubieta, Jon Kar; Heitzeg, Mary M.

doi:10.1016/j.drugalcdep.2012.08.019

Cited by 94 publications

(85 citation statements)

References 68 publications

(80 reference statements)

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“…Larger-scale studies of the type typically conducted by survey researchers and demographers often contain rich longitudinal measures of behavior and experience. Presently, it is rare for these types of data to be examined in dialogue with neuroimaging data [although a growing number of studies have scanned subsamples of participants within specific existing longitudinal or archival studies (64)(65)(66)]. One large-scale example that might be considered a model for integration of brain imaging into existing representative samples is the National Institutes of Health Pediatric MRI Database (NIH-PD) (6,67), which used populationbased sampling at six sites, based on the 2000 census data.…”

Section: Integrative Frameworkmentioning

confidence: 99%

What is a representative brain? Neuroscience meets population science

Falk

Hyde

Mitchell³

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

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The last decades of neuroscience research have produced immense progress in the methods available to understand brain structure and function. Social, cognitive, clinical, affective, economic, communication, and developmental neurosciences have begun to map the relationships between neuro-psychological processes and behavioral outcomes, yielding a new understanding of human behavior and promising interventions. However, a limitation of this fast moving research is that most findings are based on small samples of convenience. Furthermore, our understanding of individual differences may be distorted by unrepresentative samples, undermining findings regarding brain-behavior mechanisms. These limitations are issues that social demographers, epidemiologists, and other population scientists have tackled, with solutions that can be applied to neuroscience. By contrast, nearly all social science disciplines, including social demography, sociology, political science, economics, communication science, and psychology, make assumptions about processes that involve the brain, but have incorporated neural measures to differing, and often limited, degrees; many still treat the brain as a black box. In this article, we describe and promote a perspective-population neuroscience-that leverages interdisciplinary expertise to (i) emphasize the importance of sampling to more clearly define the relevant populations and sampling strategies needed when using neuroscience methods to address such questions; and (ii) deepen understanding of mechanisms within population science by providing insight regarding underlying neural mechanisms. Doing so will increase our confidence in the generalizability of the findings. We provide examples to illustrate the population neuroscience approach for specific types of research questions and discuss the potential for theoretical and applied advances from this approach across areas.neuroimaging | life course | statistics | survey methodology | physics Why Population Neuroscience? How do biology, social situations, and the broader environmental context interact to guide behavior, health, and development? This question is fundamental to most, if not all, social and behavioral sciences. We argue that to effectively address the many topics that stem from this larger question across disciplines, it is necessary to (i) bring a "population perspective" to neuroscience and (ii) leverage neuroscience tools within population sciences, which are subdisciplines of many fields, areas, and departments focused on documenting and understanding the dynamics of human populations, including outcomes such as health, well-being, behavior, etc.

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Section: Integrative Frameworkmentioning

confidence: 99%

What is a representative brain? Neuroscience meets population science

Falk

Hyde

Mitchell³

et al. 2013

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

231

191

View full text Add to dashboard Cite

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“…The nucleus accumbens-precuneus connectivity has been found to be associated with a sensation-seeking behavior and alcohol use among the youth with a family history of alcoholism [47] . The precuneus is involved in not only cue-induced alcohol craving [48] but also online gaming urges [49] .…”

Section: The Functional Connection Of the Nucleus Accumbensmentioning

confidence: 99%

Altered Functional Connectivity of the Insula and Nucleus Accumbens in Internet Gaming Disorder: A Resting State fMRI Study

Chen¹,

Yen

Wang

et al. 2016

Eur Addict Res

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Aims: A possible addiction mechanism has been represented by altered functional connectivity (FC) in the resting state. The aim of this study was to evaluate the FCs of the insula and nucleus accumbens among subjects with Internet gaming disorder (IGD). Methods: We recruited 30 males with IGD and 30 controls and evaluated their FC using functional magnetic imaging scanning under resting, a state with relaxation, closed eyes, with inducement to think of nothing systematically, become motionless, and instructed not to fall asleep. Results: Subjects with IGD had a lower FC with the left insula over the left dorsolateral prefrontal cortex (DLPFC) and orbital frontal lobe and a higher FC with the insula with the contralateral insula than controls. The inter-hemispheric insula connectivity positively correlated with impulsivity. Further, they had lower FC with the left nucleus accumbens over the left DLPFC and with the right nucleus accumbens over the left DLPFC, and insula and a higher FC with that over the right precuneus. Conclusion: The elevated inter-hemispheric insula FC is found to be associated with impulsivity and might explain why it is involved in IGD. The attenuated frontostriatal suggests that the emotion-driven gaming urge through nucleus accumbens could not be well regulated by the frontal lobe of subjects with IGD.

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“…Sensationseeking traits have been consistently linked to a variety of health risk behaviors, are frequently reported in individuals who use or abuse alcohol or other substances (Carlson, Johnson, & Jacobs, 2010;Charnigo et al, 2013;Ersche, Turton, Pradhan, Bullmore, & Robbins, 2010;Ersche et al, 2012Ersche et al, , 2013Fix et al, 2014;Hampson, Tildesley, Andrews, Barckley, & Peterson, 2013;Weiland et al, 2013), and have recently been linked to the use of new and emerging tobacco products in college students (Enofe, Berg, & Nehl, 2014). Predominant theories suggest that a desire to seek out novel experiences, having a preference to engage in pleasurable activities with high reward output, and being low on harm avoidance, which are all facets of sensation-seeking, may link substance use behavior to the use of new and emerging tobacco products (Cloninger, 1987;Finn, Sharkansky, Brandt, & Turcotte, 2000;Wills, Vaccaro, & McNamara, 1994).…”

mentioning

confidence: 99%