2017
DOI: 10.1007/s40429-017-0141-3
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Neural Correlates of Social Influence Among Cannabis Users

Abstract: Purpose of review Although peer influence is an important factor in the initiation and maintenance of cannabis use, few studies have investigated the neural correlates of peer influence among cannabis users. The current review summarizes research on the neuroscience of social influence in cannabis users, with the goal of highlighting gaps in the literature and the need for future research. Recent findings Brain regions underlying peer influence may function differently in cannabis users. Compared to non-usin… Show more

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Cited by 5 publications
(6 citation statements)
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“…Moreover, employing a fully data-driven network approach that combines the ICC with a pattern classification demonstrated that the general connectivity patterns of the VS and DS can reliably discriminate between cannabis-dependent individuals and controls. As such, the present data are in line with previous studies reporting altered VS and DS activity in chronic cannabis users during drug cue reactivity, reward processing (Weinstein et al, 2016;Wrege et al, 2014;Yanes et al, 2018) and social decision making (Gilman, 2017).…”
Section: Discussionsupporting
confidence: 93%
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“…Moreover, employing a fully data-driven network approach that combines the ICC with a pattern classification demonstrated that the general connectivity patterns of the VS and DS can reliably discriminate between cannabis-dependent individuals and controls. As such, the present data are in line with previous studies reporting altered VS and DS activity in chronic cannabis users during drug cue reactivity, reward processing (Weinstein et al, 2016;Wrege et al, 2014;Yanes et al, 2018) and social decision making (Gilman, 2017).…”
Section: Discussionsupporting
confidence: 93%
“…Red color indicated stronger functional connectivity with VS than DS and blue color indicated stronger functional connectivity with DS than VS. All images were thresholded at p < .05, TFCE corrected (Weinstein et al, 2016;Wrege et al, 2014;Yanes et al, 2018) and social decision making (Gilman, 2017). In line with animal and human data that emphasize the specific contributions of the VS and DS, subregion-specific differences between cannabis users and controls mapped to the nucleus accumbens and the caudate nucleus.…”
Section: Discussionmentioning
confidence: 99%
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“…Moreover, employing a fully-data driven network approach that combines the intrinsic connectivity contrast with a pattern classification demonstrated that the general connectivity patterns of the VS and DS can reliably discriminate between cannabis-dependent individuals and controls. As such, the present data are in line with previous studies reporting altered ventral and dorsal striatal activity in chronic cannabis users during drug cue reactivity, reward processing (Weinstein et al, 2016;Wrege et al, 2014;Yanes et al, 2018) and social decision making (Gilman, 2017). Further, our data emphasize the important contribution of striatal maladaptations in addiction which might reflect a common pathological pathway across addictive disorders.…”
Section: Discussionsupporting
confidence: 92%
“…Despite the important contributions of these studies to characterize mechanisms of cannabis dependence, the task-based approach does not allow direct evaluation of the ventral to dorsal striatal shift due to (1) limitation of task-based fMRI to regions engaged by the experimental paradigm (Weinstein et al, 2016), and (2) stimulus-and context-dependence of striatal alterations in cannabis dependence (Gilman, 2017;Zimmermann et al, 2017b). Resting state fMRI functional connectivity (rsfMRI-FC) approaches allow a more holistic assessment of functional alterations in the absence of task or contextual modulation.…”
Section: Introductionmentioning
confidence: 99%