Resting-state functional connectivity between the dorsal anterior cingulate cortex and thalamus is associated with risky decision-making in nicotine addicts

Wei, Zhengde; Yang, Nannan; Liu, Ying; Yang, Lizhuang; Wang, Ying; Long, Han; Zha, Rujing; Huang, Ruiqi; Zhang, Peng; Zhou, Yifeng; Zhang, Xiaochu

doi:10.1038/srep21778

Cited by 30 publications

(21 citation statements)

References 51 publications

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“…The extracted peak coordinates were { x, y, z } = {−42, 20, 5} (left insula), {39, 26, −8} (right insula), {−3, 17, 58} (dorsal ACC). These seed regions are spatially similar to salience network nodes recently identified during a risky decision-making task (Wei et al, 2016). Consequently, 5 mm radius spherical ROIs were centered on these peaks and used as seeds for whole brain seed-to-voxel connectivity analysis (Kelly et al, 2010) (Fig.…”

Section: Methodssupporting

confidence: 56%

Nicotinic modulation of salience network connectivity and centrality in schizophrenia

Smucny

Wylie

Kronberg

et al. 2017

Journal of Psychiatric Research

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Although functional abnormalities of the salience network are associated with schizophrenia, the acute effects of nicotine on its function and network dynamics during the resting state in patients are poorly understood. In this study, the effects of a 7 mg nicotine patch (vs. placebo) on salience network connectivity were examined in 17 patients with schizophrenia and 19 healthy subjects. We hypothesized abnormal connectivity between the salience network and other major networks (e.g. executive network) in patients under placebo administration and amelioration of this difference after nicotine. We also examined effects of nicotine on betweenness centrality (a measure of the influence of a region on information transfer throughout the brain) and local efficiency (a measure of local information transfer) of the network. A hybrid independent component analysis (ICA) / seed-based connectivity approach was implemented in which the salience network was extracted by ICA and cortical network peaks (anterior cingulate cortex (ACC), left and right insula) were used as seeds for whole-brain seed-to-voxel connectivity analysis. Significant drug X diagnosis interactions were observed between the ACC seed and superior parietal lobule and ventrolateral prefrontal cortex. A significant interaction effect was also observed between the left insula seed and middle cingulate cortex. During placebo conditions, abnormal connectivity predicted negative symptom severity and lower global functioning in patients. A significant drug X diagnosis interaction was also observed for betweenness centrality of the ACC. These results suggest that nicotine may target abnormalities in functional connectivity between salience and executive network areas in schizophrenia as well as affect the ability of the salience network to act as an integrator of global signaling in the disorder.

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Section: Methodssupporting

confidence: 56%

Nicotinic modulation of salience network connectivity and centrality in schizophrenia

Smucny

Wylie

Kronberg

et al. 2017

Journal of Psychiatric Research

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“…Cigarette smokers similarly showed reduced connectivity between the thalamus and the anterior cingulate cortex, with findings also showing reduced connectivity with the caudate and the dorsolateral PFC; the strength of the dorsolateral PFC-thalamus connectivity was negatively associated with severity of nicotine dependence [133]. Counterintuitively, a positive correlation between dorsal anterior cingulate cortexthalamus connectivity strength with both nicotine dependence and risk taking behaviour in a Balloon Analogue Risk Task was reported in cigarette smokers, though this study used ROI to ROI rather than seed to whole brain connectivity as most other studies did, which may bias the results based on ROI selection [134]. Compared with healthy individuals, ketamine-dependent individuals showed reduced connectivity between the PFC, the motor/supplementary motor area, and posterior parietal regions and the thalamus, with connectivity between the posterior parietal cortex and the lateral dorsal thalamus correlated negatively with ketamine craving [135].…”

Section: (A) Structural and Functional Integrity Of The Thalamus In Amentioning

confidence: 85%

The thalamus in drug addiction: from rodents to humans

Huang

Mitchell

Haber

et al. 2018

Phil. Trans. R. Soc. B

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Impairments in response inhibition and salience attribution (iRISA) have been proposed to underlie the clinical symptoms of drug addiction as mediated by cortico-striatal-thalamo-cortical networks. The bulk of evidence supporting the iRISA model comes from neuroimaging research that has focused on cortical and striatal influences with less emphasis on the role of the thalamus. Here, we highlight the importance of the thalamus in drug addiction, focusing on animal literature findings on thalamic nuclei in the context of drug-seeking, structural and functional changes of the thalamus as measured by imaging studies in human drug addiction, particularly during drug cue and non-drug reward processing, and response inhibition tasks. Findings from the animal literature suggest that the paraventricular nucleus of the thalamus, the lateral habenula and the mediodorsal nucleus may be involved in the reinstatement, extinction and expression of drug-seeking behaviours. In support of the iRISA model, the human addiction imaging literature demonstrates enhanced thalamus activation when reacting to drug cues and reduced thalamus activation during response inhibition. This pattern of response was further associated with the severity of, and relapse in, drug addiction. Future animal studies could widen their field of focus by investigating the specific role(s) of different thalamic nuclei in different phases of the addiction cycle. Similarly, future human imaging studies should aim to specifically delineate the structure and function of different thalamic nuclei, for example, through the application of advanced imaging protocols at higher magnetic fields (7 Tesla).This article is part of a discussion meeting issue 'Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists'.

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“…For instance, connectivity changes in key regions of the basal ganglia and the cingulo-opercular network have previously been reported in both risk-taking and risk-averse behaviors (Cox et al, 2010;DeWitt et al, 2014), but changes in these networks were not evident in our study. Likewise, the relation between delay discounting, probability discounting for gains, and RSFC seems to be stronger in conduct and addiction disorders (Wei et al, 2016;Zhu, Cortes, Mathur, Tomasi, & Momenan, 2015), but more sensitive techniques seem to be necessary for the detection of such differences in healthy sam ples. Nevertheless, our results provide, for the first time, in sight into the brain's functional architecture that may underlie risk seeking with respect to losses in healthy young males.…”

Section: Discussionmentioning

confidence: 99%

Risk seeking for losses modulates the functional connectivity of the default mode and left frontoparietal networks in young males

Deza-Araujo

Nebe

Neukam

et al. 2018

Cogn Affect Behav Neurosci

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Value-based decision making (VBDM) is a principle that states that humans and other species adapt their behavior according to the dynamic subjective values of the chosen or unchosen options. The neural bases of this process have been extensively investigated using task-based fMRI and lesion studies. However, the growing field of resting-state functional connectivity (RSFC) may shed light on the organization and function of brain connections across different decision-making domains. With this aim, we used independent component analysis to study the brain network dynamics in a large cohort of young males (N = 145) and the relationship of these dynamics with VBDM. Participants completed a battery of behavioral tests that evaluated delay aversion, risk seeking for losses, risk aversion for gains, and loss aversion, followed by an RSFC scan session. We identified a set of large-scale brain networks and conducted our analysis only on the default mode network (DMN) and networks comprising cognitive control, appetitive-driven, and reward-processing regions. Higher risk seeking for losses was associated with increased connectivity between medial temporal regions, frontal regions, and the DMN. Higher risk seeking for losses was also associated with increased coupling between the left frontoparietal network and occipital cortices. These associations illustrate the participation of brain regions involved in prospective thinking, affective decision making, and visual processing in participants who are greater risk-seekers, and they demonstrate the sensitivity of RSFC to detect brain connectivity differences associated with distinct VBDM parameters.

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Resting-state functional connectivity between the dorsal anterior cingulate cortex and thalamus is associated with risky decision-making in nicotine addicts

Cited by 30 publications

References 51 publications

Nicotinic modulation of salience network connectivity and centrality in schizophrenia

Nicotinic modulation of salience network connectivity and centrality in schizophrenia

The thalamus in drug addiction: from rodents to humans

Risk seeking for losses modulates the functional connectivity of the default mode and left frontoparietal networks in young males

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