Temporal Dynamics of Large-Scale Networks Predict Neural Cue Reactivity and Cue-Induced Craving

Wang, Kainan S.; Kaiser, Roselinde H.; Peechatka, Alyssa L.; Frederick, Blaise deB.; Janes, Amy C.

doi:10.1016/j.bpsc.2020.07.006

Cited by 8 publications

(8 citation statements)

References 59 publications

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“…widely implicated in cue-reactivity, as well as other paradigms, across substance use disorders (Englemann et al, 2012;Janes et al, 2016;Devoto et al, 2020;Wang et al, 2020). Further, our results also revealed significant activation in the superior and inferior frontal gyrus, which converge with recent meta-analyses, though not all specific to cuereactivity (Chase et al, 2011;Hill-Bowen et al, 2021;Klugah-Brown et al, 2020).…”

Section: Aggregate and Substance Specific Effectssupporting

confidence: 89%

“…Aggregate mean analysis results revealed significant activation in the posterior cingulate gyrus, a region within the default mode network (DMN). The posterior cingulate, as well as the DMN at large, have been (e.g., right posterior cingulate gyrus) widely implicated in cue-reactivity, as well as other paradigms, across substance use disorders (Englemann et al, 2012; Janes et al, 2016; Devoto et al, 2020; Wang et al, 2020). Further, our results also revealed significant activation in the superior and inferior frontal gyrus, which converge with recent meta-analyses, though not all specific to cue-reactivity (Chase et al, 2011; Hill-Bowen et al, 2021; Klugah-Brown et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

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Common and Distinct Drug Cue Reactivity Patterns Associated with Cocaine and Heroin: An fMRI Meta-Analysis

Dejoie,

Senia,

Konova

et al. 2023

Preprint

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Substance use and substance use disorders (SUDs) represent ongoing major public health crises. Specifically, the use of illicit substances such as cocaine and heroin are responsible for over 50,000 drug related deaths annually. Our study used a comparative meta-analysis procedure to contrast activation patterns that may help explain the behavioral differences observed. PubMed and Google Scholar were searched for studies with within-subject whole brain analyses comparing drug to neutral cues for users of cocaine and heroin. A total of 18 studies were included, 9 in each subgroup. Voxel-based meta-analyses were performed using seed-based d mapping with permuted subject images (SDM-PSI) for subgroup mean analyses and a contrast meta-regression comparing the two substances. Mean analysis results indicated that users of heroin showed more widespread activation in the nucleus accumbens, right inferior and left middle temporal gyrus, the right thalamus, and the right cerebellum while cocaine use was associated with recruitment of lateral prefrontal cortex. Direct comparison of cue reactivity studies in heroin relative to cocaine users revealed greater activation in dopaminergic targets for users of heroin compared to users of cocaine. Differential activation patterns between substances may underlie behavioral differences observed across users of illicit substances, including seeking mood numbing effects in users of heroin. More consistent research methodology is needed to provide adequate studies for stringent meta-analyses examining common and distinct neural activation patterns across substances.

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Section: Aggregate and Substance Specific Effectssupporting

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Common and Distinct Drug Cue Reactivity Patterns Associated with Cocaine and Heroin: An fMRI Meta-Analysis

Dejoie,

Senia,

Konova

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…40,45,46 Studies have explored the temporal dynamics of brain networks and their relationship with cue reactivity, findings that increased time spent in the DMN state predicts subsequent cue-induced increases in the anterior insula and dorsal anterior cingulate cortex. 47 Pharmacological studies administering nAChR agonists to both smokers and non-smokers revealed a significant decline in the activity of the ventromedial prefrontal cortex (vmPFC) and the posterior cingulate cortex (PCC). 48 The perspective of large-scale brain networks suggests that human attention dynamically regulates or switches between the default mode network (DMN) and the executive control network (ECN) to optimally process externally versus internally directed cognition.…”

Section: Discussionmentioning

confidence: 99%

Altered executive control network and default model network topology are linked to acute electronic cigarette use: A resting‐state fNIRS study

Huang,

Qi,

Zhang

et al. 2024

Addiction Biology

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In recent years, electronic cigarettes (e‐cigs) have gained popularity as stylish, safe, and effective smoking cessation aids, leading to widespread consumer acceptance. Although previous research has explored the acute effects of combustible cigarettes or nicotine replacement therapy on brain functional activities, studies on e‐cigs have been limited. Using fNIRS, we conducted graph theory analysis on the resting‐state functional connectivity of 61 male abstinent smokers both before and after vaping e‐cigs. And we performed Pearson correlation analysis to investigate the relationship between alterations in network metrics and changes in craving. E‐cig use resulted in increased degree centrality, nodal efficiency, and local efficiency within the executive control network (ECN), while causing a decrease in these properties within the default model network (DMN). These alterations were found to be correlated with reductions in craving, indicating a relationship between differing network topologies in the ECN and DMN and decreased craving. These findings suggest that the impact of e‐cig usage on network topologies observed in male smokers resembles the effects observed with traditional cigarettes and other forms of nicotine delivery, providing valuable insights into their addictive potential and effectiveness as aids for smoking cessation.

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“…A cue reactivity task as described in prior work [27][28][29] was used in the present study. Briefly, there were five event-related runs during which participants viewed 10 smoking, 10 non-smoking and 2 target images in a pseudorandom order (no two images of the same type appeared in succession).…”

Section: Cue Reactivity Taskmentioning

confidence: 99%

Brain and cortisol responses to smoking cues are linked in tobacco‐smoking individuals

Wanger,

de Moura,

Ashare

et al. 2023

Addiction Biology

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Cues associated with smoking can induce relapse, which is likely driven by cue‐induced neurobiological and physiological mechanisms. For instance, greater relapse vulnerability is associated with increases in cue‐induced insula activation and heightened cortisol concentrations. Determining if there is a link between such cue‐induced responses is critical given the need for biomarkers that can be easily measured in clinical settings and used to drive targeted treatment. Further, comprehensively characterising biological reactions to cues promises to aid in the development of therapies that address this specific relapse risk factor. To determine whether brain and cortisol responses to smoking cues are linked, this study recruited 27 nicotine‐dependent tobacco‐smoking individuals and acquired whole‐brain functional activation during a cue reactivity task; salivary cortisol was measured before and after scanning. The results showed that increases in blood‐oxygen‐level‐dependent activation in the right anterior insula and right dorsolateral prefrontal cortex (DLPFC) when viewing smoking versus neutral cues were positively correlated with a post‐scan rise in salivary cortisol concentrations. These brain regions have been previously implicated in substance use disorders for their role in salience, interoception and executive processes. These findings show that those who have a rise in cortisol following smoking cue exposure also have a related rise in cue‐induced brain reactivity, in brain regions previously linked with heightened relapse vulnerability. This is clinically relevant as measuring cue‐induced cortisol responses is a more accessible proxy for assessing the engagement of cue‐induced neurobiological processes associated with the maintenance of nicotine dependence.

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Temporal Dynamics of Large-Scale Networks Predict Neural Cue Reactivity and Cue-Induced Craving

Cited by 8 publications

References 59 publications

Common and Distinct Drug Cue Reactivity Patterns Associated with Cocaine and Heroin: An fMRI Meta-Analysis

Common and Distinct Drug Cue Reactivity Patterns Associated with Cocaine and Heroin: An fMRI Meta-Analysis

Altered executive control network and default model network topology are linked to acute electronic cigarette use: A resting‐state fNIRS study

Brain and cortisol responses to smoking cues are linked in tobacco‐smoking individuals

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