The left dorsolateral prefrontal cortex and caudate pathway: New evidence for cue-induced craving of smokers

Yuan, Kai; Yu, Dahua; Bi, Yanzhi; Wang, Ruonan; Li, Min; Zhang, Yajuan; Dong, Minghao; Zhai, Jinquan; Li, Yangding; Lu, Xiaoqi; Tian, Jie

doi:10.1002/hbm.23690

Cited by 67 publications

(50 citation statements)

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“…We further measured the effect of alcohol dependence on mediating role of thalamus connectivity; the effect of alcohol dependence on subjective sleep quality via altered resting‐state connectivity (i.e., indirect effect); and the effect of altered resting‐state connectivity on subjective sleep quality in the presence of alcohol dependence. According to standard convention (Kober et al, ), “X” refers to the AUDIT score, “Y” refers to the PSQI score, and “M” refers to left thalamus–mPFC RSFC strength in current study (Yuan et al, , ).…”

Section: Methodsmentioning

confidence: 99%

Reduced resting‐state functional connectivity and sleep impairment in abstinent male alcohol‐dependent patients

Liu

Cai

Zhao

et al. 2019

Human Brain Mapping

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Alcohol dependence is associated with poor sleep quality, which has both been implicated with thalamocortical circuits function. To identify the possible roles of these circuits in the alcohol‐sleep association, we investigated the volume of both left and right thalamus and corresponding resting‐state functional connectivity (RSFC) differences between 15 alcohol‐dependent patients (AD) and 15 healthy controls (HC) male participants. The neuroimaging findings were then correlated with clinical variables, that is, Alcohol Use Disorders Identification Test (AUDIT) and Pittsburgh Sleep Quality Index (PSQI). Additionally, mediation analysis was carried out to test whether the thalamocortical RSFC mediates the relationship between drinking behavior and sleep impairments in AD when applicable. We observed a significant positive correlation between AUDIT score and PSQI score in AD. Compared with HC, AD showed reduced RSFC between the left thalamus and medial prefrontal cortex (mPFC), orbitofrontal cortex, anterior cingulate cortex (ACC), and right caudate. We also observed a negative correlation between RSFC of the left thalamus–mPFC and PSQI score in AD. More importantly, the left thalamus–mPFC RSFC strength mediated the relationship between AUDIT score and PSQI score in AD. No significant difference was detected in the normalized volume of both left and right thalamus, and volumes were not significantly correlated with clinical variables. Our results demonstrate that AD show abnormal interactions within thalamocortical circuits in association with drinking behaviors and sleep impairments. It is hoped that our study focusing on thalamocortical circuits could provide new information on potential novel therapeutic targets for treatment of sleep impairment in alcohol‐dependent patients.

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Section: Methodsmentioning

confidence: 99%

Reduced resting‐state functional connectivity and sleep impairment in abstinent male alcohol‐dependent patients

Liu

Cai

Zhao

et al. 2019

Human Brain Mapping

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“…For instance, the structural connectivity of the anterior insula‐nucleus accumbens tract can predict the activity of the nucleus accumbens in positively skewed gamble task (Leong et al, ). We recently found that the DLPFC‐caudate tract integrity could modulate activity of the caudate in smoking cue exposure task in smokers (Yuan et al, ). Consistently, our current results revealed the structural connectivity of left CEN was positively correlated the activity of the DLPFC in smoking cue exposure task, which extended the links between the brain structural connections and brain activity.…”

Section: Discussionmentioning

confidence: 99%

“…The regions of interest (ROIs) of the DLPFC and PPC for each hemisphere were created based on a combination of the standard automated anatomical labeling (Tzourio‐Mazoyer et al, ) map numbers within parentheses: left DLPFC (3:Frontal_Sup_L, 7: Frontal_Mid_L), right DLPFC (4:Frontal_Sup_R, 8: Frontal_Mid_R) (Van Den Bos et al, ), left PPC (59: Parietal_Sup_L, 61: Parietal_Inf_L, 63: SupraMarginal_L, 65: Angular_L) and right PPC (60: Parietal_Sup_R, 62: Parietal_Inf_R, 64: SupraMarginal_R, 66: Angular_R). A series of spatial transformations were applied to acquire the subject‐specific ROIs (Yuan et al, ) (Fig. a).…”

Section: Methodsmentioning

confidence: 99%

“…The A series of spatial transformations were applied to acquire the subject-specific ROIs (Yuan et al, 2017a) (Fig. 1a).…”

Section: Dti Data Preprocessing and Cen Fiber Tractographymentioning

confidence: 99%

“…White matter (WM) structural connectivity is an inherent brain organization and influences brain function and behaviors by facilitating information communications between brain regions [Leong et al, ; Yuan et al, ]. As mentioned above, most of the present studies focused on the functional abnormalities of the CEN and their association with smoking cue reactivity or smoking‐related behaviors in smokers.…”

Section: Introductionmentioning

confidence: 99%

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White matter integrity of central executive network correlates with enhanced brain reactivity to smoking cues

Yuan

et al. 2017

Human Brain Mapping

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The attentional bias to smoking cues contributes to smoking cue reactivity and cognitive declines underlines smoking behaviors, which were probably associated with the central executive network (CEN). However, little is known about the implication of the structural connectivity of the CEN in smoking cue reactivity and cognitive control impairments in smokers. In the present study, the white matter structural connectivity of the CEN was quantified in 35 smokers and 26 non-smokers using the diffusion tensor imaging and deterministic fiber tractography methods. Smoking cue reactivity was evaluated using cue exposure tasks, and cognitive control performance was assessed by the Stroop task. Relative to non-smokers, smokers showed increased fractional anisotropy (FA) values of the bilateral CEN fiber tracts. The FA values of left CEN positively correlated with the smoking cue-induced activation of the dorsolateral prefrontal cortex and right middle occipital cortex in smokers. Meanwhile, the FA values of left CEN positively correlated with the incongruent errors during Stroop task in smokers. Collectively, the present study highlighted the role of the structural connectivity of the CEN in smoking cue reactivity and cognitive control performance, which may underpin the attentional bias to smoking cues and cognitive deficits in smokers. The multimodal imaging method by forging links from brain structure to brain function extended the notion that structural connections can modulate the brain activity in specific projection target regions. Hum Brain Mapp 38:6239-6249, 2017. © 2017 Wiley Periodicals, Inc.

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Psychometric investigation of the Chinese version of the Habit, Reward and Fear Scale (HRFS)

Hong

et al. 2021

Brain and Behavior

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Background: Tobacco use is one of the most important risk factors for health, and China is the largest producer and consumer of tobacco in the world. Monitoring and controlling the tobacco epidemic is an important issue. However, the motivation underlying smoking behavior is complex and specific to the individual. The Habit, Reward and Fear Scale (HRFS) is a feasible tool to evaluate this complex motivation.Objectives: To validate the psychometric properties of the HRFS Chinese version (HRFS-C) and to assess the relationship between motivation and smoking behavior. Method: We recruited 967 participants through social media and assessed their smoking behavior with three instruments: the Fagerstrom Test for Nicotine Dependence-Chinese version (FTND-C), the Questionnaire on Smoking Urges-Brief Scale-Chinese version (QSU-brief-C), and the HRFS-C. Ultimately, we retained 700 valid data points. Cronbach's α and split-half tests were used to evaluate the reliability. Confirmatory factor analysis, Pearson's r and an analysis of variance (ANOVA) were used to evaluate the validity. In addition, linear regression was used to explore the relationship among the three instruments. The HRFS-C showed good homogeneity (α = 0.965), concurrent validity, and discriminant validity. A significant linear relationship was observed among the FTND-C, QSU-brief-C, and HRFS-C (p < .001). Conclusion: The motivation measured by the HRFS-C can significantly predict nicotine dependence and craving in the smoking population. The HRFS-C can be used to carry out targeted interventions for addicted patients (e.g., motivational enhancement therapy).

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The left dorsolateral prefrontal cortex and caudate pathway: New evidence for cue-induced craving of smokers

Cited by 67 publications

References 65 publications

Reduced resting‐state functional connectivity and sleep impairment in abstinent male alcohol‐dependent patients

Reduced resting‐state functional connectivity and sleep impairment in abstinent male alcohol‐dependent patients

White matter integrity of central executive network correlates with enhanced brain reactivity to smoking cues

Psychometric investigation of the Chinese version of the Habit, Reward and Fear Scale (HRFS)

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