Severity of alcohol dependence is negatively related to hypothalamic and prefrontal cortical gray matter density in heavy drinking smokers

Bullock, K A; Cservenka, Anita; Ray, Lara A.

doi:10.1080/00952990.2016.1257632

Cited by 8 publications

(8 citation statements)

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“…Our results suggest that a common feature of CSBD and behavioral (PG) and substance (AUD) addictions lower GMV in frontal pole -subregion of prefrontal cortex (PFC) implicated in cognitive control [51], [52], [35] and cognitive processing [53], [54], [55]. Reduction of GMVs in frontopolar cortex was previously found in AUD and GD [21], [27], [18], [15]. Our results suggest that CSBD resembles PG and AUD form the perspective of GMV reduction in frontopolar cortex.…”

Section: Resultssupporting

confidence: 69%

“…Reduced gray matter volume in AUD, GD, CSBD -findings from previous VBM studies Smaller brain volumes and differences in functioning of reward circuity and cognitive control pathways have been related to AUD [11]. Neurotoxic effects of alcohol are established [12], [13], [14] and studies comparing individuals with AUD to HCs showed lower GMVs among those with AUD in cortical brain regions including the anterior cingulate and prefrontal cortex [15], [16], [17], [18], [19], [20], [14], [21], [22], [23]. In AUD lower GMVs (compared to HCs) have also been reported in other cortical and subcortical brain regions, including the bilateral insula, right amygdala, right putamen, left thalamus [24], [25], [20], [19], [23], hippocampus [15], [25] and caudate [26].…”

Section: Introductionmentioning

confidence: 89%

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Gray matter volume differences in impulse control and addictive disorders

Draps¹,

Sescousse²,

Mn³

et al. 2020

Preprint

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BACKGROUNDS: The concepts of addictions and impulse control disorders are changing as reflected in the 11thversion of International Classification of Disorders (ICD-11, WHO, 2018). However, studies focusing on direct comparison of structural brain differences in behavioral and substance addictions are limited.AIM: Here we contrast gray matter volumes (GMVs) across groups of individuals with compulsive sexual behaviordisorder (CSBD), gambling disorder (GD), and alcohol use disorder (AUD) with those with none of these disorders(healthy controls participants; HCs).METHODS: Voxel-based morphometry (VBM) was employed to study brain structure and severities of addictions symptoms were assessed with questionnaires. To identify brain regions related to severities of addictions,correlations between questionnaires scores and GMVs were computed.MAIN OUTCOME: We collected MRI (GMVs) data from 26 CSBD patients, 26 GD patients, 21 AUD patients and25 HC participants (all heterosexual males; age: 24-60; M = 34.5, SD = 6.48).RESULTS: Affected individuals (CSBD, GD, AUD) compared to HC participants showed smaller GMVs in the leftfrontal pole, specifically in the orbitofrontal cortex. The most pronounced differences were observed in the GD andAUD groups, and the least in the CSBD group. There was a negative correlation between GMVs and disorderseverity in the CSBD group. Higher severity of CSBD symptoms was correlated with decreased GMV in the rightanterior cingulate gyrus.CLINICAL IMPLICATIONS: Our findings suggest similarities between specific impulse control disorders andaddictions.STRENGHS AND LIMITIATIONS:This study is the first showing smaller GMVs in 3 clinical groups of CSBD, GD and AUD. But the study was limitedonly to heterosexual men. Longitudinal studies should examine the extent to which ventral prefrontal decrements in volume may represent preexisting vulnerability factors or whether they may develop with disorder progression.CONCLUSIONS: Our research extends prior findings in substance use disorders of lower GMV in prefrontalcortical volumes among 3 clinical groups of patients with specific impulse control and behavioral and substanceaddictive disorders. The negative correlation between GMVs and CSBD symptoms and right anterior cingulate gyrus suggests a link with clinical symptomatology.

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Section: Resultssupporting

confidence: 69%

Section: Introductionmentioning

confidence: 89%

Gray matter volume differences in impulse control and addictive disorders

Draps¹,

Sescousse²,

Mn³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…53e55 Reduction of GMVs in the frontopolar cortex was previously found in AUD and GD. 15,18,21,27 Our results suggest that CSBD resembles GD and AUD from the perspective of GMV reduction in the frontopolar cortex. However, our results need to be replicated on a larger sample and pass FWE correction.…”

Section: Resultsmentioning

confidence: 55%

Gray Matter Volume Differences in Impulse Control and Addictive Disorders—An Evidence From a Sample of Heterosexual Males

Draps

Sescousse

Potenza

et al. 2020

The Journal of Sexual Medicine

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Backgrounds: The classification of addictions and impulse control disorders is changing as reflected in the 11th version of International Classification of Disorders (WHO, 2018). However, studies focusing on direct comparison of structural brain differences in behavioral and substance addictions are limited. Aim: Here, we contrast gray matter volumes (GMVs) across groups of individuals with compulsive sexual behavior disorder (CSBD), gambling disorder (GD), and alcohol use disorder (AUD) with those with none of these disorders (healthy controls participants; HCs). Methods: Voxel-based morphometry was used to study brain structure, and severities of addiction symptoms were assessed with questionnaires. To identify brain regions related to severities of addictions, correlations between questionnaire scores and GMVs were computed. Main Outcome: We collected magnetic resonance imaging (GMVs) data from 26 patients with CSBD, 26 patients with GD, 21 patients with AUD, and 25 HC participants (all heterosexual males; age: 24-60; mean ¼ 34.5, standard deviation ¼ 6.48). Results: Affected individuals (CSBD, GD, AUD) compared with HC participants showed smaller GMVs in the left frontal pole, specifically in the orbitofrontal cortex. The most pronounced differences were observed in the GD and AUD groups, and the least in the CSBD group. In addition, a negative correlation was found between GMVs and disorder severity in the CSBD group. Higher severity of CSBD symptoms was correlated with decreased GMVs in the right anterior cingulate gyrus. Clinical Implications: Our findings suggest similarities between CSBD and addictions. Strenghs and Limitiations: This study is the first showing smaller GMVs in 3 clinical groups of CSBD, GD, and AUD. But the study was limited only to heterosexual men. Longitudinal studies should examine the extent to which ventral prefrontal decrements in volume may represent preexisting vulnerability factors or whether they may develop with disorder progression. Conclusions: Our research extends prior findings in substance use disorders of lower GMVs in prefrontal cortical volumes among 3 clinical groups of patients with specific impulse control (CSBD) and behavioral (GD) and substance (AUD) addictive disorders. The negative correlation between CSBD symptoms and GMV of right anterior cingulate gyrus suggests a link with clinical symptomatology. Draps M,

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“…By activating acetylcholine receptors, nicotine modulates the transmission and release of different central neurotransmitters, thereby causing dependence [ 22 , 23 ]. Meanwhile, DA is associated with craving and enhancement in nicotine addiction, primarily stimulating DA signaling, amplifying the effects of drugs and drug-related cues, leading to compulsive drug use and addiction [ 24 ]. Decreased thalamic volume is associated with nicotine-induced impairment of neurotransmitter modulation, and reduced thalamic gray matter volume promotes related functions.…”

Section: Discussionmentioning

confidence: 99%

Brain Magnetic Resonance Imaging Features of Nicotine‐Dependent Individuals and Its Correlation with Polymorphisms of Dopamine D Receptor Gene

Liu

Guan

Nie

et al. 2022

Contrast Media & Molecular Imaging

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The aim of this research was developed to provide a scientific basis for individualized prevention, clinical diagnosis, and corrective treatment of nicotine addiction. The objects were 214 cases in the smoke group and 43 cases in the control group. According to the Fagerstrom Nicotine Dependence Test (FTND), the smokers were divided into mild nicotine dependence group (FTND < 6 points, 138 cases) and nicotine severe dependence group (≥6 points, 76 cases). The brain structure in long-term smokers was evaluated by using magnetic resonance imaging (MRI). The nicotine dependence was further analyzed by grouping the included individuals, and some candidate genes related to nicotine addiction were screened by combining with bioinformatics analysis. The family research strategy was adopted to detect nicotine addiction susceptibility genes and their polymorphisms. The MRI imaging results showed that the bilateral thalamus, right parietal, and left lens gram-molecule volume (GMV) were negatively correlated with smoking index and smoking years in the smoking group. The GMV of the posterior cingulate cortex in the severe nicotine dependence group was lower than that of the control group, and the GMVs of bilateral thalamus and bilateral superior limbic gyrus in the mild nicotine dependence group were lower than those of the control group. The gene polymorphism detection showed that rs6275 was highly polymorphic in the target population and the frequency of rs6275-C allele was 53.26%. Therefore, the MRI imaging characteristics suggested that the affected brain regions of smokers and people with varying degrees of nicotine dependence were mainly concentrated in response-related pathways and the limbic system and had cumulative effects on the central nervous system. In addition, the M6275 polymorphism of DRD2 gene was associated with susceptibility to nicotine addiction in Chinese population, and the M6275-C allele had a protective effect on susceptibility to nicotine addiction and smoking initiation.

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Severity of alcohol dependence is negatively related to hypothalamic and prefrontal cortical gray matter density in heavy drinking smokers

Cited by 8 publications

References 50 publications

Gray matter volume differences in impulse control and addictive disorders

Gray matter volume differences in impulse control and addictive disorders

Gray Matter Volume Differences in Impulse Control and Addictive Disorders—An Evidence From a Sample of Heterosexual Males

Brain Magnetic Resonance Imaging Features of Nicotine‐Dependent Individuals and Its Correlation with Polymorphisms of Dopamine D Receptor Gene

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