Evaluating alcohol demand, craving, and depressive symptoms among women in alcohol treatment

Functional Connectivity Differences in the Resting-state of the Amygdala in Alcohol-dependent Patients with Depression

RATIONALE AND OBJECTIVES

The mechanism of comorbidity between alcohol dependence and depressive disorders are not well understood. This study investigated differences in the brain function of alcohol-dependent patients with and without depression by performing functional connectivity analysis using resting-state functional magnetic resonance imaging.

MATERIALS AND METHODS

A total of 29 alcohol-dependent patients with depression, 31 alcohol-dependent patients without depression and 31 healthy control subjects were included in this study. The resting-state functional connectivity between the amygdala and the whole brain was compared among the three groups. Additionally, we examined the correlation between functional connectivity values in significantly different brain regions and levels of alcohol dependence and depression.

RESULTS

The resting-state functional connectivity between the left amygdala and the right caudate nucleus was decreased in alcohol-dependent patients. Additionally, the resting-state functional connectivity of the right amygdala with the right caudate nucleus, right transverse temporal gyrus, right temporal pole: superior temporal gyrus were also decreased. In alcohol-dependent patients with depression, not only was functional connectivity between the above brain regions significantly decreased, but so was functional connectivity between the right amygdala and the left middle temporal gyrus. Also, there was no significant correlation between the resting-state functional connectivity values in statistically significant brain regions and the levels of alcohol dependence and depression.

CONCLUSION

The impairment of the functional connectivity of the amygdala with caudate nucleus and partial temporal lobe may be involved in the neural mechanism of alcohol dependence comorbidity depressive disorders.

Cannabis demand and use among veterans: A prospective examination

OBJECTIVE

Cannabis demand (i.e., relative value), assessed cross-sectionally via a hypothetical marijuana purchase task (MPT), has been associated with use, problems, and dependence symptoms, among others. However, limited work exists on the prospective stability of the MPT. Furthermore, cannabis demand among veterans endorsing cannabis use, and the prospective cyclical relationship between demand and use over time, have yet to be investigated.

METHOD

Two waves of data from a veteran sample (N = 133) reporting current (past 6-month) cannabis use were analyzed to assess stability in cannabis demand over 6 months. Autoregressive cross-lagged panel models (CLPMs) assessed the longitudinal associations between demand indices (i.e., intensity, Omax, Pmax, breakpoint) and cannabis use.

RESULTS

Baseline cannabis use predicted greater intensity (β = .32, p < .001), Omax (β = .37, p < .001), breakpoint (β = .28, p < .001), and Pmax (β = .21, p = .017) at 6 months. Conversely, baseline intensity (β = .14, p = .028), breakpoint (β = .12, p = .038), and Pmax (β = .12, p = .043), but not Omax, predicted greater use at 6 months. Only intensity demonstrated acceptable prospective reliability.

CONCLUSIONS

Cannabis demand demonstrated stability over 6 months in CLPM models, varying along with natural changes in cannabis use. Importantly, intensity, Pmax, and breakpoint displayed bidirectional predictive associations with cannabis use, and the prospective pathway from use to demand was consistently stronger. Test-retest reliability ranged from good to poor across indices. Findings highlight the value of assessing cannabis demand longitudinally, particularly among clinical samples, to determine how demand fluctuates in response to experimental manipulation, intervention, and treatment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Characteristics of amplitude of low-frequency fluctuations in the resting-state functional magnetic resonance imaging of alcohol-dependent patients with depression

The high comorbidity of alcohol use disorder and depressive disorder is associated with poor patient prognosis. The mechanisms underlying this comorbidity, however, are largely unknown. By applying the amplitude of low-frequency fluctuations parameter in resting-state functional magnetic resonance imaging, this study investigated changes in the brain functioning of alcohol-dependent patients with and without depression. Alcohol-dependent patients (n = 48) and healthy controls (n = 31) were recruited. The alcohol-dependent patients were divided into those with and without depression, according to Patients Health Questionnaire-9 scores. Amplitude of low-frequency fluctuations in resting-state brain images were compared among the alcohol-dependent patients with depression, alcohol-dependent patients without depression, and healthy controls groups. We further examined associations between amplitude of low-frequency fluctuations alterations, alcohol-dependence severity, and depressive levels (assessed with scales). Compared with the healthy controls group, both alcohol groups showed amplitude of low-frequency fluctuations enhancement in the right cerebellum and amplitude of low-frequency fluctuations abatement in the posterior central gyrus. The alcohol-dependent patients with depression group had higher amplitude of low-frequency fluctuations in the right cerebellum than the alcohol-dependent patients without depression group. Additionally, we observed a positive correlation between amplitude of low-frequency fluctuations value and Patients Health Questionnaire-9 score in the right superior temporal gyrus in the alcohol-dependent patients with depression group. Alcohol-dependent subjects showed abnormally increased spontaneous neural activity in the right cerebellum, which was more significant in alcohol-dependent patients with depression. These findings may support a targeted intervention in this brain location for alcohol and depressive disorder comorbidity.

Confusion of Alcohol Craving With Food Hunger in Alcohol-Dependent Individuals Entering In-Patient Drug Treatment

AIM

To identify the distinguishing characteristics of alcohol dependent patients who confuse alcohol cravings with pre-meal hunger.

METHODS

Data were collected at interview on sociodemographic status, clinical status and anthropometry in 179 patients (163 men and 16 women) undergoing in-patient treatment for alcohol dependence.

RESULTS

A comparison of the patient subgroups studied showed that patients who did not confuse, and those who did confuse, alcohol craving with pre-meal hunger differed significantly in terms of alcohol craving scale scores (9 vs. 4 points). Patients confusing alcohol cravings with pre-meal hunger were more likely to recognize that experiencing severe pre-meal hunger can cause relapse (67.9 vs. 22.8%) and that not being able to distinguish between the sensations under study also increases the risk of breaking abstinence (75.0% vs. 50.4%). This was independent of severity of dependence and intensity of recent alcohol consumption.

CONCLUSIONS

Alcohol-dependent persons who confuse alcohol craving with pre-meal hunger differ from those who do not confuse these hunger pangs in terms of feeling stronger alcohol craving and more frequent occurrence of symptoms accompanying the feeling of alcohol craving during pre-meal hunger. At the start of treatment for alcohol withdrawal, alcohol-dependent individuals who report confusing alcohol cravings with pre-meal hunger are less confident of maintaining abstinence. This is relevant to treatment. The role of possible confounders (depressive symptoms, cognitive and educational deficiency) could not be elucidated definitively.

Alcohol demand assessed daily as a predictor of same day drinking

OBJECTIVE

In this investigation, baseline (trait) and daily (brief) alcohol purchase task (APT) indices (intensity: consumption at zero cost; Omax: maximum expenditure; breakpoint: cost suppressing consumption to zero) were used to investigate the influence of morning demand on subsequent alcohol consumption.

METHOD

Heavy drinking college students (n = 92, age 18-20, 50% female) completed 28 daily morning reports including demand and prior day drinking. Hierarchical linear modeling, with days (Level 1) nested within-person (Level 2) were used to test the effect of morning demand on number of drinks consumed on planned drinking days, with Level 1 (study day, survey time, weekend/weekday) and Level 2 (spending money, typical drinks) covariates. Subsequently, the relative impact on daily drinking of (a) the average of each daily demand index on planned drinking days versus (b) the matched trait demand index was assessed.

RESULTS

Higher morning intensity was related to increased alcohol consumption later that night. This finding held in sensitivity analyses wherein demand was assumed to be zero on unplanned drinking days. When tested individually, both aggregate daily and baseline trait intensity were significantly associated with average drinks measured daily. However, in the same model, only aggregate daily intensity was significant. Neither daily aggregate nor trait breakpoint or Omax were significant.

CONCLUSIONS

Findings replicate previous work suggesting that brief demand (intensity) can predict same day drinking. Elevation in intensity in particular may denote greater risk for elevated alcohol consumption at subsequent episodes, thus intervention among at-risk drinkers may be possible prior to drinking initiation. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Bidirectional prospective associations between behavioral economic indicators and drinking patterns during alcohol use disorder natural recovery attempts

OBJECTIVES

Behavioral economic (BE) theory posits that harmful alcohol use is a joint product of elevated alcohol demand and preference for immediate over delayed rewards. Despite cross-sectional research support, whether expected bidirectional relations exist between BE indicators and drinking during recovery attempts is unknown. Therefore, this prospective research investigated quarter-by-quarter cross-lagged associations between BE simulation tasks and drinking following a natural recovery attempt. Higher demand and discounting in a given quarter should predict subsequent drinking. Conversely, drinking in a given quarter should predict subsequent higher demand and discounting.

METHOD

Community-dwelling problem drinkers were enrolled shortly after stopping heavy drinking without treatment (N = 191). Drinking practices, problems, delay discounting, and alcohol demand (intensity, Omax, Pmax, elasticity) were assessed at baseline and 3-, 6-, 9-, and 12-month follow-ups. Longitudinal cross-lagged models related each BE indicator in the previous quarter to drinking status in the next quarter, and vice versa.

RESULTS

Higher demand intensity (consumption when drinks are free) at Quarter 1 distinguished participants who drank heavily in Quarter 2 from those who abstained. In turn, heavy drinking participants in Quarter 2 had higher intensity at Quarter 3 than abstainers and moderate drinkers in Quarter 2, and higher intensity at Quarter 3 distinguished heavy drinkers in Quarter 4 from moderate drinkers (ps < .05). Hypothesized associations for other BE indices were inconsistent or partially supported.

CONCLUSIONS

Alcohol purchase task metrics showed some hypothesized prospective associations with drinking during a natural recovery attempt, which supports their ecological validity as relapse risk indicators. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Unique and Transdiagnostic Dimensions of Reward Functioning in Attention-Deficit/Hyperactivity Disorder and Alcohol Use Disorder Symptoms

AIMS

Contemporary theories of attention-deficit/hyperactivity disorder (ADHD) and alcohol use disorder (AUD) emphasize core dysfunctions in reward-related processes and behaviors as pathognomonic characteristics. However, to date, it is unclear which domains of reward functioning are unique to ADHD versus AUD symptom dimensions, and which represent underlying shared correlates.

METHODS

The current study employed secondary data analyses from a large community sample of emerging adults (N = 602; 57.3% female) and novel transdiagnostic modeling (i.e. bi-factor confirmatory factor analyses and structural equation modeling) of ADHD, AUD and shared symptom dimensions to identify unique and common reward-related dimensions: environmental suppressors, reward probability, hedonic capacity, proportionate substance-related reinforcement and delay discounting.

RESULTS

The presence of environmental suppressors was the only reward-related construct that correlated with the underlying ADHD-AUD shared dimension. The AUD symptom dimension was uniquely associated with proportionate substance-related reinforcement, whereas the ADHD symptom dimension was uniquely associated with limited reward probability. No significant associations were found for delay discounting or hedonic capacity.

CONCLUSIONS

These novel findings highlight specific aspects of reward-related functioning in ADHD, AUD and shared symptom dimensions. In so doing, this work meaningfully advances theoretical conceptualizations of these two commonly co-occurring presentations and suggests future directions for research on transdiagnostic correlates. Future longitudinal studies should include clinical samples with diagnoses of AUD and ADHD to further identify underlying correlates over time.