Sex differences in the interacting roles of impulsivity and positive alcohol expectancy in problem drinking: A structural brain imaging study

Ide, Jaime S.; Zhornitsky, Simon; Hu, Sien; Zhang, Sheng; Krystal, John H.; Li, Chiang‐Shan R.

doi:10.1016/j.nicl.2017.03.015

Cited by 41 publications

(29 citation statements)

References 113 publications

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“…MR imaging studies of sex differences in brain function of alcoholics have yielded contradictory results, with some studies showing women to be more susceptible than men to brain impairment and vice versa. 32,40 In general, we found more microstructural changes in the left inferior frontal gyrus, amygdaloid body, precentral gyrus, anterior cingulate, and bilateral parahippocampal gyrus in men. One plausible explanation is that a few brain regions of men are more susceptible to alcohol, which manifests in changes in language expression, executive function, memory, and emotion of men after alcohol consumption.…”

Section: Discussionmentioning

confidence: 71%

Effects of Acute Alcohol Consumption on the Human Brain: Diffusional Kurtosis Imaging and Arterial Spin-Labeling Study

Kong

Zeng

Zheng

et al. 2019

AJNR Am J Neuroradiol

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BACKGROUND AND PURPOSE: Brain function and microstructure are affected by alcohol consumption. Until recently, the effect of alcohol on neural mechanisms has not been fully elucidated. Our aim was to explore the acute effects of alcohol on healthy human brains by diffusional kurtosis imaging and 3D arterial spin-labeling and elucidate structural and functional changes in the brain on acute alcohol intake. MATERIALS AND METHODS:Conventional MR imaging, diffusional kurtosis imaging, and 3D arterial spin-labeling were performed on 24 healthy volunteers before and 0.5 and 1 hour after drinking alcohol. Participants were divided into 2 groups according to the response to alcohol: blushing (n ϭ 12) and unblushing (n ϭ 12) groups. Twenty brain regions were analyzed. RESULTS:Diffusional kurtosis imaging revealed an increase in mean kurtosis and fractional anisotropy at 0.5 hour post-alcohol intake in most brain regions, whereas mean diffusion was decreased in several brain regions at 1 hour after drinking. 3D arterial spin-labeling showed increased cerebral blood flow in most brain regions, particularly in the frontal regions. However, perfusion in the anterior commissure decreased. Regional changes in the brain correlated with various behavioral performances with respect to blush response and sex. In general, blushing individuals and men are more sensitive to alcohol with acute effects. CONCLUSIONS:Physiologic and microstructural alterations in the brain on alcohol consumption were examined. Brain areas with blood flow alteration detected by 3D arterial spin-labeling were highly consistent with susceptible areas detected by diffusional kurtosis imaging. The current study provides new insight into the effects of alcohol on the brain and behavioral performance in different blush response and sex populations. ABBREVIATIONS:ALDH ϭ aldehyde dehydrogenase; ASL ϭ arterial spin-labeling; BAES ϭ Biphasic Alcohol Effects Scale; DKI ϭ diffusional kurtosis imaging; FA ϭ fractional anisotropy; MD ϭ mean diffusion; MK ϭ mean kurtosis; pre ϭ controls Indicates open access to non-subscribers at www.ajnr.org Indicates article with supplemental on-line tables.

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Section: Discussionmentioning

confidence: 71%

Effects of Acute Alcohol Consumption on the Human Brain: Diffusional Kurtosis Imaging and Arterial Spin-Labeling Study

Kong

Zeng

Zheng

et al. 2019

AJNR Am J Neuroradiol

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“…In this section, the performance of the proposed FCR-based Alcoholism Detection (FCRAD) method is evaluated and compared with the existing GLMAD method [3], ANN & K-NN [6], NB & DT [7] and SVM [9] while applying for AD method by using MATLAB 2018a. In this experiment, the MIRIAD dataset is used which is examined from the Dementia Research Centre at the Institute of Neurology in London.…”

Section: Resultsmentioning

confidence: 99%

“…Apart from those above discussed methods, the GLMAD method [3] uses three regressions for ROI segmentation as:…”

Section: Iv) Glmad Methodsmentioning

confidence: 99%

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Alcohol Expectancy Prediction Using Fuzzy C-Regression Based Structural Brain Imaging

Selvaraj¹,

Muthuswamy²,

Kumar³

2019

IJIES

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An Alcohol Use Disorder (AUD) can be easily predicted by using General Linear Model (GLM) which evaluates the interaction of alcohol expectancy and impulsivity associated with the reduced Gray Matter Volume (GMV) of the right posterior insula in women and the left thalamus in both women and men. However, this analysis does not support the detection of non-linear distribution of GMV at the human brain. Therefore, in this paper, detection of GMV reduction of a brain also known as Alcoholism Detection (AD) is improved by using a Fuzzy C-Regression (FCR) model that supports the non-linearity of gray matter in the brain. In this method, spatial information is also incorporated into the FCR model to remove the noise in the brain images. Moreover, the Alcohol Expectancy Test (AET) score is estimated based on the deviations of GMV that mediates the correlation between GMV and alcoholism. This AET score is mostly related to the reduced GMV of the left thalamus in women and men combined and in men alone. Thus, the GMV reduction in the right posterior insula and left thalamus indicates the relationship between AET score and alcoholism. Finally, the experimental outcomes demonstrate that the proposed FCRAD method achieves an accuracy of 86.06% which is 8.77% higher than the existing GLMAD method.

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“…One particular region of interest is the insula, which is activated by natural and drug rewards, is involved in craving, and integrates emotional stimuli contributing to mood regulation (14). Clinical studies report that reduced insular grey matter volume is correlated with increased alcohol expectancy in female problem drinkers, but not in male problem drinkers (42). Interestingly, insular activation is further enhanced by alcohol cues in alcohol-dependent women compared to non-dependent women, while men show greater alcohol cue reactivity in the striatum compared to women (43,44).…”

Section: Discussionmentioning

confidence: 99%

Sex differences in the ability of corticostriatal oscillations to predict rodent alcohol consumption

Henricks

Sullivan²,

Dwiel³

et al. 2019

Preprint

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Background: Although male and female rats differ in their patterns of alcohol use, little is known regarding the neural circuit activity that underlies these differences in behavior. The current study used a machine learning approach to characterize sex differences in local field potential (LFP) oscillations that may relate to sex differences in alcohol drinking behavior.Methods: LFP oscillations were recorded from the nucleus accumbens shell and the rodent medial prefrontal cortex of adult male and female Sprague-Dawley rats. Recordings occurred before rats were exposed to alcohol (n=10/sex X 2 recordings/rat) and during sessions of limited access to alcohol (n=5/sex X 5 recordings/rat). Oscillations were also recorded from each female rat in each phase of estrous prior to alcohol exposure. Using machine-learning, we built predictive models to classify rats based on: 1) biological sex; 2) phase of estrous; and 3) alcohol intake levels. We evaluated model performance from real data by comparing it to the performance of models built and tested on permutations of the data. Results:Our data demonstrate that corticostriatal oscillations were able to predict alcohol intake levels in males (p<0.01), but not in females (p=0.45). The accuracies of models predicting biological sex and phase of estrous were related to fluctuations observed in alcohol drinking levels; females in diestrus drank more alcohol than males (p=0.052), and the male vs. diestrus female model had the highest accuracy (71.01%) compared to chance estimates.Conversely, females in estrus drank similar amounts of alcohol to males (p=0.702), and the male vs. estrus female model had the lowest accuracy (56.14%) compared to chance estimates. Conclusions:The current data demonstrate that oscillations recorded from corticostriatal circuits contain significant information regarding alcohol drinking in males, but not alcohol drinking in females. Future work will focus on identifying where to record LFP oscillations in order to predict alcohol drinking in females, which may help elucidate sex-specific neural targets for future therapeutic development.

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Sex differences in the interacting roles of impulsivity and positive alcohol expectancy in problem drinking: A structural brain imaging study

Cited by 41 publications

References 113 publications

Effects of Acute Alcohol Consumption on the Human Brain: Diffusional Kurtosis Imaging and Arterial Spin-Labeling Study

Effects of Acute Alcohol Consumption on the Human Brain: Diffusional Kurtosis Imaging and Arterial Spin-Labeling Study

Alcohol Expectancy Prediction Using Fuzzy C-Regression Based Structural Brain Imaging

Sex differences in the ability of corticostriatal oscillations to predict rodent alcohol consumption

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