Sensitive biomarkers of alcoholism's effect on brain macrostructure: similarities and differences between France and the United States

Functional and structural connectivity of the executive control network in college binge drinkers

Binge Drinking (BD) is a pattern of excessive alcohol consumption highly prevalent among college students, and has been associated with structural and functional alterations of brain networks. Recent advances in the resting-state connectivity analysis have boosted the research of the network-level connectivity disturbances associated with many psychiatric and neurological disorders, including addiction. Accordingly, atypical functional connectivity patterns in resting-state networks such as the Executive Control Network (ECN) have been found in substance users and alcohol-dependent individuals. In this study, we assessed for the first time the ECN functional and structural connectivity in a group of 34 college students, 20 (10 women) binge drinkers (BDs) in comparison with a group of 14 (8 women) alcohol abstinent controls (AACs). Overall, our findings documented increased resting-state functional connectivity (rsFC) in the BDs left middle frontal cortex of the left ECN in comparison to the AACs, while no structural connectivity differences were observed between groups. Pearson correlations revealed a positive association between the left middle frontal gyrus rsFC and the frequency of BD episodes per month, in the BD group. These findings suggest that maintaining a pattern of acute and intermittent alcohol consumption during important stages of brain development, as the transition from adolescence to adulthood, is associated with impaired ECN rsFC despite no group differences being yet noticed in the ECN structural connectivity.

Cerebral white matter sex dimorphism in alcoholism: a diffusion tensor imaging study

Excessive alcohol consumption is associated with brain aberrations, including abnormalities in frontal and limbic brain regions. In a prior diffusion tensor magnetic resonance imaging (dMRI) study of neuronal circuitry connecting the frontal lobes and limbic system structures, we demonstrated decreases in white matter fractional anisotropy in abstinent alcoholic men. In the present study, we examined sex differences in alcoholism-related abnormalities of white matter connectivity and their association with alcoholism history. The dMRI scans were acquired from 49 abstinent alcoholic individuals (26 women) and 41 nonalcoholic controls (22 women). Tract-based spatial statistical tools were used to estimate regional FA of white matter tracts and to determine sex differences and their relation to measures of alcoholism history. Sex-related differences in white matter connectivity were observed in association with alcoholism: Compared to nonalcoholic men, alcoholic men had diminished FA in portions of the corpus callosum, the superior longitudinal fasciculi II and III, and the arcuate fasciculus and extreme capsule. In contrast, alcoholic women had higher FA in these regions. Sex differences also were observed for correlations between corpus callosum FA and length of sobriety. Our results suggest that sexual dimorphism in white matter microstructure in abstinent alcoholics may implicate underlying differences in the neurobehavioral liabilities for developing alcohol abuse disorders, or for sequelae following abuse.

Impairment of Thiamine Transport at the GUT-BBB-AXIS Contributes to Wernicke's Encephalopathy

Wernicke's encephalopathy, a common neurological disease, is caused by thiamine (vitamin B1) deficiency. Neuropathy resulting from thiamine deficiency is a hallmark of Wernicke-Korsakoff syndrome in chronic alcohol users. The underlying mechanisms of this deficiency and progression of neuropathy remain to be understood. To uncover the unknown mechanisms of thiamine deficiency in alcohol abuse, we used chronic alcohol consumption or thiamine deficiency diet ingestion in animal models. Observations from animal models were validated in primary human neuronal culture for neurodegenerative process. We employed radio-labeled bio-distribution of thiamine, qualitative and quantitative analyses of the various biomarkers and neurodegenerative process. In the present studies, we established that disruption of thiamine transport across the intestinal gut blood-brain barrier axis as the cause of thiamine deficiency in the brain for neurodegeneration. We found that reduction in thiamine transport across these interfaces was the cause of reduction in the synthesis of thiamine pyrophosphate (TPP), an active cofactor for pyruvate dehydrogenase E1α (PDHE1α). Our findings revealed that decrease in the levels of PDHE1α cofactors switched on the activation of PD kinase (PDK) in the brain, thereby triggering the neuronal phosphorylation of PDHE1α (p-PDHE1α). Dysfunctional phosphorylated PDHE1α causes the reduction of mitochondrial aerobic respiration that led to neurodegeneration. We concluded that impairment of thiamine transport across the gut-BBB-axis that led to insufficient TPP synthesis was critical to Wernicke-neuropathy, which could be effectively prevented by stabilizing the thiamine transporters.

Alcohol use effects on adolescent brain development revealed by simultaneously removing confounding factors, identifying morphometric patterns, and classifying individuals

Group analysis of brain magnetic resonance imaging (MRI) metrics frequently employs generalized additive models (GAM) to remove contributions of confounding factors before identifying cohort specific characteristics. For example, the National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA) used such an approach to identify effects of alcohol misuse on the developing brain. Here, we hypothesized that considering confounding factors before group analysis removes information relevant for distinguishing adolescents with drinking history from those without. To test this hypothesis, we introduce a machine-learning model that identifies cohort-specific, neuromorphometric patterns by simultaneously training a GAM and generic classifier on macrostructural MRI and microstructural diffusion tensor imaging (DTI) metrics and compare it to more traditional group analysis and machine-learning approaches. Using a baseline NCANDA MR dataset (N = 705), the proposed machine learning approach identified a pattern of eight brain regions unique to adolescents who misuse alcohol. Classifying high-drinking adolescents was more accurate with that pattern than using regions identified with alternative approaches. The findings of the joint model approach thus were (1) impartial to confounding factors; (2) relevant to drinking behaviors; and (3) in concurrence with the alcohol literature.

Decreased subcortical volumes in alcohol dependent individuals: effect of polysubstance use disorder

Chronic alcohol use has widespread effects on brain morphometry. Alcohol dependent individuals are often diagnosed with comorbid substance use disorders. Alterations in brain morphometry may be different in individuals that are dependent on alcohol alone and individuals dependent on alcohol and other substances. We examined subcortical brain volumes in 37 individuals with alcohol dependence only (ADO), 37 individuals with polysubstance use disorder (PS) and 37 healthy control participants (HC). Participants underwent a structural MR scan and a model-based segmentation tool was used to measure the volume of 14 subcortical regions (bilateral thalamus, caudate, putamen, globus pallidus, hippocampus, amygdala and nucleus accumbens). Compared to HC, ADO had smaller volume in the bilateral hippocampus, right nucleus accumbens and right thalamus. PS only had volume reductions in the bilateral thalamus compared to HC. PS had a larger right caudate compared to ADO. Subcortical volume was negatively associated with drinking measures only in the ADO group. This study confirms the association between alcohol dependence and reductions in subcortical brain volume. It also suggests that polysubstance use interacts with alcohol use to produce limited subcortical volume reduction and at least one region of subcortical volume increase. These findings indicate that additional substance use may mask damage through inflammation or may function in a protective manner, shielding subcortical regions from alcohol-induced damage.

Self-awareness of cognitive dysfunction: Self-reported complaints and cognitive performance in patients with alcohol-induced mild or major neurocognitive disorder

Patients with Korsakoff's syndrome (KS) typically have difficulties in recognizing the impact of their alcohol-related cognitive deficits on daily-life functioning. In this study, mean scores on self-reported complaints (measured with Minnesota Multiphasic Personality Inventory-2-Restructured Form; MMPI-2-RF) and cognitive performance (measured with the Wechsler Adult Intelligence Scale-Third edition; WAIS-III; and the California Verbal Learning Test; CVLT) are compared between two matched patient groups with severe (KS) and mild alcohol-related cognitive disorders or non KS (NKS). KS patients demonstrate significantly lower scores on the WAIS-III indices and on the CVLT than the matched NKS group, and significantly higher scores on MMPI-2-RF validity scales that indicate denial of psychological complaints. Both groups are in the normal range on MMPI-2-RF Cognitive Complaints (COG) and Neurological Complaints (NUC) scales compared with the normative sample. Finally, self-reported complaints and cognitive performance are not correlated significantly in both groups. Despite their alcohol-related cognitive impairments, both groups report no cognitive complaints at all indicating self-awareness impairment. In addition to KS patients, also NKS patients are at risk that their apparently "without cognitive complaints" appearance on self-report questionnaires can be easily overlooked. These findings may have important clinical implications for diagnostic and treatment purposes.

Alcohol Consumption Does not Impede Recovery from Mild to Moderate Traumatic Brain Injury

OBJECTIVES

To examine the effect of pre-injury alcohol use, acute alcohol intoxication, and post-injury alcohol use on outcome from mild to moderate traumatic brain injury (TBI).

METHODS

Prospective inception cohort of patients who presented to the Emergency Department with mild to moderate TBI and had a blood alcohol level (BAL) taken for clinical purposes. Those who completed the 1-year outcome assessment were eligible for this study (N=91). Outcomes of interest were the count of post-concussion symptoms (British Columbia Post-Concussion Symptom Inventory), low neuropsychological test scores (Neuropsychological Assessment Battery), and abnormal regions of interest on diffusion tensor imaging (low fractional anisotropy). The main predictors were pre-injury alcohol consumption (Cognitive Lifetime Drinking History interview), BAL, and post-injury alcohol use.

RESULTS

The alcohol use variables were moderately to strongly inter-correlated. None of the alcohol use variables (whether continuous or categorical) were related to 1-year TBI outcomes in generalized linear modeling. Participants in this cohort generally had a good clinical outcome, regardless of their pre-, peri-, and post-injury alcohol use.

CONCLUSIONS

Alcohol may not significantly alter long-term outcome from mild to moderate TBI. (JINS, 2016, 22, 816-827).