Recent evidence indicates that the United States is facing a public health crisis of alcohol misuse and alcohol use disorder (AUD), which has been fueled in part by dramatic rises in binge and heavy drinking and prevalence of AUD in women. Historically, alcohol misuse and AUD have been more prevalent in men than in women. However, recent evidence on data from the past decade shows increases in AUD prevalence rates that are associated with substantially higher binge and heavy drinking and AUD prevalence in women compared to men. This paper first addresses the key roles of stress, trauma, childhood maltreatment, negative affect, and mood and anxiety disorders; sex differences in the presentation of these psychosocial and psychological factors; and their contributions to alcohol misuse, escalation to binge and heavy drinking, and transition to AUD in women. Also examined are potential central and peripheral biological mechanisms by which stressors and traumatic experiences, as well as chronic stress states—including depression and anxiety—may facilitate differential pathways to alcohol misuse, escalation, and transition to AUD in women. Finally, this paper discusses major gaps in the literature on sex differences in these areas as well as the need for greater research on sex-specific pathways to alcohol misuse and transition to AUD, so as to support a more comprehensive understanding of AUD etiology and for the development of new strategies for prevention and treatment of alcohol misuse and AUD in women.

Complex network analysis applied to the resting brain has shown that sets of highly interconnected networks with coherent activity may support a default mode of brain function within a global workspace. Perceptual processing of environmental stimuli induces architectural changes in network topology with higher specialized modules. Evidence shows that, during cognitive tasks, network topology is reconfigured and information is broadcast from modular processors to a connective core, promoting efficient information integration. In this study, we explored how the brain adapts its effective connectivity within the connective core and across behavioral states. We used complex network metrics to identify hubs and proposed a method of classification based on the effective connectivity patterns of information flow. Finally, we interpreted the role of the connective core and each type of hub on the network effectiveness. We also calculated the complexity of electroencephalography microstate sequences across different tasks. We observed that divergent hubs contribute significantly to the network effectiveness and that part of this contribution persists across behavioral states, forming an invariant structure. Moreover, we found that a large quantity of multiple types of hubs may be associated with transitions of functional networks.

Background: Low back pain (LBP) is the most common medical cause of disability among adults 65 or older. No previous study has characterized health care costs and treatment patterns of LBP among Medicare beneficiaries. Methods: This retrospective cohort study quantifies health care utilization costs among Medicare beneficiaries with newly diagnosed LBP, compares costs between patients managed operatively and nonoperatively, identifies costs associated with treatment guideline nonadherence, and characterizes opioid prescribing patterns. Patients were queried via ICD codes from a 20% random sample of Medicare claims records. Patients with concomitant or previous "red flag " diagnoses, neurological deficits, or diagnoses that could cause nondegenerative LBP were excluded. Total costs of care in the year of diagnosis were calculated and stratified by operative versus nonoperative management. To assess for guideline adherence, utilization and costs of different services were tabulated. Opioid prescription patterns were characterized by quantity, cost, duration, and medication type. Results: About 1,269,896 patients were identified; 23,919 (1.8%) underwent surgery. These accounted for 7% of the cohort's total cost ($514 million total, $21,496 per person). Patients treated nonoperatively accounted for over $7 billion in costs ($5,880 per person; p < .001). Within the nonoperative cohort, 626,896 (50.3%) patients were nonadherent to current guidelines for conservative management of LBP. Guideline nonadherence increased total annual costs by $4,012 per person ($7,873 for nonadherent vs. $3,861 for adherent patients, p < .001). About 460,867 opioid prescriptions were filled for 303,796 unique patients (23.9%) within 30 days of LBP diagnosis. Within the nonsurgical cohort, patients nonadherent to imaging guidelines were more likely to have an opioid prescription within this window than adherent patients (26.5% vs. 21.2%; p < .001). Conclusions: Nonoperative management of LBP is associated with significantly lower costs per patient. Early imaging and opioid prescription are significant drivers of excess cost. Adherence to proposed treatment guidelines can save over $2.8 billion in total health care costs.