Janus LAAM-loaded electrospun fibrous buccal films for treating opioid use disorder.

The opioid crisis has claimed approximately one million lives in the United States since 1999, underscoring a significant public health concern. This surge in opioid use disorder (OUD) fatalities necessitates improved therapeutic options. Current OUD therapies often require daily clinical visits, leading to poor patient compliance and high costs to the health systems.

Sex and Gender Differences in Weight-Related Biopsychosocial Factors Among Adults Receiving Buprenorphine for Opioid Use Disorder.

Introduction: Medication for opioid use disorder (MOUD) is the most efficacious treatment for opioid use disorder (OUD). MOUD uptake and continuation may be impacted by health concerns, including weight gain, and social factors, such as food insecurity, that vary between men and women. This study aimed to describe sex and gender differences in body mass index (BMI) and weight-related demographic, psychosocial, and clinical characteristics among adults receiving buprenorphine for OUD.

Functional Brain Network Identification in Opioid Use Disorder Using Machine Learning Analysis of Resting-State fMRI BOLD Signals.

Understanding the neurobiology of opioid use disorder (OUD) using resting-state functional magnetic resonance imaging (rs-fMRI) may help inform treatment strategies to improve patient outcomes. Recent literature suggests temporal characteristics of rs-fMRI blood oxygenation level-dependent (BOLD) signals may offer complementary information to functional connectivity analysis. However, existing studies of OUD analyze BOLD signals using measures computed across all time points.

Integrating standard epilepsy protocol, ASL-perfusion, MP2RAGE/EDGE and the MELD-FCD classifier in the detection of subtle epileptogenic lesions: a 3 Tesla MRI pilot study.

Background: Malformations of cortical development (MCDs) in children with focal epilepsy pose significant diagnostic challenges, and a precise radiological diagnosis is crucial for surgical planning. New MRI sequences and the use of artificial intelligence (AI) algorithms are considered very promising in this regard, yet studies evaluating the relative contribution of each diagnostic technique are lacking.

Methods: The study was conducted using a dedicated "EPI-MCD MR protocol" with a 3 Tesla MRI scanner in patients with focal epilepsy and previously negative MRI.

Relationship between central autonomic effective connectivity and heart rate variability: A Resting-state fMRI dynamic causal modeling study.

The central autonomic network (CAN) serves as a regulatory hub with top-down regulatory control and integration of bottom-up physiological feedback via the autonomic nervous system. Heart rate variability (HRV)-the time variance of the heart's beat-to-beat intervals-is an index of the CAN's affective and behavioral regulatory capacity. Although neural functional connectivities that are associated with HRV and CAN have been well studied, no published report to date has studied effective (directional) connectivities (EC) that are associated with HRV and CAN.