A5001601806- Transcranial Magnetic Stimulation Studies
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Neurological disorders and treatments
- Alcohol Consumption and Health Effects
- Bipolar Disorder and Treatment
- Substance Abuse Treatment and Outcomes
- Advanced Neuroimaging Techniques and Applications
- Attention Deficit Hyperactivity Disorder
- Fetal and Pediatric Neurological Disorders
- Electrolyte and hormonal disorders
- Child and Adolescent Psychosocial and Emotional Development
- Cannabis and Cannabinoid Research
- Sex and Gender in Healthcare
- Prenatal Substance Exposure Effects
- Advanced Causal Inference Techniques
- Traumatic Brain Injury Research
- Bayesian Modeling and Causal Inference
- Mental Health Research Topics
- Criminal Justice and Corrections Analysis
- Psychopathy, Forensic Psychiatry, Sexual Offending
- Eating Disorders and Behaviors
- Philosophy and History of Science
- Healthcare Decision-Making and Restraints
- Urban, Neighborhood, and Segregation Studies
University of Minnesota Medical Center
2019-2023
University of Minnesota
2021-2022
National Institute on Drug Abuse
2018-2019
National Institutes of Health
2018
University of Michigan
2017
Abstract A growing literature suggests that adversity is associated with later altered brain function, particularly within the corticolimbic system supports emotion processing and salience detection (e.g., amygdala, prefrontal cortex [PFC]). Although neighborhood socioeconomic disadvantage has been shown to predict maladaptive behavioral outcomes, for boys, most of research linking function focused on family‐level adversities. Moreover, although animal models studies normative development...
There are no effective treatments for cocaine use disorder (CUD), a chronic, relapsing brain disease characterized by dysregulated circuits related to cue reactivity, reward processing, response inhibition, and executive control. Transcranial magnetic stimulation (TMS) has the potential modulate networks implicated in neuropsychiatric disorders, including addiction. Although acute applications of TMS have reduced craving urine-negative users, tolerability safety administering accelerated...
A large number of different mechanisms have been linked to Alcohol Use Disorder (AUD), including psychosocial, neurocognitive, affective, and neurobiological factors. Gender has shown impact the presentation progression AUD; yet, little work done parse underlying AUD within lens gender differences. review literature on adolescence revealed that psychosocial factors, in particular lack family social support interactions with peers, drive onset alcohol use more strongly girls relative boys....
Cannabis Use Disorder (CUD) has been linked to a complex set of neuro-behavioral risk factors. While many studies have revealed sex and gender differences, the relative importance these factors by not described. We used an "explainable" machine learning approach that combined decision trees [gradient tree boosting, XGBoost] with factor ranking tools [SHapley's Additive exPlanations (SHAP)] investigate differences in CUD. confirmed previously identified environmental, personality, mental...
Background In 2016, over 11 million individuals were admitted to prisons and jails in the United States. Because majority of these will return community, addressing their health needs requires coordination between community correctional care providers. However, few systems exist facilitate this process little is known about how physicians perceive manage transitions. Objective The goal study was characterize physicians’ views on transitions both into out incarceration describe knowledge a...
Abstract Background Cannabis Use Disorder (CUD) has been linked to environmental, personality, mental health, neurocognitive and neurobiological risk factors. While many studies have revealed gender differences in CUD, the relative importance of these complex factors by not described. Methods We conducted a data-driven examination CUD community sample young adults (Human Connectome Project [HCP]; n = 1204, 54% female). employed state-of-the-art machine learning methods [gradient tree...