Browsing by author "Hickie, Ian B."
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Alcohol use in bipolar disorder: A neurobiological model to help predict susceptibility, select treatments and attenuate cortical insult.
Chitty, Kate M.; Lagopoulos, Jim; Hickie, Ian B.; Hermens, Daniel F.Published 2015-09-01In a series of neurophysiological and neuroimaging studies we investigated the neurobiology related to alcohol use in young people with bipolar disorder. Impairments were identified across frontal and temporal representations ...Open AccessArticle -
Economic Rationality in Youth With Emerging Mood Disorders
Weinrabe, Angé; Chung, Hui-Kuan; Tymula, Agnieszka; Tran, James; Hickie, Ian B.Published 2020Cognitive difficulties are common in persons experiencing anxiety or mood disorders. In this article, we explore the economic concept of rational decision-making in young people with emerging mood disorders by using ...Open AccessArticle -
Hippocampal glutamatergic/NMDA receptor functioning in bipolar disorder: a combined MMN and 1H-MRS study
Chitty, Kate M.; Lagopoulos, Jim; Hickie, Ian B.; Hermens, Daniel F.Published 2015-08-30Disturbances in the hippocampal glutamate (Glu)/N-methyl-d-aspartate (NMDA) system have been implicated in the pathophysiology of bipolar disorder (BD). Here we aim to provide a targeted integration of two measures of ...Open AccessArticle -
A longitudinal proton magnetic resonance spectroscopy study investigating oxidative stress as a result of alcohol and tobacco use in youth with bipolar disorder
Chitty, Kate M.; Lagopoulos, Jim; Hickie, Ian B.; Hermens, Daniel F.Published 2015-04-01Alcohol and tobacco have been suggested to be "aggravating factors" for neuroprogression in bipolar disorder (BD), however the impact of these substances on the underlying neurobiology is limited. Oxidative stress is a key ...Open AccessArticle -
Predictive modelling of deliberate self-harm and suicide attempts in young people accessing primary care: a machine learning analysis of a longitudinal study
McHugh, Catherine M.; Ho, Nicholas; Iorfino, Frank; Crouse, Jacob J.; Nichles, Alissa; Zmicerevska, Natalia; Scott, Elizabeth; Glozier, Nick; Hickie, Ian B.Published 2023Purpose Machine learning (ML) has shown promise in modelling future self-harm but is yet to be applied to key questions facing clinical services. In a cohort of young people accessing primary mental health care, this study ...Open AccessArticle -
Sound Decision Making in Uncertain Times: Can Systems Modelling Be Useful for Informing Policy and Planning for Suicide Prevention?
Occhipinti, Jo-An; Rose, Danya; Skinner, Adam; Rock, Daniel; Song, Yun Ju C.; Prodan, Ante; Rosenberg, Sebastian; Freebairn, Louise; Vacher, Catherine; Hickie, Ian B.Published 2022The COVID-19 pandemic demonstrated the significant value of systems modelling in supporting proactive and effective public health decision making despite the complexities and uncertainties that characterise an evolving ...Article -
Which Social, Economic, and Health Sector Strategies Will Deliver the Greatest Impacts for Youth Mental Health and Suicide Prevention? Protocol for an Advanced, Systems Modelling Approach
Occhipinti, Jo-An; Skinner, Adam; Freebairn, Louise; Song, Yun Ju Christine; Ho, Nicholas; Lawson, Kenny; Lee, Grace Yeeun; Hickie, Ian B.Published 2021Background: Current global challenges are generating extensive social disruption and uncertainty that have the potential to undermine the mental health, wellbeing, and futures of young people. The scale and complexity of ...Article
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