A Computational Model of Mood and Future Prospects
Poster May 04, 2018
Rachel Bedder, Bastien Blain, Emily Lowther, Robb Rutledge
Mood disorders are characterized by changes in reaction to positive events, but studies examining mood in gambling have suggested these changes may not be different from control. Interrogating mood changes with a computational model may give insight into disorders like depression.
Profiling Personal Air Pollutant Exposures Using a Wearable Non-Selective Passive WristbandPoster
Characterizing cumulative exposure to air pollutant mixtures is a critical step in understanding disease development. The Fresh Air wristband was tested as a personal exposure assessment tool with promising results.READ MORE
Depression, Anxiety and Apathy in Young-Onset and Atypical Dementia: A systematic reviewPoster
This study aims to examine the body of empirical studies investigating the prevalence of depression, anxiety, and apathy in atypical and young-onset dementia.
Psychiatric Risk Gene Cacna1c and Early Life Stress: Potential Gene-Environment interactions?Poster
Early life stress (ELS) is highly associated with development of psychopathology
and mood disorders in adulthood. Genetic studies have identified variation in the gene calcium voltage-gated channel subunit alpha1C (CACNA1C) to increase risk for several psychiatric disorders. This poster assessed the expression of Cacna1c following prepubertal stress.
International Conference on Neurooncology and Neurosurgery
Sep 17 - Sep 18, 2018