Two of the most commonly abused substances by adolescents in the United States are alcohol and cannabis, both of which are associated with adverse medical and psychiatric outcomes throughout the lifespan. Both are assumed to impact the development of emotional processing although findings on the direction of this impact have been mixed. Preclinical animal work and some functional magnetic resonance imaging (fMRI) work with humans have suggested cannabis use disorder (CUD) and alcohol use disorder (AUD) are associated with threat responsiveness. However, other fMRI work has indicated CUD/AUD are associated with threat responsiveness. In this study, we report on a study examining the relationship of severity of CUD/AUD and threat responsiveness in an adolescent population. The study involved 87 (43 male) adolescents with varying levels of CUD/AUD symptomatology ( = 45 above clinical cutoffs for CUD or AUD). They were scanned with fMRI during a looming threat task that involved images of threatening and neutral human faces or animals that appeared to be either looming or receding. Increasing levels of CUD symptomatology were associated with responding to within regions, including rostral frontal and fusiform gyrus as well as the amygdala. There were no relationships with AUD symptomatology. These data indicate that CUD in particular is associated with a decrease in responsiveness to the looming threat cue possibly relating to the putative neurotoxic impact of cannabis abuse.
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Glob Chang Biol
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School of Biological Sciences, The University of Hong Kong, Hong Kong, China.
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University of Florida, Department of Wildlife Ecology and Conservation, Gainesville, Florida, USA.
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January 2025
School of Electrical Engineering, Southeast University, Nanjing, 210096, China.
In renewable power systems, the interaction between generators, power electronic devices, and the grid has led to frequent high-frequency oscillation (HFO) events. These events can result in significant generation losses and pose serious threats to system stability. Therefore, the rapid and accurate HFO parameter estimation is crucial for early warning and effective mitigation of HFO.
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Biozentrum, University of Basel, Basel, Switzerland.
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State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, and College of Resources and Environment, Northwest A&F University, Yangling, Shaanxi 712100, China; School of Agriculture and Environment, and The UWA Institute of Agriculture, The University of Western Australia, Perth, WA 6009, Australia. Electronic address:
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