2,311 research outputs found
Interview with Shannon Araya
Shannon Araya, Human Resources Coordinator at Wake Forest University, interviewed by Thomas Coo
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Intolerance of uncertainty and novelty facilitated extinction: the impact of reinforcement schedule
Individuals who score high in Intolerance of Uncertainty (IU) display reduced threat extinction. Recently, it was shown that replacing threat associations with novel associations during extinction learning (i.e. presenting a novel tone 100% of the time) can promote threat extinction retention in individuals with high IU. This novelty facilitated extinction (NFE) effect could be driven by the tone’s novelty or reliability. Here we sought to address this question by adjusting the reliability of the novel tone (i.e., the reinforcement rate) during NFE. We measured skin conductance response during an associative learning task in which participants (n = 92) were assigned to one of three experimental groups: standard extinction, NFE 100% reinforcement or NFE 50% reinforcement. For standard extinction, compared to NFE 100% and 50% reinforcement groups, we observed a trend for greater recovery of the conditioned response during extinction retention. Individuals with high IU relative to low IU in the standard extinction group demonstrated a larger recovery of the conditioned response during extinction retention. These findings tentatively suggest that NFE effects are driven by the novelty rather than the reliability of the new stimulus. The implications of these findings for translational and clinical research in anxiety disorder pathology are discussed
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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Quantification choices for individual differences: an example of mapping self-report to psychophysiological responses
A popular focus in affective neuroscience research has been to map the relationships between individual differences (e.g. personality and environmental experiences) and psychophysiological responses, in order to further understand the effect of individual differences upon neurobehavioral systems that support affect and arousal. Despite this trend, there have been a lack of practical examples demonstrating how the quantification of individual differences (e.g. categorical or continuous) impacts the observed relationships between different units of analysis (e.g. self-report > psychophysiological responses). To address this gap, we conducted a two-stage aggregated meta-analysis of self-reported intolerance of uncertainty (IU) and skin conductance responses during threat extinction (k = 18, n = 1006) using different quantification choices for individual differences in self-reported intolerance of uncertainty (continuous, categorical via median split, and categorical via extremes – one standard deviation above/below). Results from the meta-analyses revealed that the different quantification techniques produced some consistent (e.g. higher IU was significantly associated with skin conductance responding during late extinction training) and inconsistent IU-related effects. Furthermore, the number of statistically significant effects and effect sizes varied based on the quantification of individual differences in IU (e.g. categorical, compared to continuous was associated with more statistically significant effects, and larger effect sizes). The current study highlights how conducting different quantification methods for individual differences may help researchers understand the individual difference construct of interest (e.g. characterisation, measurement), as well as examine the stability and reliability of individual difference-based effects and correspondence between various units of analysis
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I doubt it is safe: a meta-analysis of self-reported intolerance of uncertainty and threat extinction training
Background
Intolerance of uncertainty (IU), the tendency to find uncertainty distressing, is an important transdiagnostic dimension in mental health disorders. Higher self-reported IU has been linked to poorer threat extinction training (i.e. the updating of threat to safe associations), a key process that is targeted in exposure-based therapies. However, it remains to be seen whether IU-related effects during threat extinction training are reliably and specifically driven by the IU construct or a particular subcomponent of the IU construct over other self-reported measures of anxiety.
Methods
A meta-analysis of studies from different laboratories (experiment n = 18; sample n = 1006) was conducted on associations between different variants of self-reported IU (i.e. 27-item, 12-item, inhibitory and prospective subscales), trait anxiety and threat extinction training via skin conductance response. The specificity of IU and threat extinction training was assessed against measures of trait anxiety.
Results
All of the self-reported variants of IU, but not trait anxiety, were associated with threat extinction training via skin conductance response (i.e. continued responding to the old threat cue). Specificity was observed for the majority of self-reported variants of IU over of trait anxiety.
Conclusions
The findings suggest that the IU construct broadly accounts for difficulties in threat extinction training and is specific over other measures of self-reported anxiety. These findings demonstrate the robustness and specificity of IU-related effects during threat extinction training and highlight potential opportunities for translational work to target uncertainty in therapies that rely on threat extinction principles such as exposure therapy
Professor Angela Shannon
Angela Shannon shares her poetry with the Taylor community.
Angela Shannon is the author of Singing the Bones Together, a 2004 Minnesota Book Awards Finalist. She teaches English at Bethel University. Her work has been published in journals, textbooks, and anthologies, including TriQuarterly, Ploughshares, Where One Ends Another Begins: 150 Years of Minnesota Poetry, and Beyond the Frontier: African American Poetry for the 21st Century. Her choreopoem Root Woman premiered at the Fleetwood-Jourdain Theater in Evanston, Ill
UA94/6/1/4 George Shannon Interview
Interview of George Shannon, WKU Class of 1974, author of children\u27s books and storyteller regarding his books and visit to WKU in 1990
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How many times do I need to see to believe? The impact of intolerance of uncertainty and exposure experience on safety-learning and retention in young adults
Individuals who score high in self-reported Intolerance of Uncertainty (IU) display difficulties updating threat associations to safe associations. Here we sought to determine whether individuals who score high in IU can learn and retain new safety associations if given more exposure. We recorded skin conductance response, pupil dilation and expectancy ratings during an associative threat learning task with acquisition, same-day extinction and next-day extinction phases. Participants (n = 144) were assigned to either a regular exposure (32 trials of same-day and next-day extinction) or extended exposure condition (48 trials of same-day and next-day extinction). We failed to replicate previous work showing that IU is associated with poorer safety-learning indexed via SCR. We found preliminary evidence for promoted safety-retention in individuals with higher Inhibitory IU in the extended exposure condition, relative to individuals with higher Inhibitory IU in the regular exposure condition, indexed via SCR. These findings further our current understanding of the role of IU in safety-learning and -retention, informing models of IU and exposure-based treatments
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The impact of intolerance of uncertainty and cognitive behavioural instructions on safety learning
Background
Difficulty updating threat associations to safe associations has been observed in individuals who score high in self-reported Intolerance of Uncertainty (IU). Here we sought to determine whether an instruction based on fundamental principles of Cognitive Behavioural Therapy could promote safety learning in individuals with higher levels of IU, whilst controlling for self-reported trait anxiety (STICSA).
Methods
We measured skin conductance response, pupil dilation and expectancy ratings during an associative threat learning task in which participants either received a cognitive behavioural instruction or no instruction prior to threat extinction (n = 92).
Results
Analyses revealed that both self-reported IU and STICSA similarly predicted differences in skin conductance response. Only individuals with lower IU/STICSA in the cognitive behavioural instruction condition displayed successful safety learning via skin conductance response.
Conclusions
These initial results provide some insight into how simple cognitive behavioural instructions combined with exposure are applied differently in individuals with varying levels of self-reported anxiety. The results further our understanding of the role of basic cognitive behavioural principles and self-reported anxiety in safety learning
Interview with Elizabeth Janeway, author
Author of The Walsh Girls, Man's World, and Woman's Place, Elizabeth Janeway is interviewed by Milwaukee TV and radio moderator Winifred Ryhn and Claudine Shannon, assistant professor of Community Affairs at the University of Wisconsin-Extension. She explores how societal attitudes are shaped and how they have determined the traditional roles of men and women.GrayscaleSoun
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