327 research outputs found

    Flag on the Play: The Impact of United States Antitrust Laws on the NCAA

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    Modular deconstruction reveals the dynamical and physical building blocks of a locomotion motor program

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    The neural substrates of motor programs are only well understood for small, dedicated circuits. Here we investigate how a motor program is constructed within a large network. We imaged populations of neurons in the Aplysia pedal ganglion during execution of a locomotion motor program. We found that the program was built from a very small number of dynamical building blocks, including both neural ensembles and low-dimensional rotational dynamics. These map onto physically discrete regions of the ganglion, so that the motor program has a corresponding modular organization in both dynamical and physical space. Using this dynamic map, we identify the population potentially implementing the rhythmic pattern generator and find that its activity physically traces a looped trajectory, recapitulating its low-dimensional rotational dynamics. Our results suggest that, even in simple invertebrates, neural motor programs are implemented by large, distributed networks containing multiple dynamical systems

    Application of the Implicit Association Test to a study on deception

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    Version of RecordThree experiments were conducted to find out whether the standard Implicit Association Test (IAT) could be used to distinguish truthful and deceitful witnesses. We anticipated that IAT effects would be greater after lying. Participants were asked to answer questions with incorrect answers (i.e., the lie condition) or correct answers (i.e., the truthful condition). A third group of participants were not interviewed (a control group). Participants then took the IAT, in which they were asked to associate correct and incorrect answers with positive or negative attributes. Results demonstrate that standard IAT effects are greater after lying than after truth telling, but only when attribute labels were clearly and explicitly linked to positive and negative affect. Theoretical implications are considered.Frost, P., Adie, M., Denomme, R., Lahaie, A., Sibley, A., & Smith, E.. (2010). Application of the Implicit Association Test to a Study on Deception. The American Journal of Psychology, 123(2), 221-230. http://www.jstor.org/stable/10.5406/amerjpsyc.123.2.022

    Stereotype efficiency reconsidered: Encoding flexibility under cognitive load.

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    The complexity of trauma exposure and response; profiling PTSD and CPTSD among a refugee sample

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    Objective: This study investigated the latent dimensional and categorical structure of ICD-11 Complex Posttraumatic Stress Disorder (CPTSD) within a refugee sample. Method: A subsample that identified as refugee (n = 308) was selected from the National Epidemiological Survey on Alcohol and Related Conditions (NESARC-II). Factor Mixture Modelling (FMM) was employed to establish the dimensional structure of CPTSD symptomology and the categorical distribution of these dimensions. It was then evaluated whether trauma history could differentiate between the distribution of trauma response profiles. Results: A correlated six-factor model with five latent classes was the best fitting model. Two classes were characterised by symptom profiles that were consistent with ICD-11 CPTSD and PTSD formulations. The remaining classes were characterised by non-specific variation across dimensions. CPTSD class membership was predicted by traumas that were predominantly interpersonal in nature (serious neglect, physical assault and sexual assault) while PTSD class membership was predicted by situational traumatic experiences (unarmed civilian in a conflict environment and a serious accident). A distinct dose response effect was evident between cumulative traumatic exposure and CPTSD class membership. Conclusion: FMM class profiles distinguished between PTSD and CPTSD symptom formulations. Moreover, class membership was determined by specific trauma exposure histories

    Management of depression and referral of older people to psychological therapies:a systematic review of qualitative studies

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    BACKGROUND: Depressive symptoms are common in later life and increase both the risk of functional and cognitive decline and the use of healthcare services. Despite older people expressing preferences for talking therapies, they are less likely to be referred than younger adults, particularly when aged ≥80 years. AIM: To explore how healthcare professionals (HCPs) manage older people in relation to depression and referrals to psychological therapies. DESIGN AND SETTING: Systematic review and thematic synthesis of qualitative studies. METHOD: MEDLINE, Embase, PsycINFO, CINAHL, and the Social Sciences Citation Index (inception-March 2018) were searched for studies exploring HCPs' views regarding management of late-life depression across all settings. Studies of older people's views or depression management across all ages were excluded. RESULTS: In total, 27 studies, were included; these predominantly focused on the views of GPs and primary and community care nurses. Many HCPs felt that late-life depression was mainly attributable to social isolation and functional decline, but treatments appropriate for this were limited. Clinicians perceived depression to have associated stigma for older adults, which required time to negotiate. Limited time in consultations and the complexity of needs in later life meant physical health was often prioritised over mental health, particularly in people with frailty. Good management of late-life depression appeared to depend more on the skills and interest of individual GPs and nurses than on any structured approach. CONCLUSION: Mental ill health needs to be a more-prominent concern in the care of older adults, with greater provision of psychological services tailored to later life. This may facilitate future identification and management of depression

    Revealing what is distinct by recognising what is common: distinguishing between complex PTSD and Borderline Personality Disorder symptoms using bifactor modelling

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    Background: Despite concerns of conceptual similarity, increasing evidence supports the discriminant validity of Complex Posttraumatic Stress Disorder (CPTSD) and Borderline Personality Disorder (BPD). However, all studies to date have assumed a categorical model of psychopathology. In contrast, dimensional models of psychopathology, such as the Hierarchical Taxonomy of Psychopathology model (i.e. HiTOP model), recognise shared vulnerability across supposedly discrete disorders. Accounting for shared vulnerability between CPTSD and BPD symptoms may help to better reveal what is unique about these constructs. Objective: To identify the distinct and shared features of CPTSD and BPD via the application of dimensional modelling procedures. Method: Confirmatory bifactor and confirmatory factor analysis were employed to identify the optimal latent structure of CPTSD and BPD symptoms amongst a convenience sample of Israeli adults (N = 617). Additionally, structural equation modelling was used to identify risk factors associated with these constructs. Results: The latent structure of CPTSD and BPD symptoms was best explained by a bifactor model including one ‘general’ factor (i.e. vulnerability to all symptoms) and three ‘specific’ correlated factors (i.e. vulnerability to PTSD, DSO, and BPD symptoms, respectively). CPTSD symptoms were more readily distinguished from the general factor whereas BPD symptoms were not as easily distinguished from the general factor. CPTSD symptoms reflecting a negative self-concept and BPD symptoms reflecting an alternating self-concept were the most distinctive features of CPTSD and BPD relative to the general factor, respectively. Most of the risk factors were associated with the general vulnerability factor, consistent with the predictions of dimensional models of psychopathology regarding shared risk across supposedly distinct psychiatric constructs. Conclusion: Consistent with a dimensional model of psychopathology, CPTSD and BPD shared a common latent structure but were still distinguishable. CPTSD and BPD symptoms may be most effectively distinguished based on the phenomenology of self-concept symptoms

    Am I lazy, a drama queen or depressed? A pluralistic analysis of participant and researcher data when analysing accounts of depression posted to an Ireland-based website.

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    The application of Pluralism in Qualitative Research (PQR) allows for a multi-perspective approach to understanding the nuanced social and psychological phenomenon. The complexity of what it means to qualitatively analyse and respond to sensitive data from the reflexive position of the analyst, is the focus of this paper. We introduce previous work in pluralism, and data from ReachOut.com, an online resource for young people in need of mental health advice in Ireland. We present our analysis of the posts from ReachOut.com which conveys the varied understandings of depression, from a medically understood illness, to a socially constructed lived experience. Analysis of the reflexive positioning of our group of experienced qualitative researchers highlights the need for support for those who engage with such data. Our findings reflect the outcomes and experience of using pluralism to examine mental health concerns which require further social, cultural and technological responses

    An Intraocular Pressure Polygenic Risk Score Stratifies Multiple Primary Open-Angle Glaucoma Parameters Including Treatment Intensity

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    Purpose: To examine the combined effects of common genetic variants associated with intraocular pressure (IOP) on primary open-angle glaucoma (POAG) phenotype using a polygenic risk score (PRS) stratification. Design: Cross-sectional study. Participants: For the primary analysis, we examined the glaucoma phenotype of 2154 POAG patients enrolled in the Australian and New Zealand Registry of Advanced Glaucoma, including patients recruited from the United Kingdom. For replication, we examined an independent cohort of 624 early POAG patients. Methods Using IOP genome-wide association study summary statistics, we developed a PRS derived solely from IOP-associated variants and stratified POAG patients into 3 risk tiers. The lowest and highest quintiles of the score were set as the low- and high-risk groups, respectively, and the other quintiles were set as the intermediate risk group. Main Outcome Measures: Clinical glaucoma phenotype including maximum recorded IOP, age at diagnosis, number of family members affected by glaucoma, cup-to-disc ratio, visual field mean deviation, and treatment intensity. Results: A dose–response relationship was found between the IOP PRS and the maximum recorded IOP, with the high genetic risk group having a higher maximum IOP by 1.7 mmHg (standard deviation [SD], 0.62 mmHg) than the low genetic risk group (P = 0.006). Compared with the low genetic risk group, the high genetic risk group had a younger age of diagnosis by 3.7 years (SD, 1.0 years; P < 0.001), more family members affected by 0.46 members (SD, 0.11 members; P < 0.001), and higher rates of incisional surgery (odds ratio, 1.5; 95% confidence interval, 1.1–2.0; P = 0.007). No statistically significant difference was found in mean deviation. We further replicated the maximum IOP, number of family members affected by glaucoma, and treatment intensity (number of medications) results in the early POAG cohort (P ≤ 0.01). Conclusions: The IOP PRS was correlated positively with maximum IOP, disease severity, need for surgery, and number of affected family members. Genes acting via IOP-mediated pathways, when considered in aggregate, have clinically important and reproducible implications for glaucoma patients and their close family members
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