1,720,954 research outputs found
Neurobiology of trichotillomania
Summary Trichotillomania (TTM) is a common debilitating impulse control disorder, which is under-recognized in clinical practice. New research shows interesting similarities between TTM, other impulse control disorders, and obsessive–compulsive disorder (OCD), while also revealing important differences in some endophenotypic measures. In this chapter we review new advances in genetic, family, neurocognitive, neuroimaging, and neuropharmacological studies. Neural abnormalities in the amygdalo–hippocampal formation and frontal–subcortical circuits are discussed. Animal models of hair pulling are also outlined and may prove a fruitful avenue for future research. IntroductionP: Trichotillomania is a neuropsychiatric disorder characterized by noticeable hair loss due to a recurrent failure to resist impulses to pull out hairs. The hair pulling is usually preceded by mounting tension and followed by a sense of relief or gratification (WHO 2002). It predominantly affects females (Swedo and Leonard 1992), and its onset is usually in late childhood and adolescence (Walsh and McDougle 2001). A subgroup with very early onset of hair pulling in children under the age of six may be more benign and self-limiting (Keren et al. 2006). Often accompanied by shame and distress, TTM is under-recognized in clinical practice and its prevalence is likely to be greater than currently understood (Bohne et al. 2005b). There have been no population-based epidemiological studies of TTM. In a sample of 2579 college students in the United States, a lifetime prevalence of TTM was seen in 0.6%, though subthreshold symptoms not reaching diagnostic criteria were identified in 1.5% of males and 3.4% of females (Christenson et al. 1991b).</p
Correlates of obsessive-compulsive and related disorders symptom severity during the COVID-19 pandemic
We investigated changes in the severity of obsessive-compulsive and related disorders (OCRDs) symptoms as a result of the COVID-19 pandemic. An Amazon Mechanical Turk sample of 829 individuals was evaluated with a series of instruments assessing the severity of the OCRDs before and during the pandemic. Additional questionnaires about sociodemographic factors, personal and family histories of OCRD, COVID-19 related events, compulsivity and impulsivity traits, schizotypal symptoms, and the severity of depression, anxiety and stress levels, were also used. Participants reported that OCD, hoarding disorder (HD) and skin picking disorder (SPD) symptoms significantly worsened during the pandemic along with increased disability, more affective symptoms and reduced quality of life. Female gender, a higher number of COVID-19 related stressful events, and higher pre-COVID-19 fear of harm and symmetry symptoms predicted more severe OCD symptoms during the pandemic, whereas lack of a HD diagnosis by a mental health professional and more severe schizotypal symptoms predicted worsened hoarding symptoms. Greater compulsivity traits were associated with more severe COVID-19 pandemic obsessive-compulsive and hoarding symptoms. These data indicate that the immense distress resulting from the COVID-19 included significant deterioration of OCRDs' symptoms, particularly of OCD, HD and SPD. It was also possible to identify a pre-pandemic profile of people most at risk of pandemic-related deterioration in OCRDs' symptoms, which may prove valuable for preventative initiatives in relation to the likely future waves of COVID-19 or of other communicable diseases. Future studies should follow up these findings longitudinally.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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