Differences in negative life events between patients with anxiety disorders,depression and hypochondriasis

This study investigated whether some categories of adverse life events are differentially associated with specific types of emotional disorders. A life self-report measure of major life events was completed by 42 subjects with diagnoses of anxiety disorders, 46 subjects with major depression, 26 subjects with hypochondriasis and 73 nonclinical subjects (controls). As predicted, the onset of anxiety disorders, depression, and hypochondriasis appears to be differentially related with life stress of ‘threat’, ‘loss’, and ‘health’, respectively, previously experienced by the clinical subjects. Also, there were significant differences between clinical and nonclinical subjects on both perceived life stress and number of life events reported. Findings suggest a differential implication of psychosocial stress categories in particular emotional disorders (i.e., anxiety, depressive and hypochondriacal disorders). These results expand previous findings that have demonstrated an association between negative life events and psychopathology.     

Appraisal of Suicidal Risk Among Adolescents and Young Adults Through the Rorschach Test

The aims of this study are to investigate suicidal behaviors among adolescents and young adults and to test an index composed using Rorschach test responses related to an increased risk of suicide. Using a cross-sectional design, 4 groups were studied (according to criteria of the Columbia Classification Algorithm of Suicide Assessment [Posner, Oquendo, Gould, Stanley, &; Davies, 2007 Rierdan, J. 1978. Suicide and transparency responses on the Rorschach: A replication. Journal of Consulting and Clinical Psychology, 46: 1162–1163.  [Google Scholar]]): A group with suicidal ideation (n = 30), a group with parasuicidal behavior (n = 30), a group with near-lethal suicide attempts (n = 26), and a control group (n = 30). Responses to the Rorschach test yielded 6 potential indicators of suicidal behavior (scored according to Exner's Comprehensive System and the Suicidal Index for Adolescents; Silberg &; Armstrong, 1992 Stengel, E. 1975. Suicide and attempted suicide , 2nd ed., New York, NY: Aronson.  [Google Scholar]). Rorschach scores including at least 4 of these 6 indicators selected 69% of the people who had committed serious suicide attempts. The Rorschach Suicidal Index reached an acceptable reliability and was related to other criteria of suicide risk, such as the Beck Depression Inventory (BDI; Beck, Ward, Mendelsohn, Mock, &; Erbaugh, 1961 Beck, A. T., Ward, C. H., Mendelsohn, M., Mock, J. and Erbaugh, J. 1961. An inventory for measuring depression. Archives of General Psychiatry, 4: 561–571. [Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) and Linehan Reasons for Living Inventory (RFL–I; Linehan, Goodstein, Nielsen, &; Chiles, 1983 Menninger, K. 1938. Man against himself, New York, NY: Harcourt. [Crossref] , [Google Scholar]). Moreover, the Rorschach Suicidal Index showed incremental validity over the BDI and the RFL–I to predict suicidal behavior. A path analysis additionally showed that low social support was an important mediator between the Rorschach Suicidal Index and the number of suicide attempts committed by participants.     

State-Space Analysis of Working Memory in Schizophrenia: An FBIRN Study

The neural correlates of working memory (WM) in schizophrenia (SZ) have been extensively studied using the multisite fMRI data acquired by the Functional Biomedical Informatics Research Network (fBIRN) consortium. Although univariate and multivariate analysis methods have been variously employed to localize brain responses under differing task conditions, important hypotheses regarding the representation of mental processes in the spatio-temporal patterns of neural recruitment and the differential organization of these mental processes in patients versus controls have not been addressed in this context. This paper uses a multivariate state-space model (SSM) to analyze the differential representation and organization of mental processes of controls and patients performing the Sternberg Item Recognition Paradigm (SIRP) WM task. The SSM is able to not only predict the mental state of the subject from the data, but also yield estimates of the spatial distribution and temporal ordering of neural activity, along with estimates of the hemodynamic response. The dynamical Bayesian modeling approach used in this study was able to find significant differences between the predictability and organization of the working memory processes of SZ patients versus healthy subjects. Prediction of some stimulus types from imaging data in the SZ group was significantly lower than controls, reflecting a greater level of disorganization/heterogeneity of their mental processes. Moreover, the changes in accuracy of predicting the mental state of the subject with respect to parametric modulations, such as memory load and task duration, may have important implications on the neurocognitive models for WM processes in both SZ and healthy adults. Additionally, the SSM was used to compare the spatio-temporal patterns of mental activity across subjects, in a holistic fashion and to derive a low-dimensional representation space for the SIRP task, in which subjects were found to cluster according to their diagnosis.     

Hippocampal structure and human cognition: Key role of spatial processing and evidence supporting the efficiency hypothesis in females

Here we apply a method for automated segmentation of the hippocampus in 3D high-resolution structural brain MRI scans. One hundred and four healthy young adults completed twenty one tasks measuring abstract, verbal, and spatial intelligence, along with working memory, executive control, attention, and processing speed. After permutation tests corrected for multiple comparisons across vertices (p < .05), significant relationships were found for spatial intelligence, spatial working memory, and spatial executive control. Interactions with sex revealed significant relationships with the general factor of intelligence (g), along with abstract and spatial intelligence. These correlations were mainly positive for males but negative for females, which might support the efficiency hypothesis in women. Verbal intelligence, attention, and processing speed were not related to hippocampal structural differences.     

Fitting model-based psychometric functions to simultaneity and temporal-order judgment data: MATLAB and R routines

Research on temporal-order perception uses temporal-order judgment (TOJ) tasks or synchrony judgment (SJ) tasks in their binary SJ2 or ternary SJ3 variants. In all cases, two stimuli are presented with some temporal delay, and observers judge the order of presentation. Arbitrary psychometric functions are typically fitted to obtain performance measures such as sensitivity or the point of subjective simultaneity, but the parameters of these functions are uninterpretable. We describe routines in MATLAB and R that fit model-based functions whose parameters are interpretable in terms of the processes underlying temporal-order and simultaneity judgments and responses. These functions arise from an independent-channels model assuming arrival latencies with exponential distributions and a trichotomous decision space. Different routines fit data separately for SJ2, SJ3, and TOJ tasks, jointly for any two tasks, or also jointly for the three tasks (for common cases in which two or even the three tasks were used with the same stimuli and participants). Additional routines provide bootstrap p-values and confidence intervals for estimated parameters. A further routine is included that obtains performance measures from the fitted functions. An R package for Windows and source code of the MATLAB and R routines are available as Supplementary Files.     

Prediction and uncertainty in associative learning: examining controlled and automatic components of learned attentional biases

It has been suggested that attention is guided by two factors that operate during associative learning: a predictiveness principle, by which attention is allocated to the best predictors of outcomes, and an uncertainty principle, by which attention is allocated to learn about the less known features of the environment. Recent studies have shown that predictiveness-driven attention can operate rapidly and in an automatic way to exploit known relationships. The corresponding characteristics of uncertainty-driven attention, on the other hand, remain unexplored. In two experiments we examined whether both predictiveness and uncertainty modulate attentional processing in an adaptation of the dot probe task. This task provides a measure of automatic orientation to cues during associative learning. The stimulus onset asynchrony of the probe display was manipulated in order to explore temporal characteristics of predictiveness- and uncertainty-driven attentional effects. Results showed that the predictive status of cues determined selective attention, with faster attentional capture to predictive than to non-predictive cues. In contrast, the level of uncertainty slowed down responses to the probe regardless of the predictive status of the cues. Both predictiveness- and uncertainty-driven attentional effects were very rapid (at 250?ms from cue onset) and were automatically activated.     

Clinical Cancer Genetics Disparities among Latinos

The three major hereditary cancer syndromes in Latinos (Hereditary Breast and Ovarian Cancer, Familial Adenomatous Polyposis and Lynch Syndrome) have been shown to exhibit geographic disparities by country of origin suggesting admixture-based disparities. A solid infrastructure of clinical genetics geared towards diagnosis and prevention could aid in reducing the mortality of these cancer syndromes in Latinos. Currently, clinical cancer genetic services in Latin America are scarce. Moreover, limited studies have investigated the mutational spectrum of these cancer syndromes in Latinos resulting in gaps in personalized medicine affecting diagnosis, treatment and prevention. The following commentary discusses available genotype and clinical information on hereditary cancer in Latinos and highlights the limited access for cancer genetic services in Latin America including barriers to genetic testing and alternatives for providing better access to genetic services. In this review, we discuss the status of clinical genetic cancer services for both US Latinos and those Latinos living in Latin America.     

Meaning Coconstruction in Group Counseling: The Development of Innovative Moments

This study discusses a model of group counseling, the narrative mediation path (NMP), which is a unique narrative, multimodal approach that combines four narrative modes (metaphoric, iconographic, writing, and bodily) and the narrative group. The purpose of the NMP is to foster reflexive processes with underachieving university students and to improve their academic performance. The study analyzes a single case of group counseling for seven underachieving economics students at an Italian university and the process of meaning construction among NMP narrative modes and the follow-up session. It applies the innovative moments coding system, a reliable method for studying change by tracking narrative innovations in sessions. More specifically, we focus on how innovative moments (IMs: action, reflection, protest, and reconceptualization) evolve during the four different narrative modes and the follow-up session. The findings suggest that the NMP fosters narrative innovations, mainly of a reflexive nature (reflection and reconceptualization). Moreover, during counseling and the follow-up session, the pattern of change is primarily characterized by reconceptualization IMs, the most complex form of narrative innovation.