Removal of epileptically compromised tissue in the frontal cortex restores oculomotor selection in the antisaccade task

The frontal cortex is heavily involved in oculomotor selection. Here, we investigated the neural correlates of eye movement selection during an antisaccade task in a young epileptic patient in whom the seizure focus included the frontal cortex and affected its function. Before resection surgery, the patient had difficulty in performing correct antisaccades towards the visual field contralateral to the seizure focus. Because the FEF is the only area in the human frontal cortex that is known to have a lateralized oculomotor function in the antisaccade task, this behavioural imbalance between the two visual fields suggests a disruption of FEF functioning by the nearby seizure focus. Electrocorticographic recordings at the seizure focus indeed showed that the seizure focus interfered with correct antisaccade performance. These results were in line with fMRI recordings revealing less task-related frontal activity for the hemisphere of the seizure focus, possibly reflecting diminished top-down engagement of the oculomotor system. Two months after removal of the compromised tissue, the seizures had disappeared, and antisaccade performance was the same for both visual hemifields. We conclude that a seizure focus in the frontal cortex can induce a dysfunction in the selection of eye movements, which is resolved after removal of interfering tissue.     

The Effect of PTSD Symptom Change on Suicidal Ideation in a Combined Military and Civilian Sample Engaged in Cognitive Processing Therapy

In light of the well-established relationship between posttraumatic stress disorder (PTSD) and suicidal ideation (SI), there has been a push for treatments that simultaneously improve symptoms of PTSD and decrease SI. Using data from a randomized controlled hybrid implementation-effectiveness trial, the current study investigated the effectiveness of Cognitive Processing Therapy (CPT; Resick, Monson, & Chard, 2016) on PTSD and SI. The patient sample (N = 188) was diverse in military and veteran status, gender, and comorbidity, and 73% of the sample endorsed SI at one or more points during CPT. Participants demonstrated significant improvement in SI over the course of CPT. Multilevel growth curve modeling revealed a significant association between PTSD symptom change and change in SI. Results from cross-lagged multilevel regressions indicated that PTSD symptoms predicted SI in the next session, yet SI in a given session did not predict PTSD symptoms in the next session. Potentially relevant clinical factors (i.e., military status, gender, depression diagnosis, baseline SI, study consultation condition) were not associated with the relationship between PTSD symptoms and SI. These results add to the burgeoning literature suggesting that evidence-based treatments for PTSD, like CPT, reduce suicidality in a range of individuals with PTSD, and that this reduction is predicted by improvements in PTSD symptoms.     

The overlooked ubiquity of first-person experience in the cognitive sciences

Synthese - Science aims to transform the subjectivity of individual observations and ideas into more objective and universal knowledge. Yet if there is any area in which first-person experience...     

Self‐Harm Focus Leads to Greater Collective Guilt: The Case of the U.S.‐Iraq Conflict

Collective guilt from harm one's group has caused an out‐group is often undermined because people minimize or legitimize the harm done (i.e., they generate exonerating cognitions). When a group action has harmed both the in‐group and an out‐group, focusing people on “self‐harm”—ways in which the in‐group has harmed itself—may elicit more collective guilt because self‐harm is less likely to be exonerated. In Study 1, American participants who focused on how the invasion of Iraq had harmed the United States expressed greater collective guilt over harm inflicted on the people of Iraq than those who focused on Iraqi suffering. Study 2 showed that this effect is due to reductions in exonerating cognitions among people focused on self‐harm. We consider the implications of these findings for intergroup reconciliation, particularly in situations where two groups have been involved in open conflict.     

The relationship between depressive symptoms and error monitoring during response switching

Heightened sensitivity to failure and negative information is thought to be an important maintenance mechanism for symptoms of depression. However, the specific neural and behavioral correlates of the abnormal reactions to errors associated with depression are not yet well understood. The present study was designed to shed new light on this issue by examining how depressive symptoms relate to error monitoring in the context of different task demands. We used a modified flanker task in which the stimulus–response (S–R) mappings were reversed between blocks, differentiating relatively easy nonreversal blocks from the more-demanding S–R reversal blocks. Undergraduates performed this task and then completed a self-report measure of anhedonic depression. The results revealed that depressive symptoms were related to poorer posterror accuracy in the more-difficult S–R reversal blocks, but not in the easier nonreversal blocks. Event-related brain potentials (ERPs) within a subsample of these participants further indicated that depressive symptoms were associated with reduced error positivity (Pe) amplitudes in both block types, suggesting that depressive symptoms were related to reduced attention allocation to errors across the easy and hard blocks. Finally, brain–behavior correlations indicated that highly depressed individuals failed to display a relationship between Pe amplitude and posterror accuracy in the S–R reversal blocks, a relationship that was intact in the low-depression group. Together, these results suggest that task demands play a critical role in the emergence of error-monitoring abnormalities in depression.     

A New Method for Analyzing Data From Visual Artwork

ABSTRACT

This article presents a novel data analytic approach to collect detailed information from visual artworks. This new method provides researchers with a framework to compare, analyze, and review in a systematic way large quantities of data from visual productions. Drawing on principles of art historical criticism, our research team devised a comprehensive coding scheme that captures both technical and content attributes. The coding scheme is configured to record specific, fundamental features for each artwork, providing an instrument for collecting data and cross-examining codes to reveal content in a unique and unbiased manner. For example, detailed data collected through individual codes can reveal clear patterns in the artistic treatment of composition and medium, providing evidence that the method could be adapted and applied for use in a variety of settings. To illustrate the method, this article presents examples from an empirical research study that was conducted at Harvard University's Project Zero. In this study, the coding scheme was applied to 414 pieces of artwork published in a teen art and literary magazine between 1990 and 2011. The coding scheme is defined and applied to 2 sample artworks, allowing readers to understand how this method can be used to record nuanced information about each work. Applying this analytic approach to visual art created in museums and informal learning settings can yield insights into artworks, their creators, and nuanced changes in creative production over time.