Risk Patterns and Correlated Brain Activities. Multidimensional Statistical Analysis of fMRI Data in Economic Decision Making Study

Decision making usually involves uncertainty and risk. Understanding which parts of the human brain are activated during decisions under risk and which neural processes underly (risky) investment decisions are important goals in neuroeconomics. Here, we analyze functional magnetic resonance imaging (fMRI) data on 17 subjects who were exposed to an investment decision task from Mohr, Biele, Krugel, Li, and Heekeren (in NeuroImage 49, 2556–2563, 2010b). We obtain a time series of three-dimensional images of the blood-oxygen-level dependent (BOLD) fMRI signals. We apply a panel version of the dynamic semiparametric factor model (DSFM) presented in Park, Mammen, Wolfgang, and Borak (in Journal of the American Statistical Association 104(485), 284–298, 2009) and identify task-related activations in space and dynamics in time. With the panel DSFM (PDSFM) we can capture the dynamic behavior of the specific brain regions common for all subjects and represent the high-dimensional time-series data in easily interpretable low-dimensional dynamic factors without large loss of variability. Further, we classify the risk attitudes of all subjects based on the estimated low-dimensional time series. Our classification analysis successfully confirms the estimated risk attitudes derived directly from subjects’ decision behavior.     

Leader personality and 360‐degree assessments of leader behavior

To investigate the relationship between personality and multi‐source feedback, we assessed 190 health care managers by applying the Understanding Personal Potential personality test, which provides comprehensive measurement of the Big Five dimensions and eight narrower personality traits. Managers' leadership behaviors were assessed by colleagues, supervisors, a random sample of each manager's subordinates as well as the managers themselves using a 360‐degree change, production, employee (CPE) instrument. Hierarchical multivariate regression analysis showed that the Big Five variables were significantly related to the Managers' leadership behavior in all CPE dimensions. Also, addition of narrow personality variables to the Big Five increased explained variance in leadership behavior. This study is the first of its kind to include the full range of viewpoints in a 360‐degree instrument, along with a large number of subordinate assessments. We found that both the strength of the relationship between personality and behavior and the configuration of different predictors varied depending on who did the rating and what leadership orientation was investigated, and this observation merits further investigation.     

The Trauma Related Shame Inventory: Measuring Trauma-Related Shame Among Patients with PTSD

This article proposes a new measurement instrument of trauma-related shame. The purpose of this study is to investigate the psychometric properties of the scores derived from the Trauma Related Shame Inventory (TRSI) by means of generalizability theory (G-theory). The psychometric analyses are based on a sample of 50 patients in treatment for Post-traumatic Stress Disorder (PTSD). The results provided supporting construct validity evidence for the interpretation of TRSI as a homogeneous construct. The 24-item version of internal and external referenced shame yielded generalizability and dependability coefficients of .874 and .868, respectively. The distinction between shame and guilt was supported by a high generalizability coefficient of .812 for the difference scores between TRSI and guilt cognition scale. Further validity evidence was provided by a positive relationship between TRSI and a) self-judgment subscale in Self-Compassion Scale (SCS; Neff Self and Identity 2:(3), 223–250, 2003) and b) Beck Depression Inventory (Beck Steer and Brown 1996a) when controlled for guilt. The results of the present study provided promising support for using the 24-item version of TRSI in both clinical research and practice.     

Concept Formation and Concept Grounding

Recently Carrie S. Jenkins formulated an epistemology of mathematics, or rather arithmetic, respecting apriorism, empiricism, and realism. Central is an idea of concept grounding. The adequacy of this idea has been questioned e.g. concerning the grounding of the mathematically central concept of set (or class), and of composite concepts. In this paper we present a view of concept formation in mathematics, based on ideas from Carnap, leading to modifications of Jenkins’s epistemology that may solve some problematic issues with her ideas. But we also present some further problems with her view, concerning the role of proof for mathematical knowledge.     

Exogenous attention can be counter-selective: onset cues disrupt sensitivity to color changes

In peripheral spatial cueing paradigms, exogenous attentional capture is commonly observed after salient onset cues or with cues contingent on target characteristics. We proposed that exogenously captured attention disrupts the selectivity to target features. We tested this by experimentally emulating the everyday observation that in a viewing situation in which the observer is monitoring a stationary display fort change to occur, the onset of a salient stimulus (onset cue) or a change in a stationary stimulus similar to the expected one (contingent cue) has a distracting effect. As predicted, we found that both types of cues reduced the target detection sensitivity but enhanced the bias to respond in a go-nogo-paradigm. With the onset cue, the sensitivity loss was more pronounced at the side of the cue, whereas the contingent cue affected both sides likewise. Moreover, the effects of the onset cue interacted with the task difficulty: the more selectivity a task required the more immune it was against disruption, but the more likely was a response. We concluded that onset capture disrupts selective attention by adding noise to the processing of the target location. The effects of contingent capture could be explained with cue-target confounding. Finally, we suggest a new model of attentional capture in which exogenous and endogenous components interact in a dynamic way.