Mirror neurons are not evidence for the Simulation Theory

Recently, there as been a resurgence of interest in theories of mindreading. New discoveries in neuroscience have revitalized the languishing debate. The discovery of so-called mirror neurons has revived interest particularly in the Simulation Theory (ST) of mindreading. Both ST proponents and theorists studying mirror neurons have argued that mirror neurons are strong evidence in favor of ST over Theory Theory (TT). In this paper I argue against the prevailing view that mirror neurons are evidence for the ST of mindreading. My view is that on an appropriate construal of their function, mirror neurons do not operate like simulation theorists claim. In fact, mirror neurons are more appropriately understood as one element in an information-rich mindreading process. As such, mirror neurons fit in better with some sort of TT account of mindreading. I offer a positive account, the Model TT, which better explains the role of mirror neurons in social cognition.     

Does Complex or Simple Rhetoric Win Elections? An Integrative Complexity Analysis of U.S. Presidential Campaigns

Research suggests that the integrative complexity of political rhetoric tends to drop during election season, but little research to date directly addresses if this drop in complexity serves to increase or decrease electoral success. The two present studies help fill this gap. Study 1 demonstrates that, during the Democratic Party primary debates in 2003–2004, the eventual winners of the party nomination showed a steeper drop in integrative complexity as the election season progressed than nonwinning candidates. Study 2 presents laboratory evidence from the most recent presidential campaign demonstrating that, while the complexity of Obama's rhetoric had little impact on college students' subsequent intentions to vote for him, the complexity of McCain's rhetoric was significantly positively correlated with their likelihood of voting for him. Taken together, this research is inconsistent with an unqualified simple is effective view of the complexity‐success relationship. Rather, it is more consistent with a compensatory view: Effective use of complexity (or simplicity) may compensate for perceived weaknesses. Thus, appropriately timed shifts in complexity levels, and/or violations of negative expectations relevant to complexity, may be an effective means of winning elections. Surprisingly, mere simplicity as such seems largely ineffective.     

The role of negative affectivity and negative reactivity to emotions in predicting outcomes in the unified protocol for the transdiagnostic treatment of emotional disorders

The present study aimed to understand the contributions of both the trait tendency to experience negative emotions and how one relates to such experience in predicting symptom change during participation in the Unified Protocol (UP), a transdiagnostic treatment for emotional disorders. Data were derived from a randomized controlled trial comparing the UP to a waitlist control/delayed-treatment condition. First, effect sizes of pre- to post-treatment change for frequency of negative emotions and several variables measuring reactivity to emotional experience (emotional awareness and acceptance, fear of emotions, and anxiety sensitivity) were examined. Second, the relative contributions of change in negative emotions and emotional reactivity in predicting symptom (clinician-rated anxiety, depression, and severity of principal diagnosis) reductions were investigated. Results suggested that decreases in the frequency of negative emotions and reactivity to emotions following participation in the UP were both large in magnitude. Further, two emotional reactivity variables (fear of emotions and anxiety sensitivity) remained significantly related to symptom outcomes when controlling for negative emotions, and accounted for significant incremental variance in their prediction. These findings lend support to the notion that psychological health depends less on the frequency of negative emotions and more on how one relates to these emotions when they occur.     

The Patient–Doctor Relationship Questionnaire (PDRQ-9) in Primary Care: A Validity Study

This study assessed the validity of the Patient–Doctor Relationship Questionnaire-9 (PDRQ-9) in a primary care sample (N = 180). Convergent validity was assessed through a correlation between the patient-rated PDRQ-9 and the physician-rated Difficult Doctor Patient Relationship Questionnaire-10 (DDPRQ-10). Discriminant validity was assessed through correlations between the PDRQ-9 and patient age, patient- and physician-reported health and psychological distress. To determine if the PDRQ-9 could discriminate between groups, patient PDRQ-9 ratings were compared between patients who were treated by faculty physicians versus those who were treated by residents. An exploratory factor analysis confirmed that the PDRQ-9 was made up of a single factor. The PDRQ-9 scale was internally consistent (α = .96) and significantly and negatively correlated with the DDPRQ-10 (r = ?.22, p = .003) and was not significantly correlated with patient age, health, or psychological distress. PDRQ-9 ratings were statistically greater in patients who were treated by faculty physicians than those who were treated by residents (p = .01). This study provides additional support for the reliability and validity of the PDRQ-9 as a measure of the doctor–patient relationship in a primary care sample.     

Is It OK If Mommy Dates? The Influence of Mother’s Post-Divorce Dating Transitions for Children’s Behaviors

Journal of Child and Family Studies - Despite many mothers’ interest in establishing romantic relationships following divorce, some worry about the impacts of dating transitions, such as...     

Advancing Our Understanding of the Risk Factors Associated with Crossover Youth in the Child Welfare and Juvenile Justice Systems: A Trauma-Informed Research Agenda

Clinical Child and Family Psychology Review - Previous research has provided robust evidence demonstrating that a notable proportion of youth become involved in both the child welfare (CW) system...     

Automated Integrative Complexity: Current Challenges and Future Directions

Automating integrative complexity is fraught with many challenges. To address these challenges, we discuss the tension between a specificity approach and a more flexible multiple‐pass approach, the multifaceted nature of the complexity construct, the gold standard for complexity measurement, the difficulty of human scoring and its consequences for automation, and some ways forward for creating the best complexity measurements. In so doing, we present new data demonstrating (1) initial evidence for the validity of a new automated system for measuring two different forms of complexity (elaborative and dialectical), (2) the danger of constructing measurements in a purely ad hoc fashion that ignores prospective testing, (3) human‐to‐computer correspondence is in part a function of human‐to‐human correspondence, (4) human‐to‐computer correspondence increases systematically as one uses tests with larger units of analysis, and (5) the lack of correspondence of different systems (both human and automated) may occur in part because they were designed for different units of analysis.     

Weak ventral striatal responses to monetary outcomes predict an unwillingness to resist cigarette smoking

As a group, cigarette smokers exhibit blunted subjective, behavioral, and neurobiological responses to nondrug incentives and rewards, relative to nonsmokers. Findings from recent studies suggest, however, that there are large individual differences in the devaluation of nondrug rewards among smokers. Moreover, this variability appears to have significant clinical implications, since reduced sensitivity to nondrug rewards is associated with poorer smoking cessation outcomes. Currently, little is known about the neurobiological mechanisms that underlie these individual differences in the responsiveness to nondrug rewards. Here, we tested the hypothesis that individual variability in reward devaluation among smokers is linked to the functioning of the striatum. Specifically, functional magnetic resonance imaging was used to examine variability in the neural response to monetary outcomes in nicotine-deprived smokers anticipating an opportunity to smoke—circumstances found to heighten the devaluation of nondrug rewards by smokers in prior work. We also investigated whether individual differences in reward-related brain activity in those expecting to have access to cigarettes were associated with the degree to which the same individuals subsequently were willing to resist smoking in order to earn additional money. Our key finding was that deprived smokers who exhibited the weakest response to rewards (i.e., monetary gains) in the ventral striatum were least willing to refrain from smoking for monetary reinforcement. These results provide evidence that outcome-related signals in the ventral striatum serve as a marker for clinically meaningful individual differences in reward-motivated behavior among nicotine-deprived smokers.     

An Initial Investigation of the Factor-Analytic Structure of the Impact of Event Scale-Revised With a Volunteer Firefighter Sample

We provide an initial evaluation of the factor structure of the Impact of Event Scale-Revised (IES-R) when used with a volunteer firefighter and a similar community participant sample. A volunteer firefighter sample (n = 65) and a sample of similar community respondents (n = 103) completed a questionnaire study, including responses to the IES-R. The IES-R data from both groups were entered into a three-factor principal components analysis with direct oblimin rotation. We found further support for the validity of the IES-R when used with a community sample. However, our data suggested that when using the IES-R with a community sample, the choice between a two- and a three-factor model may depend on the composition of the participants. For volunteer firefighters, the factor-analytic structure of the IES-R appeared to be similar to that of the community sample, with more scatter in terms of item loadings. To our knowledge, there is no previous research considering the use of the IES-R with a strictly volunteer firefighter sample. In addition, despite adequate research on the factor-analytic structure of the original IES, little research has considered the factor-analytic structure of the more recent IES-R, even with community samples.