Mapping the interplay among cognitive biases,emotion regulation,and depressive symptoms

Cognitive biases and emotion regulation (ER) difficulties have been instrumental in understanding hallmark features of depression. However, little is known about the interplay among these important risk factors to depression. This cross-sectional study investigated how multiple cognitive biases modulate the habitual use of ER processes and how ER habits subsequently regulate depressive symptoms. All participants first executed a computerised version of the scrambled sentences test (interpretation bias measure) while their eye movements were registered (attention bias measure) and then completed questionnaires assessing positive reappraisal, brooding, and depressive symptoms. Path and bootstrapping analyses supported both direct effects of cognitive biases on depressive symptoms and indirect effects via the use of brooding and via the use of reappraisal that was in turn related to the use of brooding. These findings help to formulate a better understanding of how cognitive biases and ER habits interact to maintain depressive symptoms.     

First Language Attrition Induces Changes in Online Morphosyntactic Processing and Re‐Analysis: An ERP Study of Number Agreement in Complex Italian Sentences

First language (L1) attrition in adulthood offers new insight on neuroplasticity and the role of language experience in shaping neurocognitive responses to language. Attriters are multilinguals for whom advancing L2 proficiency comes at the cost of the L1, as they experience a shift in exposure and dominance (e.g., due to immigration). To date, the neurocognitive mechanisms underlying L1 attrition are largely unexplored. Using event‐related potentials (ERPs), we examined L1‐Italian grammatical processing in 24 attriters and 30 Italian native‐controls. We assessed whether (a) attriters differed from non‐attriting native speakers in their online detection and re‐analysis/repair of number agreement violations, and whether (b) differences in processing were modulated by L1‐proficiency. To test both local and non‐local agreement violations, we manipulated agreement between three inflected constituents and examined ERP responses on two of these (subject, verb , modifier ). Our findings revealed group differences in amplitude, scalp distribution, and duration of LAN/N400 + P600 effects. We discuss these differences as reflecting influence of attriters’ L2‐English, as well as shallower online sentence repair processes than in non‐attriting native speakers. ERP responses were also predicted by L1‐Italian proficiency scores, with smaller N400/P600 amplitudes in lower proficiency individuals. Proficiency only modulated P600 amplitude between 650 and 900 ms, whereas the late P600 (beyond 900 ms) depended on group membership and amount of L1 exposure within attriters. Our study is the first to show qualitative and quantitative differences in ERP responses in attriters compared to non‐attriting native speakers. Our results also emphasize that proficiency predicts language processing profiles, even in native‐speakers, and that the P600 should not be considered a monolithic component.     

The Generalized Quantum Episodic Memory Model

Recent evidence suggests that experienced events are often mapped to too many episodic states, including those that are logically or experimentally incompatible with one another. For example, episodic over‐distribution patterns show that the probability of accepting an item under different mutually exclusive conditions violates the disjunction rule. A related example, called subadditivity, occurs when the probability of accepting an item under mutually exclusive and exhaustive instruction conditions sums to a number >1. Both the over‐distribution effect and subadditivity have been widely observed in item and source‐memory paradigms. These phenomena are difficult to explain using standard memory frameworks, such as signal‐detection theory. A dual‐trace model called the over‐distribution (OD) model (Brainerd & Reyna, 2008) can explain the episodic over‐distribution effect, but not subadditivity. Our goal is to develop a model that can explain both effects. In this paper, we propose the Generalized Quantum Episodic Memory (GQEM) model, which extends the Quantum Episodic Memory (QEM) model developed by Brainerd, Wang, and Reyna (2013). We test GQEM by comparing it to the OD model using data from a novel item‐memory experiment and a previously published source‐memory experiment (Kellen, Singmann, & Klauer, 2014) examining the over‐distribution effect. Using the best‐fit parameters from the over‐distribution experiments, we conclude by showing that the GQEM model can also account for subadditivity. Overall these results add to a growing body of evidence suggesting that quantum probability theory is a valuable tool in modeling recognition memory.     

Recognition Decisions From Visual Working Memory Are Mediated by Continuous Latent Strengths

Making recognition decisions often requires us to reference the contents of working memory, the information available for ongoing cognitive processing. As such, understanding how recognition decisions are made when based on the contents of working memory is of critical importance. In this work we examine whether recognition decisions based on the contents of visual working memory follow a continuous decision process of graded information about the correct choice or a discrete decision process reflecting only knowing and guessing. We find a clear pattern in favor of a continuous latent strength model of visual working memory–based decision making, supporting the notion that visual recognition decision processes are impacted by the degree of matching between the contents of working memory and the choices given. Relation to relevant findings and the implications for human information processing more generally are discussed.     

A Social Learning Perspective on Childhood Trauma and Same‐Sex Intimate Partner Violence

The family violence and childhood trauma literature has suggested that early adverse experiences create risk factors for intimate partner violence (IPV). Thus, this study used a sample of lesbian, gay, and bisexual (LGB) college students (N = 266) to explore differences among childhood trauma, same‐sex IPV, and IPV acceptance. The authors used survey methodology and multivariate analysis of variance. Results indicated that LGB individuals reporting childhood trauma also reported higher rates of IPV, suggesting implications for research and practice.     

The Impact of Life Transition on Emerging Adult Attachment,Social Support,and Well‐Being: A Multiple‐Group Comparison

Life transitions can induce distress for emerging adults. This study compared a model of the attachment, social support, and well‐being of emerging adults in transition with a model of those not in transition (N = 378). The transition sample reported less life satisfaction and environmental mastery and higher attachment avoidance than the nontransition sample. The transition sample showed weaker mediating effects of social support, suggesting that attachment accounted for additional unique variance for this group. Counseling implications are provided.     

Self‐Stigma of Mental Illness and Help Seeking Among School Counselors

The authors reported the findings from a correlational investigation examining the relationship between school counselors' (N = 333) self‐stigma of mental illness, help‐seeking behaviors, burnout, stress, and life satisfaction. The authors used a path analysis to test a hypothesized causal framework that self‐stigma of mental illness contributed to help‐seeking behaviors, which contributed to stress and burnout. The findings showed that the data fit the hypothesized model. The authors discuss the implications of the findings.     

Meta‐Analysis of Counseling Outcomes for Youth With Conduct Disorders

Twenty‐one clinical trials were synthesized using a random‐effects model, which substantiated that counseling generally produces a medium effect in treating conduct disorder in youth at termination (d + = 0.30 to 0.57; k = 28). However, the lasting effects at follow‐up were unclear because few follow‐up studies (k = 13) have been conducted (d + = ?0.53 to 0.58), and only 2 randomized controlled follow‐up studies were located. No effects of moderating variables were evident. Implications for counseling practice and outcome research are addressed.     

Relational‐Cultural Theory and Reality Therapy: A Culturally Responsive Integrative Framework

The authors propose an integration of relational‐cultural theory and reality therapy. The authors contend that the traditional assumptions of reality therapy are consistent with the relational aspects of relational‐cultural theory and together provide a culturally responsive approach for diverse clients. The authors also include an overview of the 2 theories as well as highlight the convergences and divergences. In addition, the authors present a case illustration depicting the integration method in practice.     

THE SCIENTIFIC CHARACTER OF PHILIP HEFNER'S “CREATED CO‐CREATOR”

Philip Hefner's understanding of humans as “created co‐creators” has played a key role in the science and religion field, particularly as scholars consider the implications of emerging technologies for the human future. Hefner articulates his “created co‐creator” framework in the form of scientifically testable hypotheses supporting his core understanding of human nature, adopting the structure of Imre Lakatos's scientific research programme. This article provides a brief exposition of Hefner's model, examines his hypotheses in order to assess their scientific character, and evaluates them against the relevant findings of contemporary science. While Hefner's model is largely commensurate with contemporary science, he at times makes claims that cannot be scientifically falsified or corroborated. Hefner's accomplishments in demonstrating the scientific compatibility of many theological notions is admirable; however, his overall position would be strengthened with a more tacit acknowledgment of the limitations of scientific knowledge. His anthropology draws also from extrascientific commitments and is all the richer for it.