Kin rejection: social signals,neural response and perceived distress during social exclusion

Across species, kin bond together to promote survival. We sought to understand the dyadic effect of exclusion by kin (as opposed to non‐kin strangers) on brain activity of the mother and her child and their subjective distress. To this end, we probed mother–child relationships with a computerized ball‐toss game Cyberball. When excluded by one another, rather than by a stranger, both mothers and children exhibited a significantly pronounced frontal P2. Moreover, upon kin rejection versus stranger rejection, both mothers and children showed incremented left frontal positive slow waves for rejection events. Children reported more distress upon exclusion than their own mothers. Similar to past work, relatively augmented negative frontal slow wave activity predicted greater self‐reported ostracism distress. This effect, generalized to the P2, was limited to mother‐ or child‐rejection by kin, with comparable magnitude of effect across kin identity (mothers vs. children). For both mothers and children, the frontal P2 peak was significantly pronounced for kin rejection versus stranger rejection. Taken together, our results document the rapid categorization of social signals as kin relevant and the specificity of early and late neural markers for predicting felt ostracism.     

Electrophysiological evidence for greater attention to threat when cognitive control resources are depleted

In this study, we investigated the time course of attentional bias for threat-related (angry) facial expressions under conditions of high versus low cognitive (working memory) load. Event-related potential (ERP) and reaction time (RT) data were recorded while participants viewed pairs of faces (angry paired with neutral face) displayed for 500 ms and followed by a probe. Participants were required to respond to the probe while performing a concurrent task of holding in working memory a sequence of digits that were either in the same order (low memory load) or in a random mixed order (high memory load). The ERP results revealed that higher working memory load resulted in enhanced lateralized neural responses to threatening relative to neutral faces, consistent with greater initial orienting of attention to threatening faces (early N2pc: 180–252 ms) and enhanced maintenance of processing representations of threat (late N2pc, 252–320 ms; SPCN, 320–500 ms). The ERP indices showed significant positive relationships with each other, and also with the behavioral index of attentional bias to threat (reflected by faster RTs to probes replacing angry than neutral faces at 500 ms), although the latter index was not significantly influenced by memory load. Overall, the findings indicate that depletion of cognitive control resources, using a working memory manipulation, increases the capacity of task-irrelevant threat cues to capture and hold attention.     

A graphical user interface for infant ERP analysis

Recording of event-related potentials (ERPs) is one of the best-suited technologies for examining brain function in human infants. Yet the existing software packages are not optimized for the unique requirements of analyzing artifact-prone ERP data from infants. We developed a new graphical user interface that enables an efficient implementation of a two-stage approach to the analysis of infant ERPs. In the first stage, video records of infant behavior are synchronized with ERPs at the level of individual trials to reject epochs with noncompliant behavior and other artifacts. In the second stage, the interface calls MATLAB and EEGLAB (Delorme & Makeig, Journal of Neuroscience Methods 134(1):9–21, 2004) functions for further preprocessing of the ERP signal itself (i.e., filtering, artifact removal, interpolation, and rereferencing). Finally, methods are included for data visualization and analysis by using bootstrapped group averages. Analyses of simulated and real EEG data demonstrated that the proposed approach can be effectively used to establish task compliance, remove various types of artifacts, and perform representative visualizations and statistical comparisons of ERPs. The interface is available for download from http://www.uta.fi/med/icl/methods/eeg.html in a format that is widely applicable to ERP studies with special populations and open for further editing by users.     

The role of partial knowledge in statistical word learning

A critical question about the nature of human learning is whether it is an all-or-none or a gradual, accumulative process. Associative and statistical theories of word learning rely critically on the later assumption: that the process of learning a word’s meaning unfolds over time. That is, learning the correct referent for a word involves the accumulation of partial knowledge across multiple instances. Some theories also make an even stronger claim: Partial knowledge of one word–object mapping can speed up the acquisition of other word–object mappings. We present three experiments that test and verify these claims by exposing learners to two consecutive blocks of cross-situational learning, in which half of the words and objects in the second block were those that participants failed to learn in Block 1. In line with an accumulative account, Re-exposure to these mis-mapped items accelerated the acquisition of both previously experienced mappings and wholly new word–object mappings. But how does partial knowledge of some words speed the acquisition of others? We consider two hypotheses. First, partial knowledge of a word could reduce the amount of information required for it to reach threshold, and the supra-threshold mapping could subsequently aid in the acquisition of new mappings. Alternatively, partial knowledge of a word’s meaning could be useful for disambiguating the meanings of other words even before the threshold of learning is reached. We construct and compare computational models embodying each of these hypotheses and show that the latter provides a better explanation of the empirical data.     

The Relation Between Parental Mental Illness and Adolescent Mental Health: The Role of Family Factors

Children of parents with a mental illness are often found to be at high risk of developing psychological problems themselves. Little is known about the role of family factors in the relation between parental and adolescent mental health. The current study focused on parent–child interaction and family environment. This cross-sectional questionnaire study included 124 families with a mentally ill parent and 127 families without a mentally ill parent who at the time of the study had children aged 11–16 years old. Parents completed questionnaires about their mental health, parent–child interaction (i.e., parental monitoring and parental support), and family environment (i.e., cohesion, expressiveness, and conflict). Adolescents reported their internalizing and externalizing problems. Path analyses were used to examine the direct associations between parental mental illness and adolescent problems as well as the indirect relations via parent–child interaction and family environment. The results showed that interaction between parents with a mental illness and their child was significantly worse compared to parents without a mental illness. The family environment of parents with mental illness was also more negative. Mentally ill parents monitored their adolescents less, which in turn related to more externalizing problems of the adolescents. No factors mediated the relation between parental mental health and adolescent internalizing problems. Moreover, no direct effects of parental support, family cohesion, and family expressiveness with externalizing problems were found. These findings imply that parental monitoring should get a specific focus of attention in existing interventions designed to prevent adolescents with a mentally ill parent from developing problems.     

Preachers who are not believers

There are systemic features of contemporary Christianity that create an almost invisible class of non-believing clergy, ensnared in their ministries by a web of obligations, constraints, comforts, and community. Exemplars from five Protestant denominations, Southern Baptist, United Church of Christ, Presbyterian, Methodist and Church of Christ, were found and confidentially interviewed at length about their lives, religious education and indoctrination, aspirations, problems and ways of coping. The in-depth, qualitative interviews formed the basis for profiles of all five, together with general observations about their predicaments and how they got into them. The authors anticipate that the discussion generated on the Web (at On Faith, the Newsweek/Washington Post website on religion, http://newsweek.washingtonpost.com/onfaith//2010/03/disbelief_in_the_pulpit/all.html) and on other websites will facilitate a larger study that will enable the insights of this pilot study to be clarified, modified, and expanded.     

Opening the black box: Presenting a model for evaluating organizational-level interventions

Organizational-level occupational health interventions are often recommended when improvements in working conditions, employee health, and well-being are sought within organizations. Research has revealed that these interventions result in inconsistent effects despite being based on theoretical frameworks. This inconsistency indicates that intervention studies need to be designed to examine directly how and why such interventions bring about change and why they sometimes fail. We argue that intervention studies should include a process evaluation that includes a close examination of the psychological and organizational mechanisms that hinder and facilitate desired intervention outcomes. By drawing on existing intervention literature we present an evidence-based model containing three levels of elements that appear to be crucial in process evaluation. We describe how this model may be applied and developed in future research to identify better the mechanisms that link intervention processes to intervention outcomes.     

Probabilistic cue combination: less is more

Learning about the structure of the world requires learning probabilistic relationships: rules in which cues do not predict outcomes with certainty. However, in some cases, the ability to track probabilistic relationships is a handicap, leading adults to perform non‐normatively in prediction tasks. For example, in the dilution effect, predictions made from the combination of two cues of different strengths are less accurate than those made from the stronger cue alone. Here we show that dilution is an adult problem; 11‐month‐old infants combine strong and weak predictors normatively. These results extend and add support for the less is more hypothesis: limited cognitive resources can lead children to represent probabilistic information differently from adults, and this difference in representation can have important downstream consequences for prediction.     

Age- and education-adjusted normative data for the Montreal Cognitive Assessment (MoCA) in older adults age 70–99

The original validation study for the Montreal Cognitive Assessment (MoCA) suggests a cutoff score of 26; however, this may be too stringent for older adults, particularly for those with less education. Given the rapidly increasing number of older adults and associated risk of dementia, this study aims to provide appropriate age- and education-adjusted norms for the MoCA. Data from 205 participants in an ongoing longevity study were used to derive normative data. Individuals were grouped based on age (70–79, 80–89, 90–99) and education level (≤12 Years, 13–15, ≥16 Years). There were significant differences between age and education groups with younger and more educated participants outperforming their counterparts. Forty-six percent of our sample scored below the suggested cutoff of 26. These normative data may provide a more accurate representation of MoCA performance in older adults for specific age and education stratifications.     

Appraisal of Memory Functioning and Memory Performance in Healthy Ageing and Early-Stage Alzheimer's Disease

ABSTRACT

Background/Aims: To compare memory evaluations in healthy older people and people with Alzheimer's disease (AD) and present standardised individual and dyadic methods for classifying degree of memory awareness in the participants with dementia. Methods: Cross-sectional study evaluating awareness of memory functioning and performance and providing normative data for healthy individuals and couples, together with comparison data from people with AD. Results: As a group, older people are reasonably accurate raters of their own memory functioning and performance, although considerable individual differences can be observed, and control dyads show good comparative accuracy. Comparing normative data from the control group to data from participants with AD confirms that significant overestimation is a frequent feature among people with dementia, with approximately two-thirds showing this pattern, although significant under-estimation is also reliably observed in a small proportion of people with dementia. Different types of measure elicit different profiles of memory awareness in participants with dementia. Conclusion: Normative data from older individuals and couples provides useful percentile-based indices for determining level of memory awareness in people with dementia.