Mechanisms of motivation–cognition interaction: challenges and opportunities

Recent years have seen a rejuvenation of interest in studies of motivation–cognition interactions arising from many different areas of psychology and neuroscience. The present issue of Cognitive, Affective, & Behavioral Neuroscience provides a sampling of some of the latest research from a number of these different areas. In this introductory article, we provide an overview of the current state of the field, in terms of key research developments and candidate neural mechanisms receiving focused investigation as potential sources of motivation–cognition interaction. However, our primary goal is conceptual: to highlight the distinct perspectives taken by different research areas, in terms of how motivation is defined, the relevant dimensions and dissociations that are emphasized, and the theoretical questions being targeted. Together, these distinctions present both challenges and opportunities for efforts aiming toward a more unified and cross-disciplinary approach. We identify a set of pressing research questions calling for this sort of cross-disciplinary approach, with the explicit goal of encouraging integrative and collaborative investigations directed toward them.     

A Narrative Analysis of Sibling Grief

Sibling grief is linked to serious physical and mental health outcomes, yet remains the least researched of all family bereavement. This exploratory study created a shared sibling grief narrative. Open-ended interviews were conducted with 27 participants who lost a sibling. Primary themes included Shared Life: Identity Within the Sibling Arrangement; Sibling Death: Pivotal Moments in Time; Life After Sibling Loss: Emotional Suffering, Life After Sibling Loss: Missing Roles & Changing Relationships; and The Sibling Lives On. The following study findings clarify the overlooked impact that sibling death has on the surviving sibling and demonstrate the crucial need for more sibling loss research.     

A flexible and accurate method to estimate the mode and stability of spontaneous coordinated behaviors: The index-of-stability (IS) analysis

Patterns of coordination result from the interaction between (at least) two oscillatory components. This interaction is typically understood by means of two variables: the mode that expresses the shape of the interaction, and the stability that is the robustness of the interaction in this mode. A potent method of investigating coordinated behaviors is to examine the extent to which patterns of coordination arise spontaneously. However, a prominent issue faced by researchers is that, to date, no standard methods exist to fairly assess the stability of spontaneous coordination. In the present study, we introduce a new method called the index-of-stability (IS) analysis. We developed this method from the phase-coupling (PC) analysis that has been traditionally used for examining locomotion–respiration coordinated systems. We compared the extents to which both methods estimate the stability of simulated coordinated behaviors. Computer-generated time series were used to simulate the coordination of two rhythmic components according to a selected mode m:n and a selected degree of stability. The IS analysis was superior to the PC analysis in estimating the stability of spontaneous coordinated behaviors, in three ways: First, the estimation of stability itself was found to be more accurate and more reliable with the IS analysis. Second, the IS analysis is not constrained by the limitations of the PC analysis. Third and last, the IS analysis offers more flexibility, and so can be adapted according to the user’s needs.     

Automated respiratory sinus arrhythmia measurement: Demonstration using executive function assessment

Respiratory sinus arrhythmia (RSA) is a quantitative metric that reflects autonomic nervous system regulation and provides a physiological marker of attentional engagement that supports cognitive and affective regulatory processes. RSA can be added to executive function (EF) assessments with minimal participant burden because of the commercial availability of lightweight, wearable electrocardiogram (ECG) sensors. However, the inclusion of RSA data in large data collection efforts has been hindered by the time-intensive processing of RSA. In this study we evaluated the performance of an automated RSA-scoring method in the context of an EF study in preschool-aged children. The absolute differences in RSA across both scoring methods were small (mean RSA differences = –0.02–0.10), with little to no evidence of bias for the automated relative to the hand-scoring approach. Moreover, the relative rank-ordering of RSA across both scoring methods was strong (rs = .96–.99). Reliable changes in RSA from baseline to the EF task were highly similar across both scoring methods (96%–100% absolute agreement; Kappa = .83–1.0). On the basis of these findings, the automated RSA algorithm appears to be a suitable substitute for hand-scoring in the context of EF assessment.     

Differential Effects of Family Stress Exposure and Harsh Parental Discipline on Child Social Competence

Low family socioeconomic status (SES) is a robust risk factor for adverse child outcomes, yet the specific processes that account for this risk are not fully understood. This study examines whether and how variation in two adverse factors, stressful life events and harsh parental discipline, affect children’s social competence within a high-risk environment, and whether some children are more vulnerable to these effects than others. Data were collected from 207 families of kindergarten children at risk for behavioral maladjustment. Children’s physiological regulation (respiratory sinus arrhythmia; RSA) measured during rest was examined as a moderator of risk exposure. Results indicate that both greater exposure to life stress and harsh discipline were correlated with lower social competence. Although children’s resting RSA was not a direct predictor of their social competence, it moderated the association between life stress and social competence. Greater exposure to life stress was more strongly associated with lower social competence among children with lower resting RSA. Higher RSA may help to buffer the effects of stress and facilitate appropriate social development. RSA did not moderate the effects of harsh discipline. This differential pattern of findings suggests that children’s physiological regulation can facilitate an effective response to situational stressors, but may be less efficacious in buffering against stress in the context of the parent-child relationship.     

Do Subtle Linguistic Interventions Priming a Social Identity as a Voter Have Outsized Effects on Voter Turnout? Evidence From a New Replication Experiment

An ongoing debate in political psychology is about whether small wording differences have outsized behavioral effects. A leading example is whether subtle linguistic cues embedded in voter mobilization messages dramatically increase turnout. An initial study analyzing two small‐scale field experiments argued that describing someone as a voter (noun) instead of one who votes (verb) increases turnout rates 11 to 14 points because the noun activates a person's social identity as a voter. A subsequent study analyzing a large‐scale field experiment challenged this claim and found no effect. But questions about the initial claim's domain of applicability persist. The subsequent study may not have reproduced the conditions necessary for the psychological phenomenon to occur, specifically the electoral contexts were not competitive or important enough for the social identity to matter. To address the first of these critiques, as well as other potential explanations for different results between the first two studies, we conduct a large‐scale replication field experiment. We find no evidence that this minor wording change increases turnout levels. This research provides new evidence that the strategy of invoking the self does not appear to consistently increase turnout and calls into question whether subtle linguistic cues have outsized behavioral effects.     

The Incremental Validity of Self-Report and Performance-Based Methods for Assessing Hostility to Predict Cardiovascular Disease in Physicians

We evaluated the utility of an integrative, multimethod approach for assessing hostility-related constructs to predict premature cardiovascular disease (CVD) and premature coronary heart disease (CHD) using participants from the Johns Hopkins Precursors Study, which was designed to identify risk factors for heart disease. Participants were assessed at baseline while in medical school from 1946 to 1962 (M age = 24.6) and have been followed annually since then. Baseline assessment included individually administered Rorschach protocols (N = 416) scored for aggressive imagery (i.e., Aggressive Content, Aggressive Past) and self-reports of 3 possible anger responses to stress. Cox regression analyses predicting morbidity or mortality by age 55 revealed a significant interaction effect; high levels of Aggressive Content with high self-reported hostility predicted an increased rate of premature CVD and CHD, and incrementally predicted the rate of these events after controlling for the significant covariates of smoking (CVD and CHD) and cholesterol (CHD) that were also assessed at baseline. The hostility and anger measures, as well as other baseline covariates, were not predictors of CVD risk factors assessed at midlife during follow-up. Overall, this integrative model of hostility illustrates the potential value of multimethod assessment to areas of health psychology and preventive medicine.     

Does practice in category learning increase rule use or exemplar use—or both?

Categorization research has demonstrated the use of both rules and remembered exemplars in classification, although there is disagreement over whether learners shift from one to the other or use both strategies simultaneously. Theoretical arguments can motivate predictions for both rule use and exemplar use increasing with more practice. We describe a single large experiment (n = 190) that manipulated the number of training items (category size), the number of presentations of each training item, and the similarity between the training and the transfer stimuli in order to discover when rules and exemplars are most likely to be used. Results showed that rules and exemplars both influenced classification and that exemplars were used more often with smaller categories, with more training on items, and when test items were similar to training items. There was no consistent evidence of a shift from rule-based to exemplar-based categorization with more learning. Importantly, we found a number of conditions in which rules and exemplars were both used, even within individual participants. We discuss our results in terms of hybrid models of classification.     

Resolving Peer Disagreements Through Imprecise Probabilities

Two compelling principles, the Reasonable Range Principle and the Preservation of Irrelevant Evidence Principle, are necessary conditions that any response to peer disagreements ought to abide by. The Reasonable Range Principle maintains that a resolution to a peer disagreement should not fall outside the range of views expressed by the peers in their dispute, whereas the Preservation of Irrelevant Evidence (PIE) Principle maintains that a resolution strategy should be able to preserve unanimous judgments of evidential irrelevance among the peers. No standard Bayesian resolution strategy satisfies the PIE Principle, however, and we give a loss aversion argument in support of PIE and against Bayes. The theory of imprecise probability allows one to satisfy both principles, and we introduce the notion of a set‐based credal judgment to frame and address a range of subtle issues that arise in peer disagreements.