Affective variability in depression: Revisiting the inertia–instability paradox

How can depression be associated with both instability and inertia of affect? Koval et al. (2013, Emotion, 13, 1132) showed that this paradox can be solved by accounting for the statistical overlap between measures of affect dynamics. Nevertheless, these measures are still often studied in isolation. The present study is a replication of the Koval et al. study. We used experience sampling data (three times a day, 1 month) of 462 participants from the general population and a subsample thereof (N = 100) selected to reflect a uniform range of depressive symptoms. Dynamics measures were calculated for momentary negative affect scores. When adjusting for the overlap among affect dynamics measures, depression was associated with ‘dispersion’ (SD) but not ‘instability’ (RMSSD) or ‘inertia’ (AR) of negative affect. The association between dispersion and depression became non‐significant when mean levels of negative affect were adjusted for. These findings substantiate the evidence that the presumed association between depression and instability is largely accounted for by the SD, while the association between dispersion and depression may largely reflect mean levels of affect. Depression may thus not be related to higher instability per se, which would be in line with theories on the adaptive function of moment‐to‐moment fluctuations in affect.     

Movement Speed and Accuracy in Space and Time: The Complementarity of Error Distributions

Movement speed-accuracy trade-off is a function of the space-time constraints of the task. We investigated the space-time account of Hancock and Newell (1985) and the hypothesis of complementarity between the four moments of the error distribution in space and time. Twelve participants performed 15 conditions in a line drawing task composed of different spatial (10, 20, and 30 cm) and temporal (250 to 2,500 ms) criteria. The results showed that all moments of distributions changed systematically between conditions but there were some departures from the Hancock and Newell predictions. In contrast, individual analysis revealed the complementarity of the spatial and temporal error including a trade-off between the four moments of error. These findings support a complementary space-time account of movement speed and accuracy.     

The effect of educational environment on identity recognition and perceptions of within-person variability

Individuals from small communities show impoverished face recognition relative to those from large communities, suggesting that the number of faces to which one is exposed has a measurable effect on face processing abilities. We sought to extend these findings by examining a second factor that influences the population of faces to which one is exposed during childhood: educational setting. In particular, we examined whether formerly home-schooled participants show reduced performance relative to non-homeschoolers on the Cambridge Face Memory Test (CFMT) and on a sorting task in which participants sort photographs of two unfamiliar identities into piles representing the number of identities they believe are present. On the CFMT, there was no effect of educational setting. However, formerly home-schooled participants showed significant deficits on the sorting task. Such results suggest that reduced exposure to faces early in life as a function of home-schooling may have lasting effects on the face processing system.     

Exploring rates of transgender individuals and mental health concerns in an online sample

Background: Prevalence estimates of adults identifying as transgender are scarce, particularly in the United States. Method: The current study endeavored to estimate the prevalence of individuals identifying as transgender in a large online sample of adult U.S. residents (n = 6,727) and compare the prevalence of common mental health disorders (depression, anxiety, attention-deficit/hyperactivity disorder) and the age of onset for individuals identifying as men or women versus those identifying as transgender. Results: The prevalence estimate of individuals identifying as transgender was 0.8%. Individuals identifying as transgender were significantly more likely than individuals identifying as men or women to report having had a single diagnosis or co-occurring diagnoses for all three disorders examined. Additionally, transgender individuals were more likely than individuals identifying as men or women to receive a diagnosis of anxiety or depression at a younger age. Conclusion: Given the prevalence of transgender individuals and the associations with common mental health conditions, clinicians must be informed and competent to care for their clinical needs. This study introduces online crowdsourcing resources as a potentially fruitful option for reaching and researching gender diversity.     

The Effect of External and Internal Focus of Attention on Gait Variability in Older Adults

Internal focus of attention on a movement or focusing on an external target are both strategies that can affect motor performance. The authors explored whether manipulating subjects' focus of attention while walking would alter gait variability, a measure reflecting consistency of gait and associated with the risk of falling in older adults. Twenty community-living older adults participated in the study and were tested while focusing their attention on (a) gait consistency (internal focus) or (b) metronome beats (external focus). In both conditions gait variability increased (i.e., worsened p < .05) or did not change. No benefit was found in instructing subjects to focus on gait consistency or metronome beats. Such instructions may actually have distracted and interfered with the execution of gait.     

Virtual personalities: Using computational modeling to understand within-person variability

How can the same underlying psychological/neurobiological system result in both stable between-individual differences and high levels of within-individual variability in personality states over time and situations? We argue that both types of variability result from a psychological system based on structured, chronic motivations, where behavior at a specific point in time is a joint function of the current availability of motive affordances in the situation, current motivationally relevant bodily or interoceptive states, and the result of the competition among alternative active motives. Here we present a biologically-based theoretical framework, embodied in two different computational models, that shows how individuals with stable personality characteristics, can nevertheless exhibit considerable within-person variability in personality states across time and situations.     

The mindful eye: Smooth pursuit and saccadic eye movements in meditators and non-meditators

BackgroundThis study examined the effects of cultivated (i.e. developed through training) and dispositional (trait) mindfulness on smooth pursuit (SPEM) and antisaccade (AS) tasks known to engage the fronto-parietal network implicated in attentional and motion detection processes, and the fronto-striatal network implicated in cognitive control, respectively.MethodsSixty healthy men (19–59 years), of whom 30 were experienced mindfulness practitioners and 30 meditation-naïve, underwent infrared oculographic assessment of SPEM and AS performance. Trait mindfulness was assessed using the self-report Five Facet Mindfulness Questionnaire (FFMQ).ResultsMeditators, relative to meditation-naïve individuals, made significantly fewer catch-up and anticipatory saccades during the SPEM task, and had significantly lower intra-individual variability in gain and spatial error during the AS task. No SPEM or AS measure correlated significantly with FFMQ scores in meditation-naïve individuals.ConclusionsCultivated, but not dispositional, mindfulness is associated with improved attention and sensorimotor control as indexed by SPEM and AS tasks.     

Capturing the interplay among within- and between-person processes using multilevel modeling techniques

Multilevel modeling is an excellent way to analyze nested or clustered data of the type commonly collected through investigations into the linkages between psychological functioning and relationship processes. This article describes two especially relevant applications of multilevel modeling. The first application, growth curve analysis, is already familiar to many researchers and involves modeling individuals’ change trajectories over time and relating the derived change parameters to person-level characteristics or phenomena. The purpose of this paper is to emphasize a second application, multilevel process analysis, which involves modeling within-subject characteristics other than change over a representation of time. Multilevel analysis of within-subject processes is particularly well-suited for hypotheses common to clinical psychology investigations, yet has received substantially less attention in the literature than its growth curve counterpart. Types of research questions and methodologies that can be addressed within the multilevel process analysis framework are described. Finally, aspects of multilevel process analysis are demonstrated with daily diary data collected from wives who reported on their marital happiness and depressed mood for 3 weeks.