Exploring ways to mitigate the stress of the COVID-19 pandemic is important for long-term health. Expressive and gratitude-focused writing are effective methods to help individuals process traumatic or stressful events. Gratitude-focused writing may yield additional benefits because it helps individuals appraise events positively. We hypothesized that an online gratitude writing intervention would yield greater benefits than an expressive writing intervention or control group. Participants were randomized to one of three groups and completed assessments one-week and one-month post-intervention. The gratitude writing group maintained gratitude levels and decreased stress and negative affect at one-month post-intervention. The expressive writing group decreased in gratitude and showed no changes in stress or negative affect at one-month post-intervention. The control group decreased in gratitude and negative affect and showed no changes in stress at one-month post-intervention. Gratitude writing may be a better resource for dealing with stress and negative affect than traditional expressive writing methods under extremely stressful situations with uncertain trajectories.
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. 相似文献
Background and objectives: Previous research indicated that more left-lateralized prefrontal activation during cognitive reappraisal efforts was linked to a greater capacity for generating reappraisals, which is a prerequisite for the effective implementation of cognitive reappraisal in everyday life. The present study examined whether the supposedly appropriate brain activation is relevant in terms of more distal outcomes, i.e., chronic stress perception.Design and methods: Prefrontal EEG alpha asymmetry was recorded while female participants were generating reappraisals for stressful events and was correlated with their self-reported chronic stress levels in everyday life (n?=?80).Results: Women showing less left-lateralized brain activity in the ventrolateral prefrontal cortex during cognitive reappraisal efforts reported experiencing more stress in their daily lives. This effect was independent of self-efficacy beliefs in managing negative emotions.Conclusion: These findings underline the practical relevance of individual differences in appropriate brain activation during emotion regulation efforts and the assumedly related basic capacity for the generation of cognitive reappraisals to the feeling of being stressed. Implications include the selection of interventions for the improvement of coping with stress in women in whom the capability for appropriate brain activation during reappraisal efforts may be impaired, e.g., due to depression or old age. 相似文献
Network analysis is an emerging approach to functional connectivity in which the brain is construed as a graph and its connectivity and information processing estimated by mathematical characterizations of graphs. There has been little to no work examining the reproducibility of network metrics derived from different types of functional magnetic resonance imaging (fMRI) data (e.g., resting vs. task related, or pulse sequences other than standard blood oxygen level dependent [BOLD] data) or of measures of network structure at levels other than summary statistics. Here, we take up these questions, comparing the reproducibility of graphs derived from resting arterial spin-labeling perfusion fMRI with those derived from BOLD scans collected while the participant was performing a task. We also examine the reproducibility of the anatomical connectivity implied by the graph by investigating test–retest consistency of the graphs’ edges. We compare two measures of graph-edge consistency both within versus between subjects and across data types. We find a dissociation in the reproducibility of network metrics, with metrics from resting data most reproducible at lower frequencies and metrics from task-related data most reproducible at higher frequencies; that same dissociation is not recapitulated, however, in network structure, for which the task-related data are most consistent at all frequencies. Implications for the practice of network analysis are discussed. 相似文献
The MMPI and MMPI-2 validity scales have long been accepted as standard tools in the assessment of feigned mental disorders
(FMD) based on their extensive empirical validation. Studies are now examining MMPI-2-RF with modified validity scales plus
the new Infrequent Somatic Responses Scale (FS) and the recently-adapted Response Bias Scale (RBS). The current investigation used a known-groups design to examine the
effectiveness of the MMPI-2-RF for differentiating FMD and feigned cognitive impairment (FCI) from patients with genuine disorders
for a large civil forensic sample. Criterion measures included the Structured Interview of Reported Symptoms-2 (SIRS-2) for
the FMD group, and below-chance performances on the Victoria Symptom Validity Test (VSVT) and the Test of Memory Malingering
(TOMM) for the FCI group. For FMD, both F-r and FP-r produced very large effect sizes (ds > 2.00). Moreover, the absence of severe elevations (≥80 T) on F-r proved effective at ruling-out most FMD. For the current
study, a FP-r cut score ≥90 T for FMD produced virtually no false-positives (0.01) and only a moderate level of false-alarms. As predicted
by its detection strategies, most MMPI-2-RF validity scales have limited effectiveness with the FCI group. However, FBS-r
and RBS may be useful in conjunction with other clinical data for ruling out FCI for genuine neuropsychological consults.
An entirely separate concern is whether certain diagnostic groups, such as major depression, will have marked elevations on
MMPI-2-RF scales thereby increasing the likelihood of false-positives. On this point, FP-r performed exceptionally well with unelevated scores (Ms < 55 T) consistently across diagnostic categories. 相似文献