Linking the neural signature of response time variability to Alzheimer's disease pathology and cognitive functioning.

Promising evidence has suggested potential links between mind-wandering and Alzheimer's disease (AD). Yet, older adults with diagnosable neurocognitive disorders show reduced meta-awareness, thus questioning the validity of probe-assessed mind-wandering in older adults. In prior work, we employed response time variability as an objective, albeit indirect, marker of mind-wandering to identify patterns of functional connectivity that predicted mind-wandering. In the current study, we evaluated the association of this connectome-based, mind-wandering model with cerebral spinal fluid (CSF) p-tau/Aß 42 ratio in 289 older adults from the Alzheimer's Disease NeuroImaging Initiative (ADNI). Moreover, we examined if this model was similarly associated with individual differences in composite measures of global cognition, episodic memory, and executive functioning. Edges from the high response time variability model were significantly associated with CSF p-tau/Aß ratio. Furthermore, connectivity strength within edges associated with high response time variability was negatively associated with global cognition and episodic memory functioning. This study provides the first empirical support for a link between an objective neuromarker of mind-wandering and AD pathophysiology. Given the observed association between mind-wandering and cognitive functioning in older adults, interventions targeted at reducing mind-wandering, particularly before the onset of AD pathogenesis, may make a significant contribution to the prevention of AD-related cognitive decline.

Response time variability is considered an objective, albeit indirect, marker of mind-wandering. In this study, we applied a previously-derived connectome-based model of response time variability to resting-state data obtained from 289 older adults in the Alzheimer's Disease NeuroImaging Initiative. The network strength of the high response time variability model was correlated with a cerebrospinal fluid (CSF)-based ratiometric measure of amyloid and tau pathology. Additionally, our results demonstrated that the network strength in the high response time variability model was also linked with global cognition and episodic memory. This study provides the first empirical support for the association between a neuromarker of response time variability­an indirect marker of mind-wandering­and AD pathophysiology.

TRACking health behavior in people with multiple sclerosis: Effects of a randomized trial on physical activity and working memory.

OBJECTIVE: Multiple sclerosis is associated with impairments in working memory functioning. Lifestyle physical activity interventions show promise in improving cognitive functioning; however, the evidence is limited. We examined the efficacy of a lifestyle physical activity intervention, involving step tracking and psychoeducational materials, on improving step counts, working memory functioning, and network strength in a whole-brain network of working memory. METHOD: Participants (n = 75) were randomly assigned to a group tracking steps with a pedometer (step-track), or a group tracking water intake with a smart water bottle (water-track), for 6 months. At baseline, mid, and postintervention, we assessed weekly physical activity (GT3X+ accelerometer), weekly water intake (H20 Pal Smart Bottle), and working memory functioning. Additionally, the combined network strength of a validated working memory connectome was calculated. RESULTS: We ran random intercept linear mixed models to examine differences between the groups, over time. A significant Group × Time interaction effect with steps and water intake indicated that the step-track group increased their steps, and the water-track group increased their water intake, in comparison to each other, from baseline to postintervention (p < .05). Both groups improved in behavioral working memory over time (p < .05). No significant differences were found on the network strength. CONCLUSION: Our 6-month randomized controlled trial involving physical activity tracking showed increased step count in the intervention group. Behavioral working memory improved in both groups, potentially due to practice effects. Future studies should include both active and passive control groups to discern practice effects from intervention impact. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Edge-Community Entropy Is a Novel Neural Correlate of Aging and Moderator of Fluid Cognition.

Decreased neuronal specificity of the brain in response to cognitive demands (i.e., neural dedifferentiation) has been implicated in age-related cognitive decline. Investigations into functional connectivity analogs of these processes have focused primarily on measuring segregation of nonoverlapping networks at rest. Here, we used an edge-centric network approach to derive entropy, a measure of specialization, from spatially overlapping communities during cognitive task fMRI. Using Human Connectome Project Lifespan data (713 participants, 36-100 years old, 55.7% female), we characterized a pattern of nodal despecialization differentially affecting the medial temporal lobe and limbic, visual, and subcortical systems. At the whole-brain level, global entropy moderated declines in fluid cognition across the lifespan and uniquely covaried with age when controlling for the network segregation metric modularity. Importantly, relationships between both metrics (entropy and modularity) and fluid cognition were age dependent, although entropy's relationship with cognition was specific to older adults. These results suggest entropy is a potentially important metric for examining how neurological processes in aging affect functional specialization at the nodal, network, and whole-brain level.

Age differences in emotion regulation strategy use and flexibility in daily life.

OBJECTIVES: Age-related shifts in emotion regulation patterns are important for explaining preserved emotional well-being in late adulthood amidst declines in physical and cognitive health. Although several studies have examined age-related shifts in emotion regulation strategy use, age differences in how specific strategies are flexibly adapted to shifting contexts in daily life and the adaptiveness of such shifts remains poorly understood. METHODS: 130 younger adults (ages 22-35) and 130 older adults (ages 65-85) completed a modified Day Reconstruction Method Assessment and self-report questionnaires to examine age differences in emotion regulation strategy use and one aspect of emotion regulation flexibility (responsiveness) in daily life, and the adaptive implications of these differences. RESULTS: Older adults exhibited more frequent acceptance use, less frequent distraction use, and less flexibility in the responsiveness of strategies with varying negative affect. Across age groups, the use of expressive suppression and distraction was associated with less adaptive outcomes, whereas higher acceptance responsiveness, positive reappraisal responsiveness, and situation selection responsiveness were associated with more adaptive outcomes. Age-group moderated the associations between adaptiveness metrics with the use and flexibility of several emotion regulation strategies. CONCLUSION: The current findings provide early evidence of age-related decreases in emotion regulation flexibility as well as age-related shifts in the adaptiveness of emotion regulation patterns.

Understanding the health effects of caregiving stress: New directions in molecular aging.

Dementia caregiving has been linked to multiple health risks, including infectious illness, depression, anxiety, immune dysregulation, weakened vaccine responses, slow wound healing, hypertension, cardiovascular disease, metabolic syndrome, diabetes, frailty, cognitive decline, and reduced structural and functional integrity of the brain. The sustained overproduction of proinflammatory cytokines is a key pathway behind many of these risks. However, contrasting findings suggest that some forms of caregiving may have beneficial effects, such as maintaining caregivers' health and providing a sense of meaning and purpose which, in turn, may contribute to lower rates of functional decline and mortality. The current review synthesizes these disparate literatures, identifies methodological sources of discrepancy, and integrates caregiver research with work on aging biomarkers to propose a research agenda that traces the mechanistic pathways of caregivers' health trajectories with a focus on the unique stressors facing spousal caregivers as compared to other informal caregivers. Combined with a focus on psychosocial moderators and mechanisms, studies using state-of-the-art molecular aging biomarkers such as telomere length, p16INK4a, and epigenetic age could help to reconcile mixed literature on caregiving's sequelae by determining whether and under what conditions caregiving-related experiences contribute to faster aging, in part through inflammatory biology. The biomarkers predict morbidity and mortality, and each contributes non-redundant information about age-related molecular changes -together painting a more complete picture of biological aging. Indeed, assessing changes in these biopsychosocial mechanisms over time would help to clarify the dynamic relationships between caregiving experiences, psychological states, immune function, and aging.

Accelerometry measures of physical activity and sedentary behavior: Associations with cognitive functioning in MS.

BACKGROUND: Cognitive dysfunction is a pervasive symptom of multiple sclerosis (MS). Correlational evidence on the relationships between physical activity, sedentary behavior, and cognition has been mixed and limited to a few activity measures. The collinearity of accelerometry-based metrics has precluded an assessment of the full activity spectrum. Here, we aimed to examine the rich set of activity measures using analytic approaches suitable for collinear metrics. We investigated the combination of physical activity, sedentary, and clinicodemographic measures that explain the most variance in composite scores of working memory/processing speed, visual memory, and verbal memory. METHODS: We analyzed baseline accelerometry and neuropsychological data (n = 80) from a randomized controlled trial of pedometer tracking. Using partial least squares regression (PLSR), we built three models to predict latent scores on the three domains of cognition using 12 activity metrics, sex, education, and Expanded Disability Status Scale (EDSS) scores. Significance was assessed using linear regression models with model component scores as predictors and cognitive composites as outcomes. RESULTS: The latent component was significant for working memory/processing speed but was not significant for visual memory and verbal memory after Bonferroni correction. Working memory/processing speed was positively associated with average kilocalories, moderate-to-vigorous physical activity (MVPA), steps, and sex (i.e., higher scores in males) and negatively related to duration of long sedentary bouts and EDSS. CONCLUSIONS: These findings suggest that increasing overall energy expenditure through walking and MVPA, while decreasing prolonged sedentary time may positively benefit working memory/processing speed in people with MS. TRIAL REGISTRATION: This RCT #NCT03244696 was registered on Clinicaltrials.gov (https://www. CLINICALTRIALS: gov/ct2/show/NCT03244696).

Using connectome-based models of working memory to predict emotion regulation in older adults.

Older adulthood is characterized by enhanced emotional well-being potentially resulting from greater reliance on adaptive emotion regulation strategies. However, not all older adults demonstrate an increase in emotional well-being and instead rely on maladaptive emotion regulation strategies. An important moderator of age-related shifts in strategy preferences is working memory (WM) and its underlying neural circuitry. As such, individual differences in the neural integrity underlying WM may predict older adults' emotion regulation strategy preferences. Our study used whole-brain WM networks-derived from young adults using connectome-based predictive modeling-to predict WM performance and acceptance strategy use in healthy older adults. Older adults (N = 110) completed baseline assessments as part of a randomized controlled trial examining the impact of mind-body interventions on healthy aging. Our results revealed that the WM networks predicted WM accuracy but not acceptance use or difficulties in emotion regulation in older adults. Individual differences in WM performance, but not WM networks, moderated relationships between image intensity and acceptance use. These findings highlight that robust neural markers of WM generalize to an independent sample of healthy older adults but may not generalize beyond cognitive domains to predict emotion-based behaviors.

Functional connectivity patterns are altered by low back pain and cause different responses to sham and real dry needling therapies: a systematic review of fMRI studies.

BACKGROUND: There is a relationship between low back pain (LBP) and central nervous system dysfunction. Needling therapies (e.g. acupuncture, dry needling) are proposed to impact the nervous system, however their specific influence is unclear. PURPOSE: Determine how needling therapies alter functional connectivity and LBP as measured by functional magnetic resonance imaging (fMRI). METHODS: Databases were searched following PRISMA guidelines. Studies using fMRI on individuals with LBP receiving dry needling or acupuncture compared to control or sham treatments were included. RESULTS: Eight studies were included, all of which used acupuncture. The quality of studies ranged from good (n = 6) to excellent (n = 2). After acupuncture, individuals with LBP demonstrated significant functional connectivity changes across several networks, notably the salience, somatomotor, default mode network (DMN) and limbic networks. A meta-analysis demonstrated evidence of no effect to potential small effect of acupuncture in reducing LBP (SMD -0.28; 95% CI: -0.70, 0.13). CONCLUSION: Needling therapies, like acupuncture, may have a central effect on patients beyond the local tissue effects, reducing patients' pain and disability due to alterations in neural processing, including the DMN, and potentially other central nervous system effects. The meta-analysis should be interpreted with caution due to the narrow focus and confined sample used.

TRACking health behaviors in people with Multiple Sclerosis (TRAC-MS): Study protocol and description of the study sample.

Introduction: People with multiple sclerosis (PwMS) experience a range of physical, cognitive, and affective symptoms. Behavioral interventions targeting increased physical activity show promising support as low-cost methods to improve working memory, episodic memory, and processing speed in PwMS. In this randomized controlled trial, we will examine the efficacy of a pedometer-tracking intervention, designed to increase low-to-moderate levels of physical activity, for improving working memory in PwMS. Methods and Analysis: Eighty-seven PwMS, between the ages of 30-59, have been recruited for the study. Seventy-five of the eligible and interested individuals were randomized to six-month health behavior monitoring groups: a Step-track group or a Water-track group (serving as the active control). Neuropsychological measures, assessing the primary outcome of the study, were administered at pre, midpoint, and post-intervention. Exploratory factor analysis of neuropsychological measures resulted in three factors: a working memory/processing speed factor, a visual episodic memory factor, and a verbal episodic memory factor. Changes in this latent measure of working memory/processing speed is the primary outcome of the current study. Functional MRI data will be analyzed to examine changes in the functional connectivity of the neural network supporting working memory. Ethics and dissemination: The institutional review board granted approval for the study and all participants provided written informed consent. The results of this study will provide support showing that step-tracking increases overall levels of physical activity, improves working memory and processing speed, and strengthens the neural circuitry that supports better cognition. Evidence from this study will thus offer promising support for the routine use of step-tracking devices to improve cognitive functioning in PwMS. Study results will be disseminated through peer-reviewed publications and presentations at scientific conferences.

Protocol for a randomized controlled trial of mindfulness-based stress reduction to improve attentional control in older adults (HealthyAgers trial).

BACKGROUND: Mindfulness meditation is a form of mind-body intervention that has increasing scientific support for its ability to reduce age-related declines in cognitive functioning, improve affective health, and strengthen the neural circuitry supporting improved cognitive and affective health. However, the majority of existent studies have been pilot investigations with small sample sizes, limited follow-up data, and a lack of attention to expectancy effects. Here, we present the study design of a Phase I/II, efficacy trial-HealthyAgers trial-that examines the benefits of a manualized mindfulness-based stress reduction program in improving attentional control and reducing mind-wandering in older adults. METHODS: One hundred fifty older adults (ages 65-85 years) will be randomized into one of two groups: an eight-week mindfulness program or an eight-week, placebo-controlled, lifestyle education program. Behavioral and neuroimaging assessments are conducted before and after the training. Participants are then invited to booster sessions once every three months for a period of 12 months with post-intervention follow-up assessments conducted at 6-months and 12-months. The primary outcomes for the study are behavioral measures of attentional control and mind-wandering. Additional, secondary outcomes include network strength in an a priori defined neuromarker of attentional control, fluid and everyday cognition, emotion regulation strategy use, and markers of inflammation. DISCUSSION: This study will establish the efficacy of a group-based, low-cost mind-body intervention for the inter-related facets of attentional control and mind-wandering in older adults. Strengths of this study include a well-designed, placebo-controlled comparison group, use of web/mobile application to track study adherence, and longitudinal follow-up. TRIAL REGISTRATION: Clinicaltrials.gov (# NCT03626532 ). Registered August 4, 2018.

Impact of mindfulness training on emotion regulation in multiple sclerosis: Secondary analysis of a pilot randomized controlled trial.

Purpose/Objective Research: This secondary analysis of a pilot randomized controlled trial in people with multiple sclerosis (PwMS) aimed to compare mindfulness-based training (MBT), adaptive cognitive training (aCT), and a waitlist control (WL) on the use of emotion regulation strategies during daily worries and ruminations. Further, we examined cognitive functioning as a moderator of training effects. RESEARCH METHOD/DESIGN: Sixty-one PwMS were randomized into an MBT, aCT, or a WL control group for four weeks. Participants completed daily diaries assessing their use of emotion regulation strategies and measures of cognitive functioning at pre- and posttraining. The frequency of acceptance use, maladaptive strategies, and cognitive reappraisal, as well as the success of acceptance use, were the primary outcomes of interest. We also examined whether a cognitive composite score moderated treatment gains. RESULTS: Relative to pretraining, at posttraining, participants in the MBT group used acceptance more frequently, and this change was significantly greater compared to the change in aCT and WL groups. Training did not have differential effects on the frequency of maladaptive strategy and cognitive reappraisal use or on the success of acceptance use. Cognitive functioning did not moderate observed treatment gains. CONCLUSION/IMPLICATIONS: Our findings, based on this pilot study, suggest that after brief training in mindfulness meditation, PwMS used more acceptance strategies to regulate their emotions. Future studies with larger sample sizes, longer duration of treatment, and longitudinal follow-up are needed to better understand the efficacy of mindfulness mediation for promoting affective and cognitive health in PwMS. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

A promising cognitive screener in multiple sclerosis: The NIH toolbox cognition battery concords with gold standard neuropsychological measures.

BACKGROUND: Routine cognitive screening is a priority in MS clinical care. The National Institutes of Health Toolbox (NIHTB) Cognition Battery is a 30-min instrument validated in neurological populations excluding MS. OBJECTIVES: To assess construct validity of NIHTB tests and compare classification of cognitive impairment with gold-standard tests. To evaluate relationships between fluid cognition and clinical measures. METHODS: Eighty-seven individuals, aged 30-59 years, completed the NIHTB, Minimal Assessment of Cognitive Function in MS (MACFIMS), Wechsler Adult Intelligence Scale-IV subtests, and measures of disease severity, depression, and fatigue. RESULTS: The NIHTB showed adequate convergent validity for processing speed, working memory, and episodic memory. Although fluid cognition scores from the NIHTB and MACFIMS classified a similar proportion of participants as cognitively impaired, the two batteries differed in which individuals were classified as impaired versus preserved. NIHTB fluid cognition was inversely correlated with disease severity but not related to depression or fatigue. CONCLUSIONS: The NIHTB concords with gold-standard measures, and classifies cognitive impairment at similar rates to the MACFIMS. Adjusted NIHTB fluid cognition was negatively associated with disease severity suggesting clinical utility. Psychometric validation of the NIHTB in clinical practice will elucidate its promise as a cognitive screener in MS.

Brain Structure and Function Predict Adherence to an Exercise Intervention in Older Adults.

INTRODUCTION: Individual differences in brain structure and function in older adults are potential proxies of brain reserve or maintenance and may provide mechanistic predictions of adherence to exercise. We hypothesized that multimodal neuroimaging features would predict adherence to a 6-month randomized controlled trial of exercise in 131 older adults (age, 65.79 ± 4.65 yr, 63% female), alone and in combination with psychosocial, cognitive, and health measures. METHODS: Regularized elastic net regression within a nested cross-validation framework was applied to predict adherence to the intervention in three separate models (brain structure and function only; psychosocial, health, and demographic data only; and a multimodal model). RESULTS: Higher cortical thickness in somatosensory and inferior frontal regions and less surface area in primary visual and inferior frontal regions predicted adherence. Higher nodal functional connectivity (degree count) in default, frontoparietal, and attentional networks and less nodal strength in primary visual and temporoparietal networks predicted exercise adherence ( r = 0.24, P = 0.004). Survey and clinical measures of gait and walking self-efficacy, biological sex, and perceived stress also predicted adherence ( r = 0.17, P = 0.056); however, this prediction was not significant when tested against a null test statistic. A combined multimodal model achieved the highest predictive strength ( r = 0.28, P = 0.001). CONCLUSIONS: Our results suggest that there is a substantial utility of using brain-based measures in future research into precision and individualized exercise interventions older adults.

Trait mindfulness, emotion dysregulation, and depression in individuals with multiple sclerosis.

OBJECTIVES: Emotion dysregulation plays a role in the development and maintenance of psychopathology. Given the higher rates of mood disturbances in people with multiple sclerosis (PwMS), there is a need to explore the relationships between metrics of emotion dysregulation and potential protective traits. Mindfulness, a multi-faceted trait characteristic reflecting present moment awareness, is one such trait showing promise for positive associations with affective health. The current project assessed the relationship between trait mindfulness, the use of emotion regulation strategies during an emotionally evocative task, and depression in PwMS. METHODS: Sixty-one PwMS completed a worry/rumination induction task that examined emotion regulation strategy use in response to emotionally evocative stimuli. RESULTS: Higher trait mindfulness was associated with both lower symptoms of depression and greater employment of acceptance-based strategies following worry and rumination inductions. Acceptance use mediated the relationship between trait mindfulness and symptoms of depression. CONCLUSIONS: Our results suggest that the association between trait mindfulness and emotion dysregulation extends to the use of emotion regulation strategies during an emotionally evocative task. Additionally, emotion regulation strategy use, and acceptance in particular, may play a role in the relationship between trait mindfulness and depression. These findings suggest that increasing levels of mindfulness through clinical interventions may present a path toward improving emotion regulation, and by extension, reducing the symptoms of depression in PwMS.

Predicting response time variability from task and resting-state functional connectivity in the aging brain.

Aging is associated with declines in a host of cognitive functions, including attentional control, inhibitory control, episodic memory, processing speed, and executive functioning. Theoretical models attribute the age-related decline in cognitive functioning to deficits in goal maintenance and attentional inhibition. Despite these well-documented declines in executive control resources, older adults endorse fewer episodes of mind-wandering when assessed using task-embedded thought probes. Furthermore, previous work on the neural basis of mind-wandering has mostly focused on young adults with studies predominantly focusing on the activity and connectivity of a select few canonical networks. However, whole-brain functional networks associated with mind-wandering in aging have not yet been characterized. In this study, using response time variability-the trial-to-trial fluctuations in behavioral responses-as an indirect marker of mind-wandering or an "out-of-the-zone" attentional state representing suboptimal behavioral performance, we show that brain-based predictive models of response time variability can be derived from whole-brain task functional connectivity. In contrast, models derived from resting-state functional connectivity alone did not predict individual response time variability. Finally, we show that despite successful within-sample prediction of response time variability, our models did not generalize to predict response time variability in independent cohorts of older adults with resting-state connectivity. Overall, our findings provide evidence for the utility of task-based functional connectivity in predicting individual response time variability in aging. Future research is needed to derive more robust and generalizable models.

Impact of mindfulness training on in-the-moment attentional control and emotion dysregulation in older adults: secondary analysis of a pilot, placebo-controlled randomized controlled trial.

Mindfulness-based interventions show increasing promise for improving attention and emotion regulation- processes that critically support healthy aging. Given their complex, multi-faceted nature, identifying specific aspects of attention and emotion regulation that are modifiable with training in older adults, particularly compared with active control groups, is an ongoing challenge. We performed pre-registered, secondary analyses of a pilot randomized controlled trial comparing the effects of a four-week mindfulness-based attention training (MBAT) group and a lifestyle education (LifeEd) active control group on attention and emotion dysregulation in older adults. Differential training outcomes were assessed for: (a) in-the-moment effects of mind-wandering on sustained attention, measured by performance decrements preceding self-reported mind-wandering, and (b) self-reported emotion dysregulation. Baseline working memory (WM) performance was tested as a moderator of training effects. There were no significant between-group differences for change in in-the-moment effects of mind-wandering on attention or emotion dysregulation. However, baseline WM moderated training effects, such that older adults with higher WM showed greater reductions in emotion dysregulation following mindfulness training. This has potential implications for identifying aging cohorts that may benefit most from this type of training.

Employing Connectome-Based Models to Predict Working Memory in Multiple Sclerosis.

Introduction: Individuals with multiple sclerosis (MS) are vulnerable to deficits in working memory (WM), but the search for neural correlates of WM within circumscribed areas has been inconclusive. Given the widespread neural alterations observed in MS, predictive modeling approaches that capitalize on whole-brain connectivity may better capture individual differences in WM. Materials and Methods: We applied connectome-based predictive modeling to functional magnetic resonance imaging data from WM tasks in two independent samples with relapsing-remitting MS. In the internal sample (ninternal = 36), cross-validation was used to train a model to predict accuracy on the Paced Visual Serial Addition Test from functional connectivity. We hypothesized that this MS-specific model would successfully predict performance on the N-back task in the validation cohort (nvalidation = 36). In addition, we assessed the generalizability of existing WM networks derived in healthy young adults to these samples, and we explored anatomical differences between the healthy and MS networks. Results: We successfully derived an MS-specific predictive model of WM in the internal sample (full: rs = 0.47, permuted p = 0.011), but the predictions were not significant in the validation cohort (rs = -0.047; p = 0.78, mean squared error [MSE] = 0.006, R2 = -2.21%). In contrast, the healthy networks successfully predicted WM in both MS samples (internal: rs = 0.33 p = 0.049, MSE = 0.009, R2 = 13.4%; validation cohort: rs = 0.46, p = 0.005, MSE = 0.005, R2 = 16.9%), demonstrating their translational potential. Discussion: Functional networks identified in a large sample of healthy individuals predicted significant variance in WM in MS. Networks derived in small samples of people with MS may have limited generalizability, potentially due to disease-related heterogeneity. The robustness of models derived in large clinical samples warrants further investigation. ClinicalTrials.gov ID: NCT03244696.

Trait mindfulness and emotion regulation responsiveness to negative affect in daily life.

Objectives: Recent conceptualizations of adaptive emotion regulation is predicated on the ability to flexibly use emotion regulation strategies to meet changing contextual demands. Although trait mindfulness has been linked to enhanced emotional well-being and use of adaptive emotion regulation strategies, there is a dearth of literature examining associations between trait mindfulness and emotion regulation flexibility. Further, despite a rich literature suggesting that emotion regulation processes change with age, no study to date has assessed whether the role of trait mindfulness on emotion regulation responsiveness to negative emotions-a component of emotion regulation flexibility-differs between young and older adults. Methods: The current study recruited 130 young adults and 130 older adults to assess trait mindfulness, emotion regulation strategy use, and emotion regulation responsiveness of six distinct strategies in daily life. Results: Across the full sample, trait mindfulness was related to reduced distraction (ß = -0.11, t(238.09) = -3.02, p = .003) and expressive suppression (ß = -0.15, t(237.70) = -4.62, p < .001) strategy use. Age moderation analyses revealed that trait mindfulness was associated with reduced expressive suppression responsiveness (ß = 0.12, t(247) = 2.31, p = .022) in young adults and increased detached reappraisal responsiveness among older adults (ß = 0.15, t(247) = -2.95, p = .003). Conclusions: The current findings highlight the importance of understanding how trait mindfulness is associated with strategy use and responsiveness to negative affect changes in daily life as well as how these patterns may shift across the lifespan. Manuscript Pre-registration: Open Science Framework, registration number: z5g8v.

Mindfulness Meditation: Impact on Attentional Control and Emotion Dysregulation.

OBJECTIVE: Theoretical models of mindfulness meditation conceptualize the cultivation of focused attention and regulation of emotional states, with the attitudinal foundations that promote nonjudgment and acceptance, to facilitate cognitive and affective processing resulting in improved brain health. Within the scientific study of mindfulness meditation, outcomes assessing behavioral and neural correlates of attentional control and emotion regulation have been examined for their malleability as a function of engagement in mindfulness practices. This review synthesizes the results of our pilot trials examining the preliminary effects of mindfulness meditation on metrics of cognitive, affective, and brain health in older adults and in individuals with multiple sclerosis. CONCLUSIONS: There is promising support for mindfulness meditation to enhance attentional control, reduce mind-wandering, and reduce emotion dysregulation. However, well-powered efficacy trials, with an objective assessment of mindfulness practice data are needed to further provide causal and comprehensive evidence supporting the efficacy of mindfulness meditation for brain health. Inclusion of independently derived and validated brain-based signatures of cognitive and affective functioning can additionally enable a parsimonious understanding of how mindfulness meditation can causally impact metrics of functional and structural integrity of the human brain.

Mindfulness training for emotion dysregulation in multiple sclerosis: A pilot randomized controlled trial.

OBJECTIVE: People with multiple sclerosis (PwMS) report greater emotion dysregulation, which is associated with increased symptoms of depression and anxiety, and reduced quality of life. Given the transdiagnostic significance of emotion dysregulation, the current study was designed to assess the feasibility and treatment effects of mindfulness meditation in reducing emotion dysregulation for PwMS. METHOD: Sixty-one PwMS were randomized to 1 of 3 groups: 4-week mindfulness-based training (MBT), 4-week adaptive cognitive training (aCT), or a waitlist control group. Using self-report and behavioral measures, we examined the effects of MBT on emotion dysregulation, use of emotion regulation strategies, experience of negative and positive affect, and overall quality of life. RESULTS: Mindfulness training was associated with reduced emotion dysregulation compared with the adaptive cognitive training and the waitlist control group (ηp² = .20). Relative to the waitlist group, the MBT group also demonstrated reductions on a composite score of preservative cognition, measuring rumination and worry (ηp² = .15). However, there was no differential use of emotion regulation strategies or between-groups differences in overall quality of life as a function of training. CONCLUSIONS: Our pilot study provides preliminary support for MBT to reduce self-reported emotion dysregulation in PwMS. Given the widespread prevalence of mental health disturbances in this population, MBT can serve as a promising rehabilitation tool for PwMS (clinicaltrials.gov # NCT02717429). (PsycInfo Database Record (c) 2020 APA, all rights reserved).