Does mindfulness change the mind? A novel psychonectome perspective based on Network Analysis

Depressive symptomatology in older adults treated with behavioral activation: A network perspective

BACKGROUND

Late-life depression is a serious mental health problem. Behavioral Activation (BA) is an effective, accessible psychotherapeutic treatment for older adults. However, little is known about which symptoms decrease and how associations between depressive symptoms change during BA treatment.

METHODS

Using data from a cluster-randomized trial for older adults with late-life depression, we estimated a partial correlation network and a relative importance network of depressive symptoms before and after 8 weeks of BA treatment in primary care (n = 96). Networks were examined with measures of network structure, connectivity, centrality as well as stability.

RESULTS

The most central symptoms at baseline and post-treatment were anhedonia, fatigue, and feeling depressed. In contrast, sleeping problems had the lowest centrality. The post-treatment network was significantly more interconnected than at baseline. Moreover, all symptoms were significantly more central at post-treatment.

CONCLUSION

Our findings highlight the utility of the network approach to better understand symptom networks of depressed older adults before and after BA treatment. Results show that network connectivity and centrality of all symptoms increased after treatment. Future studies should investigate longitudinal idiographic networks to explore symptom dynamics within individuals over time.

Mindfulness Between the Sheets: Does a Brief Mindfulness Intervention Improve Community-Dwelling Populations' Sexual Experiences and Motivations, and Are Effects Moderated by Attachment Insecurity?

Research is increasingly linking mindfulness with better relationship outcomes. Less clear is whether these benefits extend to the sexual domain or whether the benefits of mindfulness are moderated by individual characteristics. Accordingly, the current report tested whether a brief online mindfulness intervention improved the cognitive, affective, and behavioral aspects of sexual experiences and whether effects varied by attachment anxiety and avoidance. Participants (N = 90) first completed a measure of attachment before reporting their sexual experiences each day for 7-days. Participants then listened to a mindfulness recording every day for 4 weeks. Finally, sexual experiences were reported on every day for 7 days again. Consistent with previous studies, no benefits of the mindfulness intervention were detected for more avoidant persons. Less consistent with expectation, however, the mindfulness intervention did not improve sexual outcomes in general, nor did it buffer other-focused avoidance-based sexual motivations or bolster sexual communal strength among more anxiously attached persons. However, the intervention did increase reports of positive sexuality among more anxious persons. Results are discussed in terms of the differential utility and limits of short mindfulness interventions looking to enhance sexual functioning in different populations and the potential mechanisms behind the presence and absence of effects.

The network dynamics of self-compassion components and psychological symptoms during an intervention

The change process of psychological interventions is complex and should be understood with a systems perspective. This study sought to examine the network dynamics of self-compassion components and psychological symptoms during an intervention. A total of 139 participants completed daily assessments during a 28-day intervention. Utilizing multilevel vector autoregressive (VAR) model, temporal and contemporaneous networks were generated and group differences in network dynamics were evaluated through descriptive assessment and permutation tests. The intervention group displayed a significant increase in self-compassion and decrease in psychological symptoms, with self-compassion mediating the intervention effects on symptoms. Network analysis revealed some network dynamics that might be relevant to desirable therapeutic changes in the intervention group. The intervention group demonstrated a significantly less connected contemporaneous depression network, indicating a decreased vulnerability to symptom activation. Additionally, the intervention group showed significantly more temporal connections from self-compassion to anxiety, indicating an increased influence of self-compassion on anxiety. These findings suggest that the intervention may have reshaped the interconnection pattern of symptoms and that between self-compassion components and symptoms.

Epigenetic, psychological, and EEG changes after a 1-week retreat based on mindfulness and compassion for stress reduction in healthy adults: Study protocol of a cross-over randomized controlled trial

INTRODUCTION

The main objective of the study will be to evaluate the effects of two widely used standardized mindfulness-based programs [Mindfulness-Based Stress Reduction (MBSR) and Compassion Cultivation Training (CCT)], on epigenetic, neurobiological, psychological, and physiological variables.

METHODS

The programs will be offered in an intensive retreat format in a general population sample of healthy volunteer adults. During a 7-day retreat, participants will receive MBSR and CCT in a crossover design where participants complete both programs in random order. After finishing their first 3-day training with one of the two programs, participants will be assigned to the second 3-day training with the second program. The effects of the MBSR and CCT programs, and their combination, will be measured by epigenetic changes (i.e., DNA methylation biomarkers), neurobiological and psychophysiological measures (i.e., EEG resting state, EKG, respiration patterns, and diurnal cortisol slopes), self-report questionnaires belonging to different psychological domains (i.e., mindfulness, compassion, well-being, distress, and general functioning), and stress tasks (i.e., an Arithmetic Stress Test and the retrieval of negative autobiographical memories). These measures will be collected from both groups on the mornings of day 1 (pre-program), day 4 (after finishing the first program and before beginning the second program), and day 7 (post-second program). We will conduct a 3-month and a 12-month follow-up using only the set of self-report measures.

DISCUSSION

This study aims to shed light on the neurobiological and psychological mechanisms linked to meditation and compassion in the general population. The protocol was registered at clinicaltrials.gov (Identifier: NCT05516355; August 23, 2022).

Differential effects of mindfulness meditation and cognitive training on cool and hot inhibitory control in children and adolescents

Inhibitory control (IC) can occur either in a neutral context (cool) or in social contexts involving emotions (hot). Cool and hot IC have specific developmental trajectories; cool IC develops linearly from childhood to adulthood, whereas hot IC follows a quadratic trajectory. Some activities can improve the IC, such as cognitive training (CT) and mindfulness meditation (MM). The aim of our study was to compare the effects of 5 weeks of computerized MM versus CT on IC performance in 66 children (9-10 years old) and 63 adolescents (16-17 years old) by specifically analyzing cool and hot dimensions in the same participants and from a developmental perspective. We fit a linear mixed-effect model on the Stroop interference score with time (pretest vs. posttest) and type of conflict (cool vs. hot) as within-participant factors and intervention group (CT vs. MM) and age group (child vs. adolescent) as between-participant factors. The findings revealed that children but not adolescents benefitted from interventions. More specifically, CT improved cool IC but not hot IC, whereas MM practice improved hot IC but not cool IC. This study supports the benefits of MM at a young age. Theoretical issues linking MM programs to emotional competence grounded in hot IC skills are considered in academic settings.

A network analysis of executive functions before and after computerized cognitive training in children and adolescents

Executive functions (EFs) play a key role in cognitive and socioemotional development. Factor analyses have revealed an age dependent structure of EFs spanning from a single common factor in early childhood to three factors in adults corresponding to inhibitory control (IC), switching and updating. IC performances change not only with age but also with cognitive training. Surprisingly, few studies have investigated training-related changes in EFs structure. We used the regularized partial correlation network model to analyze EFs structure in 137 typically developing children (9-10 years) and adolescents (15-17 years) before and after computerized cognitive training. Network models (NMs) -a graph theory-based approach allowing us to describe the structure of complex systems- can provide a priori free insight into EFs structures. We tested the hypothesis that training-related changes may mimic developmental-related changes. Quantitative and qualitative changes were detected in the EFs network structure with age and also with cognitive training. Of note, the EFs network structure in children after training was more similar to adolescents' networks than before training. This study provided the first evidence of structural changes in EFs that are age and training-dependent and supports the hypothesis that training could accelerate the development of some structural aspects of EFs. Due to the sample size, these findings should be considered preliminary before replication in independent larger samples.

Network Analysis-Based Disentanglement of the Symptom Heterogeneity in Asian Patients with Schizophrenia: Findings from the Research on Asian Psychotropic Prescription Patterns for Antipsychotics

The symptom heterogeneity of schizophrenia is consistent with Wittgenstein's analogy of a language game. From the perspective of precision medicine, this study aimed to estimate the symptom presentation and identify the psychonectome in Asian patients, using data obtained from the Research on Asian Psychotropic Prescription Patterns for Antipsychotics. We constructed a network structure of the Brief Psychiatric Rating Scale (BPRS) items in 1438 Asian patients with schizophrenia. Furthermore, all the BPRS items were considered to be an ordered categorical variable ranging in value from 1-7. Motor retardation was situated most centrally within the BPRS network structure, followed by depressive mood and unusual thought content. Contrastingly, hallucinatory behavior was situated least centrally within the network structure. Using a community detection algorithm, the BPRS items were organized into positive, negative, and general symptom clusters. Overall, DSM symptoms were not more central than non-DSM symptoms within the symptom network of Asian patients with schizophrenia. Thus, motor retardation, which results from the unmet needs associated with current antipsychotic medications for schizophrenia, may be a tailored treatment target for Asian patients with schizophrenia. Based on these findings, targeting non-dopamine systems (glutamate, γ-aminobutyric acid) may represent an effective strategy with respect to precision medicine for psychosis.

Exploratory and Confirmatory Bayesian Networks Identify the Central Role of Non-judging in Symptoms of Depression

Objectives

Depression is a highly heterogeneous disorder, and meta-analyses of mindfulness-based interventions show moderate efficacy for reducing depressive symptoms. However, the mechanisms governing their efficacy remain unclear, highlighting the need for hypothesis-generating analyses to guide future research.

Methods

We used Bayesian network analysis in three cross-sectional samples (N = 1135) of undergraduates and participants from the community to identify links between individual symptoms of depression and specific facets of mindfulness. In two exploratory studies, we assessed depression using the Patient Health Questionnaire (n = 384) or the Depression Anxiety and Stress Scale (n = 350) and mindfulness using the Five-Facet Mindfulness Scale.

Results

Across these samples and measures, exploratory analyses indicated that non-judging was a central bridge between facets of mindfulness and symptoms of depression. We confirmed this finding in a pre-registered replication (n = 401) using a recently developed confirmatory testing framework for network analysis. Non-judging was consistently a central bridge in the networks and specifically linked to the symptoms of depression related to feelings of failure and worthlessness.

Conclusions

These findings provide strong evidence that non-judging is an essential feature of mindfulness in the context of depression and provides direction for future research testing mindfulness-oriented treatment prescriptions for depression.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12671-021-01726-1.

A network approach to the five-facet model of mindfulness

Despite the large-scale dissemination of mindfulness-based interventions, debates persist about the very nature of mindfulness. To date, one of the dominant views is the five-facet approach, which suggests that mindfulness includes five facets (i.e., Observing, Describing, Nonjudging, Nonreactivity, and Acting with Awareness). However, uncertainty remains regarding the potential interplay between these facets. In this study, we investigated the five-facet model via network analysis in an unselected sample (n = 1704). We used two distinct computational network approaches: a Gaussian graphical model (i.e., undirected) and a directed acyclic graph, with each model determining the relations between the facets and their relative importance in the network. Both computational approaches pointed to the facet denoting Acting with Awareness as playing an especially potent role in the network system. Altogether, our findings offer novel data-driven clues for the field's larger quest to ascertain the very foundations of mindfulness.

The Role of Stressful Life Events among Women Experiencing Homelessness: An Intragroup Analysis

The aim of this study is to examine stressful life events (SLEs) among homeless women and how SLEs were related to patterns and trajectories of homelessness. Specifically, the study aimed to replicate and build upon by Muñoz et al. (2005) by using cluster and discriminant analysis in a sample of 116 homeless women. The sample was classified based on SLEs, and the relationship between the resulting subgroups and sociodemographic characteristics, homeless trajectories, physical and mental health, and social support was examined. The results suggest that the three-cluster solution was theoretically and structurally meaningful: (a) the "Shorter homelessness trajectories and best health and mental health" subgroup was characterized by low levels of SLEs, a shorter homeless trajectory, lower prevalence of physical and mental health problems, and lower rates of alcohol and substances consumption; (b) the "Early onset of homelessness and poorer health and poorer mental health" subgroup was characterized by a higher prevalence of childhood and adolescence SLEs, an early onset of homelessness and greater chronification, mental health problems, and alcohol consumption; and (c) the "Chronic homelessness and poorest health and mental health" subgroup was mainly characterized by a higher prevalence of typically adulthood SLEs, as well as some SLEs that may be unique to women, a greater number of periods of homelessness, physical health problems, disabilities, and substance misuse. Increased knowledge about the different subgroups and trajectories of homeless women, as well as their specific characteristics and needs, will help us design social services and policies sensitive to all these differences.

A Network Perspective on the Relationship Between Moderate to Vigorous Physical Activity and Fundamental Motor Skills in Early Childhood

BACKGROUND

The relationship between moderate to vigorous physical activity (MVPA) and fundamental motor skill (FMS) is inconsistent in early childhood, due to its complex and nonlinear characteristics. This study aimed to analyze the nonlinear relationships between MVPA, FMS, body mass index (BMI), sex, and age in preschoolers.

METHODS

This cross-sectional study with preschoolers (n = 204; 4.0 [0.8] y old; 99 boys), provided objective physical activity data, FMS assessments, and BMI. The associations between MVPA, FMS, BMI, sex, and age were explored using the network analysis (RStudio and qgraph).

RESULTS

Boys were more motor competent than girls in all FMS skills, while girls were more active than boys during the weekend. Older children were less active than their younger peers during these days. MVPA is weak and differently related to each FMS, and the leap skill emerged with the highest betweenness and strength values in the network.

CONCLUSIONS

For the assessed preschoolers, when considering BMI, age, and sex, the relationships between MVPA and FMS are inconsistent, and leap emerged as the main variable. During early childhood, these variables are connected as part of a complex system in which each skill has a dynamic role within the emerging pattern.

Not all types of meditation are the same: Mediators of change in mindfulness and compassion meditation interventions

BACKGROUND

The general aim of the study was to examine the relative effectiveness and mediators of change in standardized mindfulness and compassion interventions.

METHODS

A sample of 431 participants enrolled in a Mindfulness-Based Stress Reduction program (MBSR = 277) and a Compassion Cultivation Training (CCT = 154). The assessment before and after the program included a set of outcomes and mediators measures. A three-step data analysis plan was followed: ANCOVAs, Reliable Change Index, and mediations (simple and multiple).

RESULTS

Both interventions yielded increased mindfulness, decentering, body awareness, and self-compassion. Yet, present-moment awareness improvements (i.e., decentering, and body awareness) were significantly larger in the MBSR than in CCT, whereas socio-emotional changes (i.e., common humanity and empathic concern) were larger in the CCT than in MBSR. The magnitude of effect sizes ranged from medium to large. Furthermore, both mindfulness and compassion interventions yielded similar changes in psychological distress (i.e., stress, anxiety, and depression), maladaptive cognitive processes (i.e., rumination and thought suppression), and well-being. The mediation models showed that although the MBSR program seemingly relies on changes in present-moment awareness mechanisms (i.e., decentering and body awareness) to reduce psychological distress and to improve well-being, the CCT program seemingly achieves the same positive outcomes through changes in socio-emotional mechanisms (i.e., common-humanity and empathy concern).

LIMITATIONS

Due to our naturalistic design in real-world community setting, it was infeasible to randomly assign participants to conditions.

CONCLUSIONS

Our results suggest that mindfulness and compassion programs operate through different pathways to reduce psychological distress and to promote well-being.

Network Analysis of the Symptoms of Depressive Disorders Over the Course of Therapy: Changes in Centrality Measures

OBJECTIVE

Network analysis can be used in terms of a novel psychopathological approach for depressive syndrome. We aimed to estimate the successive network structures of depressive symptoms in patients with depressive disorder using data from the Clinical Research Center for Depression study.

METHODS

We enrolled 1,152 South Korean adult patients with depressive disorders who were beginning treatment for first-onset or recurrent depressive episodes. We examined the network structure of the severities of the items on the Hamilton Depression Rating Scale (HAMD) at baseline and at weeks 2, 12, 25, and 52. The node strength centrality of all the HAMD items at baseline and at week 2, 12, 25, and 52 in terms of network analysis.

RESULTS

In the severity networks, the anxiety (psychic) item was the most centrally situated in the initial period (baseline and week 2), while loss of weight was the most centrally situated item in the later period (weeks 25 and 52). In addition, the number of strong edges (i.e., edges representing strong correlations) increased in the late period compared to the initial period.

CONCLUSION

Our findings support a period-specific and symptom-focused therapeutic approach that can provide complementary information to the unidimensional total HAMD score.