Moderating effects of the valence of social interaction on the dysfunctional consequences of perseverative cognition: an ecological study in major depression and social anxiety disorder

Neurophysiological Markers of Regulation Success in Everyday Life in Depression

BACKGROUND

Self-regulation is often disrupted in depression and is characterized by negative affect and inflexible parasympathetic responses. However, our understanding of brain mechanisms of self-regulatory processes has largely been limited to laboratory contexts. Measuring individual differences in self-regulatory processes in everyday life-and their neural correlates-could inform our understanding of depression phenotypes and reveal novel intervention targets that impact everyday functioning.

METHODS

In individuals with remitted major depressive disorder and healthy comparison participants (N = 74), we measured 2 dimensions of regulation success in everyday life-perceived success with regulating affect and physiological success (parasympathetic augmentation following regulation attempts)-and their neural correlates using a functional magnetic resonance imaging emotion regulation task.

RESULTS

Perceptions of success were weakly associated with physiological success and had partially distinct neural correlates. Perceived success and physiological success in everyday life predicted reduced activity in brain regions involved in emotional salience while reacting to aversive stimuli in the scanner. During reappraisal in the scanner, greater perceived success in everyday life was dimensionally associated with more reappraisal-related activity in regions involved in cognitive control (including the dorsolateral and dorsomedial prefrontal cortices); in contrast, physiological success predicted enhanced downregulation of salience network activity (amygdala, insula).

CONCLUSIONS

Results suggest that linking psychophysiology with behavior in everyday life can provide a window into dissociable dimensions of self-regulatory functioning. Integrating ambulatory and brain-based metrics may elucidate self-regulatory phenotypes with distinct neurophysiological mechanisms and targets for intervention to impact functioning in daily life.

Co-rumination and intrapersonal cognitive processes predict distress: Longitudinal evidence from the COVID-19 pandemic

Perseverative thinking and catastrophizing have well established associations with fear and distress. However, less is known about the impact of interpersonal dynamics, such as co-rumination, on these intrapersonal cognitive processes and subsequent stress. The present study addresses this knowledge gap. A sample of 433 adults from across the United States was recruited online and completed measures of co-rumination, perseverative thinking, catastrophizing, and demographic characteristics early in the COVID-19 pandemic, and the COVID Stress Scales (CSS) at six month follow up. Co-rumination, perseverative thinking, catastrophizing, and CSS scores were correlated in the expected direction. Regression analyses revealed all three independently predicted CSS worry about the dangerousness of COVID-19 subscale. Co-rumination was the strongest predictor of CSS worry about the socioeconomic impact and CSS compulsive checking scales. Perseverative thinking and catastrophizing predicted CSS traumatic stress symptoms subscale. Finally, perseverative thinking was the strongest predictor of CSS xenophobia subscale. Structural equation modelling indicated that co-rumination had a significant indirect effect on CSS scores through perseverative thinking and catastrophizing. Interpersonal dynamics, such as co-rumination, are relevant for understanding stress and are promising targets for intervention research to prevent or attenuate fears and distress, in addition to traditional intrapersonal cognitive processes such as perseverative thinking and catastrophizing.

Daily Social Isolation Maps Onto Distinctive Features of Anhedonic Behavior: A Combined Ecological and Computational Investigation

Background

Loneliness and social isolation have detrimental consequences for mental health and act as vulnerability factors for the development of depressive symptoms, such as anhedonia. The mitigation strategies used to contain COVID-19, such as social distancing and lockdowns, allowed us to investigate putative associations between daily objective and perceived social isolation and anhedonic-like behavior.

Methods

Reward-related functioning was objectively assessed using the Probabilistic Reward Task. A total of 114 unselected healthy individuals (71% female) underwent both a laboratory and an ecological momentary assessment. Computational modeling was applied to performance on the Probabilistic Reward Task to disentangle reward sensitivity and learning rate.

Results

Findings revealed that objective, but not subjective, daily social interactions were associated with motivational behavior. Specifically, higher social isolation (less time spent with others) was associated with higher responsivity to rewarding stimuli and a reduced influence of a given reward on successive behavioral choices.

Conclusions

Overall, the current results broaden our knowledge of the potential pathways that link (COVID-19-related) social isolation to altered motivational functioning.

Studies of Social Anxiety Using Ambulatory Assessment: Systematic Review

BACKGROUND

There has been an increased interest in understanding social anxiety (SA) and SA disorder (SAD) antecedents and consequences as they occur in real time, resulting in a proliferation of studies using ambulatory assessment (AA). Despite the exponential growth of research in this area, these studies have not been synthesized yet.

OBJECTIVE

This review aimed to identify and describe the latest advances in the understanding of SA and SAD through the use of AA.

METHODS

Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a systematic literature search was conducted in Scopus, PubMed, and Web of Science.

RESULTS

A total of 70 articles met the inclusion criteria. The qualitative synthesis of these studies showed that AA permitted the exploration of the emotional, cognitive, and behavioral dynamics associated with the experience of SA and SAD. In line with the available models of SA and SAD, emotion regulation, perseverative cognition, cognitive factors, substance use, and interactional patterns were the principal topics of the included studies. In addition, the incorporation of AA to study psychological interventions, multimodal assessment using sensors and biosensors, and transcultural differences were some of the identified emerging topics.

CONCLUSIONS

AA constitutes a very powerful methodology to grasp SA from a complementary perspective to laboratory experiments and usual self-report measures, shedding light on the cognitive, emotional, and behavioral antecedents and consequences of SA and the development and maintenance of SAD as a mental disorder.

Understanding mechanisms of depression prevention: study protocol of a randomized cross-over trial to investigate mechanisms of mindfulness and positive fantasizing as intervention techniques for reducing perseverative cognition in remitted depressed individuals

BACKGROUND

Major Depressive Disorder (MDD) is one of the most prevalent psychiatric disorders, and involves high relapse rates in which persistent negative thinking and rumination (i.e., perseverative cognition [PC]) play an important role. Positive fantasizing and mindfulness are common evidence-based psychological interventions that have been shown to effectively reduce PC and subsequent depressive relapse. How the interventions cause changes in PC over time, is unknown, but likely differ between the two. Whereas fantasizing may change the valence of thought content, mindfulness may operate through disengaging from automatic thought patterns. Comparing mechanisms of both interventions in a clinical sample and a non-clinical sample can give insight into the effectivity of interventions for different individuals. The current study aims to 1) test whether momentary psychological and psychophysiological indices of PC are differentially affected by positive fantasizing versus mindfulness-based interventions, 2) test whether the mechanisms of change by which fantasizing and mindfulness affect PC differ between remitted MDD versus never-depressed (ND) individuals, and 3) explore potential moderators of the main effects of the two interventions (i.e., what works for whom).

METHODS

In this cross-over trial of fantasizing versus mindfulness interventions, we will include 50 remitted MDD and 50 ND individuals. Before the start of the measurements, participants complete several individual characteristics. Daily-life diary measures of thoughts and feelings (using an experience sampling method), behavioural measures of spontaneous thoughts (using the Sustained Attention to Response Task), actigraphy, physiological measures (impedance cardiography, electrocardiography, and electroencephalogram), and measures of depressive mood (self-report questionnaires) are performed during the week before (pre-) the interventions and the week during (peri-) the interventions. After a wash-out of at least one month, pre- and peri-intervention measures for the second intervention are repeated.

DISCUSSION

This is the first study integrating self-reports, behavioural-, and physiological measures capturing dynamics at multiple time scales to examine the differential mechanisms of change in PC by psychological interventions in individuals remitted from multiple MDD episodes and ND individuals. Unravelling how therapeutic techniques affect PC in remitted individuals might generate insights that allows development of personalised targeted relapse prevention interventions.

TRIAL REGISTRATION

ClinicalTrials.gov: NCT06145984, November 16, 2023.

Social Media Use Early in the Pandemic Predicted Later Social Well-Being and Mental Health in a National Online Sample of Adults in the United States

Social media use increased early in the Covid-19 pandemic, but little information is available about its impact. The present study examined associations of frequency of use of different social media and the motives for use with subsequent social well-being and mental health. Data were gathered on a nationwide sample of 843 Americans during the first wave of lockdowns and infections in mid-April 2020, and again five weeks later. Participants were adults ages 20 to 88 years old (M = 39.3 years old) recruited from Amazon Mechanical Turk (MTurk). Controlling for age and gender, greater frequency of Facebook and video chat app use predicted higher levels social support but also higher levels of cumulative Covid-19-related stress appraisals and posttraumatic stress symptoms. Greater use of video chat apps also predicted less loneliness. Greater use of both Instagram and Snapchat predicted more anxiety and cumulative Covid-19-related stress appraisals. Greater use of Instagram also predicted higher levels of posttraumatic stress symptoms. Motives for use (e.g., connect with others, waste time/avoid responsibility, online video gaming with others) also differentially predicted social well-being and mental health. Results indicate that greater social media use early in the pandemic was often associated with more distress and lower levels of social well-being but, effects varied depending on types, frequency, and motivations for use. Overall, the study revealed that social media use related to social well-being and mental health in complex ways.

Validity of a Revised Obsessive-Compulsive Personality Disorder (OCPD) Trait Profile and Its Relationship with Social Interaction Anxiety and Coping

There is evidence suggesting that the conceptualization and operationalization of Obsessive-Compulsive Personality Disorder (OCPD) is not satisfactory (Watters et al., 2019). In this study, we used an online sample (N = 1008) to investigate the construct validity of the PID-5 OCPD trait measure. Regression analyses supported our hypothesis that rigid perfectionism captured the core phenomenology of OCPD whereas restricted affectivity and intimacy avoidance were not conceptually related to the OCPD construct. Based on the biosocial theory for overcontrol (Lynch, 2018), we introduced anxiousness and workaholism to the PID-5 OCPD trait profile. In establishing the validity of the revised OCPD trait profile, we investigated, for the first time, the role of social interaction anxiety and maladaptive coping in OCPD. Our revised OCPD profile showed good validity and was characterized by marked social interaction anxiety and dysfunctional coping mechanisms. The findings may lead to a new conceptualization of OCPD which prioritizes deficits in social interaction and coping. We identify areas that need to be prioritized in the evaluation of OCPD by mental health professionals and offer avenues for new clinical research in the field.

Capturing the Dynamics of the Social Environment Through Experience Sampling Methods, Passive Sensing, and Egocentric Networks: Scoping Review

BACKGROUND

Social interactions are important for well-being, and therefore, researchers are increasingly attempting to capture people's social environment. Many different disciplines have developed tools to measure the social environment, which can be highly variable over time. The experience sampling method (ESM) is often used in psychology to study the dynamics within a person and the social environment. In addition, passive sensing is often used to capture social behavior via sensors from smartphones or other wearable devices. Furthermore, sociologists use egocentric networks to track how social relationships are changing. Each of these methods is likely to tap into different but important parts of people's social environment. Thus far, the development and implementation of these methods have occurred mostly separately from each other.

OBJECTIVE

Our aim was to synthesize the literature on how these methods are currently used to capture the changing social environment in relation to well-being and assess how to best combine these methods to study well-being.

METHODS

We conducted a scoping review according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.

RESULTS

We included 275 studies. In total, 3 important points follow from our review. First, each method captures a different but important part of the social environment at a different temporal resolution. Second, measures are rarely validated (>70% of ESM studies and 50% of passive sensing studies were not validated), which undermines the robustness of the conclusions drawn. Third, a combination of methods is currently lacking (only 15/275, 5.5% of the studies combined ESM and passive sensing, and no studies combined all 3 methods) but is essential in understanding well-being.

CONCLUSIONS

We highlight that the practice of using poorly validated measures hampers progress in understanding the relationship between the changing social environment and well-being. We conclude that different methods should be combined more often to reduce the participants' burden and form a holistic perspective on the social environment.

Heart rate variability is not suitable as surrogate marker for pain intensity in patients with chronic pain

ABSTRACT

The search towards more objective outcome measurements and consequently surrogate markers for pain started decades ago; however, no generally accepted biomarker for pain has qualified yet. The goal is to explore the value of heart rate variability (HRV) as surrogate marker for pain intensity chronic pain setting. Pain intensity scores and HRV were collected in 366 patients with chronic pain, through a cross-sectional multicenter study. Pain intensity was measured with both the Visual Analogue Scale and Numeric Rating Scale, while 16 statistical HRV parameters were derived. Canonical correlation analysis was performed to evaluate the correlation between the dependent pain variables and the HRV parameters. Surrogacy was determined for each HRV parameter with point estimates between 0 and 1 whereby values close to 1 indicate a strong association between the surrogate and the true endpoint at the patient level. Weak correlations were revealed between HRV parameters and pain intensity scores. The highest surrogacy point estimate was found for mean heart rate as marker for average pain intensity on the Numeric Rating Scale with point estimates of 0.0961 (95% CI from 0.0384 to 0.1537) and 0.0209 (95% CI from 0 to 0.05) for patients without medication use, and medication use respectively. This study indicated that HRV parameters as separate entities are no suitable surrogacy candidates for pain intensity, in a population of chronic pain patients. Further potential surrogate candidates and clinical robust true endpoints should be explored, in order to find a surrogate measure for the highly individual pain experience.

Infraslow closed-loop brain training for anxiety and depression (ISAD): a protocol for a randomized, double-blind, sham-controlled pilot trial in adult females with internalizing disorders

BACKGROUND

The core intrinsic connectivity networks (core-ICNs), encompassing the default-mode network (DMN), salience network (SN) and central executive network (CEN), have been shown to be dysfunctional in individuals with internalizing disorders (IDs, e.g. major depressive disorder, MDD; generalized anxiety disorder, GAD; social anxiety disorder, SOC). As such, source-localized, closed-loop brain training of electrophysiological signals, also known as standardized low-resolution electromagnetic tomography (sLORETA) neurofeedback (NFB), targeting key cortical nodes within these networks has the potential to reduce symptoms associated with IDs and restore normal core ICN function. We intend to conduct a randomized, double-blind (participant and assessor), sham-controlled, parallel-group (3-arm) trial of sLORETA infraslow (<0.1 Hz) fluctuation neurofeedback (sLORETA ISF-NFB) 3 times per week over 4 weeks in participants (n=60) with IDs. Our primary objectives will be to examine patient-reported outcomes (PROs) and neurophysiological measures to (1) compare the potential effects of sham ISF-NFB to either genuine 1-region ISF-NFB or genuine 2-region ISF-NFB, and (2) assess for potential associations between changes in PRO scores and modifications of electroencephalographic (EEG) activity/connectivity within/between the trained regions of interest (ROIs). As part of an exploratory analysis, we will investigate the effects of additional training sessions and the potential for the potentiation of the effects over time.

METHODS

We will randomly assign participants who meet the criteria for MDD, GAD, and/or SOC per the MINI (Mini International Neuropsychiatric Interview for DSM-5) to one of three groups: (1) 12 sessions of posterior cingulate cortex (PCC) ISF-NFB up-training (n=15), (2) 12 sessions of concurrent PCC ISF up-training and dorsal anterior cingulate cortex (dACC) ISF-NFB down-training (n=15), or (3) 6 sessions of yoked-sham training followed by 6 sessions genuine ISF-NFB (n=30). Transdiagnostic PROs (Hospital Anxiety and Depression Scale, HADS; Inventory of Depression and Anxiety Symptoms - Second Version, IDAS-II; Multidimensional Emotional Disorder Inventory, MEDI; Intolerance of Uncertainty Scale - Short Form, IUS-12; Repetitive Thinking Questionnaire, RTQ-10) as well as resting-state neurophysiological measures (full-band EEG and ECG) will be collected from all subjects during two baseline sessions (approximately 1 week apart) then at post 6 sessions, post 12 sessions, and follow-up (1 month later). We will employ Bayesian methods in R and advanced source-localisation software (i.e. exact low-resolution brain electromagnetic tomography; eLORETA) in our analysis.

DISCUSSION

This protocol will outline the rationale and research methodology for a clinical pilot trial of sLORETA ISF-NFB targeting key nodes within the core-ICNs in a female ID population with the primary aims being to assess its potential efficacy via transdiagnostic PROs and relevant neurophysiological measures.

TRIAL REGISTRATION

Our study was prospectively registered with the Australia New Zealand Clinical Trials Registry (ANZCTR; Trial ID: ACTRN12619001428156). Registered on October 15, 2019.

Social affiliation moderates the link between depressive symptoms and heart rate variability in healthy middle-aged and older individuals: An intensive ecologic momentary assessment study

Depressive symptoms have been associated with lower cardiac autonomic control, thus contributing to cardiovascular diseases, especially among older adults. Interpersonal factors have been found to attenuate physiologic stress responses, but little is known about whether these factors (e.g., perceived affiliation) would moderate the relation of depressive symptoms and cardiovascular activation. The present research aimed to investigate the interplay of depressive symptoms and momentary-assessed interpersonal perceptions on cardiac vagal tone as indexed by heart rate variability (HRV). The sample consisted of 78 late middle-aged and older community-dwelling participants (48.7% male, mean age = 59.15 years). Participants reported on depressive symptoms and other personal characteristics by questionnaire. Perceptions of interpersonal affiliation, ambulatory HRV, and contextual variables were recorded using ecologic momentary assessment and portable electrocardiogram (ECG) monitoring device throughout 1 week (with a maximum of seven times daily). Multilevel analyses found that depressive symptoms were correlated with lower HRV, whereas momentary interpersonal perceptions of higher affiliation were associated with elevated HRV. A significant association was revealed between depressive symptoms and momentary affiliation perceptions on HRV. When individuals were involved in social interactions with higher affiliation, the effect of depressive symptoms on reducing HRV was attenuated. These findings suggested that the effects of subthreshold depressive symptoms on vagal control of the heart could be altered by the quality of interpersonal experiences.

Cognitive benefits of exercise interventions: an fMRI activation likelihood estimation meta-analysis

Despite a growing number of functional MRI studies reporting exercise-induced changes during cognitive processing, a systematic determination of the underlying neurobiological pathways is currently lacking. To this end, our neuroimaging meta-analysis included 20 studies and investigated the influence of physical exercise on cognition-related functional brain activation. The overall meta-analysis encompassing all experiments revealed physical exercise-induced changes in the left parietal lobe during cognitive processing. Subgroup analysis further revealed that in the younger-age group (< 35 years old) physical exercise induced more widespread changes in the right hemisphere, whereas in the older-age group (≥ 35 years old) exercise-induced changes were restricted to the left parietal lobe. Subgroup analysis for intervention duration showed that shorter exercise interventions induced changes in regions connected with frontoparietal and default mode networks, whereas regions exhibiting effects of longer interventions connected with frontoparietal and dorsal attention networks. Our findings suggest that physical exercise interventions lead to changes in functional activation patterns primarily located in precuneus and associated with frontoparietal, dorsal attention and default mode networks.

Locomotion in virtual environments predicts cardiovascular responsiveness to subsequent stressful challenges

Individuals differ in their physiological responsiveness to stressful challenges, and stress potentiates the development of many diseases. Heart rate variability (HRV), a measure of cardiac vagal break, is emerging as a strong index of physiological stress vulnerability. Thus, it is important to develop tools that identify predictive markers of individual differences in HRV responsiveness without exposing subjects to high stress. Here, using machine learning approaches, we show the strong predictive power of high-dimensional locomotor responses during novelty exploration to predict HRV responsiveness during stress exposure. Locomotor responses are collected in two ecologically valid virtual reality scenarios inspired by the animal literature and stress is elicited and measured in a third threatening virtual scenario. Our model's predictions generalize to other stressful challenges and outperforms other stress prediction instruments, such as anxiety questionnaires. Our study paves the way for the development of behavioral digital phenotyping tools for early detection of stress-vulnerable individuals.