Insights from a laboratory and naturalistic investigation on stress, rumination and frontal brain functioning in MDD: An fNIRS study

Contrasting Individual-Specific Resilience and Compensation Personalization Frameworks: The Case of Rumination

Background

Rumination has been identified as a potential mechanism of therapeutic change, particularly in directive and focused psychotherapies for depression. Previous research has predominantly focused on either trait-like individual differences or state-like changes in rumination without integrating these aspects. In the current study, we propose a computational approach to investigating whether rumination serves as a compensatory or a resilience mechanism by integrating trait-like and state-like effects.

Methods

Rumination and depressive symptoms were assessed (in N = 100) pretreatment and repeatedly throughout treatment. Mixed-level models were used to examine whether pretreatment trait-like rumination interacted with a time-variant variable of in-treatment state-like changes in rumination to predict subsequent changes in treatment outcomes. These models were used to determine whether individuals with higher or lower pretreatment trait-like levels of rumination benefited more from state-like reductions in rumination, thus contrasting the compensatory and resilience theoretical frameworks.

Results

As hypothesized, the findings supported the compensatory framework; individuals with higher pretreatment trait-like levels of rumination benefited most from greater state-like reductions in rumination during treatment, as evidenced by greater subsequent symptom reduction (p = .04).

Conclusions

The findings refine our understanding of rumination as an individual-specific mechanism of therapeutic change, dependent on an individual's trait-like levels of rumination. The proposed computational approach enabled an empirical comparison of the 2 main theoretical frameworks of treatment personalization, compensatory and resilience, offering new insights into mechanisms that drive therapeutic change. Future studies could leverage the paradigm proposed here to examine for which patients and in what contexts mechanisms of change function as compensatory versus resilience mechanisms.

Emotion regulation use in daily-life and its association with success of emotion-regulation, self-efficacy, stress, and state rumination

Introduction

Investigations on emotion regulation strategies (ERS) primarily focus on the influence of instructed emotion regulation (ER) on outcomes. However, recent work has shown that selection of ERS is dependent on, e.g., situational demands and personal resources.

Methods

In this current investigation, we used an online diary to investigate ERS used by free choice and their association with ER-success, stress and rumination. We identified four factors of ERS: cognitive perspective change, cognitive-behavioral problem-solving, suppression-distraction and body-social ERS. Associations of ERS with stress, state-rumination and ER-success were investigated using multilevel-mixed-models, allowing to separate within- and between-subject effects.

Results

Our results show that, on a within-subject level, all adaptive ERS were positively associated with ER-success, while maladaptive ERS as well as higher stress and state rumination were negatively associated with ER-success. On the other hand, only within-subject cognitive ERS were associated with higher self-efficacy. Maladaptive ERS-use was consequently positively associated with stress and state rumination. Surprisingly, only cognitive perspective change ERS were negatively associated with state rumination. Cognitive-behavioral problem-solving was positively associated with stress and success of emotion regulation.

Discussion

We interpret these results in the light of situational constraints of ERS-use and the importance of the assessment of these in future studies.

The temporal dynamics of perceived stress and depression in college students: An ecological momentary assessment

Previous studies have implied that stress is a risk factor for depression, but relatively little is known about how healthy individuals' stress dynamically affects depression as a mood in daily life. Therefore, an ecological momentary assessment study was conducted among 141 college students to test the temporal dynamic effect of daily perceived stress on depression and the underlying mediating and moderating role of rumination. Perceived stress, state rumination, and depression were measured using self-compiled questionnaire three times a day over 12 days. Trait rumination was measured with the Nolen-Hoeksema Ruminative Response Scale. Hierarchical linear models with HLM 7.0 were adopted to examine the mediation and moderation effects. In the mediation model, the greater the daily perceived stress at time t, the higher the state rumination at time t + 1, and state rumination at t + 1 positively predicted college students' depression at t + 2. In the moderation model, trait rumination significantly facilitated perceived stress-induced depression. These results verified that daily perceived stress could affect college students' depression directly or indirectly through the critical mediating mechanism of state rumination, and this effect would be exacerbated with a higher level of trait rumination.

Timing and cortical region matter: theta power differences between teenagers affected by Major Depression and healthy controls

In adults affected by Major Depressive Disorder (MDD), most findings point to higher electroencephalographic (EEG) theta power during wake compared to healthy controls (HC) as a potential biomarker aiding the diagnostic process or subgrouping for stratified treatment. Besides these group differences, theta power is modulated by time of day, sleep/wake history, and age. Thus, we aimed at assessing if the time of recording alters theta power in teenagers affected by MDD or HC. Standardized wake EEG power was assessed with high-density EEG in 15 children and adolescents with MDD and in 15 age- and sex-matched HC in the evening and morning. Using a two-way ANOVA, group, time, and their interaction were tested. In patients, the current severity of depression was rated using the Children's Depression Rating Scale. Broadband EEG power was lower in the morning after sleep, with a significant interaction (group x time) in central regions in the 4-6 Hz range. In MDD relative to HC, theta power was decreased over occipital areas in the evening and increased over frontal areas in the morning. A higher frontal theta power was correlated with more severe depressive mood in the morning but not in the evening. This was a cross-sectional study design, including patients on antidepressant medication. In conclusion, depending on time of recording, region-specific opposite differences of theta power were found between teenagers with MDD and HC. These findings stress the importance of the time of the recording when investigating theta power's relationship to psychopathology.

Neural correlates of stress-reactive rumination in depression - The role of childhood trauma and social anxiety

Recent work showed an association of prefrontal dysfunctions in patients with Major Depressive Disorder (MDD) and social stress induced rumination. However, up to date it is unclear which etiological features of MDD might cause prefrontal dysfunctions. In the study at hand, we aimed to replicate recent findings, that showed prefrontal activation alterations during the Trier Social Stress Test (TSST) and subsequently increased stress-reactive rumination in MDD compared to healthy controls. Moreover, we aimed to explore the role of adverse childhood experiences and other clinical variables in this relationship. N = 55 patients currently suffering from MDD and n = 42 healthy controls (HC) underwent the TSST, while cortical activity in areas of the Cognitive Control Network (CCN) was measured via functional near-infrared spectroscopy (fNIRS). The TSST successfully induced a stress reaction (physiologically, as well as indicated by subjective stress ratings) and state rumination in all subjects with moderate to large effect sizes. In comparison to HC, MDD patients showed elevated levels of state rumination with large effect sizes, as well as a typical pattern of reduced cortical oxygenation during stress in the CCN with moderate effect sizes. Self-reported emotional abuse and social anxiety were moderately positively associated with increased stress-reactive rumination. Within the MDD sample, emotional abuse was negatively and social anxiety positively associated with cortical oxygenation within the CCN with moderate to large effect sizes. In conclusion, our results replicate previous findings on MDD-associated prefrontal hypoactivity during stress and extends the research toward specific subtypes of depression.

On assessing trait rumination using the Ruminative Response Scale

Introduction

This study explores the stability of scores on psychometrically validated trait questionnaires over time. We illustrate potential pitfalls through a larger study that used the Ruminative Response Scale (RRS) to categorize participants prior to study inclusion into two groups based on their habitual tendency to ruminate. Surprisingly, when we re-administered the RRS at the start of an experimental session, significant score changes occurred, resulting in participants shifting between the two groups.

Methods

To address this, we modified our recruitment process, aiming to reduce careless responses, including an online RRS assessment a week before the lab appointment. We analyzed the different samples prior to and after changing the recruitment procedure, as well as the total sample regarding the psychometric properties of the RRS. We also explored various indices to identify and predict score changes due to careless responding; however, only a subgroup of participants was successfully identified.

Results

Our findings suggest that Mahalanobis distances are effective for identifying substantial score changes, with baseline state rumination emerging as a marginally significant predictor.

Discussion

We discuss the importance of conducting manipulation checks and offer practical implications for research involving psychometrically validated trait questionnaires.

Trait-dependent effects of theta burst stimulation after psychosocial stress: a sham-controlled study in healthy individuals

OBJECTIVE

Previous studies suggest that theta burst stimulation (TBS), a form of repetitive transcranial magnetic stimulation (rTMS), applied to the left dorsolateral prefrontal cortex (DLPFC) might be a promising approach to modulate stress-reactive rumination and the associated psychophysiological stress response. Crucially, individuals showing higher levels of trait rumination might benefit more from prefrontal stimulation.

METHODS

In this sham-controlled study, 127 healthy individuals, with varying ruminative tendencies, received a single-session of intermittent TBS (iTBS), continuous TBS (cTBS) or sham TBS (sTBS) over the left DLPFC before being confronted with a Trier Social Stress Test.

RESULTS

Results showed significant TBS effects on salivary cortisol as a function of trait rumination. cTBS, as compared to sTBS and iTBS, resulted in an attenuated stress-induced cortisol response in high compared to low trait ruminators. Although independent of trait rumination levels, cTBS showed positive effects on stress-related changes in mood and, both cTBS and iTBS (versus sham) presented an enhanced heart rate recovery following the stressor. We found no evidence for (trait rumination-dependent) TBS effects on stress-reactive rumination, negative affect, subjective stress or heart rate variability.

CONCLUSIONS

cTBS shows beneficial effects on certain measures of stress, especially in high trait ruminators.

SIGNIFICANCE

These findings highlight the importance of accounting for individual differences when examining TBS effects.

In situ fNIRS measurements during cognitive behavioral emotion regulation training in rumination-focused therapy: A randomized-controlled trial

Repetitive negative thinking (RNT), including rumination, plays a key role in various psychopathologies. Although several psychotherapeutic treatments have been developed to reduce RNT, the neural correlates of those specific treatments and of psychotherapy in general are largely unknown. Functional near-infrared spectroscopy (fNIRS) offers the potential to investigate the neural correlates of psychotherapeutic techniques in situ. Therefore, in this study we investigated the efficacy and neural correlates of a fNIRS adapted Mindfulness-based Emotion Regulation Training (MBERT) for the treatment of depressive rumination in 42 subjects with major depressive disorder (MDD) in a cross-over designed randomized controlled trial. Using psychometric measures, subjective ratings and fNIRS, we analyzed in situ changes in depressive symptom severity, ruminative thoughts and cortical activity in the Cognitive Control Network (CCN). Our results show that MBERT is effective in treating depressive symptoms and rumination. On a neural level, we found consistently higher cortical activation during emotion regulation training compared to control trials in the bilateral inferior frontal gyrus (IFG) and dorsolateral prefrontal cortex (DLPFC). Furthermore, cortical oxygenation decreased from session to session in the bilateral DLPFC. The relevance of the results for the psychotherapeutic treatment of MDD as well as further necessary investigations are discussed.

Prefrontal hypoactivation induced via social stress is more strongly associated with state rumination than depressive symptomatology

Previous studies have consistently shown a pattern of prefrontal hypoactivation in depressed patients (DP); however, it remains unclear whether this neural correlate is a consequence or concomitant feature of depression and/or whether ruminative thinking might be underlying. Using a sample comprising 65 healthy controls (HC) and 77 DP, we investigated the behavioral and neural correlates in response to stress and their association with depressive symptomatology, trait and state rumination. Fitting repeated-measurement MANOVAs including 21 fNIRS-channels covering the bilateral Inferior Frontal Gyrus (IFG), Dorsolateral Prefrontal Cortex (DLPFC) and Somatosensory Association Cortex (SAC), we investigated the predictive value of diagnostic group (HC vs. DP) and state rumination. In DP, we observed significantly lower increases in cortical oxygenation under stress in channels of the right IFG and bilateral DLPFC. Participants reporting lower state rumination and no increases in state rumination under stress showed higher increases in cortical oxygenation compared to the other groups and in more channels compared to the analysis on diagnostic group. Re-running our fNIRS-analysis while correcting for performance resulted in time-dependent changes dependent on group (DP vs. HC) no longer yielding significance, however for the differentiation of state rumination groups.

The mediating role of rumination between stress appraisal and cyberchondria

Cyberchondria, defined as excessive concern about one's health and looking for solutions to health problems on the Internet, is becoming increasingly common. This paper examines the relations between the dimensions of stress appraisal (threat, challenge-activity, challenge-passivity, harm/loss) and cyberchondria. We also tested whether these relations were mediated by rumination. The study included a nonclinical sample of N = 615 participants aged 18 to 83 years (M = 43.86, SD = 14.57, 53 % women), who completed the short version of the Cyberchondria Severity Scale, the Rumination Scale, and the Stress Appraisal Questionnaire. We used the Computer-Assisted Web Interview (CAWI) method. The results revealed that rumination was a partial mediator between stress as a threat and cyberchondria and between stress as a harm/loss and cyberchondria. Cyberchondria was positively related to rumination, stress as a threat, and stress as a harm/loss and negatively related to the challenge-activity dimension of stress appraisal. The study indicates that stress appraisal is linked to cyberchondria and that rumination plays an important role in this relationship.

Comparing two psychosocial stress paradigms for imaging environments - ScanSTRESS and fNIRS-TSST: correlation structures between stress responses

The present post-hoc analysis of two independent studies conducted in different laboratories aimed at comparing reactions of stress activation systems in response to two different psychosocial stress induction paradigms. Both paradigms are based on the Trier Social Stress Test and suited for neuroimaging environments. In an in-depth analysis, data from 67 participants (36 men, 31 women) from a functional magnetic resonance imaging study implementing ScanSTRESS were compared with data from a functional near-infrared spectroscopy (fNIRS) study implementing the so-called 'fNIRS-TSST' including 45 participants (8 men, 37 women). We tested the equivalence of correlation patterns between the stress response measures cortisol, heart rate, affect, and neural responses in the two samples. Moreover, direct comparisons of affective and neural responses were made. Similar correlation structures were identified for all stress activation systems, except for neural contrasts of paradigm conditions (stress vs. control) showing significant differences in association with cortisol, heart rate, and affective variables between the two samples. Furthermore, both stress paradigms elicited comparable affective and cortical stress responses. Apart from methodological differences (e.g., procedure, timing of the paradigms) the present analysis suggests that both paradigms are capable of inducing moderate acute psychosocial stress to a comparable extent with regard to affective and cortical stress responses. Moreover, similar association structures between different stress response systems were found in both studies. Thus, depending on the study objective and the respective advantages of each imaging approach, both paradigms have demonstrated their usefulness for future studies.

Joint-Channel-Connectivity-Based Feature Selection and Classification on fNIRS for Stress Detection in Decision-Making

Stress is one of the contributing factors affecting decision-making. Therefore, early stress recognition is essential to improve clinicians' decision-making performance. Functional near-infrared spectroscopy (fNIRS) has shown great potential in detecting stress. However, the majority of previous studies only used fNIRS features at the individual level for classification without considering the correlations among channels corresponding to the brain, which may provide distinguishing features. Hence, this study proposes a novel joint-channel-connectivity-based feature selection and classification algorithm for fNIRS to detect stress in decision-making. Specifically, this approach integrates feature selection and classifier modeling into a sparse model, where intra- and inter-channel regularizers are designed to explore potential correlations among channels to obtain discriminating features. In this paper, we simulated the decision-making of medical students under stress through the Trier Social Stress Test and the Balloon Analog Risk Task and recorded their cerebral hemodynamic alterations by fNIRS device. Experimental results illustrated that our method with the accuracy of 0.961 is superior to other machine learning methods. Additionally, the stress correlation and connectivity of brain regions calculated by feature selection have been confirmed in previous studies, which validates the effectiveness of our method and helps optimize the channel settings of fNIRS. This work was the first attempt to utilize a sparse model that simultaneously considers the sparsity of features and the correlation of brain regions for stress detection and obtained an admirable classification performance. Thus, the proposed model might be a useful tool for medical personnel to automatically detect stress in clinical decision-making situations.

Associations of Different Emotion Regulation Strategies with Coping-Efficacy, Rumination and Stress

Background

In order to investigate the relationship between stress-reactive rumination and the implementation of different emotion-regulation strategies (ERS), the pilot study at hand assessed ecological momentary assessment data twice per day from currently depressed patients (n = 21) and healthy controls (n = 23).

Methods

We analyzed differences in the implementation of ERS (body-based, behavioral, cognitive, social and multiple) and the occurrence of stress, rumination and self-efficacy between the groups as well as associations of ERS implementation at a given time-point and later levels of stress and rumination.

Results

Overall, patients reported higher subjective stress levels as well as increased ruminative thinking as a response to life stress and, in addition, a more frequent implementation of ERS. Comparing the implementation of ERS, cognitive ERS were implemented most often in the clinical group in comparison to healthy controls. All ERS were associated with increased self-efficacy at the time-point they were implemented. The implementation of cognitive ERS (e.g., reframing) at a given time-point significantly predicted reduced rumination and stress at later time-points.

Conclusions

Clinical and non-clinical groups seem to differ in their implementation of ERS. While the implementation of all investigated ERS is related to increased coping-efficacy, ERS on a cognitive level seem to be advantageous in reducing stress as well as rumination.

Trait rumination and social anxiety separately influence stress-induced rumination and hemodynamic responses

We aimed to investigate stress-reactive rumination in response to social stress and its association with social anxiety and trait rumination. From previous investigations we know that people with a certain vulnerability to rumination show increased stress-reactive rumination. However, up to date the possible influence of social anxiety on this relationship is still unclear. Therefore, we reanalyzed the data of two of our previous studies assessing healthy low and high trait ruminators and depressed patients performing the Trier Social Stress Test (TSST). We measured cortical oxygenation using functional Near-Infrared Spectroscopy (fNIRS) as well as different behavioral outcome measures (subjective stress levels, negative affect, state rumination). On a behavioral level, we found an influence of both, social anxiety and trait rumination, on state rumination, even when correcting for the other factor, respectively, implying two potentially independent factors of influence. On a neural level, we observed reduced activation in brain regions of the cognitive control network (CCN) for higher social anxiety and trait rumination, which might be a result of reduced cognitive and attentional control. Results indicate a specific role of social anxiety, at least on a behavioral level, and therefore implicate a crucial factor to be considered in the treatment of depression.

Vortioxetine Modulates the Regional Signal in First-Episode Drug-Free Major Depressive Disorder at Rest

BACKGROUND

Previous studies on brain functional alterations associated with antidepressants for major depressive disorder (MDD) have produced conflicting results because they involved short treatment periods and a variety of compounds.

METHODS

Resting-state functional magnetic resonance imaging scans were obtained from 25 first-episode drug-free patients with MDD and 25 healthy controls. The patients, who were treated with vortioxetine for 8 weeks, were scanned at two-time points (baseline and week 8 of treatment). The amplitude of low-frequency fluctuation (ALFF) in the imaging data was used to analyze local brain signal alterations associated with antidepressant treatment.

RESULTS

Compared with the controls, the patients at baseline showed decreased ALFF values in the right inferior temporal gyrus and increased ALFF values in the left inferior cerebellum, right cingulate gyrus and postcentral gyrus. After 8 weeks of vortioxetine treatment, patients showed increased ALFF values in the bilateral cingulate gyrus, middle temporal gyrus, medial superior frontal gyrus, and inferior cerebellum.

CONCLUSION

This study provided evidence that vortioxetine modulates brain signals in MDD sufferers. These findings contribute to the understanding of how antidepressants effect brain function.

What Does Sleeping Brain Tell About Stress? A Pilot Functional Near-Infrared Spectroscopy Study Into Stress-Related Cortical Hemodynamic Features During Sleep

People with mental stress often experience disturbed sleep, suggesting stress-related abnormalities in brain activity during sleep. However, no study has looked at the physiological oscillations in brain hemodynamics during sleep in relation to stress. In this pilot study, we aimed to explore the relationships between bedtime stress and the hemodynamics in the prefrontal cortex during the first sleep cycle. We tracked the stress biomarkers, salivary cortisol, and secretory immunoglobulin A (sIgA) on a daily basis and utilized the days of lower levels of measured stress as natural controls to the days of higher levels of measured stress. Cortical hemodynamics was measured using a cutting-edge wearable functional near-infrared spectroscopy (fNIRS) system. Time-domain, frequency-domain features as well as nonlinear features were derived from the cleaned hemodynamic signals. We proposed an original ensemble algorithm to generate an average importance score for each feature based on the assessment of six statistical and machine learning techniques. With all channels counted in, the top five most referred feature types are Hurst exponent, mean, the ratio of the major/minor axis standard deviation of the Poincaré plot of the signal, statistical complexity, and crest factor. The left rostral prefrontal cortex (RLPFC) was the most relevant sub-region. Significantly strong correlations were found between the hemodynamic features derived at this sub-region and all three stress indicators. The dorsolateral prefrontal cortex (DLPFC) is also a relevant cortical area. The areas of mid-DLPFC and caudal-DLPFC both demonstrated significant and moderate association to all three stress indicators. No relevance was found in the ventrolateral prefrontal cortex. The preliminary results shed light on the possible role of the RLPCF, especially the left RLPCF, in processing stress during sleep. In addition, our findings echoed the previous stress studies conducted during wake time and provides supplementary evidence on the relevance of the dorsolateral prefrontal cortex in stress responses during sleep. This pilot study serves as a proof-of-concept for a new research paradigm to stress research and identified exciting opportunities for future studies.