Brain structure associated with automatic thoughts predicted depression symptoms in healthy individuals

The effect of the Mindfulness-Based Stress Reduction program on the level of perceived stress and geriatric depression in older adults: a randomised controlled study

BACKGROUND

This study aims to reveal the effect of the Mindfulness-Based Stress Reduction (MBSR) program on the perceived stress and geriatric depression levels of older adults.

METHODS

The data of this randomised controlled experimental study were obtained from older adults living in a nursing home in Turkey, between May and November, 2021. The target population consisted of 54 older adults living in the specified nursing home, and the sample consisted of 48 older adults who met the inclusion criteria (n = 24 intervention group, n = 24 control group). The MBSR program was applied to the older adults in the intervention group. Data were collected using the Personal Information Form, the Perceived Stress Scale, and the Geriatric Depression Scale-Short Form.

RESULTS

It was revealed that the MBSR program led to a 54.7% decrease in the perceived stress total scores of the participants, and a 49.9% and 49.8% decrease in the sub-dimensions of perceived insufficient self-efficacy and perceived stress/distress, respectively. It was also found that the program reduced geriatric depression scores by 14.1% and created a significant effect (P < 0.05).

CONCLUSIONS

It can be concluded that the MBSR program is an effective method in reducing the perceived stress and geriatric depression levels of older adults. This effect has been maintained 1 month after the completion of the program.

Relationships of the Big Five facets and dysfunctional attitudes with depression

There are two parallel lines of research on the relationship between personality and depression, one based on the Big Five personality model and one on Beck's cognitive theory of depression. However, no study has jointly examined the dimensions and facets of the Big Five and the dysfunctional attitudes of Beck's theory. This was the objective of the present study. The Revised NEO Personality Inventory (NEO PI-R), the Dysfunctional Attitude Scale (DAS-A), and the Beck Depression Inventory (BDI-IA) were applied to 221 adults from the Spanish general population (53.7% females; mean age: 38.3 years). Various multiple linear regression analyses revealed that only the facet of depression was significantly related to depressive symptomatology. The different associations of the broad and specific personality traits and the need to control as many third variables as possible to prevent the finding of spurious relationships are discussed.

Regional gray matter volume mediates the relationship between neuroticism and depressed emotion

The underlying psychological mechanism of the effect of neuroticism on depressed emotion has been widely studied. However, the neural mechanism of this relationship remains unclear. Therefore, the present study aimed to apply voxel-based morphometry (VBM) to explore the neural mechanism of the relationship between depressed emotion and neuroticism in healthy and young participants through longitudinal tracking research. The behavioral results showed that neuroticism was positively related to depressed emotion at T1 and T2 (6 months later). The VBM analysis revealed that neuroticism positively associated with the gray matter volume (GMV) in the dorsal medial prefrontal cortex (dmPFC). Mediation analysis was conducted to investigate the neural basis of the association between depressed emotion and neuroticism. The mediation result revealed that GMV of the dmPFC partially mediates the relationship between neuroticism and depressed emotion at T1 but not T2. Together, these findings suggest that the gray matter volume of dmPFC could may affect the relationship between depressed emotion and neuroticism.

Why is my world so dark? Effects of child physical and emotional abuse on child depression: The mediating role of self-compassion and negative automatic thoughts

BACKGROUND

The adverse effects of childhood maltreatment on the mental health of individuals have received increasing attention. However, it is unclear whether the effects of invisible emotional abuse and visible physical abuse differ on child depression and the mediating processes under this relationship.

OBJECTIVE

This study aimed to investigate whether self-compassion and negative automatic thoughts mediated the effects of physical abuse and emotional abuse on child depression and the underlying mechanistic differences.

PARTICIPANTS AND SETTING

Using a two-wave longitudinal design, a total of 946 elementary school students completed the self-report questionnaires at two-time points, including child abuse, self-compassion, negative automatic thoughts, and depression.

METHODS

This study constructed structural equation models (SEM) to examine the mediating role of self-compassion and negative automatic thoughts between emotional/physical abuse and child depression.

RESULTS

After controlling for demographic covariates, structural equation modeling (SEM) showed that only physical abuse significantly and positively predicted child depression directly (β = 0.16, p < 0.01). Emotional abuse was positively associated with child depression through self-compassion (β = 0.02, p < 0.05) and negative automatic thoughts (β = 0.02, p < 0.05), while physical abuse influenced child depression only via negative automatic thoughts (β = 0.07, p < 0.001).

CONCLUSIONS

The findings showed a strong association between emotional/physical abuse and child depression, but there were mechanistic differences under these relationships. Therefore, we also need to pay equal attention to the adverse effects of emotional abuse on children.

The correlation between mindfulness and negative automatic thoughts in depression patients

PURPOSE

The purpose of this study is to determine the correlation between mindfulness and negative automatic thoughts in depression patients.

DESIGN AND METHODS

The sample of the study, which was conducted as a correlational descriptive study, was determined as 151 patients with depression via power analysis. The Descriptive Characteristics Form, "Mindful Attention Awareness Scale (MAAS)," and "Automatic Thoughts Questionnaire-Negative (ATQ-N)" were used to collect the data.

FINDINGS

It was determined that the total mean score of the participants was 32.59 ± 8.55 in the MAAS and 109.06 ± 15.07 in the ATQ-N. In the study, it was found that there was a statistically negative strong correlation between mindfulness and negative automatic thoughts of patients with depression (p < 0.05).

PRACTICE IMPLICATIONS

In the study, it was determined that the patients had higher negative automatic thoughts and lower mindfulness. Also, mindfulness accounted for negative automatic thoughts at the rate of 56%.

Integrating Multimodal and Longitudinal Neuroimaging Data with Multi-Source Network Representation Learning

Uncovering the complex network of the brain is of great interest to the field of neuroimaging. Mining from these rich datasets, scientists try to unveil the fundamental biological mechanisms in the human brain. However, neuroimaging data collected for constructing brain networks is generally costly, and thus extracting useful information from a limited sample size of brain networks is demanding. Currently, there are two common trends in neuroimaging data collection that could be exploited to gain more information: 1) multimodal data, and 2) longitudinal data. It has been shown that these two types of data provide complementary information. Nonetheless, it is challenging to learn brain network representations that can simultaneously capture network properties from multimodal as well as longitudinal datasets. Here we propose a general fusion framework for multi-source learning of brain networks - multimodal brain network fusion with longitudinal coupling (MMLC). In our framework, three layers of information are considered, including cross-sectional similarity, multimodal coupling, and longitudinal consistency. Specifically, we jointly factorize multimodal networks and construct a rotation-based constraint to couple network variance across time. We also adopt the consensus factorization as the group consistent pattern. Using two publicly available brain imaging datasets, we demonstrate that MMLC may better predict psychometric scores than some other state-of-the-art brain network representation learning algorithms. Additionally, the discovered significant brain regions are synergistic with previous literature. Our new approach may boost statistical power and sheds new light on neuroimaging network biomarkers for future psychometric prediction research by integrating longitudinal and multimodal neuroimaging data.

Mindfulness improves health worker's occupational burnout: the moderating effects of anxiety and depression

OBJECTIVE

This study aims to test whether health workers experiencing both depression, anxiety and burnout would show severer burnout symptoms, and the potential moderating effect of anxiety and depression on mindfulness improving burnout.

METHODS

This study was conducted in a comprehensive hospital of China in 2016. A total of 924 healthcare professionals were included in this cross-sectional study with a response rate of 82.0%. Maslach Burnout Inventory, Patient Health Questionnaire-9, Generalized Anxiety Disorder, Perceived Stress Scale and Short Inventory of Mindfulness Capability were used to measure burnout, depression, anxiety, perceived stress and mindfulness. Univariate analysis, correlation analysis, mediation analysis and moderated mediation analysis were conducted.

RESULTS

Burnout and anxiety group (BA) and burnout and depression group (BD) reported significantly higher burnout scores compared to the burnout-only group (BO) (59.90 ± 15.700, 56.20 ± 13.190, and 49.99 ± 11.955, respectively). Perceived stress was a mediator between mindfulness and occupational burnout, and depression and anxiety significantly moderated the mediation path between mindfulness and occupational burnout (β for stress in moderated mediation models with depression and anxiety respectively: β = 1.8088, p < 0.001, and β = 1.7908, p < 0.001). For participants who experienced a high level of depression, less occupational burnout was reduced as mindfulness increased. Indirect effect of mindfulness reducing occupational burnout was greater among participants who experienced less anxiety.

CONCLUSIONS

Depression and anxiety weakened the mindfulness ability on relieving occupational burnout, which could be the potential mechanism of the worsening effect of depression and anxiety.

Gray matter structures associated with neuroticism: A meta-analysis of whole-brain voxel-based morphometry studies

Neuroticism is major higher-order personality trait and has been robustly associated with mental and physical health outcomes. Although a growing body of studies have identified neurostructural markers of neuroticism, the results remained highly inconsistent. To characterize robust associations between neuroticism and variations in gray matter (GM) structures, the present meta-analysis investigated the concurrence across voxel-based morphometry (VBM) studies using the anisotropic effect size signed differential mapping (AES-SDM). A total of 13 studies comprising 2,278 healthy subjects (1,275 females, 29.20 ± 14.17 years old) were included. Our analysis revealed that neuroticism was consistently associated with the GM structure of a cluster spanning the bilateral dorsal anterior cingulate cortex and extending to the adjacent medial prefrontal cortex (dACC/mPFC). Meta-regression analyses indicated that the neuroticism-GM associations were not confounded by age and gender. Overall, our study is the first whole-brain meta-analysis exploring the brain structural correlates of neuroticism, and the findings may have implications for the intervention of high-neuroticism individuals, who are at risk of mental disorders, by targeting the dACC/mPFC.

The Altered Somatic Brain Network in State Anxiety

Highly anxious individuals often show excessive emotional arousal, somatic arousal, and characteristics of mental illness. Previous researches have extensively investigated the emotional and cognitive biases of individuals with high anxiety, but overlooked the spontaneous brain activity and functional connections associated with somatic arousal. In this study, we investigated the relationship between state anxiety and the spontaneous brain activity of the somatosensory cortex in a non-clinical healthy population with state anxiety. Furthermore, we also explored the functional connections of the somatosensory cortex. We found that state anxiety was positively correlated with the amplitude of low-frequency fluctuations (ALFFs) of somatic related brain regions, including the right postcentral gyrus (somatosensory cortex) and the right precentral gyrus (somatic motor cortex). Furthermore, we found that state anxiety was positively correlated with the connections between the postcentral gyrus and the left cerebellum gyrus, whereas state anxiety was negatively correlated with the connectivity between the postcentral gyrus and brain regions including the left inferior frontal cortex and left medial superior frontal cortex. These results revealed the association between the anxious individuals' body-loop and state anxiety in a healthy population, which revealed the importance of somatic brain regions in anxiety symptoms and provided a new perspective on anxiety for further study.

Successful management of automatic dysfunctional thoughts in the context of negative emotions

BACKGROUND AND OBJECTIVES

Cognitive and affective overloads trigger automatic dysfunctional thoughts and undermine their voluntary management [ADTs; Beck, A. T. (1976). Cognitive therapy and the emotional disorders. New York: Meridian; Wegner, D. M. (1994). Ironic processes of mental control. Psychology Review, 101(1), 34-52]. Taking into account intense negative emotions as triggers for the ADTs, we explored whether context (i.e., social context) and emotional experience (i.e., emotional intensity) predict the successful management of ADTs. We also examine the moderating role of difficulties in emotional regulation strategies.

METHOD

Thirty-eight participants wrote in a personal online diary of at least 10 times in 40 weeks. We analyzed the conditions for managing ADTs by means of multilevel in stages models.

RESULTS

Emotional intensity negatively predicted successful management of ADTs. Attempts to control ADTs and work context positively predicted successful management of ADTs. The negative relation between the emotional intensity and the management of ADTs was stronger as individuals were less aware of their own emotions, and was weaker as they had less clear representations of their own emotions. Superior access to emotion regulation strategies explained a stronger relationship between the work context and the successful management of ADTs.

CONCLUSIONS

We discuss theoretical and practical implications of the results.

Individual differences in corticolimbic structural profiles linked to insecure attachment and coping styles in motor functional neurological disorders

BACKGROUND

Insecure attachment and maladaptive coping are important predisposing vulnerabilities for Functional Neurological Disorders (FND)/Conversion Disorder, yet no prior structural neuroimaging studies have investigated biomarkers associated with these risk factors in FND populations. This magnetic resonance imaging study examined cortical thickness and subcortical volumes associated with self-reported attachment and coping styles in patients with FND. We hypothesized that insecure attachment and maladaptive coping would relate to limbic-paralimbic structural alterations.

METHODS

FreeSurfer cortical thickness and subcortical volumetric analyses were performed in 26 patients with motor FND (21 women; 5 men) and 27 healthy controls (22 women; 5 men). For between-group comparisons, patients with FND were stratified by Relationship Scales Questionnaire, Ways of Coping Scale-Revised, and Connor-Davidson Resilience Scale scores. Within-group analyses were also performed in patients with FND. All analyses were performed in the complete cohort and separately in women only to evaluate for gender-specific effects. Cortical thickness analyses were whole-brain corrected at the cluster-wise level; subcortical analyses were Bonferroni corrected.

RESULTS

In women with FND, dismissing attachment correlated with reduced left parahippocampal cortical thickness. Confrontive coping was associated with reduced right hippocampal volume, while accepting responsibility positively correlated with right precentral gyrus cortical thickness. These findings held adjusting for anti-depressant use. All FND-related findings were within the normal range when compared to healthy women.

CONCLUSION

These observations connect individual-differences in limbic-paralimbic and premotor structures to attachment and coping styles in FND. The relationship between parahippocampal thickness and dismissing attachment may indicate aberrant social-emotional and contextual appraisal in women with FND.

Effects of subclinical depression, anxiety and somatization on brain structure in healthy subjects

BACKGROUND

Dimensional approaches in highly prevalent psychiatric disorders like depression or anxiety could lead to a better understanding of pathogenesis and advantages in early detection and prevention. In an effort to better understand associations of brain structural variation across the depression/anxiety spectra, we investigated minor subclinical symptoms in a non-clinical healthy population.

METHODS

We studied 177 healthy subjects from the community, who underwent high-resolution T1-weighted 3T MRI and completed the symptom-checklist-90 (SCL-90-R). Using voxel-based morphometry (VBM) analysis with CAT12 software, we correlated SCL-90-R-subscales for depression, anxiety, and somatization with gray matter across the brain.

RESULTS

Significant positive gray matter correlations emerged across all three scales in different areas: the depression subscale correlated positively with gray matter in the Rolandic operculum, superior temporal gyrus (left) and postcentral gyrus (bilateral), the anxiety subscale correlated positively with middle temporal gyrus, Rolandic operculum, middle cingular gyrus and precuneus bilaterally, and the somatization subscale with left inferior prefrontal cortex. Somatization also showed negative correlations with cerebellar vermis and right supplementary motor area.

LIMITATIONS

Our study is limited to VBM and does not include surface-based measures. It also only contains subjects with very small psychological distress by partly overlapping symptoms.

CONCLUSION

Our findings are consistent with a non-linear relationship between symptom severity and cortical volume in several brain areas involved in both emotion regulation as well as altered in clinically manifest depressive/anxiety disorders.

Family and Individual Risk and Protective Factors of Depression among Chinese Migrant Children with Oppositional Defiant Disorder Symptoms

Migrant children reached 35.81 million in China and were vulnerable to serious emotional problems including depression. The present study aimed to identify the family and individual risk and protective factors for depression in an at-risk sample of Chinese migrant children. Participants were 368 children (9.47 ± 1.46 years old, 73.4% boys) who had at least one symptom of Oppositional Defiant Disorder symptoms (ODD) and their parents in Mainland China. Risk and protective factors within both family (i.e., family maltreatment and family functioning) and individual (i.e., automatic thoughts and resilience) perspectives. Family maltreatment and negative automatic thoughts served as risk factors in relation to children's depression. Further, automatic thoughts mediated the relationship between family maltreatment and children's depression. Family functioning (cohesion, but bot adaptability) and individual resilience could buffer the effects of risk factors in the Structure Emotion Model such that both cohesion and resilience moderated the relationship between family maltreatment and children's automatic thoughts only. Our findings highlighted the urgent need to decrease risk factors and increase protective factors of both family and child individual characteristics in prevention and intervention depression among migrant children with ODD symptoms in China.