Childhood trauma history is linked to abnormal brain metabolism of non-medicated adult patients with major depressive disorder

Early maladaptive schemas from child maltreatment in depression and psychotherapeutic remediation: a predictive coding framework

Schemas are affective-cognitive conceptual models of self, others and the world, derived from life experience. Predictive Coding theory proposes schema are created from perceptual input as follows: Based on previous similar experiences, the brain generates schema, with "predictions," expectations of future sensory experiences. Discrepancy between predicted versus actual experience produces a "prediction error." Exposure to prediction errors considered more certain than the predictions of a schema prompts the hippocampus to update and revise the schema. Hypothesized underlying mechanisms include memory reconsolidation, extinction and pattern separation. Depression is characterized by negative schemas predicting helplessness, hopelessness and worthlessness. Early maladaptive schemas, from childhood, are implicated in mediating the greater risk of depression from childhood maltreatment. Prominent examples include the Defectiveness/Shame self-schema, predicting a flawed, unlovable self and the Social Isolation/Alienation schema, predicting isolation. Predictive Coding offers the following biopsychosocial hypothesis explaining how childhood maltreatment promotes depressogenic early maladaptive schema, and how psychotherapy can help: Schema can be difficult to change because of an attention/memory bias away from schema-incongruent information that generate prediction errors prompting schema revision. Childhood maltreatment exacerbates this learning bias. Maladaptive coping styles associated with childhood maltreatment, decrease exposure to experiences contradicting depressogenic schema. Biological changes from childhood maltreatment, including inflammation, interfere with hippocampal updating of schema. Finally, impaired socio-occupational function, associated with childhood maltreatment, reinforces depressogenic schema. By targeting factors associated with childhood maltreatment, which reinforce depressogenic early maladaptive schema or diminish prediction errors, psychotherapy can facilitate revision of depressogenic schema.

Alteration of cortical structure and functional connectivity in childhood trauma

Childhood trauma acts as an independent risk factor for mental disorders. This study utilized multi-modal MRI techniques to integrate cortical structural measurements and functional connectivity (FC) to identify neurobiological markers of trauma. This study recruited 215 participants, divided into a trauma group (n = 57) and a well-matched non-trauma group (n = 158) based on the childhood trauma questionnaire. We compared differences in cortical volume (CV) and surface area (SA) between the groups and performed a seed-based FC analysis using seeds at identified structural clusters. A machine learning approach with logistic regression was employed to classify individuals with and without childhood trauma. The childhood trauma group showed uniformly lower SA and CV. Reduced SA was found in a cluster consisting of the left precentral gyrus, postcentral gyrus, and paracentral lobule, and decreased CV was observed in a cluster involving the left postcentral gyrus. Seed-based FC analyses revealed decreased FC between the CV-cluster and regions of the bank of the superior temporal sulcus, inferior parietal gyrus, and supramarginal gyrus. In contrast, SA-related clusters showed increased FC with the left postcentral gyrus, superior parietal gyrus, and supramarginal gyrus. The logistic regression model, based on these structural and functional features, achieved a statistically significant classification accuracy of 78 % (p < 0.001) in distinguishing groups with and without childhood trauma. The childhood trauma group exhibits abnormalities in cortical structure and FC which are related to aberrant emotional and cognitive functions. These findings may serve as neuroimaging biomarkers of childhood trauma.

Gender differences of neurometabolic and neuroendocrine alternations and its lateralization in adolescents with major depressive disorder

BACKGROUND

The clinical characteristics of major depressive disorder (MDD) in adolescents show notable gender-related differences, but the cause of these differences is still not understood. The current research concentrates on the changes in neurometabolism and neuroendocrine function, aiming to identify differences in endocrine function and brain metabolism between male and female adolescents with MDD.

METHODS

A total of 121 teenagers diagnosed with MDD (43 males and 78 females) were enlisted as participants. Measurement was conducted on levels of endocrine hormones, which included free tri-iodothyronine (FT3), total tri-iodothyronine (TT3), free thyroxin (FT4), total thyroxin (TT4), thyroid-stimulating hormone (TSH), cortisol, and adrenocorticotropic hormone (ACTH). Obtained through 1H-MRS, the N-acetyl aspartate (NAA) and choline containing compounds (Cho) to creatine (Cr) ratios were acquired for the prefrontal whiter matter (PWM), anterior cingulate cortex (ACC), basal ganglia (BG), thalamus, and cerebellum.

RESULT

After adjusting for multiple comparisons, female adolescents with MDD showed lower ACTH levels compared to their male counterparts. An increased lateralization index (LI) was observed in female patients for both the thalamic Cho/Cr ratio and the basal ganglia NAA/Cr ratio. Additionally, an intriguing finding was that in male adolescent patients, TT4 levels were significantly correlated with the Cho/Cr ratio in the left cerebellum. However, no such correlation between hormones and brain metabolism was found in females.

CONCLUSIONS

Gender differences in endocrine and neurometabolic abnormalities may contribute to the gender-specific pathophysiology of MDD in adolescent patients. Metabolic abnormalities and lateralization changes are observed in different brain regions for male and female MDD patients.

Early Life Stress and Major Depressive Disorder-An Update on Molecular Mechanisms and Synaptic Impairments

Early life stress (ELS), characterized as abuse, neglect, and abandonment, can cause several adverse consequences in the lives of affected individuals. ELS experiences can affect an individual's development in variable ways, persisting in the long term and promoting lasting impacts, considering that early exposure to stressors can be biologically incorporated, as prolonged stimulation of stress response systems affects the development of the brain structure and other body systems, increasing the risk of diseases associated with stress and cognitive impairment. This type of stress increases the risk of developing major depressive disorder (MDD) in a severe form that does not respond adequately to traditional antidepressant treatments. Several alterations are studied as mechanisms that relate ELS with MDD, such as epigenetic alterations, neurotransmitters, and neuronal signaling. This review discusses research that brings evidence about the ELS mechanisms involved in synaptic impairments and MDD. The processes involved in epigenetic changes and the HPA axis are highlighted, as well as changes in neurotransmitters and neuronal signaling mechanisms.

Neural Functioning in Late-Life Depression: An Activation Likelihood Estimation Meta-Analysis

Late-life depression (LLD) is a relatively common and debilitating mental disorder, also associated with cognitive dysfunctions and an increased risk of mortality. Considering the growing elderly population worldwide, LLD is increasingly emerging as a significant public health issue, also due to the rise in direct and indirect costs borne by healthcare systems. Understanding the neuroanatomical and neurofunctional correlates of LLD is crucial for developing more targeted and effective interventions, both from a preventive and therapeutic standpoint. This ALE meta-analysis aims to evaluate the involvement of specific neurofunctional changes in the neurophysiopathology of LLD by analysing functional neuroimaging studies conducted on patients with LLD compared to healthy subjects (HCs). We included 19 studies conducted on 844 subjects, divided into 439 patients with LLD and 405 HCs. Patients with LLD, compared to HCs, showed significant hypoactivation of the right superior and medial frontal gyri (Brodmann areas (Bas) 8, 9), left cingulate cortex (BA 24), left putamen, and left caudate body. The same patients exhibited significant hyperactivation of the left superior temporal gyrus (BA 42), left inferior frontal gyrus (BA 45), right anterior cingulate cortex (BA 24), right cerebellar culmen, and left cerebellar declive. In summary, we found significant changes in activation patterns and brain functioning in areas encompassed in the cortico-limbic-striatal network in LLD. Furthermore, our results suggest a potential role for areas within the cortico-striatal-cerebellar network in the neurophysiopathology of LLD.

The Importance of Adverse Childhood Experiences in Depressive Symptoms and Their Biological Consequences in Healthy Adults: Results of a Polish University Student Study

Adverse childhood experiences (ACEs) have a long-lasting effect on both physical and mental health. The aim of this study was to assess the consequences of ACEs and experienced stress on depression and the role of biological disturbances in this relationship in a student population. Potential participants filled out a screening questionnaire; 60 of 126 students met the inclusion criteria and were tested for the severity of stress and depressive symptoms, ACEs, dietary habits, and serum concentrations of biological markers. Depressive symptoms were related to a younger age (p = 0.012), a higher severity of stress (p = 0.001), ACEs (p = 0.007), and lower triglyceride (p = 0.01) and cortisol concentrations (p = 0.01). An inverse relationship between the triglyceride concentration and emotional abuse (R = -0.38) and emotional neglect (R = -0.33) was found. Occludin was positively associated with physical abuse (R = 0.31). Cortisol was inversely associated with emotional abuse (R = -0.35). Emotional neglect was associated with lipopolysaccharide binding protein (R = 0.38) and insulin levels (R = -0.31). The most promising multi-panel of biomarkers for recognizing mood symptoms included triglycerides, tight junction protein 1, and cortisol (cut-offs of ≤ 95.5 mg/dL, 0.72 ng/mL, and 134.63 ng/mL, respectively). This study confirmed the association between ACEs and depressive symptoms and the importance of psychological stress in developing mood disorders. ACEs could affect biological dysregulation. Some of the biological markers could be helpful in early detection of depression.

Altered neurometabolite levels in the brains of patients with depression: A systematic analysis of magnetic resonance spectroscopy studies

BACKGROUND

Numerous magnetic resonance spectroscopy (MRS) studies have reported metabolic abnormalities in the brains of patients with depression, although inconsistent results have been reported. The aim of this study was to explore changes in neurometabolite levels in patients with depression across large-scale MRS studies.

METHOD

A total of 307 differential metabolite entries associated with depression were retrieved from 180 MRS studies retrieved from the Metabolite Network of Depression Database. The vote-counting method was used to identify consistently altered metabolites in the whole brain and specific brain regions of patients with depression.

RESULTS

Only few differential neurometabolites showed a stable change trend. The levels of total choline (tCho) and the tCho/N-acetyl aspartate (NAA) ratio were consistently higher in the brains of patients with depression, and that the levels of NAA, glutamate and glutamine (Glx), and gamma-aminobutyric acid (GABA) were lower. For specific brain regions, we found lower Glx levels in the prefrontal cortex and lower GABA concentrations in the occipital cortex. We also found lower concentrations of NAA in the anterior cingulate cortex and prefrontal cortex. The levels of tCho were higher in the prefrontal cortex and putamen.

CONCLUSION

Our results revealed that most altered neurometabolites in previous studies lack of adequate reproducibility. Through vote-counting method with large-scale studies, downregulation of glutamatergic neurometabolites, impaired neuronal integrity, and disturbed membrane metabolism were found in the pathobiology of depression, which contribute to existing knowledge of neurometabolic changes in depression. Further studies based on a larger dataset are needed to confirm our findings.

Research and Diagnostic Algorithmic Rules (RADAR) and RADAR Plots for the First Episode of Major Depressive Disorder: Effects of Childhood and Recent Adverse Experiences on Suicidal Behaviors, Neurocognition and Phenome Features

Recent studies have proposed valid precision models and valid Research and Diagnostic Algorithmic Rules (RADAR) for recurrent major depressive disorder (MDD). The aim of the current study was to construct precision models and RADAR scores in patients experiencing first-episode MDD and to examine whether adverse childhood experiences (ACE) and negative life events (NLE) are associated with suicidal behaviors (SB), cognitive impairment, and phenome RADAR scores. This study recruited 90 patients with major depressive disorder (MDD) in an acute phase, of whom 71 showed a first-episode MDD (FEM), and 40 controls. We constructed RADAR scores for ACE; NLE encountered in the last year; SB; and severity of depression, anxiety, chronic fatigue, and physiosomatic symptoms using the Hamilton Depression and Anxiety Rating Scales and the FibroFatigue scale. The partial least squares analysis showed that in FEM, one latent vector (labeled the phenome of FEM) could be extracted from depressive, anxiety, fatigue, physiosomatic, melancholia, and insomnia symptoms, SB, and cognitive impairments. The latter were conceptualized as a latent vector extracted from the Verbal Fluency Test, the Mini-Mental State Examination, and ratings of memory and judgement, indicating a generalized cognitive decline (G-CoDe). We found that 60.8% of the variance in the FEM phenome was explained by the cumulative effects of NLE and ACE, in particular emotional neglect and, to a lesser extent, physical abuse. In conclusion, the RADAR scores and plots constructed here should be used in research and clinical settings, rather than the binary diagnosis of MDD based on the DSM-5 or ICD.

Similarities and differences in working memory and neurometabolism of obsessive-compulsive disorder and major depressive disorder

BACKGROUND

Obsessive-compulsive disorder (OCD) and major depressive disorder (MDD) both showed cognitive impairment, and the altered neurometabolic may associate with cognitive impairment. However, there are limited comparative working memory (WM) and neuroimaging studies on these two disorders. Therefore, we investigated the characteristics of WM and neurometabolic changes in patients with OCD and MDD.

METHODS

A total of 64 unmedicated patients (32 OCD and 32 MDD), and 33 healthy controls (HC) were included to conduct WM assessment comprising Digit Span Test (DST), 2-back task and Stroop Color and Word Test (SCWT). Additionally, all subjects underwent protons magnetic resonance spectroscopy (¹H-MRS) to collect neurometabolic ratios of N-acetyl aspartate (NAA) and choline-containing compounds (Cho) to creatine (Cr) in the prefrontal cortex (PFC) and lentiform nucleus (LN). Finally, differential and correlation analysis were conducted to investigate their characteristics and relationships.

RESULTS

Compared with HC, both OCD and MDD patients exhibited a lower accuracy rate in the 2-back task, and only MDD patients performed worse in DST scores and longer reaction times in SCWT (all p < 0.05). Both OCD and MDD patients had lower NAA/Cr ratios in bilateral PFC (all p < 0.05). And the decreased NAA/Cr ratios in right PFC were positively correlated to DST scores in MDD group (r = 0.518, p = 0.003).

CONCLUSIONS

Both OCD and MDD showed WM impairment and neurometabolic alterations in PFC. Besides, MDD performed more severe and broader WM impairment compared to OCD. Moreover, the dysfunction of PFC may underlie the neural basis of WM impairment in MDD.

Depression and suicide attempts in Chinese adolescents with mood disorders: the mediating role of rumination

Mood disorders (MD) are often associated with a higher incidence of suicidal behavior, especially in adolescent patients. However, the mechanisms by which depression affects suicide attempts in adolescents with MD remain poorly elucidated. Therefore, the purpose of this study was to determine the incidence, risk factors, and clinical correlates of suicide attempts in Chinese adolescent patients with MD, as well as the inter-relationship between depressive symptoms, rumination, and suicide attempts, and the role of rumination in mediating depression and suicide attempts. A total of 331 MD adolescent patients aged 11 ~ 18 years were recruited from a psychiatric hospital. Suicide attempts were assessed with the MINI Suicide Scale. Depressed symptoms were measured with the Patient Health Questionnaire-9 (PHQ-9). To assess rumination, we used the 21-item Chinese version of the Ruminative Responses Scale (RRS). Overall, the percentage of suicide attempts among MD adolescents was 51.96%, with a higher percentage of females (58.62%) than males (36.36%). Compared to non-suicide attempters, suicide attempters had higher scores on PHQ-9, RRS, depression-related, brooding, and reflective pondering. Gender and RRS were independently associated with suicide attempts. Rumination played a fully mediating role between depression and suicide attempts. In addition, the mediating effect of depression between rumination and suicide attempts was not significant. The incidence of suicide attempts was higher in MD adolescents than in general adolescents. Gender and rumination were associated with suicide attempts in MD adolescents. Moreover, rumination mediated the correlation between depressive symptoms and suicide attempts, suggesting that rumination may be an important intervention component for clinical staff to prevent suicidal behavior in adolescents with MD.

Adverse Childhood Experiences Predict the Phenome of Affective Disorders and These Effects Are Mediated by Staging, Neuroimmunotoxic and Growth Factor Profiles

Adverse childhood experiences (ACEs) enhance pro-inflammatory and pro-oxidant responses. In affective disorders, recent precision nomothetic psychiatry studies disclosed new pathway phenotypes, including an ROI-reoccurrence of illness (ROI)-oxidative stress latent construct. The aim of the present study is to delineate a) whether ACEs sensitize the M1 macrophage, the T helper cells (Th)1, Th2, and Th17, the IRS (immune-inflammatory-responses system), the CIRS (compensatory immunoregulatory system), and the neuroimmunotoxic and growth factor (GF) profiles and whether they are associated with ROI and the phenome of affective disorders and b) the molecular pathways underpinning the effects of the ACEs. We collected supernatants of stimulated (5 μg/mL of PHA and 25 μg/mL of LPS) and unstimulated diluted whole blood in 20 healthy controls and 30 depressed patients and measured a panel of 27 cytokines/GF using a Luminex method. ACEs (comprising mental and physical trauma, mental neglect, domestic violence, family history of mental disease, and parent loss) are accompanied by the increased stimulated, but not unstimulated, production of M1, Th1, Th2, Th17, IRS, neuroimmunotoxic, and GF profiles and are strongly correlated with ROI and the phenome. A latent vector extracted from the ROI features (recurrent episodes and suicidal behaviors) and the IRS/neuroimmunotoxic/GF profiles explains 66.8% of the variance in the phenome and completely mediates the effects of ACEs on the phenome. Enrichment analysis showed that the ACE-associated sensitization of immune/GF profiles involves JAK-STAT, nuclear factor-κB, tumor necrosis factor-α, G-protein coupled receptor, PI3K/Akt/RAS/MAPK, and hypoxia signaling. In summary, the ACE-induced sensitization of immune pathways and secondary immune hits predicts the phenome of affective disorders.

Exploring changes in depression and radiology-related publications research focus: A bibliometrics and content analysis based on natural language processing

OBJECTIVE

This study aims to construct and use natural language processing and other methods to analyze major depressive disorder (MDD) and radiology studies' publications in the PubMed database to understand the historical growth, current state, and potential expansion trend.

METHODS

All MDD radiology studies publications from January 2002 to January 2022 were downloaded from PubMed using R, a statistical computing language. R and the interpretive general-purpose programming language Python were used to extract publication dates, geographic information, and abstracts from each publication's metadata for bibliometric analysis. The generative statistical algorithm "Latent Dirichlet allocation" (LDA) was applied to identify specific research focus and trends. The unsupervised Leuven algorithm was used to build a network to identify relationships between research focus.

RESULTS

A total of 5,566 publications on MDD and radiology research were identified, and there is a rapid upward trend. The top-cited publications were 11,042, and the highly-cited publications focused on improving diagnostic performance and establishing imaging standards. Publications came from 76 countries, with the most from research institutions in the United States and China. Hospitals and radiology departments take the lead in research and have an advantage. The extensive field of study contains 12,058 Medical Subject Heading (MeSH) terms. Based on the LDA algorithm, three areas were identified that have become the focus of research in recent years, "Symptoms and treatment," "Brain structure and imaging," and "Comorbidities research."

CONCLUSION

Latent Dirichlet allocation analysis methods can be well used to analyze many texts and discover recent research trends and focus. In the past 20 years, the research on MDD and radiology has focused on exploring MDD mechanisms, establishing standards, and constructing imaging methods. Recent research focuses are "Symptoms and sleep," "Brain structure study," and "functional connectivity." New progress may be made in studies on MDD complications and the combination of brain structure and metabolism.