Explore the vast range of titles available.

[...]the structural-functional connectivity (SC-FC) relationship is strengthened with age, which is consistent with the finding that significant correlations along intra-hemispheric tracts are observed between structural connectivity and functional connectivity in adults but not in children. [...]the maturation of some functional connections in the default-mode network precedes that of structural connectivity. Han Chinese participants aged 16 to 55 years who met the criteria of MDD as specified in the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) were recruited from the Mental Health Center of West China Hospital of Sichuan University. The Benjamini–Hochberg procedure was used to control false discovery rates (FDRs) of multiple tests in comparing SC-FC coupling and correlation coefficients between patients with MDD and HCs. There was a statistically significant difference in correlation coefficients between SC-FC coupling of SMA_R and DMS_MCL_S in patients with MDD and HCs (P <0.01, q = 0.02) after correction for multiple testing [Table 1].

BackgroundInflammation plays a crucial role in the pathogenesis of major depressive disorder (MDD) and bipolar disorder (BD). This study aimed to examine whether the dysregulation of complement components contributes to brain structural defects in patients with mood disorders.MethodsA total of 52 BD patients, 35 MDD patients, and 53 controls were recruited. The human complement immunology assay was used to measure the levels of complement factors. Whole brain-based analysis was performed to investigate differences in gray matter volume (GMV) and cortical thickness (CT) among the BD, MDD, and control groups, and relationships were explored between neuroanatomical differences and levels of complement components.ResultsGMV in the medial orbital frontal cortex (mOFC) and middle cingulum was lower in both patient groups than in controls, while the CT of the left precentral gyrus and left superior frontal gyrus were affected differently in the two disorders. Concentrations of C1q, C4, factor B, factor H, and properdin were higher in both patient groups than in controls, while concentrations of C3, C4 and factor H were significantly higher in BD than in MDD. Concentrations of C1q, factor H, and properdin showed a significant negative correlation with GMV in the mOFC at the voxel-wise level.ConclusionsBD and MDD are associated with shared and different alterations in levels of complement factors and structural impairment in the brain. Structural defects in mOFC may be associated with elevated levels of certain complement factors, providing insight into the shared neuro-inflammatory pathogenesis of mood disorders.

Cognitive dysfunction is common but heterogeneous in patients with Major depressive disorder (MDD). This study aimed to validate MDD subtypes based on IQ trajectories and to elucidate their cognitive and multimodal neuroimaging characteristics. Premorbid IQ was estimated using a validated Wechsler Adult Intelligence Scale-based algorithm and compared to current IQ to classify patients. Neuropsychological assessments were conducted, and multimodal neuroimaging analyses included measurements of gray matter volume and low-frequency fluctuation amplitude. A total of 164 MDD patients with preserved IQ (PIQ), 67 MDD patients with deteriorated IQ (DIQ), and 353 healthy controls (HCs) participated in the study. The DIQ group exhibited poorer performance on logical memory and executive function tasks compared to the PIQ group. Patients with IQ decline exhibited greater cognitive impairment. Neuroimaging results revealed reduced gray matter volume and increased amplitude of low-frequency fluctuations, with distinct patterns observed between PIQ and DIQ groups. Using K-nearest neighbors (KNNs), we achieved an accuracy of 0.6442 and an area under the curve of 0.8023 for predicting cognitive changes. These findings confirm the cognitive heterogeneity in depression, highlighting the potential for personalized treatment strategies.

Background Childhood trauma is strongly linked to anxiety and depression, significantly increasing the risk of negative outcomes in adulthood. This study employed network analysis to investigate the complex interplay of anxiety and depression symptoms among Chinese college students, focusing on identifying the core symptoms most directly affected by childhood trauma and those exerting the greatest influence on others. Methods Data were collected from December 2020 to January 2021 from 2,266 college students at 16 institutions in southwestern and eastern coastal China. Depression, anxiety, and childhood trauma were assessed using the Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and Childhood Trauma Questionnaire-28, respectively. Separate symptom networks were constructed for participants with and without childhood trauma experiences. Central indices were employed to identify the central symptom within each network. The accuracy and stability of the networks were then evaluated. Finally, a network comparison test was used to analyze differences in network properties between the trauma and non-trauma groups. Results Loss of Energy and Worry too much were the central symptoms in the non-trauma group, while anhedonia and nervousness were the central symptoms in the trauma group. There was a significant difference in the global strength of the network between the trauma group and the non-trauma group ( p FDR < 0.01), but no significant difference in the distribution of edge weights between the two networks ( p FDR =0.14). Anhedonia, Suicide ideation and Feeling afraid in the trauma group showed increased network centrality compared with the non-trauma group. Conclusions This study demonstrates the profound impact of childhood trauma on the central symptoms of anxiety and depression in college students. Further research is warranted to investigate the specific pathways through which these symptoms develop, with the goal of developing targeted interventions for this vulnerable population. Clinical trial number Not applicable.

The risk of suicide in patients with major depressive disorder (MDD) poses a major concern, with studies suggesting that genetics may be a contributing factor. Although there are many transcriptomic studies on postmortem brain tissue related to suicidal behavior, the blood transcriptional mechanisms of suicidal ideation (SI) remain unknown. This study utilized a weighted gene coexpression network analysis (WGCNA) approach to investigate the associations between gene coexpression modules and SI in individuals with MDD using peripheral blood RNA-seq data from 75 MDD patients with SI (MDD_SI), 82 MDD patients without SI (MDD_nSI), and 149 healthy controls (HC). An ANCOVA was conducted to assess differences in gene coexpression modules among groups, with age and sex included as covariates. The gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) databases were used to annotate module functions. Results indicated that the magenta module (associated with RNA splicing processes) differentiated MDD_SI from MDD_nSI ( p  = 0.021), while the green module (related to immune and inflammatory responses) distinguished MDD_SI from HC ( p  = 0.004). Additionally, three modules showed differences between MDD_nSI and HC: magenta ( p  = 0.009), brown (related to innate immunity and mitochondrial metabolism; p  = 0.001), and turquoise (associated with energy metabolism and neurodegeneration; p  = 0.005). Our findings highlight that gene expression regulation, immune response, and inflammation may be linked to SI in patients with MDD, while pathways associated with innate immunity, energy metabolism, mitochondrial function, and neurodegeneration appear to be more broadly related to MDD.

Depression is usually accompanied with cognitive impairment and increases risk of incident dementia. However, evidence has been limited on the effect size of depression with cognitive impairment and their synergistic effect on future dementia. To explore this, we examined three large cross-country population-based prospective cohorts. Depressive symptoms were assessed by epidemiologic scale, while cognitive impairment was defined by subjective cognitive tests. Dementia was ascertained by self-reported physician-diagnosed conditions. Cox proportional hazard models were employed to determine the hazard ratio (HR) and 95% confidence interval (95% CI), with adjustments of potential confounding variables. Addictive and multiplicative interactions were calculated to evaluate the synergistic effect. A total of 64,706 participants were included at baseline (mean age: 63.9, female: 55.2%), where 4197 (6.5%) individuals had depressive symptoms only, 28,175 (43.5%) individuals had cognitive impairment only, 11,564 (17.9%) individuals had both, and 20,770 (32.1%) individuals had neither. Compared with the neither group, all the other three groups had higher risks of subsequent dementia (depression only: HR 1.65, 95% CI 1.26–2.17; cognitive impairment only: HR 2.71, 95% CI 2.33–3.14; depression with cognitive impairment: HR 3.51, 95% CI 2.95–4.17). There was insignificant additive (RERI, 0.15, 95% CI −0.45–0.75; AP, 0.042, 95% CI −0.13–0.21; SI, 1.06, 95% CI 0.83–1.37) and multiplicative (0.78, 95% CI 0.58–1.06) interaction between depression and cognitive impairment on subsequent dementia. We found depression with cognitive impairment has higher risks of dementia than either condition alone and no significant synergistic effect exists between these two factors.

Childhood trauma is strongly linked to emotional distress. However, few studies have explored the impact of sense of coherence (SOC) on the relationship between childhood trauma and emotional distress in college students. This study aimed to explore its impact on the relationship between childhood trauma and emotional distress. Analyzing data from 2307 Chinese college students, we found that SOC moderated the association between childhood trauma and anxiety/depression levels. Females showed higher SOC and lower anxiety/depression despite experiencing more childhood trauma. Multiple linear regression revealed that anxiety was negatively associated with SOC( P  < 0.001) and grade( P  = 0.027), and positively with childhood trauma( P  < 0.001) and male gender( P  = 0.004). Similarly, the depression exhibited similar associations. SOC moderated negatively the relationship between CTQ and anxiety, as well as between CTQ and depression. Childhood trauma is associated with increased emotional distress risk among college students, but a strong SOC can reduce this risk.

Background Neurocognitive impairment is one of the prominent manifestations of major depressive disorder (MDD). Childhood trauma enhances vulnerability to developing MDD and contributes to neurocognitive dysfunctions. However, the distinct impacts of different types of childhood trauma on neurocognitive processes in MDD remain unclear. Methods This study comprised 186 individuals diagnosed with MDD and 268 healthy controls. Childhood trauma was evaluated using the 28-item Childhood Trauma Questionnaire-Short Form. Neurocognitive abilities, encompassing sustained attention, vigilance, visual memory, and executive functioning, were measured by the Cambridge Neuropsychological Testing Automated Battery. Results Multivariable linear regressions revealed that childhood trauma and MDD diagnosis were independently associated with neurocognitive impairment. Physical neglect was associated with impaired visual memory and working memory. MDD diagnosis is associated with working memory and planning. Interactive analysis revealed that physical/sexual abuse was associated with a high level of vigilance and that emotional neglect was linked with better performance on cognitive flexibility in MDD patients. Furthermore, childhood emotional abuse, physical abuse, and emotional neglect were revealed to be risk factors for developing early-onset, chronic depressive episodes. Conclusion Thus, specific associations between various childhood traumas and cognitive development in depression are complex phenomena that need further study.

Major depression disorder (MDD) was associated with inflammatory processes, but association results of inflammatory syndrome and MDD were inconsistent. To provide more evidence, we measured the plasma levels of IL-1β, IL-6, interferon (INT)-α2, INT-γ, and tumor necrosis factor (TNF)-α in patients having MDD and explored correlations between the five proinflammatory cytokines and specific depressive symptoms. Plasma concentrations of IL-1β, IL-6, INT-α2, INT-γ, and TNF-α were measured using ELISA for 44 MDD patients and 54 healthy controls. Patients with MDD were assessed on the 17-item Hamilton Depression Rating Scale (HAMD-17), and a total score and five syndrome scores were acquired. IL-6 levels in depressed patients were significantly elevated than in healthy controls, but no significant differences were observed in the levels of INF-α2, INF-γ, IL-1β, or TNF-α. In addition, correlation analysis revealed that sleep disturbances positively correlated with IL-6. Although there was no significant difference between the two groups in the levels of INF-α2, a significant positive correlation between IFN-α2 and retardation was observed. Elevated IL-6 levels were observed in MDD patients and IL-6 may correlate with sleep disturbances.