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Alterations in the default mode network (DMN) have been reported in major depressive disorder (MDD), well-replicated robust alterations of functional connectivity (FC) of DMN remain to be established. Investigating the functional connections of DMN at the overall and subsystem level in early MDD patients has the potential to advance our understanding of the physiopathology of this disorder. We recruited 115 first-episode drug-naïve patients with MDD and 137 demographic-matched healthy controls (HCs). We first compared FC within the DMN, within/between the DMN subsystems, and from DMN subsystems to the whole brain between groups. Subsequently, we explored correlations between clinical features and identified alterations in FC. First-episode drug-naïve patients with MDD showed significantly increased FC within the DMN, dorsal DMN and medial DMN. Each subsystem showed a distinct FC pattern with other brain networks. Increased FC between the subsystems (core DMN, dorsal DMN) and other networks was associated with more severe depressive symptoms, while medial DMN-related connectivity correlated with memory performance. The relatively large "pure" MDD sample could only be generalized to a limited population. And, atypical asymmetric FCs in the DMN related to MDD might be missed for only left-lateralized ROIs were used to avoid strong correlations between mirrored (right/left) seed regions. These findings suggest patients with early MDD showed distinct patterns of FC alterations throughout DMN and its subsystems, which were related to illness severity and illness-associated cognitive impairment, highlighting their clinical significance. • Default mode network (DMN) connectivity disruption may underline the pathology of MDD. • Functional alterations of DMN occurring at both the overall and the subsystem level in MDD. • Different FC patterns of DMN subsystems may be a possible source of heterogeneity among previous FC analyses in MDD. [ABSTRACT FROM AUTHOR]

Post-traumatic stress disorder (PTSD) and major depressive disorder (MDD) are psychiatric disorders that can present with overlapping symptoms and shared risk factors. However, the extent to which these disorders share common underlying neuropathological mechanisms remains unclear. To investigate the similarities and differences in task-evoked brain activation patterns between patients with PTSD and MDD. A coordinate-based meta-analysis was conducted across 35 PTSD studies (564 patients and 543 healthy controls) and 125 MDD studies (4049 patients and 4170 healthy controls) using anisotropic effect-size signed differential mapping software. Both PTSD and MDD patients exhibited increased neural activation in the bilateral inferior frontal gyrus. However, PTSD patients showed increased neural activation in the right insula, left supplementary motor area extending to median cingulate gyrus and superior frontal gyrus (SFG), and left fusiform gyrus, and decreased neural activation in the right posterior cingulate gyrus, right middle temporal gyrus, right paracentral lobule, and right inferior parietal gyrus relative to MDD patients. Our meta-analysis suggests that PTSD and MDD share some similar patterns of brain activation, but also have distinct neural signatures. These findings contribute to our understanding of the potential neuropathology underlying these disorders and may inform the development of more targeted and effective treatment and intervention strategies. Moreover, these results may provide useful neuroimaging targets for the differential diagnosis of MDD and PTSD. • A first meta-analysis to investigate the common and distinct neural activation patterns of patients with MDD and PTSD • Common and distinct neural activation patterns in patients with MDD and PTSD were found. • Potential neuroimaging targets for the diagnosis and differentiation of PTSD and MDD were found. [ABSTRACT FROM AUTHOR]

The Patient Health Questionnaire (PHQ-9) and Montgomery-Asberg Depression Rating Scale (MADRS) are commonly used scales to measure depression severity in older adults. We utilized data from the Optimizing Outcomes of Treatment-Resistant Depression in Older Adults (OPTIMUM) clinical trial to produce conversion tables relating PHQ-9 and MADRS total scores. We split the sample into training (N = 555) and validation samples (N = 187). Equipercentile linking was performed on the training sample to produce conversion tables for PHQ-9 and MADRS. We compared the original and estimated scores in the validation sample with Bland-Altman analysis. We compared the depression severity level using the original and estimated scores with Chi-square tests. The Bland-Altman analysis confirmed that differences between the original and estimated scores for at least 95 % of the sample fit within 1.96 standard deviations of the mean difference. Chi-square tests showed a significant difference in the proportion of participants at each depression severity category determined using the original and estimated scores. The conversion tables should be used with caution when comparing depression severity at the individual level. Our conversion tables relating PHQ-9 and MADRS scores can be used to compare treatment outcomes using aggregate data in studies that only used one of these scales. • Equipercentile linking was used to produce conversion tables for PHQ-9 and MADRS. • Total scores can be compared using the conversion table for aggregate data. • Comparing total scores between individuals should be done with caution. [ABSTRACT FROM AUTHOR]

The relationship between atherosclerotic burden, depressive symptoms, and clinically relevant depression (CRD) in hypertensive patients is unclear. In this study, we used the atherosclerotic index of plasma (AIP) to quantify atherosclerotic burden and explore its association with depressive symptoms and CRD in hypertensive patients. Hypertension-diagnosed patients were extracted from the National Health and Nutrition Examination Survey (NHANES) database. The relationships between AIP and depressive symptoms and CRD risk in patients were examined through the weighted logistic regression and the weighted linear regression models. Restrictive cubic spline curves were employed to analyze potential nonlinear associations between AIP and outcome indicators. Additionally, subgroup analyses and intergroup interaction tests were conducted. The AIP was considerably associated with the severity of depressive symptoms in hypertensive patients, according to the findings of weighted linear regression. Weighted logistic regression analysis showed that high AIP was significantly associated with a high risk of clinically relevant depression in hypertensive patients. This trend was consistent across various subgroups within the population. AIP was observed to be a significant risk factor for clinically relevant depression in hypertensive patients. Atherosclerotic burden in hypertensive patients was significantly associated with the severity of their depressive symptoms. • The atherosclerotic index of plasma (AIP) is a recently discovered indicator of atherosclerotic burden that is easy and quick to obtain. • AIP was significantly and positively correlated with depressive symptom severity (PHQ-9 score). • AIP significantly increased the risk of clinically relevant depression (PHQ-9 score >= 10). • The study population was those diagnosed with hypertension in the NHANES database. We analyzed using complex sampling-based analyses. The results are nationally representative. [ABSTRACT FROM AUTHOR]

Pregnancy loss is arguably a traumatic and stressful life event that potentially impacts the emotional and behavioral health of those who experience it, especially adolescents. Research assessing this relationship has primarily focused on adult women populations. Using data from National Longitudinal Study of Adolescent to Adult Health, a cross-sectional research design was employed to investigate whether pregnancy loss outcomes are associated with depressive mood and suicidal behavior (i.e., suicidal thoughts and suicide attempt) among adolescent girls (N = 6, 913). We also investigated the mediating effect of depressive mood. Initially, an all-encompassing pregnancy loss variable was used, which included abortions and miscarriages. Acknowledging the differences between these pregnancy loss outcomes, we created separate measures for each. Using the all-encompassing pregnancy loss variable, findings from logistic regression analyses showed that pregnancy loss is positively and significantly associated with depressive mood and suicidal behaviors. Depressive mood mediated the relationship between pregnancy loss and suicidal behaviors. Miscarriage was positively and significantly associated with suicidal thoughts as well as attempting suicide. Depressive mood mediated the relationship between miscarriage and suicidal thoughts, while only partially mediating the relationship between miscarriage and suicide attempt. No significant effects were observed for abortion on outcomes of interest. Cross-sectional analyses were performed limiting our ability to make casual inferences. Pregnancy loss is associated with depressive mood and suicidal behavior, especially among adolescent girls who experience a miscarriage. Adolescent pregnancy and pregnancy loss should remain a focus of scholars and health professionals. • Pregnancy loss is associated with depressive mood and suicidal behavior. • Miscarriage is associated with depressive mood and suicidal behavior. • Depressive mood plays an important role among girls who experience pregnancy loss. • Abortion was not associated with negative emotional or suicidal outcomes. [ABSTRACT FROM AUTHOR]

This study investigated sex differences in the age-varying trends of depressive symptoms, substance use, and their relationships throughout the adult lifespan. Using a nationwide sample from South Korea, this study aimed to confirm existing patterns and identify unique characteristics specific to the South Korean context. Time-Varying Effect Modeling (TVEM) was applied to data from 17,484 participants (9987 women and 7497 men) in the Korea National Health and Nutrition Examination Survey. Consistent with global trends, the results revealed a higher prevalence of depressive symptoms among women and a greater prevalence of substance use among men. However, the findings also illuminated unique patterns within the South Korean context. Substance use among South Korean men peaked during their 40s, whereas South Korean women consistently exhibited lower rates of substance use. Additionally, a stronger association between depressive symptoms and substance use was identified in women compared to men. The study used cross-sectional data, limiting the analysis of temporal dynamics between depressive symptoms and substance use. Additionally, TVEM cannot distinguish between aging and cohort effects. Furthermore, the assessments of depressive symptoms and substance use were based on self-report. Finally, the study did not include adolescents or sex and gender minorities in its sample. These results emphasize the need for targeted interventions, particularly among women in their 20s and older adulthood, where there is a heightened co-occurrence of depressive symptoms and substance use. These findings also highlight the importance of sex- and culture-sensitive approaches tailored to the South Korean context. • Depressive symptoms were more prevalent among South Korean women. • Substance use was more prevalent among South Korean men. • A stronger association was observed in South Korean women. [ABSTRACT FROM AUTHOR]

Postpartum Depression (PPD) exerts a substantial negative effect on maternal well-being post-delivery, particularly among Cesarean Section (C/S) recipients. In this study, we aimed to review the efficacy of perioperative esketamine, the S-enantiomer of ketamine, in preventing PPD incidence and depressive symptoms as measured with the Edinburgh Postnatal Depression Scale (EPDS) after C/S. A systematic search for relevant articles was conducted in Scopus, PubMed, Web of Sciences, and PsycINFO until April 6, 2024. Meta-analyses were conducted using random-effect models to compare the PPD incidence and EPDS scores via log odds ratio and Hedge's g, respectively, during the first week post-C/S and at 42 days post-C/S in the esketamine and control group. Fourteen studies, including 12 randomized controlled trials and 2 retrospective cohorts, were reviewed. Our meta-analyses found lower PPD incidence during the first week (log odds ratio: −0.956 [95 % confidence interval: −1.420, −0.491]) and at day 42 post-C/S (log odds ratio: −0.989 [95 % confidence interval: −1.707, −0.272]) among patients administered esketamine compared to controls. Additionally, EPDS scores for the esketamine group were significantly lower than controls during the first week (Hedge's g: −0.682 [95 % confidence interval: −1.088, −0.276]) and at day 42 post-C/S (Hedge's g: −0.614 [95 % confidence interval: −1.098, −0.129]). Presence of various concomitant medications and heterogeneous study designs. Our review highlights the potential impact of esketamine in PPD prevention, as well as in alleviating depressive symptoms post-C/S, regardless of PPD occurrence, therefore suggesting the benefits of adding esketamine to peri-C/S analgesic regimen. • Perioperative esketamine administration can reduce PPD incidence following C/S. • Esketamine can also reduce the severity of depressive symptoms post-C/S. • These favorable effects were observed at both short- and long-term assessments. • Limited number of analyzed studies may reduce our findings' generalizability. • More research on esketamine's preventive effects on PPD is essential. [ABSTRACT FROM AUTHOR]

Pathological changes, such as microglia activation in the hippocampus frequently occur in individuals with animal models of depression; however, they may share a common cellular mechanism, such as endoplasmic reticulum (ER) stress and mitochondrial dysfunction. Mitochondria associated membranes (MAMs) are communication platforms between ER and mitochondria. This study aimed to investigate the role of intracellular stress responses, especially structural and functional changes of MAMs in depression. We used chronic social defeat stress (CSDS) to mimic depression in C57 mice to investigate the pathophysiological changes in the hippocampus associated with depression and assess the antidepressant effect of electroacupuncture (EA). Molecular, histological, and electron microscopic techniques were utilized to study intracellular stress responses, including the ER stress pathway reaction, mitochondrial damage, and structural and functional changes in MAMs in the hippocampus after CSDS. Proteomics technology was employed to explore protein-level changes in MAMs caused by CSDS. CSDS caused mitochondrial dysfunction, ER stress, closer contact between ER and mitochondria, and enrichment of functional protein clusters at MAMs in hippocampus along with depressive-like behaviors. Also, EA showed beneficial effects on intracellular stress responses and depressive-like behaviors in CSDS mice. The cellular specificity of MAMs related protein changes in CSDS mice was not explored. In the hippocampus, ER stress and mitochondrial damage occur, along with enriched mitochondria-ER interactions and MAM-related protein enrichment, which may contribute to depression's pathophysiology. EA may improve depression by regulating intracellular stress responses. [Display omitted] • CSDS causes mitochondrial dysfunction, ER stress, and MAM protein enrichment along with depression-like behaviors. • An ER stress inhibitor and a mitochondrial protective agent improve depressive-like behaviors. • EA has antidepressant effects and can improve the structural and functional changes in MAMs caused by CSDS. [ABSTRACT FROM AUTHOR]

Perinatal depression is a global public health problem that seriously affects the health of perinatal women. This study evaluated the pooled uptake rate of interventions among women who screened positive for perinatal depression to provide a basis for clinical intervention. We systematically searched four databases (PubMed, Embase, Cochrane Library and Web of Science) from the establishment of the database to May 1, 2023. All included studies were used to derive the pooled uptake rate. We also performed meta-regression and subgroup analysis to explore the potential sources of heterogeneity using STATA 17.0. Of 15024 retrieved articles, only 41 met the inclusion criteria. The overall uptake rate was 55 % (95 % CI 43–67 %). Meta-regression and subgroup analyses both showed that the uptake rate in high-income countries 57 % (95 % CI 50–65 %) was higher than that in low and middle-income countries 37 % (95 % CI 18–56 %). First, only English publications were included. Therefore, articles in other languages were likely missed. Second, of the 41 studies included, there were only six randomized controlled trials, with limited quality of evidence. Third, we could not adequately explain the source of heterogeneity because there were too many mediating variables, although further subgroup and sensitivity analysis were performed. About a half of women did not receive interventions after screening positive, and the uptake rate of interventions in high-income countries was higher than that in low and middle-income countries. • About a half of women did not receive interventions after screening positive. • The uptake rate of interventions in high-income countries was higher. • The longer the intervention frequency and cycle, the higher the sample size dropout rate. • The uptake rate of online interventions was higher. [ABSTRACT FROM AUTHOR]

Sympathetic and blood pressure (BP) hyper-reactivity to stress may contribute to increased cardiovascular disease (CVD) risk in adults with major depressive disorder (MDD); however, whether this is evident in young adults with MDD without comorbid disease remains unclear. We hypothesized that acute stress-induced increases in muscle sympathetic nerve activity (MSNA) and BP would be exaggerated in young adults with MDD compared to healthy non-depressed young adults (HA) and that, in adults with MDD, greater symptom severity would be positively related to MSNA and BP reactivity. In 28 HA (17 female) and 39 young adults with MDD of mild-to-moderate severity (unmedicated; 31 female), MSNA (microneurography) and beat-to-beat BP (finger photoplethysmography) were measured at rest and during the cold pressor test (CPT) and Stroop color word test (SCWT). There were no group differences in resting MSNA (p = 0.24). Neither MSNA nor BP reactivity to either the CPT [MSNA: ∆24 ± 10 HA vs. ∆21 ± 11 bursts/min MDD, p = 0.67; mean arterial pressure (MAP): ∆22 ± 7 HA vs. ∆21 ± 10 mmHg MDD, p = 0.46)] or the SCWT (MSNA: ∆-4 ± 6 HA vs. ∆-5 ± 8 bursts/min MDD, p = 0.99; MAP: ∆7 ± 8 HA vs ∆9 ± 5 mmHg MDD; p = 0.82) were different between groups. In adults with MDD, symptom severity predicted MAP reactivity to the CPT (β = 0.78, SE = 0.26, p = 0.006), but not MSNA (p = 0.42). The mild-to-moderate symptom severity reflects only part of the MDD spectrum. Neither sympathetic nor BP stress reactivity are exaggerated in young adults with MDD; however, greater symptom severity may amplify BP reactivity to stress, thereby increasing CVD risk. • Greater blood pressure (BP) reactivity to stress predicts cardiovascular risk. • BP reactivity to stress is not exaggerated in young adults with depression. • Symptom severity predicted BP reactivity to stress in young adults with depression. [ABSTRACT FROM AUTHOR]

Repetitive transcranial magnetic stimulation (rTMS) is a rapidly emerging treatment for depression, but outcome prediction is still a challenge. This study aimed to identify predictors of response to rTMS among baseline clinical factors and early symptomatic improvements. This cohort study comprised 136 patients with a unipolar or bipolar depressive episode referred for clinical intermittent theta-burst stimulation or right-sided 1 Hz rTMS at the Uppsala Brain Stimulation Unit. The co-primary outcomes used for logistic regression were response, defined as ≥50 % reduction of Montgomery and Åsberg Depression Rating Scale Self-assessment (MADRS-S) total score, and 1–2 points on the Clinical Global Impression Improvement (CGI-I) scale. Early improvement was defined as ≥20 % reduction in the MADRS-S total score, or ≥ 1 point reduction in each MADRS-S item, after two weeks of treatment. The response rates were 21 % for MADRS-S and 45 % for CGI-I. A depressive episode >24 months had lower odds for MADRS-S response compared to ≤12 months. Early improvement of the MADRS-S total score predicted CGI-I response (95 % CI = 1.35–9.47, p = 0.011), Initiative 6 predicted MADRS-S response (95 % CI = 1.08–9.05, p = 0.035), and Emotional involvement 7 predicted CGI-I response (95 % CI = 1.03–8.66, p = 0.044). No adjustment for concurrent medication. A depressive episode ≤12 months and early improvement in overall depressive symptoms, as well as the individual items, Initiative 6 and Emotional involvement 7 , predicted subsequent rTMS response in a naturalistic sample of depressed patients. This could facilitate the early identification of patients who will benefit from further rTMS sessions. • rTMS response rates are higher when rated by clinicians than patients (45 % vs 21 %). • The duration of a depressive episode is a predictor of patient rated rTMS response. • Early improvement in overall depressive symptoms predicts rTMS response. • Early improvement in initiative predicts patient rated rTMS response. • Early improvement in emotional involvement predicts clinician rated rTMS response. [ABSTRACT FROM AUTHOR]

Oral health influences the quality of life of older adults. Further, depression is negatively associated with oral health. However, little is known about this relationship among older adults with chronic health conditions. Additionally, since oral health and depression differ between genders, this study aimed to investigate the effect of transitions in depressive symptoms on oral health among older adults with chronic health conditions by gender. We used data from the Korean Longitudinal Study of Aging (2020−2022). The study sample comprised 2836 older adults (1104 men; 1732 women). We adopted multiple linear regression to examine the association between depressive symptom transitions and oral health by gender. The new onset depression symptoms were significantly associated with the deterioration of oral health in men (β = −5.4308) and women (β = −4.8328). Our study showed a gender-specific association between new onset depressive symptoms and particular domains of oral health. For men, the association was slightly more negative in psychosocial function (β = −2.1177) while women presented lower GOHAI scores in both the physical function domain (β = −1.8800) and the psychosocial function domain (β = −1.8801). The data used in this study were self-reported via a survey; thus, self-report bias may be a relevant concern. To prevent deterioration in oral health, depressive symptoms must be detected and addressed early among older adults with chronic conditions. This study underscores the importance of interventions that consider gender differences in the association between depressive symptoms and psychosocial and physical functioning. • Depressive symptoms and oral health in older adults with chronic conditions are related. • New-onset depressive symptoms and persistence of depressive symptoms are associated with poorer oral health in both genders. • New-onset depressive symptoms related to poorer psychosocial function among men • New-onset depressive symptoms related to poorer psychosocial and physical function among women [ABSTRACT FROM AUTHOR]

Brain-derived neurotrophic factor (BDNF) is crucial for neuronal survival and may be implicated in the pathophysiological process of depression. This study aimed to prospectively investigate the association between serum BDNF and post-stroke depression (PSD) at 3 months in a multicenter cohort study. A total of 611 ischemic stroke patients with serum BDNF measurements from the China Antihypertensive Trial in Acute Ischemic Stroke were included in this analysis. We used the 24-item Hamilton Depression Rating Scale to assess depression status at 3 months after ischemic stroke, and PSD was defined as a score of ≥8. Baseline serum BDNF was inversely associated with the risk of depression after ischemic stroke. The multivariable-adjusted odds ratio of PSD for the highest tertile of BDNF was 0.53 (95 % confidence interval, 0.34–0.82; P for trend = 0.004) compared with the lowest tertile. Multivariable-adjusted spline regression model also showed a linear does-response association between serum BDNF levels and PSD at 3 months (P for linearity = 0.006). In addition, adding serum BDNF to conventional risk factors significantly improved the risk reclassification of PSD (net reclassification improvement: 16.98 %, P = 0.039; integrated discrimination index: 0.93 %, P = 0.026). All patients in this study were Chinese, so our findings should be applied to other populations cautiously. Higher serum BDNF levels at baseline were significantly associated with a decreased risk of PSD at 3 months, suggesting that BDNF might be a valuable predictive biomarker and potential therapeutic target for PSD among ischemic stroke patients. • High serum BDNF levels were associated with a decreased risk of 3-month PSD. • There was an inverse linear dose-response association between BDNF and 3-month PSD. • Adding BDNF to conventional risk factors improved the risk reclassification for PSD. [ABSTRACT FROM AUTHOR]

Higher functional connectivity within the default mode network (DMN) has been found in functional magnetic resonance imaging (fMRI) studies of major depressive disorder (MDD). We used electroencephalogram (EEG) coherence as an index of functional connectivity to examine group differences in DMN between the MDD and healthy control (HC) groups during the resting state. MDD patients with comorbid anxiety symptoms (n = 154) and healthy controls (n = 165) completed the questionnaires of depression, anxiety, and rumination. A 19-channel EEG recording was measured under resting state for all participants. EEG coherences of the delta, theta, alpha, beta, and high beta in the anterior DMN (aDMN), posterior DMN (pDMN), aDMN-pDMN, DMN-parahippocampal gyrus (PHG), and DMN-temporal gyrus were compared between the two groups. The correlations between rumination, anxiety, and DMN coherence were examined in the MDD group. (1) No difference was found in the delta, theta, alpha, and beta within the DMN brain regions between the two groups; the MDD group showed higher high beta coherence within DMN brain regions than the HC group. (2) Rumination was negatively correlated with theta coherence of aDMN, and positively correlated with beta coherence of aDMN and with alpha coherence of pDMN and DMN-PHG. (3) Anxiety was positively correlated with high beta coherence of aDMN, pDMN, and DMN-PHG. MDD patients with comorbid anxiety symptoms exhibited hypercoherence within the DMN brain regions. Hypercoherences were related to symptoms of rumination, and anxiety may be a biomarker for MDD patients with comorbid anxiety symptoms. • Depression had higher high beta coherences within default mode network (DMN). • Rumination was positively correlated with alpha coherence of posterior DMN. • Anxiety was positively correlated with high beta coherence of posterior DMN. [ABSTRACT FROM AUTHOR]

Compared to monetary rewards, depressive symptoms are specifically associated with abnormal social reward processing. In addition, individuals with melancholic depression may exhibit more significant reward-related impairments. However, there is still limited understanding of the specific alterations in social reward processing in individuals with melancholic depression. Forty patients with melancholic major depressive disorder (MDD), forty patients with non-melancholic MDD, and fifty healthy controls participated in the social incentive delay (SID) tasks with event-related potential (ERP) recording. We measured one anticipatory ERP(cue-N2) and two consummatory ERPs (FRN, fb-P3). Furthermore, we examined correlation between FRN and consummatory anhedonia. Melancholic MDD patients showed less anticipation of social rewards (cue-N2). Concurrently, melancholic individuals demonstrated diminished reception of social rewards, as evidenced by reduced amplitudes of FRN. Notably, the group x condition interaction effect on FRN was significant (F (2, 127) = 4.15, p = 0.018, η 2 ρ = 0.061). Melancholic MDD patients had similar neural responses to both gain and neutral feedback (blunted reward positivity), whereas non-melancholic MDD patients (t (39) = 3.09, p = 0.004) and healthy participants (t (49) = 5.25, p < 0.001) had smaller FRN amplitudes when receiving gain feedback relative to neutral feedback. In addition, there was a significant correlation between FRN and consummatory anhedonia in MDD patients. Our findings indicated that individuals with melancholic MDD exhibit attenuated neural responses to both anticipated and consumed social rewards. This suggests that aberrant processing of social rewards could serve as a potential biomarker for melancholic MDD. • The blunt neural response to social reward is more special to melancholic MDD. • The aberrant social reward processing in melancholic MDD includes both reward anticipation and reward consummation. • The blunt social reward could serve as a biomarker for melancholic subtype. [ABSTRACT FROM AUTHOR]

This study underscores the importance of exploring AI's creative applications in treating depressive disorders to revolutionize mental health care. Through innovative integration of AI technologies, the research confirms their positive effects on preventing, diagnosing, and treating depression. The systematic review establishes an evidence base for AI in depression management, offering directions for effective interventions. This systematic literature review investigates the effectiveness of AI in depression management by analyzing studies from January 1, 2017, to May 31, 2022. Utilizing search engines like IEEE Xplore, PubMed, and Web of Science, the review focused on keywords such as Depression/Mental Health, Machine Learning/Artificial Intelligence, and Prediction/Diagnosis. The analysis of 95 documents involved classification based on use, data type, and algorithm type. The study revealed that AI in depression management excelled in accuracy, particularly in monitoring and prediction. Biomarker-derived data demonstrated the highest accuracy, with the CNN algorithm proving most effective. The findings affirm the therapeutic benefits of AI, including treatment, detection, and disease prediction, highlighting its potential in analyzing monitored data for depression management. This study exclusively examined the application of AI in individuals with depressive disorders. Interpretation should be cautious due to the limited scope of subjects to this specific population. To introduce digital healthcare and therapies for ongoing depression management, it's crucial to present empirical evidence on the medical fee payment system, safety, and efficacy. These findings support enhanced medical accessibility through digital healthcare, offering personalized disease management for patients seeking non-face-to-face treatment. • Many people with depression suffer from physical symptoms such as headaches and insomnia, which often prevent them from receiving timely treatment. • Recently, the use of artificial intelligence (AI) for the treatment and management of depression has been gaining momentum as a potential solution to this problem. • Through these various comparative analyzes such as comparative analysis by prediction, comparative analysis by data, and comparative analysis by algorithm, it is possible to identify the strengths and weaknesses of artificial intelligence technology used in the treatment of depressive disorders in providing accuracy • This baseline data will help create a system essential for advancing digital healthcare and therapeutics to better prevent,diagnose, and treat depressive disorders. [ABSTRACT FROM AUTHOR]

Depressive symptoms (DS) have become a global public health problem. However, a risk prediction model for DS in the elderly population has not been established. The purpose of this study was to develop and validate a predictive nomogram to screen for DS in the elderly population. A cross-sectional data of 3396 participants aged 60 and over were obtained from the China Health and Retirement Longitudinal Study 2018 (CHARLS). Participants were divided into the development and validation set. Predictive factors were selected through a single-factor analysis, and then a predictive model nomogram was established. The discrimination, calibration, and clinical validity were evaluated using the receiver operating characteristic (ROC) curves, Hosmer-Lemeshow tests, and decision curve analyses (DCA). A total of 2379 and 1017 participants were included in the development and validation set, respectively. The analysis found that gender, residence, dyslipidemia, self-rated health, and ADL disability were risk factors for DS in older adults, and were included in the final model. This nomogram showed an acceptable predictive performance as evaluated by the area under the ROC curve with values of 0.684 (95 % confidence interval (CI): 0.663–0.706) and 0.687 (95 % CI: 0.655–0.719) in the development and validation set, respectively. The calibration curve indicated that the model was accurate, and DCA demonstrated a good clinical application value. Five factors were selected to establish a nomogram for predicting DS in older adults. The nomogram has a good evaluation performance and can be used as a reliable tool to predict DS among older adults. • Developed and validated a predictive nomogram to screen for depressive symptoms in the elderly. • Identified gender, residence, dyslipidemia, self-rated health, and ADL disability as risk factors. • Model demonstrated accuracy through calibration curves and good clinical application value. • Provides a tool for quick identification of at-risk elderly, aiding targeted interventions. • Significant practical value in areas with limited professional operators and resources. [ABSTRACT FROM AUTHOR]

Cerebral microvascular dysfunction is a promising area for research into the pathogenesis of major depressive disorder (MDD) and bipolar disorder (BD). Despite the scientific and clinical potential of studying microvascular dysfunction, progress in this area has long been hampered by the lack of methods to study microvessels intravitally. The aim of the present study was to search for potential optical coherence tomography (OCT) and OCT-angiography (OCTA) biomarkers of BD and MDD. One hundred and five consecutive patients with a current depressive episode were enrolled in the study (39 – BD and 66 – MDD). In addition, forty-one generally healthy subjects were enrolled as a control group. Only the right eye was examined in all subjects. Structural OCT and OCTA scans with signal strength ≥7 were included. Structural OCT measurements showed no significant differences between the groups. OCTA measurements of foveal avascular zone (FAZ), area and skeleton density showed a decrease in the retinal capillary bed in BD patients, whereas OCTA values in MDD patients did not differ from the control group. Several significant differences were found between the BD and control groups. In the BD group, the FAZ of the deep capillary plexus was increased, reflecting a reduction in capillary perfusion in the central subfield of this plexus. OCTA measurements of FAZ, area and skeleton density showed a decrease in the retinal capillary bed in BD patients, whereas OCTA values in MDD patients did not differ from the control group. • Characteristics of the retina may be potential biomarkers for mood disorders • Optical coherence tomography angiography (OCTA) provides in vivo imaging of the retinal vasculature • Bipolar disorder is associated with reduced foveal avascular zone area and skeletal density in the retinal capillary bed [ABSTRACT FROM AUTHOR]

We aimed to examine whether positive and negative coping styles mediated the influences of childhood trauma on NSSI or depressive severity in adolescents with major depressive disorder (MDD). The Children's Depression Inventory (CDI), the Ottawa Self-Injury Inventory Chinese Revised Edition (OSIC), the short-form Childhood Trauma Questionnaire (CTQ-SF), and the Simplified Coping Style Questionnaire (SCSQ) were evaluated in 313 adolescents with MDD. MDD adolescents with NSSI had higher CTQ-SF total score, emotional and sexual abuse subscale scores, but lower CDI total and subscale scores compared to the patients without NSSI. The multiple linear regression analysis revealed that emotional abuse (β = 0.075, 95 % CI: 0.042–0.107) and ineffectiveness (β = −0.084, 95 % CI: −0.160 ∼ −0.009) were significantly associated with the frequency of NSSI in adolescents with MDD, but emotional abuse (β = 0.884, 95 % CI: 0.570–1.197), sexual abuse (β = 0.825, 95 % CI: 0.527–1.124) and negative coping style (β = 0.370, 95 % CI: 0.036–0.704) were independently associated with the depressive severity in these adolescents. Furthermore, the mediation analysis demonstrated that positive coping style partially mediates the effect of childhood trauma on NSSI (Indirect effect = 0.002, 95 % bootCI: 0.001–0.004), while the negative coping style partially mediates the relationship between childhood trauma and depressive severity (Indirect effect = 0.024, 95 % bootCI: 0.005–0.051) in adolescents with MDD. A cross-sectional design, the retrospective self-reported data, the small sample size. Our findings suggest that coping styles may serve as mediators on the path from childhood trauma to NSSI or depressive severity in MDD adolescents. • Adolescent depressive patients with nonsuicidal self-injury (NSSI) had higher level of childhood maltreatment compared to patients without. • Childhood maltreatment is positively correlated to the NSSI and depressive severity in adolescents with major depressive disorder. • The coping style can mediate the effect of childhood trauma on NSSI and depressive severity in depressive adolescents. [ABSTRACT FROM AUTHOR]

The use of virtual reality (VR)-based biofeedback (BF), a relatively new intervention, is a non-pharmacological treatment of depressive and anxiety symptoms. However, studies on VR-based BF are lacking and inconclusive. A total of 131 adults were recruited from the community. Participants who scored ≥10 on the Patient Health Questionnaire-9 (PHQ-9) or ≥9 on the Panic Disorder Severity Scale (PDSS) were included in the group with depressive or anxiety symptoms (DAS group), and others as the healthy control group (HC group). Participants from the DAS group were randomly assigned to VR-based or conventional BF intervention. All individuals visited at three times (weeks 0, 2, and 4), and completed the Montgomery-Asberg Depression Rating Scale (MADRS), the State-Trait Anxiety Inventory (STAI), and a visual analog scale (VAS) before and after the intervention, and PHQ-9 at the beginning and final visit. The analysis included a total of 118 participants (DAS/VR: 40, DAS/BF: 38, HC/VR: 40). There was no significant difference in demographic variables among the three groups. After the intervention, the DAS/VR group exhibited significant decreases in MADRS (70.0 %), PHQ-9 (64.1 %), STAI (29.5 %), and VAS (61.7 %) scores compared to the baseline (p <0.001). There were no significant differences between the effects of VR-based BF and conventional BF with a therapist. The HC group also showed significant decreases in the measures of depression and anxiety after receiving VR-based BF. VR-based BF was effective in reducing depressive and anxiety symptoms, even for subthreshold depression and anxiety symptoms in the HC group. • Our study revealed that VR-based Biofeedback (BF) was effective in adults with depressive and anxiety symptoms. • Depression and anxiety symptoms decreased after the intervention of VR-based BF compared to before. • Healthy subjects also demonstrated significant decreases in depression and anxiety measures after receiving VR-based BF. • This finding suggests that VR-based BF seems to be a promising intervention for treating depression and anxiety symptoms. [ABSTRACT FROM AUTHOR]

Increasing evidence supports that depression including major depressive disorder (MDD) is associated with an increased risk of falls. However, some studies suggest no association between MDD and falls. Therefore, the specific causal relationship whereby MDD affects the risk of falls remains elusive, and the potential mediators are unclear. Summary-level data for MDD and falls were collected from the Genome-wide association studies (GWAS) in this study. Mendelian randomization (MR) and multivariable MR (MVMR) analyses were performed to evaluate the causal associations between MDD and falls. A Two-step MR analysis was employed to analyze the mediating effect of nonsteroidal anti-inflammatory drugs (NSAIDs) on the causal association between MDD and the risk of falls. Using the inverse-variance weighted (IVW) method, genetically predicted MDD was associated with an increased risk of falls (β = 0.15, SE = 0.034; P = 1.61E-5). MVMR and two-step MR analyses demonstrated that MDD was a causal determinant of increased falls independent of body mass index (BMI), smoking initiation, and alcohol consumption and that this causal relationship was mediated by NSAID medication. Extracted GWAS summary statistics are from European ancestry. Stratified analyses by sex and age were not included in our study. Therefore, it is unclear whether the results are the same for other ethnic groups, genders, and ages. Our results demonstrate that MDD is independently associated with an increased risk of falls, in which NSAIDs mediate the association. This study suggests that avoiding the use of NSAIDs may reduce the risk of falls in patients diagnosed with MDD. • Genetically predicted MDD has a causal effect on an increased risk of falls. • Genetically predicted MDD affects the fall risk independently of BMI, smoking initiation, and alcohol consumption. • The causal effect of genetically predicted MDD on falls is mediated by NSAIDs. • Avoiding taking NSAIDs may reduce the risk of falls in patients diagnosed with MDD. [ABSTRACT FROM AUTHOR]

Depression has emerged as a modifiable risk factor for cardiovascular disease (CVD). However, evidence on whether depressive symptoms measured using a self-report questionnaire are associated with CVD incidence is scarce. Therefore, we aimed to investigate the association between depressive symptoms and CVD risk using data from national health examinations and insurance claim records. This retrospective cohort study included participants who underwent the Korean National Screening Program for Transitional Ages at age 66 years between 2007 and 2017. The presence of depressive symptoms was defined as affirmative responses to any of three questions (loss of activities and interests, worthlessness, and hopelessness) selected from the Geriatric Depression Scale. Incident composite CVD event included myocardial infarction, stroke, heart failure, and CVD death. The association between depressive symptoms and CVD risk was evaluated using hazard ratios (HRs) and 95 % confidence intervals (CIs) estimated with Cox proportional hazards models. Among 88,765 participants (48.5 % women) aged 66 years, 4036 incident CVD events occurred during a mean follow-up of 6.8 years. Participants with depressive symptoms had a significantly higher risk of CVD than those without depressive symptoms (adjusted HR = 1.16 [95 % CI: 1.07–1.24]). The three individual depressive symptoms showed similar associations with CVD risk (loss of activities and interests, adjusted HR = 1.17 [95 % CI: 1.08–1.26]; worthlessness, 1.15 [1.03–1.29]; hopelessness, 1.13 [1.01–1.26]). The study was limited to participants aged 66 years. Despite extensive adjustment for potential confounders and multiple sensitivity analyses, residual confounding and reverse causality could not be ruled out. The presence of depressive symptoms was associated with an increased risk of CVD. Screening for depressive symptoms in the general population may effectively mitigate the burden of CVD. • In the homogeneous Korean population aged 66 years, 18.2 % had depressive symptoms. • Three depressive symptom items were associated with an increased CVD risk. • Adults with depressive symptoms had a 16 % higher CVD risk than others. [ABSTRACT FROM AUTHOR]

Elucidating biological mechanisms contributing to bipolar disorder (BD) is key to improved diagnosis and treatment development. With converging evidence implicating the metabotropic glutamate receptor 5 (mGlu5) in the pathology of BD, here, we therefore test the hypothesis that recently identified deficits in mGlu5 are associated with functional brain differences during emotion processing in BD. Positron emission tomography (PET) with [18F]FPEB was used to measure mGlu5 receptor availability and functional imaging (fMRI) was performed while participants completed an emotion processing task. Data were analyzed from 62 individuals (33 ± 12 years, 45 % female) who completed both PET and fMRI, including individuals with BD (n = 18), major depressive disorder (MDD: n = 20), and psychiatrically healthy comparisons (HC: n = 25). Consistent with some prior reports, the BD group displayed greater activation during fear processing relative to MDD and HC, notably in right lateralized frontal and parietal brain regions. In BD, (but not MDD or HC) lower prefrontal mGlu5 availability was associated with greater activation in bilateral pre/postcentral gyri and cuneus during fear processing. Furthermore, greater prefrontal mGlu5-related brain activity in BD was associated with difficulties in psychomotor function (r ≥ 0.904, p ≤ 0.005) and attention (r ≥ 0.809, p ≤ 0.028). The modest sample size is the primary limitation. Deficits in prefrontal mGlu5 in BD were linked to increased cortical activation during fear processing, which in turn was associated with impulsivity and attentional difficulties. These data further implicate an mGlu5-related mechanism unique to BD. More generally these data suggest integrating PET and fMRI can provide novel mechanistic insights. • Functional (fMRI) and molecular (PET) imaging performed in the same individuals with bipolar disorder (BD) and major depressive disorder (MDD). • Findings provide evidence of relationships between prefrontal mGlu5 and brain function during emotional processing that is unique to BD. • We propose a mechanism by which deficient prefrontal mGlu5 in BD contributes to alterations in clinically relevant brain function. • Understanding the role of mGlu5 in BD pathology could aid in the development of targeted, mechanistically informed treatments. [ABSTRACT FROM AUTHOR]

Our Mendelian randomization (MR) analysis focused on investigating the bidirectional relationships between major depressive disorder (MDD), anxiety and stress-related disorder (ASRD), and dental caries as well as periodontitis. We used summary statistics from two studies: an MDD genome-wide association study (GWAS) including 135,458 cases with 344,901 controls and a Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH) GWAS based on 12,655 ASRD individuals and 19,225 controls from Denmark. GWASs on dental caries and periodontitis were based on the Gene-Lifestyle Interactions in Dental Endpoints (GLIDE) consortium. We employed different MR approaches, such as inverse-variance weighted (IVW), MR–Egger, weighted median, and MR-PRESSO, to calculate causal effects. Single-variable MR analysis revealed that ASRD was potentially significantly associated with decayed, missing, and filled tooth surfaces (DMFS) (β = 0.056; 95 % CI: 0.009, 0.103; p = 0.018). Periodontitis was suggested to be causally related to increased ASRD risk (OR = 1.143, 95 % CI: 1.008, 1.298; p = 0.038). According to the multivariable MR analysis, no significant associations were detected between MDD and ASRD with dental caries and periodontitis, and vice versa. ASRD demonstrated a potential association with DMFS, and periodontitis was found to potentially impact ASRD according to single-variable MR analysis. Nevertheless, no significant associations were identified between MDD, ASRD, dental caries, or periodontitis after adjusting for smoking status and education level. Hence, more robust genetic instruments are required to validate and reinforce our findings. • The causal relationships between depression or stress-related disorders, dental caries, and periodontitis remain unclear. • SVMR analysis identified potential causal relationships between anxiety, stress-related disorders, and dental caries. • Potential causal effects of anxiety and stress-related disorders on periodontitis were observed in SVMR analysis. • Refining exposures and outcomes definitions to enhance the precision of identifying significant associations is warranted. [ABSTRACT FROM AUTHOR]

A critical challenge in the study and management of major depressive disorder (MDD) is predicting relapse. We examined the temporal correlation/coupling between depression and anxiety (called Depression-Anxiety Coupling Strength, DACS) as a predictor of relapse in patients with MDD. We followed 97 patients with remitted MDD for an average of 394 days. Patients completed weekly self-ratings of depression and anxiety symptoms using the Quick Inventory of Depressive Symptoms (QIDS-SR) and the Generalized Anxiety Disorder 7-item scale (GAD-7). Using these longitudinal ratings we computed DACS as random slopes in a linear mixed effects model reflecting individual-specific degree of correlation between depression and anxiety across time points. We then tested DACS as an independent variable in a Cox proportional hazards model to predict relapse. A total of 28 patients (29 %) relapsed during the follow-up period. DACS significantly predicted confirmed relapse (hazard ratio [HR] 1.5, 95 % CI [1.01, 2.22], p = 0.043; Concordance 0.79 [SE 0.04]). This effect was independent of baseline depressive or anxiety symptoms or their average levels over the follow-up period, and was identifiable more than one month before relapse onset. Small sample size, in a single study. Narrow phenotype and comorbidity profiles. DACS may offer opportunities for developing novel strategies for personalized monitoring, early detection, and intervention. Future studies should replicate our findings in larger, diverse patient populations, develop individual patient prediction models, and explore the underlying mechanisms that govern the relationship of DACS and relapse. • Predicting relapse in major depressive disorder is challenging. • We followed 97 patients with remitted MDD for an average of 394 days. • Depression-anxiety correlation independently predicted relapse risk. [ABSTRACT FROM AUTHOR]

To examine the association between cerebral artery stenosis and depressive symptoms in elderly patients. The study participants were 365 patients aged ≥65 years who visited the psychiatric outpatient clinic, Samsung Medical Center between January 1, 2000, and December 31, 2019, and were diagnosed with depressive disorder. They had brain imaging tests including magnetic resonance angiography (MRA), psychological evaluations including the 15-item Geriatric Depression Scale (GDS-15), and lab tests. Individuals' cerebral artery stenosis was identified and the association with significant depressive symptoms was examined. Of the 365 subjects, 108 had at least one location of cerebral artery stenosis (29.6 %). The mean score of GDS-15 in the stenosis group was 8.1 (SD, 3.8), higher than the mean GDS-15 score of 6.5 (SD, 4.0) for the group without stenosis (p < 0.001). Compared to no middle cerebral artery (MCA) stenosis, having MCA stenosis was associated with significant depressive symptoms (p = 0.005). Compared to no posterior cerebral artery (PCA) stenosis, having left PCA stenosis was associated with significant depressive symptoms (p = 0.022). In the multivariable linear regression analysis, only bilateral MCA stenosis had a positive association with the score of GDS-15 (p = 0.013). Bilateral MCA stenosis and left PCA stenosis are associated with significant depressive symptoms among elderly patients, with bilateral MCA stenosis positively associated with the severity of depression. • Cerebral artery stenosis was associated with depressive symptoms among elderly patients. • Bilateral middle cerebral artery stenosis was associated with significant depressive symptoms and the severity. • Left posterior cerebral artery stenosis was associated with significant depressive symptoms. [ABSTRACT FROM AUTHOR]

Age at first onset of depression as a clinical factor affecting cognitive improvement in late life depression was investigated. This is a secondary analysis of an eight-week randomized controlled trial involving 452 elderly patients treated by vortioxetine, duloxetine or placebo (1:1:1). Patients were subcategorized into early-onset (LLD-EO) and late-onset (LLD-LO) groups divided by onset age of 50. Cognitive performance was assessed by composite score of Digit Symbol Substitution Test (DSST) and the Rey Auditory Verbal Learning Test (RAVLT) tasks, while depressive symptoms were assessed by Montgomery–Åsberg Depression Rating Scale (MADRS). Vortioxetine and duloxetine exhibited advantages versus placebo in improving cognitive performance in the LLD-LO group, yet not in the LLD-EO group after eight weeks. Patients in the LLD-EO group showed overall advantage to placebo in depressive symptoms before endpoint (week 8) of treatment, while patients in the LLO-LO group showed no advantage until endpoint. Path analysis suggested a direct effect of vortioxetine (B = 0.656, p =.036) and duloxetine (B = 0.726, p =.028) on improving cognition in the LLD-LO group, yet in all-patients treated set both medications improved cognition indirectly through changes of depressive symptoms. Reliability of clinical history could raise caution as it was collected by subjective recall of patients. Age at first onset might affect cognitive improvement as well as change in depressive symptoms and its mediation towards cognitive improvement in late life depression treated with vortioxetine and duloxetine. • Vortioxetine and Duloxetine improved cognitive performance of elderly depressed patients with first onset after 50. • Patients with first depressive onset before 50 showed earlier symptomatic change than those with first onset after 50. • Vortioxetine and duloxetine showed direct treatment effect on improving cognition in patients with first episode after 50. [ABSTRACT FROM AUTHOR]

Improving safe and effective access to ketamine therapy is of high priority given the growing burden of mental illness. Telehealth-supported administration of sublingual ketamine is being explored toward this goal. In this longitudinal study, moderately-to-severely depressed patients received four doses of ketamine at home over four weeks within a supportive digital health context. Treatment was structured to resemble methods of therapeutic psychedelic trials. Patients receiving a second course of treatment were also examined. Symptoms were assessed using the Patient Health Questionnaire (PHQ-9) for depression. We conducted preregistered machine learning and symptom network analyses to investigate outcomes (osf.io/v2rpx). A sample of 11,441 patients was analyzed, demonstrating a modal antidepressant response from both non-severe (n = 6384, 55.8 %) and severe (n = 2070, 18.1 %) baseline depression levels. Adverse events were detected in 3.0–4.8 % of participants and predominantly neurologic or psychiatric in nature. A second course of treatment helped extend improvements in patients who responded favorably to initial treatment. Improvement was most strongly predicted by lower depression scores and age at baseline. Symptoms of Depressed mood and Anhedonia sustained depression despite ongoing treatment. This study was limited by the absence of comparison or control groups and lack of a fixed-dose procedure for ketamine administration. At-home, telehealth-supported ketamine administration was largely safe, well-tolerated, and associated with improvement in patients with depression. Strategies for combining psychedelic-oriented therapies with rigorous telehealth models, as explored here, may uniquely address barriers to mental health treatment. • Telehealth ketamine assisted treatment was safe and effective for 11,000+ patients. • Machine learning identified patient characteristics predicting symptoms improvement. • Temporal network suggested low mood and anhedonia as key in treatment non-response. • Primarily psychiatric adverse events underscored importance of behavioral support. • Telehealth-supported ketamine administration may help address barriers to treatment. [ABSTRACT FROM AUTHOR]

Research into the shared and distinct brain dysfunctions in patients with schizophrenia (SCZ) and major depressive disorder (MDD) has been increasing. However, few studies have explored the application of functional near-infrared spectroscopy (fNIRS) in investigating brain dysfunction and enhancing diagnostic methodologies in these two conditions. A general linear model was used for analysis of brain activation following task-state fNIRS from 131 patients with SCZ, 132 patients with MDD and 130 healthy controls (HCs). Subsequently, seventy-seven time-frequency analysis methods were used to construct new features of fNIRS, followed by the implementation of five machine learning algorithms to develop a differential diagnosis model for the three groups. This model was evaluated by comparing it to both a diagnostic model relying on traditional fNIRS features and assessments made by two psychiatrists. Brain activation analysis revealed significantly lower activation in Broca's area, the dorsolateral prefrontal cortex, and the middle temporal gyrus for both the SCZ and MDD groups compared to HCs. Additionally, the SCZ group exhibited notably lower activation in the superior temporal gyrus and the subcentral gyrus compared to the MDD group. When distinguishing among the three groups using independent validation datasets, the models utilizing new fNIRS features achieved an accuracy of 85.90 % (AUC = 0.95). In contrast, models based on traditional fNIRS features reached an accuracy of 52.56 % (AUC = 0.66). The accuracies of the two psychiatrists were 42.00 % (AUC = 0.60) and 38.00 % (AUC = 0.50), respectively. This investigation brings to light the shared and distinct neurobiological abnormalities present in SCZ and MDD, offering potential enhancements for extant diagnostic systems. • fNIRS combined with machine learning can distinguish between schizophrenia (SCZ), major depressive disorder (MDD). • The dorsolateral prefrontal cortex, Broca's area, and middle temporal gyrus exhibit dysfunctions in both SCZ and MDD. • The superior temporal gyrus and subcentral gyrus show distinct dysfunctions in SCZ and MDD. [ABSTRACT FROM AUTHOR]

Childhood maltreatment (CM) is prevalent among patients with mood disorders and considered an important risk factor for suicide in the general population. Despite mood disorders being implicated in up to 60 % of completed suicides, the predictive role of CM on suicide attempt (SA) among early mood disorder patients remains poorly understood. We enrolled 480 participants diagnosed with early-onset major depressive disorder (MDD), bipolar I disorder (BD I), and bipolar II disorder (BD II). Over an average of 60 weeks, participants underwent follow-up assessments at 12-week intervals. Using multivariate logistic regression, we examined the association between CM and SA history at baseline. Further, the Cox proportional hazard model assessed the predictive role of childhood maltreatment in SA during follow-up. At baseline, 38 % of the total participants reported SA history, with a follow-up prevalence of 10 %. Childhood maltreatment was significantly associated with past SAs and was a robust predictor of future SA, adjusting for relevant clinical risk factors. Emotional abuse and sexual abuse related to SA history, and physical abuse increased future SA risk. Potential biases in reporting SA and childhood maltreatment, along with unexplored factors such as additional environmental and familial risks, may affect the study's findings. Childhood maltreatment emerged as a robust predictor of SA among early-onset mood disorder patients. Systematic evaluation of CM early in the clinical process may be crucial for effective risk management. Additionally, our findings highlight the importance of implementing proactive interventions for CM to prevent the onset of adverse psychological trajectories. • Childhood maltreatment is a key predictor of suicide attempts over 60 weeks of follow-up in early-onset mood disorders. • Childhood maltreatment remains a significant risk factor for suicide, even when accounting for relevant clinical risk factors. • Findings highlight the need for early detection and interventions to mitigate childhood maltreatment's impact on mood disorders. [ABSTRACT FROM AUTHOR]

As hypothesized in the Self-Regulatory Executive Function (S-REF) model, metacognitive beliefs are associated with anxiety and depression in adults. An important question is the extent to which such effects are present in children and adolescents, with the implication that the model may also apply to young people. The aim of this meta-analysis was to synthesize results on the nature and magnitude of associations between metacognitive beliefs and anxiety and depression in children and adolescents. Systematic searches were conducted to identify studies that investigated: (1) group differences in metacognitive beliefs in clinical compared to non-clinical samples or (2) correlations between metacognitive beliefs and symptoms of anxiety and depression. Forty papers were identified comprising a total sample of 9,887 participants aged 7–18 years. Meta-analyses revealed that clinical samples endorsed significantly elevated metacognitive beliefs on four out of the five domains measured (i.e., negative beliefs about worry, cognitive confidence, need for control, and cognitive self-consciousness, with the only exception being positive beliefs about worry) compared to non-clinical samples with a small to large effect (Hedges' g s = 0.45–1.22). Moreover, all five domains of metacognitive beliefs were significantly and positively correlated with symptoms of anxiety and depression of a small to large effect (r s =.24–.53). Negative beliefs about worry showed the strongest relationship with clinical status and the magnitude of symptoms. The number of studies did not allow for an evaluation of metacognitive beliefs at a disorder-specific level. In line with the S-REF model, our findings provide evidence of robust cross-sectional relationships between metacognitions and both anxiety and depression in childhood and adolescence. • Metacognitive beliefs are positively associated with anxiety and depression in adults. • A meta-analysis evaluating such relationships in young people is needed. • Forty papers were included with a total of 9,887 participants aged 7-18 years. • Clinical groups endorsed elevated metacognitions compared to non-clinical groups. • Metacognitive beliefs positively correlated with symptoms of anxiety and depression. [ABSTRACT FROM AUTHOR]

This study aims to explore the mediating and moderating effect of health-promoting lifestyles on the relationship between frailty and depressive symptoms to provide a practical reference for effectively promoting the mental health of older adults. A cross-sectional survey of community-dwelling older adults (n = 3107) was conducted in three cities of Ningxia Province, China. Depressive symptoms, frailty, and health-promoting lifestyles were assessed through the 30-item Geriatric Depression Scale, frailty scale, and health-promoting Lifestyle profile-II, respectively. The Bootstrap methods PROCESS program is employed to test the mediation and moderation model. The findings indicated that health-promoting lifestyles are negatively related to depressive symptoms and frailty, while frailty is positively associated with depressive symptoms. Health-promoting lifestyles have mediated the relationship between frailty and depressive symptoms. Besides, the health-promoting lifestyles weakened the positive relationship between frailty and depression symptoms; there existed a moderating effect of health-promoting lifestyles on the relationship between frailty and depression symptoms among older adults. Given the cross-sectional study, it is impossible to make causal inferences. A health-promoting lifestyle might be a protective factor for older adults' health in China. The mediating and moderating effect of a health-promoting lifestyle on the relationship between frailty and depression symptoms among older adults should be integrated to achieve maximum utility. Healthcare practitioners and medical service personnel are recommended to advance health education and publicity, encouraging healthy lifestyles among community-dwelling older adults with frailty to prevent depressive symptoms and promote healthy aging. • Focusing on frailty and depressive symptoms among the Chinese older adults • The relationship is mediated and moderated by health-promoting lifestyle. • First study to explore the moderated and mediated model of the study variables • The relationship should be integrated to achieve maximum utility. [ABSTRACT FROM AUTHOR]

Depression and suicidal ideation often co-occur in children and adolescents, yet they possess distinct characteristics. This study sought to identify the different related factors associated with depression and suicidal ideation. A nationwide cross-sectional survey collected data from Chinese children and adolescents aged 8 to 18 (N = 160,962; 48.91 % girls). The survey included inquiries about demographics, depression, suicidal ideation, anxiety, perceived stress, academic burnout, internet addiction, non-suicidal self-injury, bullying, and being bullied. Fifteen machine learning algorithms were conducted to identify the different related factors associated with depression and suicidal ideation. Additionally, we conducted external validation on an independent sample of 1,812,889 children and adolescents. Our findings revealed seven related factors linked to depression and six associated with suicidal ideation, with average accuracy rates of 86.86 % and 85.82 %, respectively. For depression, the most influential factors were anxiety, perceived stress, academic burnout, internet addiction, non-suicidal self-injury, experience of bullying, and age. Similarly, anxiety, non-suicidal self-injury, perceived stress, internet addiction, academic burnout, and age emerged as paramount factors for suicidal ideation. Moreover, these related factors showed notable variations in their predictive capacities for depression and suicidal ideation across different subgroups. Anxiety emerged as the predominant shared factor for both depression and suicidal ideation, whereas the other related factors displayed distinct predictive patterns for each condition. These findings highlight the critical need for tailored strategies from public mental health service providers and policymakers to address the pressing concerns of depression and suicidal ideation. • The internal validation sample included 160,962 youths and the external validation sample comprised 1,812,889 youths. • Fifteen algorithms were used to predict depression and suicidal ideation. • Anxiety was the predominant shared factor for both depression and suicidal ideation. • Other related factors were differently associated with depression and suicidal ideation. • Related factors exhibited notable variations in their predictive capacities for predicting depression and suicidal ideation across different subgroups. [ABSTRACT FROM AUTHOR]

Major depressive disorder (MDD) is treated primarily using antidepressant drugs, but clinical effects may be delayed for weeks to months. This study investigated the efficacy of brief therapeutic sleep deprivation (TSD) for inducing rapid improvements in MDD symptoms. From November 2020 to February 2023, 54 inpatients with MDD were randomly allocated to TSD and Control groups. The TSD group (23 cases) remained awake for 36 h, while the Control group (31 cases) maintained regular sleep patterns. All participants continued regular drug therapy. Mood was assessed using the 24-item Hamilton Depression Scale (HAMD-24) at baseline and post-intervention in both groups. In the TSD group, the Visual Analogue Scale (VAS) was utilized to evaluate subjective mood during and after the intervention. Cognitive function was assessed at baseline and post-intervention using the Montreal Cognitive Assessment (MoCA). Objective sleep parameters were recorded in the TSD group by polysomnography. The follow-up period spanned one week. HAMD-24 scores did not differ between groups at baseline or post-intervention. However, the clinical response rate was 34.8 % higher in the TSD group on day 3 post-intervention compared to the Control group (3.2 %), but not sustained by day 7. Moreover, responders demonstrated a faster improvement in the VAS score during TSD than non-responders (p = 0.047). There were no significant differences in MoCA scores or objective sleep parameters between the groups. Small sample size and notable attrition rate. Therapeutic sleep deprivation can rapidly improve MDD symptoms without influencing sleep parameters or cognitive functions. Assessment of longer-term effects and identification of factors predictive of TSD response are warranted. • Sleep deprivation transiently reduced depressive symptoms in a subgroup of patients. • Sleep deprivation had no discernible adverse effects on sleep quality or cognition. • The long-term antidepressant efficacy of sleep deprivation warrants further study. [ABSTRACT FROM AUTHOR]

Little is known about the collective patterns of health-related behaviors of older adults living alone. We aimed to identify subgroups of older adults living alone based on their health lifestyle and examine the relationship between these subgroups and sociodemographic characteristics, life satisfaction, and depressive symptoms. A total of 3137 older adults living alone were sampled from the 2020 National Survey of Older Koreans. Latent class analysis was performed using 11 health-related behaviors: smoking; alcohol consumption; fruit, vegetable, and dairy product consumption; exercise; cultural leisure; social groups; educational activities; health check-ups; and dementia screening. Multinomial logistic and multiple linear regression analyses were performed. Three classes were identified: Consistently Healthy (CH), Moderately Healthy but Inactive (MHI), and Unhealthy but Active (UA). Compared to the CH, members of the MHI tend to have no formal education and rarely meet relatives. Members of the UA were more likely to be male and employed. The MHI and UA were more likely to have lower incomes, meet with children less frequently or have no children, and rarely meet friends, neighbors, and acquaintances when compared to the CH. Members of the UA group had the highest risk of reduced life satisfaction and increased depressive symptoms. The cross-sectional design precluded causal inferences. Our study sheds light on the heterogeneity of health lifestyles among older adults living alone and highlights the need for tailored interventions to promote healthy aging in this population. • There was heterogeneity in health lifestyles among older adults living alone. • Three groups were identified by performing latent class analysis. • Life satisfaction and depressive symptoms differ greatly among the three groups. [ABSTRACT FROM AUTHOR]

Disrupted sleep and rest-activity pattern are common clinical features in depressed individuals. This meta-analysis compared sleep and circadian rest-activity rhythms in people with major depressive disorder (MDD) or depressive symptoms and healthy controls. Eligible studies were identified in five databases up to December 2023. The search yielded 53 studies with a total of 11,115 participants, including 4000 depressed participants and 7115 healthy controls. Pooled meta-analyses demonstrated that depressed individuals have significantly longer sleep latency (SMD = 0.23, 95 % CI: 0.12 to 0.33) and wake time after sleep onset (SMD = 0.37, 95 % CI: 0.22 to 0.52), lower sleep efficiency (SMD = −0.41, 95 % CI: −0.56 to −0.25), more nocturnal awakenings (SMD = 0.58, 95 % CI: 0.29 to 0.88), lower MESOR (SMD = −0.54, 95 % CI: −0.81 to −0.28), amplitude (SMD = −0.33, 95 % CI: −0.57 to −0.09), and interdaily stability (SMD = −0.17, 95 % CI: −0.28 to −0.05), less daytime (SMD = −0.79, 95 % CI: −1.08 to −0.49) and total activities (SMD = −0.89, 95 % CI: −1.28 to −0.50) when compared with healthy controls. Most of the included studies reported separate sleep and activity parameters instead of 24-hour rest-activity rhythms. The variabilities among actigraphy devices and the types of participants recruited also impede precise comparisons. The findings emerging from this study offered a better understanding of sleep and rest-activity rhythm in individuals with MDD or depressive symptoms. Future studies could advocate for deriving objective, distinctive 24-hour rest-activity profiles contributing to the risk of depression. CRD42021259780. • The review included 53 new studies up to December 2023. • Depressed individuals reported significantly poorer sleep than healthy controls. • Depressed individuals had disrupted circadian rest-activity rhythms. • Actigraphy has wide reaching and cost-effective public mental health implication. • Future studies can identify objective, distinctive 24-h rest-activity profiles in depression. [ABSTRACT FROM AUTHOR]

A more in-depth understanding of the relationship between depressive symptoms, neurocognition and suicidal behavior could provide insights into the prognosis and treatment of major depressive disorder (MDD) and suicide. We conducted a network analysis among depressed patients examining associations between history of suicide attempt (HSA), core emotional major depression disorder, and key neurocognitive domains. Depressed patients (n = 120) aged 18–65 years were recruited from a larger randomized clinical trial conducted at the Douglas Institute in Montreal, Canada. They were randomly assigned to receive one of two antidepressant treatments (i.e., escitalopram or desvenlafaxine) for 8 weeks. Core emotional MDD and key neurocognitive domains were assessed pre-post treatment. At baseline, an association between history of suicide attempt (HSA) and phonemic verbal fluency (PVF) suggested that HSA patients reported lower levels of the latter. After 8 weeks of antidepressant treatment, HSA became conditionally independent from PVF. Similar results were found for both the HAM-D and the QIDS-SR core emotional MDD/neurocognitive networks. Network analysis revealed a pre-treatment relationship between a HSA and decreased phonemic VF among depressed patients, which was no longer present after 8 weeks of antidepressant treatment. • Core emotional MDD and key neurocognitive domains pre-post treatment associated with a history of suicide attempt. • Similar results for both the HAM-D and the QIDS-SR core emotional MDD/neurocognitive networks. • Network analysis revealed a pre-treatment relationship between a HSA and decreased phonemic VF among depressed patients. • Relationship between a HSA and decreased phonemic VF disappeared after 8 weeks of antidepressant treatment. [ABSTRACT FROM AUTHOR]

Major depressive disorder (MDD) and bipolar disorder (BD) are prevalent psychiatric conditions linked to inflammatory processes. However, it is unclear whether associations of immune cells with these disorders are likely to be causal. We used two-sample Mendelian randomization (MR) approach to investigate the relationship between 731 immune cells and the risk of MDD and BD. Rigorous sensitivity analyses are conducted to assess the reliability, heterogeneity, and horizontal pleiotropy of the findings. Genetically-predicted CD27 on IgD+ CD38− unswitched memory B cell (inverse variance weighting (IVW): odds ratio (OR) [95 %]: 1.017 [1.007 to 1.027], p = 0.001), CD27 on IgD+ CD24+ B cell (IVW: OR [95 %]: 1.021 [1.011 to 1.031], p = 4.821E−05) and other 12 immune cells were associated with increased risk of MDD in MR, while HLA DR++ monocyte %leukocyte (IVW: OR [95 %]: 0.973 [0.948 to 0.998], p = 0.038), CD4 on Central Memory CD4+ T cell (IVW: OR [95 %]: 0.979 [0.963 to 0.995], p = 0.011) and other 13 immune cells were associated with decreased risk of MDD in MR. Additionally, CD33+ HLA DR+ Absolute Count (IVW: OR [95 %]: 1.022[1.007 to 1.036], p = 0.007), CD28+ CD45RA− CD8+ T cell %T cell (IVW: OR [95 %]: 1.024 [1.008 to 1.041], p = 0.004) and other 18 immune cells were associated with increased risk of BD in MR, while CD62L on CD62L+ myeloid Dendritic Cell (IVW: OR [95 %]: 0.926 [0.871 to 0.985], p = 0.014), IgD− CD27− B cell %lymphocyte (IVW: OR [95 %]: 0.918 [0.880 to 0.956], p = 4.654E−05) and other 13 immune cells were associated with decreased risk of BD in MR. This MR study provides robust evidence supporting a causal relationship between immune cells and the susceptibility to MDD and BD, offering valuable insights for future clinical investigations. Experimental studies are also required to further examine causality, mechanisms, and treatment potential for these immune cells for MDD and BD. • Early life infection is linked with autoimmune disease and subsequent psychiatric disorders in adults. • Complex immune-brain interactions may have causal and therapeutic implications for MDD and BD. • MR can control residual factors including limited sample size and flawed study design. [ABSTRACT FROM AUTHOR]

Previous studies had reported depression symptoms and TG/HDLC ratio may share pathophysiological pathway. The aim was to investigate the combined effects of depression symptoms and TG/HDL-C ratio on the risk of CMM. This cohort study extracted data from 2011 to 2018 of CHARLS. The CMM event occurred from 2013 to 2018, defined as suffering from more than one of stroke, cardiac events, and diabetes mellitus. Cox proportional hazards regression models were used to assess the association between the baseline combined effects of depression symptoms and TG/HDL-C ratio with incidence of CMM, stroke, cardiac events, and diabetes mellitus. A total of 8349 participants (3966 men and 4383 women) were included in the study, with a mean age of 58.5 years. During a 7-year follow-up survey, 370 (4.43 %) participants developed CMM. Compared to individuals with no depression symptoms and low TG/HDLC ratio, the multivariable-adjusted HRs (95%CI) for the new-onset CMM for patients with the depression symptoms alone, high TG/HDLC ratio alone, and depression symptoms and high TG/HDLC ratio were 1.37 (95 % CI = 0.95–1.98), 1.62 (95 % CI = 1.22–2.14), 1.94 (95 % CI = 1.39–2.72), respectively (P < 0.001). Firstly, potential confounding factors such as dietary intake and nutrition were not collected at the time of study design. Secondly, exposure to the outcome was self-reported, which may cause recall bias or misclassification. Finally, the population was aged ≥45 years, so the results cannot be generalized to all age groups. Our findings indicated that patients with depression and high TG/HDLC ratio had a higher risk of developing CMM. • Assessment of depressive symptoms or TG/HDL-C ratio alone may not fully explain the onset of CMM. • The combined effect of depressive symptoms and high TG/HDL-C ratio was associated with the greatest risk of CMM. • Physicians should pay attention to general population with depressive symptoms as well as high TG/HDL-C ratio. [ABSTRACT FROM AUTHOR]

This study aimed to investigate the potential mediating role of the neurofilament light chain (NfL) level between depressive symptoms and cognitive function in older population. A total of 495 adults (age ≥60 years) from the National Health and Nutrition Examination Survey (NHANES) participated in this study. Cognitive function was assessed using a combination of the Animal Fluency Test (AFT), the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) and the Digit Symbol Substitution Test (DSST). Word List Learning Test. Patient Health Questionnaire-9 (PHQ-9) was used to assess depressive symptoms. Data on serum NfL(sNfL) were collected. Multiple linear regressions and mediation analysis were utilized to examine the associations. After adjusting for potential confounding factors, the proportions mediated by the sNfL level between depressive symptoms and cognitive function was 19.65 %. The indirect effect mediated by the sNfL level between depressive symptoms and cognitive function was significant (β [95 % CI]:-0.0089 [−0.0191, −0.0017], p = 0.040), while the direct effect in the absence of sNfL was non-significant (β [95 % CI]: −0.0365 [−0.0739 0.0008], p = 0.055). This is an explorative cross-sectional study with its limits in generalizability and ability to establish definitive causal associations. The results should be interpreted with caution due to the constraints imposed by the characteristics of the population with a relatively low overall level of depressive symptoms. The sNfL level, depressive symptoms, and cognitive decline are interconnected, and the sNfL level could mediate the relationship between depressive symptoms and cognitive decline among older adults. • Depression symptoms were associated with cognitive decline. • The sNfL level may mediate the association between depression and cognition. • It might be important to monitor and address sNfL levels in older adults with depressive symptoms [ABSTRACT FROM AUTHOR]

Depression accounts for a high proportion of neuropsychiatric disorders and is associated with abnormal states of neurons in specific brain regions. Microglia play a pivotal role in the inflammatory state during depression development; however, the exact mechanism underlying chronic mood states remains unknown. Thus, the present study aimed to determine whether microRNAs (miRNAs) alleviate stress-induced depression-like behavior in mice by regulating the expression levels of their target genes, explore the role of neuroinflammation induced by microglial activation in the pathogenesis and progression of depression, and determine whether the role of the miR-29a-5p/transmembrane protein 33 (TMEM33) axis. In this study, chronic unpredictable mild stress (CUMS) mouse depression model, various behavioral tests, western blotting, dual-luciferase reporter assay, enzyme-linked immunosorbent assay, real-time quantitative reverse transcription PCR, immunofluorescence and lentivirus-mediated gene transfer were used. After exposure to the CUMS paradigm, miR-29a-5p was significantly down-regulated. This downregulation subsequently promoted the polarization of microglia M1 by upregulating the expression of TMEM33, resulting in enhanced inflammatory chemokines affecting neurons. Conversely, the upregulation of miR-29a-5p within the prefrontal cortex (PFC) suppressed TMEM33 expression, facilitated microglia M2-polarization, and ameliorated depressive-like behavior. Only rodent models of depression were used, and human samples were not included. The results of this study suggest that miR-29a-5p deficits within the PFC mediate microglial anomalies and contribute to depressive-like behaviors. miR-29a-5p and TMEM33 may, therefore, serve as potential therapeutic targets for the treatment of depression. • miR-29a-5p is downregulated by chronic stress. • Upregulation of miR-29a-5p improved depression-like behavior. • miR-29a-5p deficits in prefrontal cortex mediate microglial anomalies. • miR-29a-5p and TMEM33 are potential therapeutic targets for depression treatment. [ABSTRACT FROM AUTHOR]

Evidence suggests that loneliness causes people to feel more depressed. It is unknown, however, why this association occurs and whether momentary versus chronic experiences of loneliness are implicated. Theoretical accounts suggest that momentary feelings of loneliness produce two competing motivations: social reaffiliation and social withdrawal. Social affiliation is protective against depression; social withdrawal, in contrast, is a risk factor. Thus, engaging in frequent and high-quality interactions following experiences of loneliness may protect against subsequent depression. We tested this hypothesis using a random-interval experience sampling design (5x/day/day, 14 days; Nobs = 6568) with a racially/ethnically diverse sample of adults with elevated depression symptoms (N = 102). Momentary loneliness was associated with depressed mood at the same time point and ∼2.5h and ∼5h later. Frequency and quality of social interaction did not moderate these associations. Findings suggest that momentary feelings of loneliness may be an important target for clinical intervention. • Evidence suggests that loneliness is causally associated with depression. • It is unclear whether momentary vs. chronic feelings of loneliness cause depression. • Features of social interactions (e.g., quantity) may buffer against subsequent depression. • Results showed that loneliness was associated with depression at the same time point and ∼2.5 and ∼5 hours later. • Neither social interaction quantity, satisfaction, self- and other-disclosure, nor responsiveness moderated this association. [ABSTRACT FROM AUTHOR]

Personalized functional connectivity mapping has been demonstrated to be promising in identifying underlying neurophysiological basis for brain disorders and treatment effects. Electroconvulsive therapy (ECT) has been proved to be an effective treatment for major depressive disorder (MDD) while its active mechanisms remain unclear. Here, 46 MDD patients before and after ECT as well as 46 demographically matched healthy controls (HC) underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans. A spatially regularized form of non-negative matrix factorization (NMF) was used to accurately identify functional networks (FNs) in individuals to map individual-level static and dynamic functional network connectivity (FNC) to reveal the underlying neurophysiological basis of therepetical effects of ECT for MDD. Moreover, these static and dynamic FNCs were used as features to predict the clinical treatment outcomes for MDD patients. We found that ECT could modulate both static and dynamic large-scale FNCs at individual level in MDD patients, and dynamic FNCs were closely associated with depression and anxiety symptoms. Importantly, we found that individual FNCs, particularly the individual dynamic FNCs could better predict the treatment outcomes of ECT suggesting that dynamic functional connectivity analysis may be better to link brain functional characteristics with clinical symptoms and treatment outcomes. Taken together, our findings provide new evidence for the active mechanisms and biomarkers for ECT to improve diagnostic accuracy and to guide individual treatment selection for MDD patients. • The longitudinal MRI data for MDD patients before and after ECT were acquired. • Individual large-scale functional network for each subject was mapped. • Static and dynamic large-scale functional network connectivity analyses were employed. • Machine learning based prediction model for treatment outcome was established. [ABSTRACT FROM AUTHOR]

The absence of clinically-validated biomarkers or objective protocols hinders effective major depressive disorder (MDD) diagnosis. Compared to healthy control (HC), MDD exhibits anomalies in plasma protein levels and neuroimaging presentations. Despite extensive machine learning studies in psychiatric diagnosis, a reliable tool integrating multi-modality data is still lacking. In this study, blood samples from 100 MDD and 100 HC were analyzed, along with MRI images from 46 MDD and 49 HC. Here, we devised a novel algorithm, integrating graph neural networks and attention modules, for MDD diagnosis based on inflammatory cytokines, neurotrophic factors, and Orexin A levels in the blood samples. Model performance was assessed via accuracy and F1 value in 3-fold cross-validation, comparing with 9 traditional algorithms. We then applied our algorithm to a dataset containing both the aforementioned protein quantifications and neuroimages, evaluating if integrating neuroimages into the model improves performance. Compared to HC, MDD showed significant alterations in plasma protein levels and gray matter volume revealed by MRI. Our new algorithm exhibited superior performance, achieving an F1 value and accuracy of 0.9436 and 94.08 %, respectively. Integration of neuroimaging data enhanced our novel algorithm's performance, resulting in an improved F1 value and accuracy, reaching 0.9543 and 95.06 %. This single-center study with a small sample size requires future evaluations on a larger test set for improved reliability. In comparison to traditional machine learning models, our newly developed MDD diagnostic model exhibited superior performance and showed promising potential for inclusion in routine clinical diagnosis for MDD. • Significant changes observed in the levels of various plasma proteins and neuroimaging alterations in MDD. • Altered indicators of protein levels and neuroimaging are correlated with clinical features. • Pioneered the development of a novel algorithm integrating graph neural networks and attention modules. [ABSTRACT FROM AUTHOR]

Rumination is a maladaptive response to distress characteristic of Major Depressive Disorder (MDD). It is unclear to what degree rumination is associated with depression severity prior to treatment and how it responds to antidepressant treatment. Therefore, we evaluated the association between rumination and depression severity in 92 untreated patients with MDD and explored the changes in rumination after initiation of antidepressant medication. We measured rumination using the Rumination Response Scale (RRS) and depression severity with the Hamilton Depression Rating Scale (HDRS 17 or HDRS 6) before and after initiation of 12 weeks of antidepressant treatment. The association between RRS and pre-treatment HDRS 17 was evaluated using a linear regression model. RRS at week 4, 8, and 12 across treatment response categories (remission vs. non-response) were evaluated using a mixed effect model. RRS was positively associated with depression severity prior to treatment at a trend level (p = 0.06). After initiation of treatment RRS decreased significantly (p < 0.0001) and remitters exhibited lower rumination compared to non-responders at week 4 (p = 0.03), 8 (p = 0.01), and 12 (p = 0.007). The study had no placebo group. Although pre-treatment rumination did not significantly associate with depressive symptoms, rumination was closely connected to change in depressive symptoms. Tormented patients could be reassured that rumination symptoms may be alleviated over the course of antidepressant treatment. • Pre-treatment rumination associate with depression severity at a trend level. • Rumination is connected to change in depressive symptoms during treatment. • Different rumination time-courses are created after 4 weeks of treatment. [ABSTRACT FROM AUTHOR]

LGBTQ+ populations have been reported to have higher rates of depression compared with their heterosexual peers. Such data provided us the impetus to conduct a meta-analysis on the worldwide prevalence of major depressive disorder (MDD) in LGBTQ+ populations and moderating factors that contributed to differences in prevalence estimates between studies. A systematic literature search was performed in major international (PubMed, PsycINFO, Web of Science, EMBASE) and Chinese (Chinese Nation Knowledge Infrastructure (CNKI) and WANFANG) databases from dates of inception to 10 December 2021. 48 articles comprising 4,616,903 individuals were included in the meta-analysis. The overall prevalence of MDD was 32.2 % (95%CI: 30.8–33.6 %, I2 = 99.6 %, τ2 = 0.284). MDD prevalence was higher in the LGBTQ+ samples from the United States than other countries, though the difference was not significant in moderator analyses. Moderator analyses indicated point and lifetime prevalence of MDD were significantly higher than estimates based on the past year (Q = 6.270, p = 0.043). Furthermore, studies that relied on convenience sampling had a higher prevalence of MDD than those based on other sampling methods (Q = 8.159, p = 0.017). In meta-regression analyses, mean age (B = 0.03, z = 9.54, p < 0.001) and study quality assessment score (B = 0.24, z = 67.64, p < 0.001) were positively associated with pooled prevalence of MDD while mediation data of year of study (B = -0.08, z = −72.55, p < 0.001) and sample size (B = -1.46, z = −37.83, p < 0.001) were negatively associated with pooled prevalence of MDD in LGBTQ+ samples. MDD is common among in LGBTQ+ individuals. Considering the negative consequences MDD has on daily life and well-being, appropriate prevention and treatment measures should be provided to vulnerable members of these populations. The findings of this meta-analysis could facilitate identifying at-risk subgroups, developing relevant health policy for LGBTQ+ individuals and allocating health resources from an intersectionality perspective. • This meta-analysis examined the prevalence major depressive disorder (MDD) in LGBTQ+ populations and moderators. • In total, 48 articles comprising 4,618,787 individuals were included, and the overall prevalence of MDD was 32.2%. • The findings of this meta-analysis could facilitate identifying at-risk subgroups, developing relevant health policy for LGBTQ+ individuals. [ABSTRACT FROM AUTHOR]

Depression is common at older ages, but is under-recognized due to stigma, misperception, and under-diagnosis; its manifestations may vary by setting. Identifying older adults at risk of depression in the community is urgently needed for timely support and early interventions. We assessed the performance of an existing risk prediction model developed in a European setting (i.e., Depression Risk Assessment Tool (DRAT-up)), and developed a new model (i.e., EHS-Depress model) to predict 2-year risk of the onset of later life depressive symptoms in older Chinese adults. Among 185,538 participants aged ≥65 years from Hong Kong's Elderly Health Service (EHS) cohort, 174,806 without depressive symptoms at baseline were included. Two-thirds were randomly sampled for recalibration and new model development using Cox proportional-hazards models with backward elimination. Overall predictive performance, discrimination, and calibration were assessed using the remaining. The original DRAT-up model underestimated the risk of developing depressive symptoms in older Chinese adults; recalibrating it improved calibration. The new EHS-Depress model had better discrimination (Harrell's C statistic 0.68 and D statistic 2.74) and similarly good calibration (calibration slope 1.18 and intercept −0.002) probably due to the inclusion of more specific health measures, socio-demographics, lifestyle factors, and regular social contact as predictors. Predictors of depressive symptoms included in our models depend on the data availability. The EHS-Depress model predicted 2-year risk of developing depressive symptoms better than the original and recalibrated DRAT-up models. The setting-specific risk prediction model is more applicable to older Chinese adults in primary care settings. • The EHS-Depress model can predict depressive symptoms in older Chinese adults. • Risk prediction needs predictors that reflect Chinese perceptions and experience. • Setting-specific model is applicable to primary care settings in Hong Kong, China. [ABSTRACT FROM AUTHOR]

rTMS is a safe and effective intervention for treatment-resistant depression (TRD). However, there is limited data on its specific impact on suicidal ideation (SI), and the trajectory of SI over the treatment course. This open-label clinical trial investigated SI outcomes and trajectories in patients with TRD receiving low-frequency rTMS (LFR) to the right dorsolateral prefrontal cortex (DLPFC; N = 55). A latent class mixed-effect model was used to identify response trajectories for SI as well as core mood symptoms. Logistic regression analyses investigated risk factors associated with identified trajectories. For each symptom domain, we identified two distinct trajectories during LFR, one tracking improvement (SI: n = 35, 60 %; mood: n = 29, 53 %) and the other tracking no improvement (SI: n = 20, 40 %; mood: n = 26, 47 %). Male sex, higher baseline anxiety, and higher baseline SI were risk factors for no improvement of SI; while higher baseline anxiety and benzodiazepine use were risk factors for no improvement of mood. Mediation analyses showed that anxiety was a risk factor for no improvement of SI and mood independent of benzodiazepine treatment. This is the first study to investigate trajectories of response to LFR to the right DLPFC. SI and mood improved with LFR in most patients but the severity of anxiety symptoms was a factor of poor prognosis for both. Nuanced characterization of SI response to rTMS may lead to critical insights for individualized targeting strategies. • We identified two distinct response trajectories to LFR rTMS for suicidal ideation and core mood symptoms. • "No improvement" trajectory was predicted by higher baseline anxiety, independent of benzodiazepine use. • LFR rTMS may alleviate symptoms of suicidal ideation similar to high-frequency left or bilateral stimulation protocols. [ABSTRACT FROM AUTHOR]

Low social support has been identified as a risk factor for perinatal mental health problems. However, previous studies mainly focused on partner support or general social support and neglected the roles of grandparents. Here, we examine whether a lack of grandparental support is related to increased risk of a diagnosis of perinatal depression. In addition, we examine whether poor grandparental support is related to more depressive symptoms in mothers with and without previously diagnosed perinatal depression and whether perceived grandparental support buffers against parenting difficulties in mothers with perinatal depression. The sample was drawn from an Australian pregnancy cohort study and consisted of 725 women, including 230 women who met criteria for Major Depression. At 12 months postpartum, women reported on grandparental geographical proximity and hours of grandparental childcare support. Perceived grandparental support was assessed with the Postpartum Social Support Questionnaire and parenting difficulties and depressive symptoms with the Parenting Stress Index and the Edinburgh Postnatal Depression Scale. Perceived grandparental support was related to fewer depressive symptoms among mothers with perinatal depression. In addition, higher levels of perceived grandparental support were related to lower parenting stress in mothers with and without perinatal depression. Intergenerational conflicts and quality of grandparenting were not assessed. Our findings indicate that supportive grandparents may prevent the development of more severe perinatal depression in mothers experiencing perinatal mental health problems. Future studies should examine whether involving grandparents in treatment may add to the effectiveness of existing perinatal mental health interventions. • There is little attention to roles of grandparents in perinatal depression (PND). • Perceived grandparental support is related to less severe PND when diagnosable. • Perceived grandparental support is related to less parenting stress in mothers. • Grandparental support with childcare is not related to severity of PND. • Involving grandparents may add to existing PND interventions. [ABSTRACT FROM AUTHOR]

The association between the Triglyceride-glucose (TyG) index and depression has been observed, yet its confirmation within peri- and postmenopausal demographics remains elusive. Consequently, the principal aim of this investigation is to explore the nexus between TyG-related indicators and depressive symptoms among pre- and postmenopausal women. The data utilized in this study were obtained from the National Health and Nutrition Examination Survey (NHANES) conducted from 2013 to 2016. The patients were divided into three groups based on TyG, Triglyceride-Glucose-Body Mass Index (TyG-BMI), Triglyceride-Glucose-Waist Circumference (TyG-WC), and Triglyceride-Glucose-Waist-to-Height Ratio (TyG-WHtR): Q1 (1st quintile), Q2 (2nd quintile), and Q3 (3rd quintile). Further exploration of the differences between these groups was conducted. Employing logistic regression, stratified analysis, restricted cubic splines, and subgroup analyses, we scrutinized the correlation between TyG-related indicators and depressive symptoms in both premenopausal and postmenopausal women. Furthermore, sensitivity analyses were conducted to assess the durability and uniformity of this relationship. In premenopausal women, there was a consistent independent positive correlation between TyG-BMI, TyG-WC, and TyG-WHtR with depressive symptoms across all three models, while TyG itself did not show a significant association. In Models 1 and 2, TyG-BMI exhibited a higher odds ratio (OR) value than the other two indicators [Model 1, Q3 OR (95 % confidence interval, CI) = 3.37 (1.91–5.94); Model 2, Q3 OR (95 % CI) = 3.03 (1.67–5.52)]. In Models 3, TyG-WHtR demonstrates a more significant association with depressive symptoms [Model 3, Q3 OR (95 % CI) = 2.85 (1.55–5.27)]. This correlation does not manifest in menopausal women. In premenopausal women, TyG-BMI, TyG-WC, and TyG-WHtR exhibited a positive and linear relationship with depressive symptoms. Furthermore, the analysis revealed that the combined measures of TyG-BMI, TyG-WC, and TyG-WHtR offered greater precision and sensitivity in assessing this association compared to TyG alone. • A cross-sectional analysis first examined the link between TyG indicators and depressive symptoms in pre- and postmenopausal women. • A strong correlation was found between TyG-BMI, TyG-WC, and TyG-WHtR, and depression in premenopausal women. • Using multiple indicators was more effective than the TyG index alone in predicting depression risk. [ABSTRACT FROM AUTHOR]