Aim: This study aims to elucidate the impact of childhood sexual abuse (CSA) on major depressive disorder (MDD) and alcohol use disorder (AUD) globally, regionally, and nationally, informing targeted public health interventions and policy. Methods: Using data from the Global Burden of Disease (GBD) Study 2019, we assessed the impact of CSA on MDD and AUD, analyzing disability-adjusted life years (DALYs) per 100,000 population. Our analysis included age, sex, geographic locations, temporal trends in age-standardized rates (ASR), and examined the relationship between the social development index (SDI) and the burden of these disorders. Results: From 1990 to 2019, the global ASR for MDD attributable to CSA increased by 1.9 %, while AUD decreased by 17.1 %. Significant gender disparities emerged, with females showing higher ASRs for MDD and males for AUD. The highest burden was observed in the 35-44 age group. Geographical analysis revealed the highest ASRs for MDD in Sub-Saharan Africa and for AUD in Eastern Europe, Central Europe, and High-income North America. A U-shaped relationship between SDI and disorder burdens was also identified. Conclusions: Our findings indicate a slight increase in MDD and a significant decrease in AUD burdens globally due to CSA, underscoring the need for targeted interventions considering gender, geographical, and developmental differences. This calls for strategies tailored to each country's unique development, culture, and regional specifics.

Suicidality is a common and serious symptom of depression and patients with depression and suicidality often respond to electroconvulsive therapy (ECT), but the mechanism of its effect is poorly understood. We used resting-state functional magnetic resonance imaging (rs-fMRI) to explore changes in brain connectivity before and after ECT in depressed patients with suicidality. Twenty-three depressed patients with suicidality underwent rs-fMRI at baseline and after 8–12 ECT sessions. Thirty-two age-, sex-, and education-matched healthy controls (HCs) underwent rs-fMRI once. We used functional connectivity (FC) analysis to identify brain regions with altered connectivity in patients compared to HCs and assess changes in FC before and after ECT. We also assessed the clinical symptoms using the Hamilton Depression Scale, 17-item (HAMD-17), and Beck Scale for Suicide Ideation (BSSI). Compared to HCs, at baseline, patients had reduced FC between the left orbitofrontal cortex (OFC_ Ant_L) and left angular gyrus (Angular_L) (t = 3.849, P < 0.05) with OFC_Ant_L as ROI. With left superior frontal gyrus (Frontal_sup_L) as ROI, patients also had reduced FC between Frontal_sup_L and left superior medial frontal gyrus, medial orbital (Frontal_Med_Orb_L) and left precuneus (Precuneus_L) (t = 3.650, P < 0.05), and increased FC between Frontal_sup_L and right middle frontal gyrus (Frontal_Mid_R) (t = -4.220, P < 0.05). After ECT, with Frontal_sup_L as ROI, patients showed increased FC between Frontal_sup_L and Angular_L after ECT (t = -3.982, P < 0.05) and decreased FC between Frontal_sup_L and right superior and inferior parietal gyrus (Parietal_Sup Inf_R). In ECT responders, the change in FC between Frontal_sup_L and Angular_L was negatively correlated with the change of the score of BSSI (r = -0.645, P = 0.042), and the change in FC between Frontal_sup_L and Parietal_Sup Inf_R was positively correlated with the change of the score of BSSI (r = 0.714, P = 0.023). There was no correlation between changes in FC with changes in HAMD-17 score (all P > 0.05). Our findings suggest that FC between Frontal_sup_L and Angular_L, and FC between Frontal_sup_L and Parietal_Sup Inf_R may be involved in the mechanisms by which ECT exerts its effects on suicidality in patients with depression. Our findings provide insights into the neural underpinnings of ECT and may inform the development of more targeted novel therapeutic strategies for suicidality. Chinese Clinical Trial Registry, ChiCTR2100048182, Registered 04 July 2021, www.chictr.org.cn

Suicide is a complex behavior strongly associated with depression. Despite extensive research, an objective biomarker for evaluating the suicide risk precisely and timely is still lacking. Using the precision resting-state fMRI method, we studied 61 depressive patients with suicide ideation (SI) or suicide attempt (SA), and 35 patients without SI to explore functional biomarkers of suicide risk. Among them, 21 participants also completed electroconvulsive therapy (ECT) treatment, allowing the examination of functional changes across different risk states within the same individual. Functional networks were localized in each subject using resting-state fMRI and then an individualized connectome was constructed to represent the subject’s functional brain organization. Compared to patients without SI, patients with suicide risk showed hyper-connectivity involving the frontoparietal network (FPN, p = 0.001). ECT treatment normalized these hyper-connections, with connectivity between the FPN and limbic system (LMB) showing the most significant reduction ( p < 0.001). Post-hoc analysis indicated that the FPN-LMB connectivity was also significantly altered in the SA group compared to the SI group ( p = 0.001), which may reflect the elevation of suicide risk across these two groups. These findings suggest that functional coupling between the FPN and LMB may constitute an important biomarker for evaluating suicide risk and may provide potential targets for interventions such as non-invasive brain stimulation.

Resting-state functional magnetic resonance imaging (rs-fMRI) can reflect spontaneous neural activities in the brain and is widely used for brain disorder analysis. Previous studies focus on extracting fMRI representations using machine/deep learning methods, but these features typically lack biological interpretability. The human brain exhibits a remarkable modular structure in spontaneous brain functional networks, with each module comprised of functionally interconnected brain regions-of-interest (ROIs). However, existing learning-based methods cannot adequately utilize such brain modularity prior. In this paper, we propose a brain modularity-constrained dynamic representation learning framework for interpretable fMRI analysis, consisting of dynamic graph construction, dynamic graph learning via a novel modularity-constrained graph neural network (MGNN), and prediction and biomarker detection. The designed MGNN is constrained by three core neurocognitive modules (i.e., salience network, central executive network, and default mode network), encouraging ROIs within the same module to share similar representations. To further enhance discriminative ability of learned features, we encourage the MGNN to preserve network topology of input graphs via a graph topology reconstruction constraint. Experimental results on 534 subjects with rs-fMRI scans from two datasets validate the effectiveness of the proposed method. The identified discriminative brain ROIs and functional connectivities can be regarded as potential fMRI biomarkers to aid in clinical diagnosis.

Anti-leucine-rich glioma-inactivated 1 (LGI1) antibody-associated encephalitis is a rare but clinically significant form of autoimmune encephalitis, predominantly affecting middle-aged men. Its heterogeneous clinical presentation often leads to misdiagnosis, commonly as other neurological or psychiatric disorders. This report details the case of a 46-year-old male who initially presented with depressive symptoms, personality changes, and visual hallucinations. Over time, his condition progressed to include memory impairment, disorganized behavior, and seizures. Initially misdiagnosed with schizophrenia, the correct diagnosis of LGI1 antibody-associated encephalitis was eventually established through positive serum and cerebrospinal fluid (CSF) tests for LGI1 antibodies. Neuroimaging findings revealed characteristic bilateral temporal lobe lesions. The patient demonstrated marked improvement following treatment with methylprednisolone and intravenous immunoglobulin, ultimately achieving significant recovery. This case highlights the critical importance of comprehensive antibody testing and neuroimaging in patients presenting with nonspecific psychiatric and neurological symptoms to prevent misdiagnosis and delays in appropriate treatment. The article also reviews the pathogenesis, clinical manifestations, diagnostic approaches, and therapeutic strategies for LGI1 antibody-associated encephalitis, aiming to enhance clinical awareness and optimize patient outcomes.

Abstract Background Rapid cycling bipolar disorder (RCBD), characterized by four or more episodes per year, is a complex subtype of bipolar disorder (BD) with poorly understood characteristics. Method This multicenter, observational, longitudinal cohort study enrolled 520 BD patients across seven psychiatric institutions in China from January 2013 to January 2014. Participants were divided into RCBD and non-RCBD (NRCBD) groups based on the frequency of mood episodes in the preceding year. Data collection utilized a standardized form, supplemented by a medical record review, focusing on sociodemographic, clinical, and treatment characteristics. Statistical analysis involved independent samples t-tests, Kruskal–Wallis H tests, Chi-square or Fisher's exact tests, with Bonferroni correction applied to account for multiple comparisons, and multivariable logistic regression to identify characteristics associated with RCBD. Results Among the BD cohort, 9.4% were identified as current RCBD. Compared to NRCBD, RCBD patients had a shorter duration from the first psychiatric consultation to the diagnosis of BD, a reduced duration of their longest period of euthymia, a lower proportion of lifetime hospitalization history due to BD, and less use of electroconvulsive therapy (ECT) within the last 12 months. Additionally, they presented higher baseline scores on the Mood Disorder Questionnaire (MDQ) and the Brief 16-item Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR16). However, after applying the Bonferroni correction, these differences were not statistically significant. Multivariable logistic regression analysis identified three factors that were independently associated with RCBD: time from first psychiatric consultation to BD diagnosis (Odds Ratio [OR] = 0.512, P = 0.0416), lifetime hospitalization history due to BD (OR = 0.516, P = 0.0476), and ECT treatment within the past 12 months (OR = 0.293, P = 0.0472). Conclusion This study revealed that the duration from first psychiatric consultation to BD diagnosis, lifetime hospitalization history due to BD, and ECT treatment in the past year were associated with RCBD. Recognizing these factors could contribute to enhance the early identification and clinical outcomes of RCBD. Trial Registration Number Registry ClinicalTrials.gov NCT01770704. Date of Registration: First posted on January 18, 2013.

Venous thromboembolism (VTE) comprises pulmonary embolism (PE) and deep vein thrombosis (DVT). PE, as the most severe manifestation of VTE, can cause increased mortality in patients with mental disorders. Here we describe two cases of young male patients with catatonia who developed PE and DVT during their hospital stay. We also discuss the possible pathogenesis, with a focus on immune and inflammatory mechanisms.

ObjectiveSuicidality is commonly observed in patients with depressive episodes, and electroconvulsive therapy (ECT) has been found to be effective in treating these patients. However, the role of ECT in suicidality remains unclear. This study used resting-state functional magnetic resonance imaging (rs-fMRI) to explore the changes in brain function before and after ECT in depressed patients with suicidality.MethodsIn total, 26 depressed patients with suicidality underwent rs-fMRI at baseline and after 8–12 sessions of ECT. In addition, 32 healthy controls (HCs) matched for age, gender, and educational level underwent rs-fMRI once. The amplitude of low-frequency fluctuations (ALFF), the fractional amplitude of low-frequency fluctuations (fALFF), and regional homogeneity (ReHo) were measured to evaluate whole brain function. Differences between the groups and time points (before and after ECT) were compared. Clinical symptoms were assessed using the 17-item Hamilton Depression Scale (HAMD-17) and Beck Scale for Suicide Ideation (BSSI).ResultsAt baseline, patients exhibited decreased ALFF in the right postcentral and precentral gyrus and decreased fALFF in the right supramarginal and postcentral gyrus, left superior frontal gyrus (SFG), as well as the superior and middle temporal gyrus compared to HCs. Patients also had lower ReHo in the left amygdala, anterior cingulate, and postcentral gyrus, and in the right thalamus, insula, and postcentral gyrus. They also exhibited higher ALFF in the bilateral temporal gyrus and insula as well as higher fALFF in the cerebellum. Following ECT, fALFF in the left SFG and orbital frontal cortex (OFC) significantly increased and was inversely correlated with the reduction of BSSI scores (r = −0.416, p = 0.048), whereas no correlation was found with changes in HAMD-17scores.ConclusionOur findings suggest that the left SFG and OFC may play a key role in the mechanism of ECT for suicidality. The decrease of fALFF in the left SFG and OFC may represent a potential mechanism through which ECT effectively treats suicidality in depressed patients.

This paper reviews the underlying evidence for various aspects of the convergence mechanism of mindfulness intervention in attention deficit hyperactivity disorder (ADHD). There may be compatibility among various ADHD remission models and the therapeutic mechanism of mindfulness intervention in ADHD may be mainly via the convergence mechanism. However, neuroimaging-based analysis of the mechanisms of mindfulness intervention in treating ADHD is lacking. Differences in the efficacy of various subtypes of mindfulness intervention, and corresponding specific imaging changes need further investigation. Future research may focus on the neuroimaging features of specific mindfulness intervention subtypes.

Purpose Mild cognitive impairment in chronic obstructive pulmonary disease (COPD) is receiving more and more attentions. Cerebral structural and functional abnormalities in COPD have been reported, the neurovascular coupling changes during resting state in COPD are rarely investigated. Our study was aimed to characterize neurovascular coupling changes in patients with COPD by using arterial spin labeling (ASL) and blood oxygenation level dependent (BOLD) techniques. Methods Forty-five stable COPD patients and forty gender- and age-matched healthy controls were recruited. And BOLD and ASL were acquired for calculating degree centrality (DC) and cerebral blood flow (CBF) respectively. The CBF-DC coupling and CBF/DC ratio were compared between the two groups. Results COPD patients showed abnormal CBF, DC and CBF/DC ratio in several regions. And lower CBF/DC ratio in left lingual gyrus negatively correlated with naming scores, lower CBF/DC ratio in medial frontal cortex/temporal gyrus positively correlated with MoCA, visuospatial/executive and delayed recall scores. Conclusion The abnormal neurovascular changes may be a possible neuropathological mechanism of mild cognitive impairment in stable COPD patients.

The aim of this study is to investigate the alterations of interhemispheric functional connectivity in patients with postpartum depression (PPD) during resting state, and their potential correlations with clinical severity. Twenty- eight patients with PPD and twenty-five matched healthy postpartum (HP) women within 4 weeks after delivery were recruited and performed resting-state functional magnetic resonance imaging(fMRI) scans. Voxel-mirrored homotopic connectivity (VMHC), which is useful for exploring interhemispheric functional connectivity, and has been widely utilized to identify abnormal functional connectivity between the symmetrical brain regions in many diseases, was calculated in the present study, and intergroup VMHC differences in the voxel manner were analyzed. Correlations between VMHC values and clinical variables were also analyzed. Compared with HP, patients with PPD exhibited significantly decreased VMHC values in bilateral dorsomedial prefrontal cortex (dmPFC), dorsal anterior cingulate cortex (dACC) and orbitofrontal cortex (OFC). Furthermore, VMHC values within the dmPFC negatively correlated with the Edinburgh postpartum depression scale (EPDS) score. These findings suggested that functional coordination between several homotopic brain regions were impaired in patients with PPD. This study provided evidences of aberrant interhemispheric connectivity within brain regions involved in the maternal care network in PPD, and may contribute to the further understanding of the neural mechanism underlying PPD.

BACKGROUND:Aberrant functional and structural connectivity are considered to be involved in the underlying neural mechanism of generalized anxiety disorder (GAD). However, alterations in functional and structural interactions between the bilateral hemispheres are rarely examined. The current study aimed to characterized interhemispheric resting-state functional connectivity and white matter microstructural integrity of the corpus callosum in patients with GAD.METHODS:Resting-state Blood oxygen level-dependent and diffusion tensor image were acquired for patients with GAD and healthy subjects. The two groups were matched in age, gender, education years. The voxel-mirrored homotopic connectivity (VMHC) of whole brain and white matter integrity of the corpus callosum (CC) were compared between the two groups. Their correlations with clinical measures were further performed.RESULTS:Compare to controls, decreased resting-state VMHC were found in the precentral gyrus, middle cingulate gyrus and insula/putamen in patients with GAD. No regions of increased VMHC were detected in GAD. Compared to controls, GAD patients showed decreased fractional anisotropy (FA) values in CC2. In GAD group, further Pearson's correlation analyses showed that VMHC of the midcingulate gyrus positively correlated with FA of CC2, FA of CC2 negatively correlated with anxiety severity. Further mediation analyses demonstrated that attenuated VMHC in bilateral midcingulate gyrus partly mediated the association between white matter integrity of CC2 sub-region and anxiety severity.CONCLUSION:Our findings suggested impairment of interhemispheric coordination in GAD. Moreover, disrupted interhemispheric connectivity correlated with anxiety severity in GAD. Our findings provided a novel clue about the neural mechanism of GAD, and may contribute to further deep exploration and treatment of GAD.LIMITATIONS:The study was lack of comparison with non-GAD anxiety disorders.