1.Effect of electroconvulsive therapy on brain functional network in major depressive disorder.
Shuxiang TIAN ; Guizhi XU ; Xinsheng YANG ; B Fitzgerald PAUL ; Wang ALAN
Journal of Biomedical Engineering 2023;40(3):426-433
Electroconvulsive therapy (ECT) is an interventional technique capable of highly effective neuromodulation in major depressive disorder (MDD), but its antidepressant mechanism remains unclear. By recording the resting-state electroencephalogram (RS-EEG) of 19 MDD patients before and after ECT, we analyzed the modulation effect of ECT on the resting-state brain functional network of MDD patients from multiple perspectives: estimating spontaneous EEG activity power spectral density (PSD) using Welch algorithm; constructing brain functional network based on imaginary part coherence (iCoh) and calculate functional connectivity; using minimum spanning tree theory to explore the topological characteristics of brain functional network. The results show that PSD, functional connectivity, and topology in multiple frequency bands were significantly changed after ECT in MDD patients. The results of this study reveal that ECT changes the brain activity of MDD patients, which provides an important reference in the clinical treatment and mechanism analysis of MDD.
Humans
;
Depressive Disorder, Major/therapy*
;
Electroconvulsive Therapy
;
Brain
;
Algorithms
;
Electroencephalography
2.Recent research on the association between depressive disorder and gene polymorphisms in adolescents.
Ke-Ke YAO ; Qiang-Li DONG ; Lan-Xian YE
Chinese Journal of Contemporary Pediatrics 2023;25(3):328-332
Biogenetics plays an important role in the pathogenesis of depressive disorder in adolescents. Various genetic polymorphism studies have updated the understanding of adolescent depressive disorder. However, due to the influence of gene-environment interaction and age of puberty, the influence of gene polymorphisms on adolescent depressive disorder is complicated to clarify. Investigating and clarifying the relationship between gene polymorphisms and adolescent depressive disorder will promote the research on the pathogenesis of this disorder and provide a reference for the prevention and treatment of this disorder. This article reviews the genetic polymorphisms related to adolescent depressive disorder.
Humans
;
Adolescent
;
Depressive Disorder, Major/genetics*
;
Polymorphism, Genetic
;
Gene-Environment Interaction
;
Polymorphism, Single Nucleotide
;
Genetic Predisposition to Disease
4.A Comprehensive Overview of the Role of Visual Cortex Malfunction in Depressive Disorders: Opportunities and Challenges.
Fangfang WU ; Qingbo LU ; Yan KONG ; Zhijun ZHANG
Neuroscience Bulletin 2023;39(9):1426-1438
Major depressive disorder (MDD) is a highly heterogeneous mental disorder, and its complex etiology and unclear mechanism are great obstacles to the diagnosis and treatment of the disease. Studies have shown that abnormal functions of the visual cortex have been reported in MDD patients, and the actions of several antidepressants coincide with improvements in the structure and synaptic functions of the visual cortex. In this review, we critically evaluate current evidence showing the involvement of the malfunctioning visual cortex in the pathophysiology and therapeutic process of depression. In addition, we discuss the molecular mechanisms of visual cortex dysfunction that may underlie the pathogenesis of MDD. Although the precise roles of visual cortex abnormalities in MDD remain uncertain, this undervalued brain region may become a novel area for the treatment of depressed patients.
Humans
;
Depressive Disorder, Major/pathology*
;
Brain/pathology*
;
Antidepressive Agents/therapeutic use*
;
Visual Cortex/pathology*
6.Shared and distinct abnormalities of brain magnetization transfer ratio in schizophrenia and major depressive disorder: a comparative voxel-based meta-analysis.
Huan LAN ; Xueling SUO ; Chao ZUO ; Weishi NI ; Song WANG ; Graham J KEMP ; Qiyong GONG
Chinese Medical Journal 2023;136(23):2824-2833
BACKGROUND:
Patients with schizophrenia (SCZ) and major depressive disorder (MDD) share significant clinical overlap, although it remains unknown to what extent this overlap reflects shared neural profiles. To identify the shared and specific abnormalities in SCZ and MDD, we performed a whole-brain voxel-based meta-analysis using magnetization transfer imaging, a technique that characterizes the macromolecular structural integrity of brain tissue in terms of the magnetization transfer ratio (MTR).
METHODS:
A systematic search based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was conducted in PubMed, EMBASE, International Scientific Index (ISI) Web of Science, and MEDLINE for relevant studies up to March 2022. Two researchers independently screened the articles. Rigorous scrutiny and data extraction were performed for the studies that met the inclusion criteria. Voxel-wise meta-analyses were conducted using anisotropic effect size-signed differential mapping with a unified template. Meta-regression was used to explore the potential effects of demographic and clinical characteristics.
RESULTS:
A total of 15 studies with 17 datasets describing 365 SCZ patients, 224 MDD patients, and 550 healthy controls (HCs) were identified. The conjunction analysis showed that both disorders shared higher MTR than HC in the left cerebellum ( P =0.0006) and left fusiform gyrus ( P =0.0004). Additionally, SCZ patients showed disorder-specific lower MTR in the anterior cingulate/paracingulate gyrus, right superior temporal gyrus, and right superior frontal gyrus, and higher MTR in the left thalamus, precuneus/cuneus, posterior cingulate gyrus, and paracentral lobule; and MDD patients showed higher MTR in the left middle occipital region. Meta-regression showed no statistical significance in either group.
CONCLUSIONS
The results revealed a structural neural basis shared between SCZ and MDD patients, emphasizing the importance of shared neural substrates across psychopathology. Meanwhile, distinct disease-specific characteristics could have implications for future differential diagnosis and targeted treatment.
Humans
;
Depressive Disorder, Major/drug therapy*
;
Schizophrenia/pathology*
;
Brain/pathology*
;
Prefrontal Cortex
;
Frontal Lobe
;
Magnetic Resonance Imaging/methods*
7.Basal Forebrain Cholinergic Innervation Induces Depression-Like Behaviors Through Ventral Subiculum Hyperactivation.
Nana YU ; Huina SONG ; Guangpin CHU ; Xu ZHAN ; Bo LIU ; Yangling MU ; Jian-Zhi WANG ; Yisheng LU
Neuroscience Bulletin 2023;39(4):617-630
Malfunction of the ventral subiculum (vSub), the main subregion controlling the output connections from the hippocampus, is associated with major depressive disorder (MDD). Although the vSub receives cholinergic innervation from the medial septum and diagonal band of Broca (MSDB), whether and how the MSDB-to-vSub cholinergic circuit is involved in MDD is elusive. Here, we found that chronic unpredictable mild stress (CUMS) induced depression-like behaviors with hyperactivation of vSub neurons, measured by c-fos staining and whole-cell patch-clamp recording. By retrograde and anterograde tracing, we confirmed the dense MSDB cholinergic innervation of the vSub. In addition, transient restraint stress in CUMS increased the level of ACh in the vSub. Furthermore, chemogenetic stimulation of this MSDB-vSub innervation in ChAT-Cre mice induced hyperactivation of vSub pyramidal neurons along with depression-like behaviors; and local infusion of atropine, a muscarinic receptor antagonist, into the vSub attenuated the depression-like behaviors induced by chemogenetic stimulation of this pathway and CUMS. Together, these findings suggest that activating the MSDB-vSub cholinergic pathway induces hyperactivation of vSub pyramidal neurons and depression-like behaviors, revealing a novel circuit underlying vSub pyramidal neuronal hyperactivation and its associated depression.
Rats
;
Mice
;
Animals
;
Rats, Sprague-Dawley
;
Depressive Disorder, Major/metabolism*
;
Basal Forebrain
;
Depression
;
Hippocampus/metabolism*
;
Cholinergic Agents
8.The Emotion-Regulation Benefits of Implicit Reappraisal in Clinical Depression: Behavioral and Electrophysiological Evidence.
Jiajin YUAN ; Yueyao ZHANG ; Yanli ZHAO ; Kexiang GAO ; Shuping TAN ; Dandan ZHANG
Neuroscience Bulletin 2023;39(6):973-983
Major depressive disorder (MDD) is characterized by emotion dysregulation. Whether implicit emotion regulation can compensate for this deficit remains unknown. In this study, we recruited 159 subjects who were healthy controls, had subclinical depression, or had MDD, and examined them under baseline, implicit, and explicit reappraisal conditions. Explicit reappraisal led to the most negative feelings and the largest parietal late positive potential (parietal LPP, an index of emotion intensity) in the MDD group compared to the other two groups; the group difference was absent under the other two conditions. MDD patients showed larger regulatory effects in the LPP during implicit than explicit reappraisal, whereas healthy controls showed a reversed pattern. Furthermore, the frontal P3, an index of voluntary cognitive control, showed larger amplitudes in explicit reappraisal compared to baseline in the healthy and subclinical groups, but not in the MDD group, while implicit reappraisal did not increase P3 across groups. These findings suggest that implicit reappraisal is beneficial for clinical depression.
Humans
;
Depressive Disorder, Major/psychology*
;
Emotional Regulation
;
Depression
;
Emotions/physiology*
;
Cognition/physiology*
9.Changes in the prevalence of comorbidity of mental and physical disorders in Singapore between 2010 and 2016.
Edimansyah ABDIN ; Siow Ann CHONG ; Janhavi Ajit VAINGANKAR ; Saleha SHAFIE ; Darren SEAH ; Chun Ting CHAN ; Stefan MA ; Lyn JAMES ; Derrick HENG ; Mythily SUBRAMANIAM
Singapore medical journal 2022;63(4):196-202
INTRODUCTION:
Few studies have examined the changes in the prevalence of comorbidity of mental and physical disorders in recent years. The present study sought to examine whether the prevalence of comorbidity of mental and physical disorders in Singapore showed any changes between 2010 and 2016.
METHODS:
We extracted data from two repeated nationally representative cross-sectional surveys conducted among resident adults aged ≥ 18 years in Singapore. Significant changes were tested using pooled multinomial logistic regression analyses.
RESULTS:
The prevalence of comorbid mental and physical disorders increased significantly from 5.8% in 2010 to 6.7% in 2016. Among those with physical disorders, there were significant increases over time in the prevalence of comorbid generalised anxiety disorder (GAD) (0.1% vs. 0.4%) and obsessive-compulsive disorder (OCD) (1.4% vs. 3.9%) in diabetes mellitus, and alcohol dependence in cardiovascular disorders (0.1% vs. 1.3%). Among those with mental disorders, there were significant increases over time in the prevalence of comorbid diabetes mellitus in OCD (4.1% vs. 10.9%), cancer in major depressive disorder (0.4% vs. 2.4%), and cardiovascular disorders in GAD (0.4% vs. 6.7%) and alcohol dependence (0.9% vs. 11.8%). Significant changes in the overall prevalence of comorbid mental and physical disorders were also observed across age group, education and employment status.
CONCLUSION
The prevalence of comorbid mental and physical disorders increased significantly over time. This finding supports the need for more appropriate clinical management with better integration between mental health and general medical care professionals across all aspects of the healthcare system to treat this comorbidity in Singapore.
Adult
;
Alcoholism/epidemiology*
;
Comorbidity
;
Cross-Sectional Studies
;
Depressive Disorder, Major/epidemiology*
;
Humans
;
Mental Disorders/epidemiology*
;
Prevalence
;
Singapore/epidemiology*

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